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{"example_id": 1586, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1586\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 65\nParagraph: The Supreme Court has explained that “obtained,” in the context of § 1963(a), means “ ‘to come into possession of’ or to ‘get or acquire.’ ” Honeycutt, 137 S. Ct. at 1632 (quoting Random House Dictionary of the English Language 995 (1966)). We recently clarified in United States v. Cadden that a person “obtains” property for purposes of § 1963(a) “even when the property is merely ‘held in custody’ before being ‘passed along to its true owner.’ ” 965 F.3d 1, 39 (1st Cir. 2020) (quoting Appellants' Direct Appeal, 63 F.3d at 21). We also explained there that an individual “obtains” all funds that are held, even temporarily, in an account jointly owned with another because, as joint owners, both individuals have “ ‘the right to withdraw all the funds’ from the account, ‘or any portion of them,’ and therefore could ‘effectively exercise control over the entire interest, or any part of it, and divest totally or partially, the interest of’ ” the other account owner. Id. (quoting United States v. U.S. Currency, $81,000.00, 189 F.3d 28, 34 (1st Cir. 1999)).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1586_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1586, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1586\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 65\nParagraph: The Supreme Court has explained that “obtained,” in the context of § 1963(a), means “ ‘to come into possession of’ or to ‘get or acquire.’ ” Honeycutt, 137 S. Ct. at 1632 (quoting Random House Dictionary of the English Language 995 (1966)). We recently clarified in United States v. Cadden that a person “obtains” property for purposes of § 1963(a) “even when the property is merely ‘held in custody’ before being ‘passed along to its true owner.’ ” 965 F.3d 1, 39 (1st Cir. 2020) (quoting Appellants' Direct Appeal, 63 F.3d at 21). We also explained there that an individual “obtains” all funds that are held, even temporarily, in an account jointly owned with another because, as joint owners, both individuals have “ ‘the right to withdraw all the funds’ from the account, ‘or any portion of them,’ and therefore could ‘effectively exercise control over the entire interest, or any part of it, and divest totally or partially, the interest of’ ” the other account owner. Id. (quoting United States v. U.S. Currency, $81,000.00, 189 F.3d 28, 34 (1st Cir. 1999)).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1586_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1586_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text explains that 'obtained' under § 1963(a) means 'to come into possession of' or 'to get or acquire'.\",\n \"The text clarifies that a person 'obtains' property even when it is held in custody before being passed along to the true owner.\",\n \"The text explains that an individual 'obtains' all funds held, even temporarily, in an account jointly owned with another because both have the right to withdraw all funds or any portion thereof.\",\n \"The text quotes Honeycutt, 137 S. Ct. at 1632 (Random House Dictionary definition of 'obtained').\",\n \"The text quotes United States v. Cadden, 965 F.3d 1, 39 (1st Cir. 2020) regarding custody and obtaining property.\",\n \"The text quotes United States v. U.S. Currency, $81,000.00, 189 F.3d 28, 34 (1st Cir. 1999) regarding joint account rights.\",\n \"The text is from a court opinion discussing the interpretation of 'obtained' in the cont
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{"example_id": 1586, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1586\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 65\nParagraph: The Supreme Court has explained that “obtained,” in the context of § 1963(a), means “ ‘to come into possession of’ or to ‘get or acquire.’ ” Honeycutt, 137 S. Ct. at 1632 (quoting Random House Dictionary of the English Language 995 (1966)). We recently clarified in United States v. Cadden that a person “obtains” property for purposes of § 1963(a) “even when the property is merely ‘held in custody’ before being ‘passed along to its true owner.’ ” 965 F.3d 1, 39 (1st Cir. 2020) (quoting Appellants' Direct Appeal, 63 F.3d at 21). We also explained there that an individual “obtains” all funds that are held, even temporarily, in an account jointly owned with another because, as joint owners, both individuals have “ ‘the right to withdraw all the funds’ from the account, ‘or any portion of them,’ and therefore could ‘effectively exercise control over the entire interest, or any part of it, and divest totally or partially, the interest of’ ” the other account owner. Id. (quoting United States v. U.S. Currency, $81,000.00, 189 F.3d 28, 34 (1st Cir. 1999)).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1586_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1586_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text explains that 'obtained' under § 1963(a) means 'to come into possession of' or 'to get or acquire'.\",\n \"The text clarifies that a person 'obtains' property even when it is held in custody before being passed along to the true owner.\",\n \"The text explains that an individual 'obtains' all funds held, even temporarily, in an account jointly owned with another because both have the right to withdraw all funds or any portion thereof.\",\n \"The text quotes Honeycutt, 137 S. Ct. at 1632 (Random House Dictionary definition of 'obtained').\",\n \"The text quotes United States v. Cadden, 965 F.3d 1, 39 (1st Cir. 2020) regarding custody and obtaining property.\",\n \"The text quotes United States v. U.S. Currency, $81,000.00, 189 F.3d 28, 34 (1st Cir. 1999) regarding joint account rights.\",\n \"The text is from a court opinion discussing the interpretation of 'obtained' in the cont
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{"example_id": 404, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 404\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"In constitutional terms, 'veto' is used to describe the President's power under Art. I, § 7 of the Constitution.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_404_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 404, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 404\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"In constitutional terms, 'veto' is used to describe the President's power under Art. I, § 7 of the Constitution.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_404_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_404_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Accuracy of constitutional definition: a text is classified as correct if it accurately describes a term's meaning as established in the Constitution.\",\n \"source\": \"Constitutional law principles\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text must correctly identify the constitutional provision governing the term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly cites Art. I, § 7 of the Constitution.\"\n },\n {\n \"element\": \"The text must correctly describe the term's meaning.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'veto' is used to describe the President's power under that provision, which is accurate.\"\n }\n ],\n \"conclusion_logic\": \"If both elements are satisfied (correct term-meaning and correct constitutional citation), then the text meets the standard for the positive classification; otherwise it does not and falls under the negative classification.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_404_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 404, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 404\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"In constitutional terms, 'veto' is used to describe the President's power under Art. I, § 7 of the Constitution.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_404_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_404_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Accuracy of constitutional definition: a text is classified as correct if it accurately describes a term's meaning as established in the Constitution.\",\n \"source\": \"Constitutional law principles\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text must correctly identify the constitutional provision governing the term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly cites Art. I, § 7 of the Constitution.\"\n },\n {\n \"element\": \"The text must correctly describe the term's meaning.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'veto' is used to describe the President's power under that provision, which is accurate.\"\n }\n ],\n \"conclusion_logic\": \"If both elements are satisfied (correct term-meaning and correct constitutional citation), then the text meets the standard for the positive classification; otherwise it does not and falls under the negative classification.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_404_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_404_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes President's power under Art. I, § 7 of the Constitution\",\n \"Text uses 'veto' and mentions constitutional terms\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a complete definition of 'veto'\",\n \"Whether the text is self-contained or requires external context\"\n ],\n \"knowledge_slots\": [\n \"A definition typically explains the meaning of a term, often including scope and context\",\n \"Legal definitions may require citation to a specific source or provision\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is insufficient as a standalone definition\",\n \"Further clarification or context is needed t
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{"example_id": 242, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 242\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"That absurdity is not only at war with the English language, it is flatly inconsistent with definitions of “domestic violence” from the period surrounding § 921(a)(33)(A)(ii)'s enactment.\"At the time, dictionaries defined “domestic violence” as, for instance, “[v]iolence between members of a household, usu. spouses; an assault or other violent act committed by one member of a household against another,” Black's Law Dictionary 1564 (7th ed. 1999), and “[v]iolence toward or physical *180 abuse of one's spouse or domestic partner,” American Heritage Dictionary 534 (4th ed. 2000).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_242_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 242, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 242\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"That absurdity is not only at war with the English language, it is flatly inconsistent with definitions of “domestic violence” from the period surrounding § 921(a)(33)(A)(ii)'s enactment.\"At the time, dictionaries defined “domestic violence” as, for instance, “[v]iolence between members of a household, usu. spouses; an assault or other violent act committed by one member of a household against another,” Black's Law Dictionary 1564 (7th ed. 1999), and “[v]iolence toward or physical *180 abuse of one's spouse or domestic partner,” American Heritage Dictionary 534 (4th ed. 2000).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_242_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_242_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text cites historical dictionary definitions of 'domestic violence' to support a point about consistency with a legal definition\",\n \"Definitions from Black's Law Dictionary and American Heritage Dictionary are provided\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text primarily functions as an instance of a definition classification task (yes) or not (no)\",\n \"Whether the text itself is a definition or a statement referencing definitions\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks involve determining if a given text exemplifies a specific definition\",\n \"Legal definition classification may require comparing text to statutory or dictionary definitions\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the criteria for the classification task as defined in the task setup\",\n \"The text is not an example of the target definition\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly references definitions and discusses consistency with them\",\n \"The task expects classification of texts that cite definitions\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text qualifies as an example of the definition classification task (e.g., it is a statement about definitions)\",\n \"The task considers any text mentioning definitions as a 'yes' instance\"\n ],\n \"less_relevant_if\": [\n \"The text is not itself a definition but merely discusses a definiti
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{"example_id": 1612, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1612\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: Because the evidence amply supports the district court's conclusion that the game was created at the instance and expense of Klamer and that there is insufficient evidence to rebut the resulting work for hire presumption, we need not address the defendants' alternative theory for affirmance: that the game was a work for hire created by Chambers and Israel -- with Markham as the “employer.” This alternative argument -- essentially, another way of establishing that the game was a work for hire -- would also mean that no termination rights exist and would similarly spell defeat for Markham's successors-in-interest.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1612_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1612, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1612\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: Because the evidence amply supports the district court's conclusion that the game was created at the instance and expense of Klamer and that there is insufficient evidence to rebut the resulting work for hire presumption, we need not address the defendants' alternative theory for affirmance: that the game was a work for hire created by Chambers and Israel -- with Markham as the “employer.” This alternative argument -- essentially, another way of establishing that the game was a work for hire -- would also mean that no termination rights exist and would similarly spell defeat for Markham's successors-in-interest.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1612_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1612_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Evidence supports district court's conclusion that game was created at instance and expense of Klamer\",\n \"Insufficient evidence to rebut work for hire presumption\",\n \"Defendants' alternative theory (game was work for hire created by Chambers and Israel) is not addressed\",\n \"Alternative argument would also mean no termination rights and defeat for Markham's successors-in-interest\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text focuses on evaluating evidence (analysis) or stating a final outcome (conclusion)\",\n \"Whether the text addresses a specific legal issue or recounts procedural events\",\n \"Whether the text states a rule of law or applies it to facts\"\n ],\n \"knowledge_slots\": [\n \"Analysis section evaluates supporting and alternative arguments\",\n \"Conclusion section states the court's ultimate decision\",\n \"Issue section identifies the legal question\",\n \"Procedural History section recounts prior court actions\",\n \"Facts section summarizes factual findings\",\n \"Rule section states a legal standard\",\n \"Decree section contains the court's order\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"text evaluates evidence and arguments without resolving the issue\"],\n \"less_relevant_if\": [\"text explicitly states a final outcome or rule\"]\n
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{"example_id": 2262, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2262\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To significantly lower prescription drug prices for patients in the United States by ending government-granted monopolies for manufacturers who charge drug prices that are higher than the median prices at which the drugs are available in other countries.\nbill_summary: Prescription Drug Price Relief Act of 2019\n\nThis bill establishes a series of oversight and disclosure requirements relating to the prices of brand-name drugs. Specifically, the bill requires the Department of Health and Human Services (HHS) to review at least annually all brand-name drugs for excessive pricing; HHS must also review prices upon petition. If any such drugs are found to be excessively priced, HHS must (1) void any government-granted exclusivity; (2) issue open, nonexclusive licenses for the drugs; and (3) expedite the review of corresponding applications for generic drugs and biosimilar biological products. HHS must also create a public database with its determinations for each drug.\n\nUnder the bill, a price is considered excessive if the domestic average manufacturing price exceeds the median price for the drug in Canada, the United Kingdom, Germany, France, and Japan. If a price does not meet this criteria, or if pricing information is unavailable in at least three of the aforementioned countries, the price is still considered excessive if it is higher than reasonable in light of specified factors, including cost, revenue, and the size of the affected patient population.\n\nThe bill also requires drug manufacturers to report specified financial information for brand-name drugs, including research and advertising expenditures.\ncompany_name: Adamas Pharmaceuticals, Inc.\ncompany_description: At Adamas Pharmaceuticals, Inc., we seek to redefine the treatment experience for patients suffering from chronic neurological diseases. Our vision is grand, our goal bold: to create and commercialize a new generation of medicines intended to lessen the burden of disease on patients, caregivers and society. With a new commercial medicine and robust pipeline of investigational programs focused on meaningfully differentiated treatment options for patients, we believe we are well on our way. Our therapeutic targets include a broad range of neurologic diseases, including Parkinson's disease, multiple sclerosis, epilepsy and Alzheimer's disease. Our treatment innovations stem from a deep scientific understanding of time-dependent biology – the deliberate mapping of disease patterns and drug activity – along with a goal to meaningfully increase the efficacy of known molecules without compromising tolerability. This approach is designed to ensure that our medicines fit within, rather than define, people's daily lives. Our goal
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{"example_id": 2262, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2262\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To significantly lower prescription drug prices for patients in the United States by ending government-granted monopolies for manufacturers who charge drug prices that are higher than the median prices at which the drugs are available in other countries.\nbill_summary: Prescription Drug Price Relief Act of 2019\n\nThis bill establishes a series of oversight and disclosure requirements relating to the prices of brand-name drugs. Specifically, the bill requires the Department of Health and Human Services (HHS) to review at least annually all brand-name drugs for excessive pricing; HHS must also review prices upon petition. If any such drugs are found to be excessively priced, HHS must (1) void any government-granted exclusivity; (2) issue open, nonexclusive licenses for the drugs; and (3) expedite the review of corresponding applications for generic drugs and biosimilar biological products. HHS must also create a public database with its determinations for each drug.\n\nUnder the bill, a price is considered excessive if the domestic average manufacturing price exceeds the median price for the drug in Canada, the United Kingdom, Germany, France, and Japan. If a price does not meet this criteria, or if pricing information is unavailable in at least three of the aforementioned countries, the price is still considered excessive if it is higher than reasonable in light of specified factors, including cost, revenue, and the size of the affected patient population.\n\nThe bill also requires drug manufacturers to report specified financial information for brand-name drugs, including research and advertising expenditures.\ncompany_name: Adamas Pharmaceuticals, Inc.\ncompany_description: At Adamas Pharmaceuticals, Inc., we seek to redefine the treatment experience for patients suffering from chronic neurological diseases. Our vision is grand, our goal bold: to create and commercialize a new generation of medicines intended to lessen the burden of disease on patients, caregivers and society. With a new commercial medicine and robust pipeline of investigational programs focused on meaningfully differentiated treatment options for patients, we believe we are well on our way. Our therapeutic targets include a broad range of neurologic diseases, including Parkinson's disease, multiple sclerosis, epilepsy and Alzheimer's disease. Our treatment innovations stem from a deep scientific understanding of time-dependent biology – the deliberate mapping of disease patterns and drug activity – along with a goal to meaningfully increase the efficacy of known molecules without compromising tolerability. This approach is designed to ensure that our medicines fit within, rather than define, people's daily lives. Our goal
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{"example_id": 2721, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2721\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 1. You may cancel your Account and terminate the Terms of Service at any time by contacting Shopify Support and then following the specific instructions indicated to you in Shopifys response.\n\n2. Upon termination of the Services by either party for any reason:\n1. Shopify will cease providing you with the Services and you will no longer be able to access your Account;\n2. unless otherwise provided in the Terms of Service, you will not be entitled to any refunds of any Fees, pro rata or otherwise;\n3. any outstanding balance owed to Shopify for your use of the Services through the effective date of such termination will immediately become due and payable in full; and\n4. your Store website will be taken offline.\n\n3. If you purchased a domain name through Shopify, upon cancellation your domain will no longer be automatically renewed. Following termination, it will be your sole responsibility to handle all matters related to your domain with the domain provider.\n\n4. If at the date of termination of the Service, there are any outstanding Fees owing by you, you will receive one final invoice via email. Once that invoice has been paid in full, you will not be charged again.\n\n5. We reserve the right to modify or terminate the Shopify Service, the Terms of Service and/or your Account for any reason, without notice at any time (unless otherwise required by applicable law). Termination of the Terms of Service shall be without prejudice to any rights or obligations which arose prior to the date of termination.\n\n6. Fraud: Without limiting any other remedies, Shopify may suspend or terminate your Account if we suspect that you (by conviction, settlement, insurance or escrow investigation, or otherwise) have engaged in fraudulent activity in connection with the use of the Services.\nquestion: Does Shopify generally issue refunds in the event of cancellation of an account?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2721_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 2721, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2721\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 1. You may cancel your Account and terminate the Terms of Service at any time by contacting Shopify Support and then following the specific instructions indicated to you in Shopifys response.\n\n2. Upon termination of the Services by either party for any reason:\n1. Shopify will cease providing you with the Services and you will no longer be able to access your Account;\n2. unless otherwise provided in the Terms of Service, you will not be entitled to any refunds of any Fees, pro rata or otherwise;\n3. any outstanding balance owed to Shopify for your use of the Services through the effective date of such termination will immediately become due and payable in full; and\n4. your Store website will be taken offline.\n\n3. If you purchased a domain name through Shopify, upon cancellation your domain will no longer be automatically renewed. Following termination, it will be your sole responsibility to handle all matters related to your domain with the domain provider.\n\n4. If at the date of termination of the Service, there are any outstanding Fees owing by you, you will receive one final invoice via email. Once that invoice has been paid in full, you will not be charged again.\n\n5. We reserve the right to modify or terminate the Shopify Service, the Terms of Service and/or your Account for any reason, without notice at any time (unless otherwise required by applicable law). Termination of the Terms of Service shall be without prejudice to any rights or obligations which arose prior to the date of termination.\n\n6. Fraud: Without limiting any other remedies, Shopify may suspend or terminate your Account if we suspect that you (by conviction, settlement, insurance or escrow investigation, or otherwise) have engaged in fraudulent activity in connection with the use of the Services.\nquestion: Does Shopify generally issue refunds in the event of cancellation of an account?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2721_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2721_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [\n {\n \"text\": \"unless otherwise provided in the Terms of Service, you will not be entitled to any refunds of any Fees, pro rato or otherwise;\",\n \"relevance\": 0.95,\n \"polarity\": \"oppose\"\n }\n ],\n \"extracted_facts\": [\n \"Upon termination, Shopify will cease providing services and user will lose access to a
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{"example_id": 2721, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2721\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 1. You may cancel your Account and terminate the Terms of Service at any time by contacting Shopify Support and then following the specific instructions indicated to you in Shopifys response.\n\n2. Upon termination of the Services by either party for any reason:\n1. Shopify will cease providing you with the Services and you will no longer be able to access your Account;\n2. unless otherwise provided in the Terms of Service, you will not be entitled to any refunds of any Fees, pro rata or otherwise;\n3. any outstanding balance owed to Shopify for your use of the Services through the effective date of such termination will immediately become due and payable in full; and\n4. your Store website will be taken offline.\n\n3. If you purchased a domain name through Shopify, upon cancellation your domain will no longer be automatically renewed. Following termination, it will be your sole responsibility to handle all matters related to your domain with the domain provider.\n\n4. If at the date of termination of the Service, there are any outstanding Fees owing by you, you will receive one final invoice via email. Once that invoice has been paid in full, you will not be charged again.\n\n5. We reserve the right to modify or terminate the Shopify Service, the Terms of Service and/or your Account for any reason, without notice at any time (unless otherwise required by applicable law). Termination of the Terms of Service shall be without prejudice to any rights or obligations which arose prior to the date of termination.\n\n6. Fraud: Without limiting any other remedies, Shopify may suspend or terminate your Account if we suspect that you (by conviction, settlement, insurance or escrow investigation, or otherwise) have engaged in fraudulent activity in connection with the use of the Services.\nquestion: Does Shopify generally issue refunds in the event of cancellation of an account?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2721_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2721_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [\n {\n \"text\": \"unless otherwise provided in the Terms of Service, you will not be entitled to any refunds of any Fees, pro rato or otherwise;\",\n \"relevance\": 0.95,\n \"polarity\": \"oppose\"\n }\n ],\n \"extracted_facts\": [\n \"Upon termination, Shopify will cease providing services and user will lose access to a
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{"example_id": 2125, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2125\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide grants to State, local, territorial, and tribal law enforcement agencies to purchase chemical screening devices and train personnel to use chemical screening devices in order to enhance law enforcement efficiency and protect law enforcement officers.\nbill_summary: Providing Officers With Electronic Resources Act or the POWER Act\n\nThis bill authorizes the Office of Community Oriented Policing Services within the Department of Justice to make grants to law enforcement agencies to purchase a chemical screening device and to train personnel to use, and interpret data collected by, such device.\ncompany_name: Waters Corp.\ncompany_description: Business General Waters Corporation (the Company, we, our, or us) is a specialty measurement company that operates with a fundamental underlying purpose to advance the science that enables our customers to enhance human health and well-being. The Company has pioneered analytical workflow solutions involving liquid chromatography, mass spectrometry and thermal analysis innovations serving the life, materials and food sciences for more than 60 years. The Company primarily designs, manufactures, sells and services high performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC TM and together with HPLC, referred to as LC) and mass spectrometry (MS) technology systems and support products, including chromatography columns, other consumable products and comprehensive post-warranty service plans. These systems are complementary products that are frequently employed together (LC-MS) and sold as integrated instrument systems using common software platforms. In addition, the Company designs, manufactures, sells and services thermal analysis, rheometry and calorimetry instruments through its TA TM product line. The Company is also a developer and supplier of advanced software-based products that interface with the Companys instruments, as well as other manufacturers instruments. The Companys products are used by pharmaceutical, biochemical, industrial, nutritional safety, environmental, academic and governmental customers working in research and development, quality assurance and other laboratory applications. LC is a standard technique and is utilized in a broad range of industries to detect, identify, monitor and measure the chemical, physical and biological composition of materials, and to purify a full range of compounds. MS technology, principally in conjunction with chromatography, is employed in drug discovery and development, including clinical trial testing, the analysis of proteins in disease processes (known as proteomics), nutritional safety analysis and environmental te
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{"example_id": 2125, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2125\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide grants to State, local, territorial, and tribal law enforcement agencies to purchase chemical screening devices and train personnel to use chemical screening devices in order to enhance law enforcement efficiency and protect law enforcement officers.\nbill_summary: Providing Officers With Electronic Resources Act or the POWER Act\n\nThis bill authorizes the Office of Community Oriented Policing Services within the Department of Justice to make grants to law enforcement agencies to purchase a chemical screening device and to train personnel to use, and interpret data collected by, such device.\ncompany_name: Waters Corp.\ncompany_description: Business General Waters Corporation (the Company, we, our, or us) is a specialty measurement company that operates with a fundamental underlying purpose to advance the science that enables our customers to enhance human health and well-being. The Company has pioneered analytical workflow solutions involving liquid chromatography, mass spectrometry and thermal analysis innovations serving the life, materials and food sciences for more than 60 years. The Company primarily designs, manufactures, sells and services high performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC TM and together with HPLC, referred to as LC) and mass spectrometry (MS) technology systems and support products, including chromatography columns, other consumable products and comprehensive post-warranty service plans. These systems are complementary products that are frequently employed together (LC-MS) and sold as integrated instrument systems using common software platforms. In addition, the Company designs, manufactures, sells and services thermal analysis, rheometry and calorimetry instruments through its TA TM product line. The Company is also a developer and supplier of advanced software-based products that interface with the Companys instruments, as well as other manufacturers instruments. The Companys products are used by pharmaceutical, biochemical, industrial, nutritional safety, environmental, academic and governmental customers working in research and development, quality assurance and other laboratory applications. LC is a standard technique and is utilized in a broad range of industries to detect, identify, monitor and measure the chemical, physical and biological composition of materials, and to purify a full range of compounds. MS technology, principally in conjunction with chromatography, is employed in drug discovery and development, including clinical trial testing, the analysis of proteins in disease processes (known as proteomics), nutritional safety analysis and environmental te
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{"example_id": 2125, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2125\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide grants to State, local, territorial, and tribal law enforcement agencies to purchase chemical screening devices and train personnel to use chemical screening devices in order to enhance law enforcement efficiency and protect law enforcement officers.\nbill_summary: Providing Officers With Electronic Resources Act or the POWER Act\n\nThis bill authorizes the Office of Community Oriented Policing Services within the Department of Justice to make grants to law enforcement agencies to purchase a chemical screening device and to train personnel to use, and interpret data collected by, such device.\ncompany_name: Waters Corp.\ncompany_description: Business General Waters Corporation (the Company, we, our, or us) is a specialty measurement company that operates with a fundamental underlying purpose to advance the science that enables our customers to enhance human health and well-being. The Company has pioneered analytical workflow solutions involving liquid chromatography, mass spectrometry and thermal analysis innovations serving the life, materials and food sciences for more than 60 years. The Company primarily designs, manufactures, sells and services high performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC TM and together with HPLC, referred to as LC) and mass spectrometry (MS) technology systems and support products, including chromatography columns, other consumable products and comprehensive post-warranty service plans. These systems are complementary products that are frequently employed together (LC-MS) and sold as integrated instrument systems using common software platforms. In addition, the Company designs, manufactures, sells and services thermal analysis, rheometry and calorimetry instruments through its TA TM product line. The Company is also a developer and supplier of advanced software-based products that interface with the Companys instruments, as well as other manufacturers instruments. The Companys products are used by pharmaceutical, biochemical, industrial, nutritional safety, environmental, academic and governmental customers working in research and development, quality assurance and other laboratory applications. LC is a standard technique and is utilized in a broad range of industries to detect, identify, monitor and measure the chemical, physical and biological composition of materials, and to purify a full range of compounds. MS technology, principally in conjunction with chromatography, is employed in drug discovery and development, including clinical trial testing, the analysis of proteins in disease processes (known as proteomics), nutritional safety analysis and environmental te
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{"example_id": 924, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 924\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nBy its clear language, Article Seventh creates a right for citizen landowners to have some access to the River territory by, for example, the construction of improvements appurtenant to the shore.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_924_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 924, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 924\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nBy its clear language, Article Seventh creates a right for citizen landowners to have some access to the River territory by, for example, the construction of improvements appurtenant to the shore.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_924_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_924_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text analyzes whether a legal article creates a right for landowners to access a river.\",\n \"Text cites Article Seventh and examples like constructing improvements appurtenant to the shore.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text contains explicit grantlanguage like 'creates a right' or 'establishes a privilege'\",\n \"Whether the text describes a specific entitlement versus general descriptive prose\",\n \"Whether the text references a named legal document and its provisions\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'creates a right' clause in property law\",\n \"Test for identifying legal rights in text: look for 'right', 'privilege', 'entitlement', 'grant'\",\n \"Difference between a legal definition and a factual description of a right\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text lacks explicit language about creating a right, e.g., is purely factual or historical\",\n \"Text discusses improvements but does not state any right or privilege for landowners\"\n ],\n \"less_relevant_if\": [\n \"Text includes phrases like 'creates a right' or 'establishes access rights',\n \"Text directly addresses the creation of a legal right by a named article\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text contains clear language stating that an article creates a right for landowners\",\n \"Text uses terms like 'creates a right', 'grants access', or 'establishes a privilege'\"\n ],\n \"less_relevant_if\": [\n \"Text is ambiguous or does not explicitly claim a right,\n \"Text only describes appurtenant improvements without connecting to a right\"\n ]\n }\n ],\n \"missing_information\": [\n \"Full text of Article Seventh to verify the claim\",\n \"Context on what 'definition classification' entails in this specific legal task\"\n ],\n
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{"example_id": 1101, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1101\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSection 1681p’s exception is not involved in this case; the complaint does not allege misrepresentation of information that the FCRA “required] ... to be disclosed to [the plaintiff].”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1101_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1101, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1101\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSection 1681p’s exception is not involved in this case; the complaint does not allege misrepresentation of information that the FCRA “required] ... to be disclosed to [the plaintiff].”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1101_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1101_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Section 1681p's exception is not involved in this case\",\n \"The complaint does not allege misrepresentation of information that the FCRA required to be disclosed to the plaintiff\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text satisfies the implicit definition being tested\",\n \"Whether the absence of certain elements (like misrepresentation) counts as a classification\"\n ],\n \"knowledge_slots\": [\n \"Understanding of the FCRA's disclosure requirements and Section 1681p's exception\",\n \"Concept of classification in legal contexts: binary label assignment based on criteria\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The definition being classified requires the presence of specific elements not mentioned in the text\",\n \"The text's content falls outside the scope of the definition\"\n ],\n \"less_relevant_if\": [\n \"The definition is broadly interpreted to include negative assertions\",\n \"The text directly addresses the exception rather than the definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The definition includes scenarios where certain conditions are not met\",\n \"The text's negation of involvement counts as a positive classification\"\n ],\n \"less_relevant_if\": [\n \"The definition requires affirmative allegations or specific factual elements\",\n \"The text's content is incomplete or avoids the defined topic\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition of the class that the text is supposed to be classified into\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 488, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 488\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn its customary and preferred sense, “fail” connotes some omission, fault, or negligence on the part of the person who has failed to do something. See, e.g., Webster's New International Dictionary 910 (2d ed.1939) (defining “fail” as “to be wanting; to fall short; to be or become deficient in any measure or degree,” and “failure” as “a falling short,” “a deficiency or *432 lack,” and an “[o]mission to perform”); Webster's New International Dictionary 814 (3d ed.1993) (“to leave some possible or expected action unperformed or some condition unachieved”). See also Black's Law Dictionary 594 (6th ed.1990) (defining “fail” as “[f]ault, negligence, or refusal”). To say a person has failed in a duty implies he did not take the necessary steps to fulfill it.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_488_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 488, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 488\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn its customary and preferred sense, “fail” connotes some omission, fault, or negligence on the part of the person who has failed to do something. See, e.g., Webster's New International Dictionary 910 (2d ed.1939) (defining “fail” as “to be wanting; to fall short; to be or become deficient in any measure or degree,” and “failure” as “a falling short,” “a deficiency or *432 lack,” and an “[o]mission to perform”); Webster's New International Dictionary 814 (3d ed.1993) (“to leave some possible or expected action unperformed or some condition unachieved”). See also Black's Law Dictionary 594 (6th ed.1990) (defining “fail” as “[f]ault, negligence, or refusal”). To say a person has failed in a duty implies he did not take the necessary steps to fulfill it.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_488_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_488_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides dictionary definitions of 'fail' from multiple sources\",\n \"Includes phrases like 'connotes some omission, fault, or negligence'\",\n \"Defines 'fail' as 'to be wanting; to fall short; to be deficient'\",\n \"Defining 'failure' as 'a falling short; a deficiency or lack'\",\n \"Defining 'fail' as 'fault, negligence, or refusal'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily states the meaning of a term\",\n \"Whether the text cites authoritative definition sources\",\n \"Whether the text uses descriptive language typical of a definition\",\n \"Whether the text emphasizes connotation over other uses\"\n ],\n \"knowledge_slots\": [\n \"A definition typically explains the meaning, sense, or sense of a word or phrase\",\n \"Legal definition classification relies on whether text captures the core meaning\",\n \"Dictionary definitions often include citations and connotation notes\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text is primarily an application or commentary rather than a definition\",\n \"Text focuses on legal implications instead of the term's meaning\"\n ],\n \"less_relevant_if\": [\n \"Text explicitly states 'connotes' and provides multiple definitional quotes\",\n \"Text self-identifies as 'definition'
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{"example_id": 2056, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2056\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to provide a tax incentive for the installation and maintenance of mechanical insulation property.\nbill_summary: Mechanical Insulation Installation Incentive Act of 2019\n\n This bill allows an additional tax deduction for a portion of the cost of installing mechanical insulation property. The bill limits the amount of such deduction to the lesser of (1) 30% of the cost, or (2) the reduction in energy loss from the installed mechanical insulation property compared to property that meets the minimum requirements of American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) standard 90.1-2007. The bill allows the cost of mechanical insulation property that is placed in service to replace insulation property to be treated as a deductible business expense in the current taxable year.\n\nThe bill defines \"mechanical insulation property\" as insulation materials, facings, and accessory products (1) placed in service in connection with a mechanical system which is located in the United States and of a character subject to an allowance for depreciation; and (2) utilized for thermal requirements for mechanical piping and equipment, hot and cold applications, and heating, venting and air conditioning applications which can be used in a variety of facilities.\n\nThe bill also allows a tax deduction for capital expenditures related to mechanical insulation property.\ncompany_name: AAON, Inc.\ncompany_description: We are engaged in the engineering, manufacturing, marketing and sale of air conditioning and heating equipment consisting of standard, semi-custom and custom rooftop units, chillers, packaged outdoor mechanical rooms, air handling units, makeup air units, energy recovery units, condensing units, geothermal/water-source heat pumps and coils. Our products serve the commercial and industrial new construction and replacement markets. To date, our sales have been primarily to the domestic market. Our rooftop and condensing unit markets primarily consist of units installed on commercial or industrial structures of generally less than ten stories in height. Our air handling units, self-contained units, geothermal/water-source heat pumps, chillers, packaged outdoor mechanical rooms and coils are suitable for all sizes of commercial and industrial buildings. The size of these markets is determined primarily by the number of commercial and industrial building completions. The replacement market consists of products installed to replace existing units/components that are worn or damaged. Currently, over half of the industry's market consists of replacement units. The commercial and industrial new construction market is subject to cyclical
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{"example_id": 2056, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2056\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to provide a tax incentive for the installation and maintenance of mechanical insulation property.\nbill_summary: Mechanical Insulation Installation Incentive Act of 2019\n\n This bill allows an additional tax deduction for a portion of the cost of installing mechanical insulation property. The bill limits the amount of such deduction to the lesser of (1) 30% of the cost, or (2) the reduction in energy loss from the installed mechanical insulation property compared to property that meets the minimum requirements of American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) standard 90.1-2007. The bill allows the cost of mechanical insulation property that is placed in service to replace insulation property to be treated as a deductible business expense in the current taxable year.\n\nThe bill defines \"mechanical insulation property\" as insulation materials, facings, and accessory products (1) placed in service in connection with a mechanical system which is located in the United States and of a character subject to an allowance for depreciation; and (2) utilized for thermal requirements for mechanical piping and equipment, hot and cold applications, and heating, venting and air conditioning applications which can be used in a variety of facilities.\n\nThe bill also allows a tax deduction for capital expenditures related to mechanical insulation property.\ncompany_name: AAON, Inc.\ncompany_description: We are engaged in the engineering, manufacturing, marketing and sale of air conditioning and heating equipment consisting of standard, semi-custom and custom rooftop units, chillers, packaged outdoor mechanical rooms, air handling units, makeup air units, energy recovery units, condensing units, geothermal/water-source heat pumps and coils. Our products serve the commercial and industrial new construction and replacement markets. To date, our sales have been primarily to the domestic market. Our rooftop and condensing unit markets primarily consist of units installed on commercial or industrial structures of generally less than ten stories in height. Our air handling units, self-contained units, geothermal/water-source heat pumps, chillers, packaged outdoor mechanical rooms and coils are suitable for all sizes of commercial and industrial buildings. The size of these markets is determined primarily by the number of commercial and industrial building completions. The replacement market consists of products installed to replace existing units/components that are worn or damaged. Currently, over half of the industry's market consists of replacement units. The commercial and industrial new construction market is subject to cyclical
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{"example_id": 2056, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2056\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to provide a tax incentive for the installation and maintenance of mechanical insulation property.\nbill_summary: Mechanical Insulation Installation Incentive Act of 2019\n\n This bill allows an additional tax deduction for a portion of the cost of installing mechanical insulation property. The bill limits the amount of such deduction to the lesser of (1) 30% of the cost, or (2) the reduction in energy loss from the installed mechanical insulation property compared to property that meets the minimum requirements of American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) standard 90.1-2007. The bill allows the cost of mechanical insulation property that is placed in service to replace insulation property to be treated as a deductible business expense in the current taxable year.\n\nThe bill defines \"mechanical insulation property\" as insulation materials, facings, and accessory products (1) placed in service in connection with a mechanical system which is located in the United States and of a character subject to an allowance for depreciation; and (2) utilized for thermal requirements for mechanical piping and equipment, hot and cold applications, and heating, venting and air conditioning applications which can be used in a variety of facilities.\n\nThe bill also allows a tax deduction for capital expenditures related to mechanical insulation property.\ncompany_name: AAON, Inc.\ncompany_description: We are engaged in the engineering, manufacturing, marketing and sale of air conditioning and heating equipment consisting of standard, semi-custom and custom rooftop units, chillers, packaged outdoor mechanical rooms, air handling units, makeup air units, energy recovery units, condensing units, geothermal/water-source heat pumps and coils. Our products serve the commercial and industrial new construction and replacement markets. To date, our sales have been primarily to the domestic market. Our rooftop and condensing unit markets primarily consist of units installed on commercial or industrial structures of generally less than ten stories in height. Our air handling units, self-contained units, geothermal/water-source heat pumps, chillers, packaged outdoor mechanical rooms and coils are suitable for all sizes of commercial and industrial buildings. The size of these markets is determined primarily by the number of commercial and industrial building completions. The replacement market consists of products installed to replace existing units/components that are worn or damaged. Currently, over half of the industry's market consists of replacement units. The commercial and industrial new construction market is subject to cyclical
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{"example_id": 803, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 803\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs noted earlier we read both counts of petitioner’s complaint to allege discrimination based on race in violation of petitioner’s equal protection rights.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_803_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 803, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 803\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs noted earlier we read both counts of petitioner’s complaint to allege discrimination based on race in violation of petitioner’s equal protection rights.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_803_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_803_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition Classification Rule: A text should be classified as 'Yes' if it contains a definition of a term or concept, and 'No' otherwise.\", \"source\": \"LegalBench definition_classification task\"}\n ],\n \"elements\": [\n {\"element\": \"The text defines a term or concept.\", \"satisfied\": \"no\", \"evidence\": \"The text states 'as noted earlier we read both counts of petitioner’s complaint to allege discrimination based on race in violation of petitioner’s equal protection rights.' It does not provide a definition of a term; it describes a legal interpretation.\"}\n ],\n \"conclusion_logic\": \"If the element 'The text defines a term or concept' is satisfied, then the classification corresponds to the positive label; if not satisfied, then the classification corresponds to the negative label.\",\n \"uncertainty_notes\": [\"The task description is interpreted as asking whether the text is a definition. It is unclear if the task intends a different definition, but no additional context is provided.\"],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_803_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 803, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 803\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs noted earlier we read both counts of petitioner’s complaint to allege discrimination based on race in violation of petitioner’s equal protection rights.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_803_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_803_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition Classification Rule: A text should be classified as 'Yes' if it contains a definition of a term or concept, and 'No' otherwise.\", \"source\": \"LegalBench definition_classification task\"}\n ],\n \"elements\": [\n {\"element\": \"The text defines a term or concept.\", \"satisfied\": \"no\", \"evidence\": \"The text states 'as noted earlier we read both counts of petitioner’s complaint to allege discrimination based on race in violation of petitioner’s equal protection rights.' It does not provide a definition of a term; it describes a legal interpretation.\"}\n ],\n \"conclusion_logic\": \"If the element 'The text defines a term or concept' is satisfied, then the classification corresponds to the positive label; if not satisfied, then the classification corresponds to the negative label.\",\n \"uncertainty_notes\": [\"The task description is interpreted as asking whether the text is a definition. It is unclear if the task intends a different definition, but no additional context is provided.\"],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_803_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_803_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text reads complaint alleging discrimination based on race violating equal protection rights\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text aligns with the legal definition being tested\",\n \"Presence of key elements: discrimination, race, equal protection rights\"\n ],\n \"knowledge_slots\": [\n \"The specific legal definition or concept being classified (not provided)\",\n \"Criteria for assigning 'Yes' vs 'No' in this classification task\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not satisfy the defining characteristics of the concept\",\n \"Allegations are outside scope or missi
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{"example_id": 439, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 439\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFor example, it is unclear why a physician's nonbinding commitment to prescribe a drug in an appropriate case cannot qualify as a sale under this test. The broad term “transaction” easily encompasses such a commitment. See Webster's Third New International Dictionary 2425 (2002) (hereinafter Webster's Third) (defining “transaction” to mean “a communicative action or activity involving two parties or two things reciprocally affecting or influencing each other”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_439_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 439, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 439\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFor example, it is unclear why a physician's nonbinding commitment to prescribe a drug in an appropriate case cannot qualify as a sale under this test. The broad term “transaction” easily encompasses such a commitment. See Webster's Third New International Dictionary 2425 (2002) (hereinafter Webster's Third) (defining “transaction” to mean “a communicative action or activity involving two parties or two things reciprocally affecting or influencing each other”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_439_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_439_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses whether a physician's nonbinding commitment to prescribe can qualify as a sale under a test\",\n \"Text references the definition of 'transaction' from a dictionary\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text supports or questions the idea that the commitment qualifies as a sale\",\n \"The overall argumentative direction of the text regarding the definition classification\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'transaction' from Webster's Third\",\n \"Doctrine or test being applied to classify the commitment\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text expresses doubt or disagreement with qualifying the commitment as a sale\",\n \"The text focuses on why the commitment cannot be a sale under the test\"\n ],\n \"less_relevant_if\": [\n \"The text provides reasoning that leans towards accepting the commitment as a sale\",\n \"The text emphasizes the broad term 'transaction' encompassing such a commitment\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text argues that the commitment can be considered a transaction under the given definition\",\n \"The text uses the dictionary definition to support the classification as a sale\"\n ],\n \"less_relevant_if\": [\n \"The text primarily raises uncertainty or contradiction about the classification\",\n \"The text questions the applicability of the test to the commitment\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific legal test or definition being applied in the classification\",\n \"Whether t
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{"example_id": 1957, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1957\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to establish a new tax credit and grant program to stimulate investment and healthy nutrition options in food deserts, and for other purposes.\nbill_summary: Healthy Food Access for All Americans Act \n\nThis bill allows tax credits and grants for activities that provide access to healthy food in food deserts, which are communities that have limited or no access to grocery stores and meet income requirements.\n\nFor entities that are certified by the Department of the Treasury as special access food providers using specified criteria, the bill allows tax credits for operating a new grocery store or renovating an existing grocery store in a food desert. The bill also authorizes grants for a portion of (1) the construction costs of building a permanent food bank in a food desert, and (2) the annual operating costs of temporary access merchants (mobile markets, farmers markets, and food banks).\n\nTreasury, in coordination with the Department of Agriculture (USDA), must annually allocate the tax credits and grants to special access food providers. Grants authorized by this bill are not considered gross income for tax purposes.\n\nThe bill also requires USDA to update the Food Access Research Atlas at least annually to account for food retailers that are placed in service during that year.\ncompany_name: Dollar Tree, Inc.\ncompany_description: We are a leading operator of discount variety stores. At February 3, 2018, we operated 14,835 discount variety retail stores. Our stores operate under the names of Dollar Tree, Family Dollar and Dollar Tree Canada. This transformational transaction created the largest discount retailer (by store count) in North America. Everything is $1.00 at Dollar Tree while Family Dollar is a neighborhood variety store offering merchandise largely for $10.00 or less. Also, on October 13, 2015, we announced our plans to convert all Deals and Dollar Tree Deals stores to one of our two primary banners, Dollar Tree or Family Dollar. On November 1, 2015, we completed the transaction pursuant to which we divested 330 Family Dollar stores, 325 of which were open at the time of the divestiture, to Dollar Express LLC (\"Dollar Express\"), a portfolio company of Sycamore Partners, in order to satisfy a condition as required by the Federal Trade Commission in connection with our purchase of Family Dollar. Our Dollar Tree segment is the leading operator of discount variety stores offering merchandise at the fixed price point of $1.00. The Dollar Tree segment includes 6,650 stores operating under the Dollar Tree and Dollar Tree Canada brands, 11 distribution centers in the United States and two in Canada and a Store Support Center in Chesapeak
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{"example_id": 1957, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1957\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to establish a new tax credit and grant program to stimulate investment and healthy nutrition options in food deserts, and for other purposes.\nbill_summary: Healthy Food Access for All Americans Act \n\nThis bill allows tax credits and grants for activities that provide access to healthy food in food deserts, which are communities that have limited or no access to grocery stores and meet income requirements.\n\nFor entities that are certified by the Department of the Treasury as special access food providers using specified criteria, the bill allows tax credits for operating a new grocery store or renovating an existing grocery store in a food desert. The bill also authorizes grants for a portion of (1) the construction costs of building a permanent food bank in a food desert, and (2) the annual operating costs of temporary access merchants (mobile markets, farmers markets, and food banks).\n\nTreasury, in coordination with the Department of Agriculture (USDA), must annually allocate the tax credits and grants to special access food providers. Grants authorized by this bill are not considered gross income for tax purposes.\n\nThe bill also requires USDA to update the Food Access Research Atlas at least annually to account for food retailers that are placed in service during that year.\ncompany_name: Dollar Tree, Inc.\ncompany_description: We are a leading operator of discount variety stores. At February 3, 2018, we operated 14,835 discount variety retail stores. Our stores operate under the names of Dollar Tree, Family Dollar and Dollar Tree Canada. This transformational transaction created the largest discount retailer (by store count) in North America. Everything is $1.00 at Dollar Tree while Family Dollar is a neighborhood variety store offering merchandise largely for $10.00 or less. Also, on October 13, 2015, we announced our plans to convert all Deals and Dollar Tree Deals stores to one of our two primary banners, Dollar Tree or Family Dollar. On November 1, 2015, we completed the transaction pursuant to which we divested 330 Family Dollar stores, 325 of which were open at the time of the divestiture, to Dollar Express LLC (\"Dollar Express\"), a portfolio company of Sycamore Partners, in order to satisfy a condition as required by the Federal Trade Commission in connection with our purchase of Family Dollar. Our Dollar Tree segment is the leading operator of discount variety stores offering merchandise at the fixed price point of $1.00. The Dollar Tree segment includes 6,650 stores operating under the Dollar Tree and Dollar Tree Canada brands, 11 distribution centers in the United States and two in Canada and a Store Support Center in Chesapeak
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{"example_id": 1677, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1677\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 198\nParagraph: Buzzard and Martin argue that Dawson's question violated their Fourth Amendment rights because (1) it wasn't related to the traffic stop's mission, and (2) it unlawfully prolonged the stop. We take each argument in turn.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1677_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1677, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1677\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 198\nParagraph: Buzzard and Martin argue that Dawson's question violated their Fourth Amendment rights because (1) it wasn't related to the traffic stop's mission, and (2) it unlawfully prolonged the stop. We take each argument in turn.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1677_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1677_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Dawson's question is argued to violate Fourth Amendment rights\",\n \"Argument based on lack of relation to traffic stop mission\",\n \"Argument based on unlawful prolongation of stop\"\n ],\n \"task_type\": \"legal_document_section_classification\",\n \"decision_factors\": [\n \"Text presents reasoning rather than a binding order\",\n \"Text does not state a final holding\",\n \"Text does not recite factual background\",\n \"Text does not state a legal rule abstractly\",\n \"Text does not describe procedural history or prior rulings\"\n ],\n \"knowledge_slots\": [\n \"Legal opinions: Analysis section discusses and resolves arguments\",\n \"Analysis section often follows Issue and precedes Conclusion\",\n \"Conclusion section states the court's final decision\",\n \"Decree section typically includes specific orders or injunctions\",\n \"Facts section recounts events without legal argument\",\n \"Issue section frames the legal question to be answered\",\n \"Procedural History section describes lower court actions\",\n \"Rule section states abstract legal principles without application\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text engages in reasoning, weighing arguments, and applying law\",\n \"Text takes arguments in turn and provides reasoned discussion\"\n ],\n \"less_relevant_if\": [\n \"Text states a final decision or order\",\n \"Text merely recites facts or procedural events\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text explicitly states the court's final decision or outcome\",\n \"Text uses phrases like 'we hold' or 'it is hereby ordered'\"\n ],\n \"less_relevant_if\": [\n \"Text i
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{"example_id": 723, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 723\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIran accuses the United States of breaking its promise, made in the Algiers Accords, to “arrange ... for the transfer to Iran of all Iranian properties” located in the United States on January 19, 1981.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_723_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 723, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 723\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIran accuses the United States of breaking its promise, made in the Algiers Accords, to “arrange ... for the transfer to Iran of all Iranian properties” located in the United States on January 19, 1981.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_723_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_723_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Iran accuses the United States of breaking its promise.\",\n \"The promise was made in the Algiers Accords.\",\n \"The promise was to arrange for the transfer to Iran of all Iranian properties located in the United States.\",\n \"The transfer was promised for January 19, 1981.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria that the text is being classified against (i.e., what constitutes a definition).\"\n ],\n \"context_summary\": \"A statement from Iran accusing the US of breaking a promise in the Algiers Accords to transfer all Iranian properties in the US to Iran by January 19, 1981.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_723_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 723, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 723\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIran accuses the United States of breaking its promise, made in the Algiers Accords, to “arrange ... for the transfer to Iran of all Iranian properties” located in the United States on January 19, 1981.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_723_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_723_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Iran accuses the United States of breaking its promise.\",\n \"The promise was made in the Algiers Accords.\",\n \"The promise was to arrange for the transfer to Iran of all Iranian properties located in the United States.\",\n \"The transfer was promised for January 19, 1981.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria that the text is being classified against (i.e., what constitutes a definition).\"\n ],\n \"context_summary\": \"A statement from Iran accusing the US of breaking a promise in the Algiers Accords to transfer all Iranian properties in the US to Iran by January 19, 1981.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_723_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_723_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Iran accuses the US of breaking a promise from the Algiers Accords\",\n \"Promise was to arrange transfer of Iranian properties in the US\",\n \"Accusation made on January 19, 1981\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text states or implies a definition\",\n \"Whether the text describes a term's meaning\",\n \"Whether the text is a factual claim about a definition\"\n ],\n \"knowledge_slots\": [\n \"A definition typically explains the meaning of a term or concept\",\n \"Legal definitions specify rights or obligations\",\n \"Classification tasks assess if text matches a given category\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is a factual assertion, not a definition\",\n \"The text describes an accusation, not a definitional statement\"\n ],\n \"less_relevant_if\": [\n \"The text could be considered as defining a legal dispute\"\n ]\n },\n {\n \"choice_key\": \"B\",\n
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{"example_id": 134, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 134\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n[Thus, Black's Law Dictionary] defines “dismissal without prejudice” as “[a] dismissal that *506 does not bar the plaintiff from refiling the lawsuit within the applicable limitations period,” ibid.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_134_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 134, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 134\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n[Thus, Black's Law Dictionary] defines “dismissal without prejudice” as “[a] dismissal that *506 does not bar the plaintiff from refiling the lawsuit within the applicable limitations period,” ibid.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_134_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_134_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification criterion: a text is classified as a definition if it explicitly states the meaning of a legal term.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text identifies a specific legal term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text refers to 'dismissal without prejudice' and provides its definition from Black's Law Dictionary.\"\n },\n {\n \"element\": \"Text states the meaning or definition of the term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text quotes the definition from Black's Law Dictionary: 'a dismissal that does not bar the plaintiff from refiling...'\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a legal term and states its meaning (e.g., by quoting a dictionary definition), then it satisfies the definition classification condition, leading to one category; otherwise it leads to the other category.\",\n \"uncertainty_notes\": [\n \"The exact threshold for what constitutes a definition in the classification task is not specified; the presence of a direct definition quote strongly indicates a definition.\"\n ],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_134_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 134, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 134\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n[Thus, Black's Law Dictionary] defines “dismissal without prejudice” as “[a] dismissal that *506 does not bar the plaintiff from refiling the lawsuit within the applicable limitations period,” ibid.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_134_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_134_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification criterion: a text is classified as a definition if it explicitly states the meaning of a legal term.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text identifies a specific legal term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text refers to 'dismissal without prejudice' and provides its definition from Black's Law Dictionary.\"\n },\n {\n \"element\": \"Text states the meaning or definition of the term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text quotes the definition from Black's Law Dictionary: 'a dismissal that does not bar the plaintiff from refiling...'\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a legal term and states its meaning (e.g., by quoting a dictionary definition), then it satisfies the definition classification condition, leading to one category; otherwise it leads to the other category.\",\n \"uncertainty_notes\": [\n \"The exact threshold for what constitutes a definition in the classification task is not specified; the presence of a direct definition quote strongly indicates a definition.\"\n ],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_134_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_134_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text includes 'defines “dismissal without prejudice” as',\n \"Text cites Black's Law Dictionary\",\n \"Text explains meaning of a legal term\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states the meaning of a term\",\n \"Whether the text attributes the definition to a authoritative source\",\n \"Whether the text uses defining language such as 'defines ... as'\"\n ],\n \"knowledge_slots\": [\n \"Definition
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{"example_id": 2189, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2189\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Internal Revenue Code of 1986 to provide for lifelong learning accounts, and for other purposes.\nbill_summary: Skills Investment Act of 2019\n\nThis bill expands tax-favored Coverdell education savings accounts to allow the accounts to be used for educational or skill development expenses such as training services, career and technical education activities, career services, youth workforce investment activities, and adult education and literacy activities.\n\nThe bill also\n\n renames the accounts \"Coverdell lifelong learning accounts,\" increases contribution limits, modifies the age-based contribution restrictions, allows a tax credit for a portion of an employer's contributions to an employee's account, and allows beneficiaries to deduct contributions made by or on behalf of the beneficiary.\ncompany_name: HCP, Inc.\ncompany_description: Business General Overview HCP, an S & P 500 company, invests primarily in real estate serving the healthcare industry in the United States (\"U.S.\"). We are a Maryland corporation organized in 1985 and qualify as a self-administered real estate investment trust (\"REIT\"). Our diverse portfolio is comprised of investments in the following reportable healthcare segments: (i) senior housing triple-net, (ii) senior housing operating portfolio (\"SHOP\"), (iii) life science and (iv) medical office. The Spin-Off included 338 properties, primarily comprised of the HCR ManorCare, direct financing lease (\"DFL\") investments and an equity investment in HCRMC. QCP is an independent, publicly-traded, self-managed and self-administrated REIT. We invest and manage our real estate portfolio for the long-term to maximize the benefit to our stockholders and support the growth of our dividends. The core elements of our strategy are: (i) to acquire, develop, lease, own and manage a diversified portfolio of quality healthcare properties across multiple geographic locations and business segments including senior housing, medical office, and life science, among others; (ii) to align ourselves with leading healthcare companies, operators and service providers which, over the long-term, should result in higher relative rental rates, net operating cash flows and appreciation of property values; and (iii) to maintain an investment grade balance sheet with adequate liquidity and long-term fixed rate debt financing with staggered maturities, which supports the longer-term nature of our investments, while reducing our exposure to interest rate volatility and refinancing risk at any point in the interest rate or credit cycles. Our strategy for maximizing the benefits from these opportunities is to: (i) work with new or existing tenants and operators to address the
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{"example_id": 2189, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2189\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Internal Revenue Code of 1986 to provide for lifelong learning accounts, and for other purposes.\nbill_summary: Skills Investment Act of 2019\n\nThis bill expands tax-favored Coverdell education savings accounts to allow the accounts to be used for educational or skill development expenses such as training services, career and technical education activities, career services, youth workforce investment activities, and adult education and literacy activities.\n\nThe bill also\n\n renames the accounts \"Coverdell lifelong learning accounts,\" increases contribution limits, modifies the age-based contribution restrictions, allows a tax credit for a portion of an employer's contributions to an employee's account, and allows beneficiaries to deduct contributions made by or on behalf of the beneficiary.\ncompany_name: HCP, Inc.\ncompany_description: Business General Overview HCP, an S & P 500 company, invests primarily in real estate serving the healthcare industry in the United States (\"U.S.\"). We are a Maryland corporation organized in 1985 and qualify as a self-administered real estate investment trust (\"REIT\"). Our diverse portfolio is comprised of investments in the following reportable healthcare segments: (i) senior housing triple-net, (ii) senior housing operating portfolio (\"SHOP\"), (iii) life science and (iv) medical office. The Spin-Off included 338 properties, primarily comprised of the HCR ManorCare, direct financing lease (\"DFL\") investments and an equity investment in HCRMC. QCP is an independent, publicly-traded, self-managed and self-administrated REIT. We invest and manage our real estate portfolio for the long-term to maximize the benefit to our stockholders and support the growth of our dividends. The core elements of our strategy are: (i) to acquire, develop, lease, own and manage a diversified portfolio of quality healthcare properties across multiple geographic locations and business segments including senior housing, medical office, and life science, among others; (ii) to align ourselves with leading healthcare companies, operators and service providers which, over the long-term, should result in higher relative rental rates, net operating cash flows and appreciation of property values; and (iii) to maintain an investment grade balance sheet with adequate liquidity and long-term fixed rate debt financing with staggered maturities, which supports the longer-term nature of our investments, while reducing our exposure to interest rate volatility and refinancing risk at any point in the interest rate or credit cycles. Our strategy for maximizing the benefits from these opportunities is to: (i) work with new or existing tenants and operators to address the
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{"example_id": 2380, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2380\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To reauthorize certain provisions of the Public Health Service Act relating to autism, and for other purposes.\nbill_summary: Autism Collaboration, Accountability, Research, Education, and Support Act of 2019 or the Autism CARES Act of 2019\n\nThis bill reauthorizes through FY2024 and revises several programs and activities relating to autism spectrum disorder (ASD). Specifically, the bill reauthorizes provisions relating to (1) expanded ASD research at the National Institutes of Health; (2) the collection of state-level ASD data by the Centers for Disease Control and Prevention; (3) ASD education, early detection, and intervention activities supported by the Health Resources and Services Administration; and (4) the Interagency Autism Coordinating Committee.\n\nThe bill also generally revises the scope of such programs and activities to (1) encompass ASD individuals of all ages, rather than only youth; (2) focus funding on programs in areas with a shortage of personal health services; and (3) reduce health-outcome disparities across diverse populations.\ncompany_name: LHC Group, Inc.\ncompany_description: our participation in the Medicare and Medicaid programs; the reimbursement levels of Medicare and other third-party payors; • the prompt receipt of payments from Medicare and other third-party payors; • the outcomes of various routine and non-routine governmental reviews, audits, and investigations; • our compliance with environmental, health and safety laws and regulations; • our compliance with health care laws and regulations; • our compliance with Securities and Exchange Commission laws and regulations and Sarbanes-Oxley requirements; • the impact of federal and state government regulation on our business; We provide post-acute health care services to patients through our home nursing agencies, hospice agencies, home and community-based services agencies, long-term acute care hospitals (\"LTACHs\") and healthcare innovations services. As of December 31, 2018, through our wholly- and majority-owned subsidiaries, equity joint ventures and controlled affiliates, we operated 757 service providers in 36 states within the continental United States. We provide services through five segments: (1) home health, (2) hospice, (3) home and community-based (4) facility-based, and (5) healthcare innovations. Our home health service locations offer a wide range of services, including skilled nursing, medically-oriented social services and physical, occupational, and speech therapy. The nurses, home health aides, and therapists in our home health agencies work closely with patients and their families to design and implement individualized treatment plans in accordance with a physician-pres
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{"example_id": 2380, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2380\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To reauthorize certain provisions of the Public Health Service Act relating to autism, and for other purposes.\nbill_summary: Autism Collaboration, Accountability, Research, Education, and Support Act of 2019 or the Autism CARES Act of 2019\n\nThis bill reauthorizes through FY2024 and revises several programs and activities relating to autism spectrum disorder (ASD). Specifically, the bill reauthorizes provisions relating to (1) expanded ASD research at the National Institutes of Health; (2) the collection of state-level ASD data by the Centers for Disease Control and Prevention; (3) ASD education, early detection, and intervention activities supported by the Health Resources and Services Administration; and (4) the Interagency Autism Coordinating Committee.\n\nThe bill also generally revises the scope of such programs and activities to (1) encompass ASD individuals of all ages, rather than only youth; (2) focus funding on programs in areas with a shortage of personal health services; and (3) reduce health-outcome disparities across diverse populations.\ncompany_name: LHC Group, Inc.\ncompany_description: our participation in the Medicare and Medicaid programs; the reimbursement levels of Medicare and other third-party payors; • the prompt receipt of payments from Medicare and other third-party payors; • the outcomes of various routine and non-routine governmental reviews, audits, and investigations; • our compliance with environmental, health and safety laws and regulations; • our compliance with health care laws and regulations; • our compliance with Securities and Exchange Commission laws and regulations and Sarbanes-Oxley requirements; • the impact of federal and state government regulation on our business; We provide post-acute health care services to patients through our home nursing agencies, hospice agencies, home and community-based services agencies, long-term acute care hospitals (\"LTACHs\") and healthcare innovations services. As of December 31, 2018, through our wholly- and majority-owned subsidiaries, equity joint ventures and controlled affiliates, we operated 757 service providers in 36 states within the continental United States. We provide services through five segments: (1) home health, (2) hospice, (3) home and community-based (4) facility-based, and (5) healthcare innovations. Our home health service locations offer a wide range of services, including skilled nursing, medically-oriented social services and physical, occupational, and speech therapy. The nurses, home health aides, and therapists in our home health agencies work closely with patients and their families to design and implement individualized treatment plans in accordance with a physician-pres
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{"example_id": 2403, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2403\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To regulate assault weapons, to ensure that the right to keep and bear arms is not unlimited, and for other purposes.\nbill_summary: Assault Weapons Ban of 2019\n\nThis bill makes it a crime to knowingly import, sell, manufacture, transfer, or possess a semiautomatic assault weapon (SAW) or large capacity ammunition feeding device (LCAFD).\n\nThe prohibition does not apply to a firearm that is (1) manually operated by bolt, pump, lever, or slide action; (2) permanently inoperable; (3) an antique; or (4) a rifle or shotgun specifically identified by make and model.\n\nThe bill also exempts from the prohibition the following, with respect to a SAW or LCAFD:\n\n importation, sale, manufacture, transfer, or possession related to certain law enforcement efforts, or authorized tests or experiments; importation, sale, transfer, or possession related to securing nuclear materials; and possession by a retired law enforcement officer. The bill permits continued possession, sale, or transfer of a grandfathered SAW, which must be securely stored. A licensed gun dealer must conduct a background check prior to the sale or transfer of a grandfathered SAW between private parties.\n\nThe bill permits continued possession of, but prohibits sale or transfer of, a grandfathered LCAFD.\n\nNewly manufactured LCAFDs must display serial number identification. Newly manufactured SAWs and LCAFDs must display the date of manufacture.\n\nThe bill requires law enforcement agencies to be notified when a prohibited person attempts to purchase a grandfathered SAW.\n\nIt also allows a state or local government to use Edward Byrne Memorial Justice Assistance Grant Program funds to compensate individuals who surrender a SAW or LCAFD under a buy-back program.\ncompany_name: Sturm, Ruger & Co., Inc.\ncompany_description: Overview Sturm, Ruger & Company, Inc. and Subsidiary (the \"Company\") is principally engaged in the design, manufacture, and sale of firearms to domestic customers. The Company's design and manufacturing operations are located in the United States and almost all product content is domestic. The Company primarily offers products in three industry product categories – rifles, pistols, and revolvers. The Company's firearms are sold through independent wholesale distributors, principally to the commercial sporting market. The Company manufactures and sells investment castings made from steel alloys and metal injection molding (\"MIM\") parts for internal use in the firearms segment and has minimal sales to outside customers. The Company presently manufactures firearm products, under the \"Ruger\" name and trademark, in the following industry categories: Rifles Most firearms are available in several models based up
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{"example_id": 2403, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2403\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To regulate assault weapons, to ensure that the right to keep and bear arms is not unlimited, and for other purposes.\nbill_summary: Assault Weapons Ban of 2019\n\nThis bill makes it a crime to knowingly import, sell, manufacture, transfer, or possess a semiautomatic assault weapon (SAW) or large capacity ammunition feeding device (LCAFD).\n\nThe prohibition does not apply to a firearm that is (1) manually operated by bolt, pump, lever, or slide action; (2) permanently inoperable; (3) an antique; or (4) a rifle or shotgun specifically identified by make and model.\n\nThe bill also exempts from the prohibition the following, with respect to a SAW or LCAFD:\n\n importation, sale, manufacture, transfer, or possession related to certain law enforcement efforts, or authorized tests or experiments; importation, sale, transfer, or possession related to securing nuclear materials; and possession by a retired law enforcement officer. The bill permits continued possession, sale, or transfer of a grandfathered SAW, which must be securely stored. A licensed gun dealer must conduct a background check prior to the sale or transfer of a grandfathered SAW between private parties.\n\nThe bill permits continued possession of, but prohibits sale or transfer of, a grandfathered LCAFD.\n\nNewly manufactured LCAFDs must display serial number identification. Newly manufactured SAWs and LCAFDs must display the date of manufacture.\n\nThe bill requires law enforcement agencies to be notified when a prohibited person attempts to purchase a grandfathered SAW.\n\nIt also allows a state or local government to use Edward Byrne Memorial Justice Assistance Grant Program funds to compensate individuals who surrender a SAW or LCAFD under a buy-back program.\ncompany_name: Sturm, Ruger & Co., Inc.\ncompany_description: Overview Sturm, Ruger & Company, Inc. and Subsidiary (the \"Company\") is principally engaged in the design, manufacture, and sale of firearms to domestic customers. The Company's design and manufacturing operations are located in the United States and almost all product content is domestic. The Company primarily offers products in three industry product categories – rifles, pistols, and revolvers. The Company's firearms are sold through independent wholesale distributors, principally to the commercial sporting market. The Company manufactures and sells investment castings made from steel alloys and metal injection molding (\"MIM\") parts for internal use in the firearms segment and has minimal sales to outside customers. The Company presently manufactures firearm products, under the \"Ruger\" name and trademark, in the following industry categories: Rifles Most firearms are available in several models based up
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{"example_id": 2813, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2813\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Who Can Use Instagram. We want our Service to be as open and inclusive as possible, but we also want it to be safe, secure, and in accordance with the law. So, we need you to commit to a few restrictions in order to be part of the Instagram community.\nYou must be at least 13 years old or the minimum legal age in your country to use Instagram.\nYou must not be prohibited from receiving any aspect of our Service under applicable laws or engaging in payments related Services if you are on an applicable denied party listing.\nWe must not have previously disabled your account for violation of law or any of our policies.\nYou must not be a convicted sex offender.\n\nHow You Can't Use Instagram. Providing a safe and open Service for a broad community requires that we all do our part.\nYou can't impersonate others or provide inaccurate information.\nYou don't have to disclose your identity on Instagram, but you must provide us with accurate and up to date information (including registration information). Also, you may not impersonate someone you aren't, and you can't create an account for someone else unless you have their express permission.\nYou can't do anything unlawful, misleading, or fraudulent or for an illegal or unauthorized purpose.\nYou can't violate (or help or encourage others to violate) these Terms or our policies, including in particular the Instagram Community Guidelines, Instagram Platform Policy, and Music Guidelines. Learn how to report conduct or content in our Help Center.\nYou can't do anything to interfere with or impair the intended operation of the Service.\nYou can't attempt to create accounts or access or collect information in unauthorized ways.\nThis includes creating accounts or collecting information in an automated way without our express permission.\nYou can't attempt to buy, sell, or transfer any aspect of your account (including your username) or solicit, collect, or use login credentials or badges of other users.\nYou can't post private or confidential information or do anything that violates someone else's rights, including intellectual property.\nLearn more, including how to report content that you think infringes your intellectual property rights, here.\nYou can't use a domain name or URL in your username without our prior written consent.\nquestion: Am I allowed to sell my Instagram account to an entertainment company?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2813_1", "type": "function", "function": {
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{"example_id": 2813, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2813\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Who Can Use Instagram. We want our Service to be as open and inclusive as possible, but we also want it to be safe, secure, and in accordance with the law. So, we need you to commit to a few restrictions in order to be part of the Instagram community.\nYou must be at least 13 years old or the minimum legal age in your country to use Instagram.\nYou must not be prohibited from receiving any aspect of our Service under applicable laws or engaging in payments related Services if you are on an applicable denied party listing.\nWe must not have previously disabled your account for violation of law or any of our policies.\nYou must not be a convicted sex offender.\n\nHow You Can't Use Instagram. Providing a safe and open Service for a broad community requires that we all do our part.\nYou can't impersonate others or provide inaccurate information.\nYou don't have to disclose your identity on Instagram, but you must provide us with accurate and up to date information (including registration information). Also, you may not impersonate someone you aren't, and you can't create an account for someone else unless you have their express permission.\nYou can't do anything unlawful, misleading, or fraudulent or for an illegal or unauthorized purpose.\nYou can't violate (or help or encourage others to violate) these Terms or our policies, including in particular the Instagram Community Guidelines, Instagram Platform Policy, and Music Guidelines. Learn how to report conduct or content in our Help Center.\nYou can't do anything to interfere with or impair the intended operation of the Service.\nYou can't attempt to create accounts or access or collect information in unauthorized ways.\nThis includes creating accounts or collecting information in an automated way without our express permission.\nYou can't attempt to buy, sell, or transfer any aspect of your account (including your username) or solicit, collect, or use login credentials or badges of other users.\nYou can't post private or confidential information or do anything that violates someone else's rights, including intellectual property.\nLearn more, including how to report content that you think infringes your intellectual property rights, here.\nYou can't use a domain name or URL in your username without our prior written consent.\nquestion: Am I allowed to sell my Instagram account to an entertainment company?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2813_1", "type": "function", "function": {"name": "extra
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{"example_id": 2813, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2813\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Who Can Use Instagram. We want our Service to be as open and inclusive as possible, but we also want it to be safe, secure, and in accordance with the law. So, we need you to commit to a few restrictions in order to be part of the Instagram community.\nYou must be at least 13 years old or the minimum legal age in your country to use Instagram.\nYou must not be prohibited from receiving any aspect of our Service under applicable laws or engaging in payments related Services if you are on an applicable denied party listing.\nWe must not have previously disabled your account for violation of law or any of our policies.\nYou must not be a convicted sex offender.\n\nHow You Can't Use Instagram. Providing a safe and open Service for a broad community requires that we all do our part.\nYou can't impersonate others or provide inaccurate information.\nYou don't have to disclose your identity on Instagram, but you must provide us with accurate and up to date information (including registration information). Also, you may not impersonate someone you aren't, and you can't create an account for someone else unless you have their express permission.\nYou can't do anything unlawful, misleading, or fraudulent or for an illegal or unauthorized purpose.\nYou can't violate (or help or encourage others to violate) these Terms or our policies, including in particular the Instagram Community Guidelines, Instagram Platform Policy, and Music Guidelines. Learn how to report conduct or content in our Help Center.\nYou can't do anything to interfere with or impair the intended operation of the Service.\nYou can't attempt to create accounts or access or collect information in unauthorized ways.\nThis includes creating accounts or collecting information in an automated way without our express permission.\nYou can't attempt to buy, sell, or transfer any aspect of your account (including your username) or solicit, collect, or use login credentials or badges of other users.\nYou can't post private or confidential information or do anything that violates someone else's rights, including intellectual property.\nLearn more, including how to report content that you think infringes your intellectual property rights, here.\nYou can't use a domain name or URL in your username without our prior written consent.\nquestion: Am I allowed to sell my Instagram account to an entertainment company?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2813_1", "type": "function", "function": {"name": "extra
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{"example_id": 1868, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1868\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal of the Assessment no. 1417166 dated September 1, 2011 pursuant to section 160 of the Income Tax Act in respect to the transfer of property to the Appellant is dismissed.\nCosts are awarded to the Respondent.\nSigned at Ottawa, Canada, this 4th day of November 2015.\nV.A. Miller\nV.A. Miller J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1868_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1868, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1868\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal of the Assessment no. 1417166 dated September 1, 2011 pursuant to section 160 of the Income Tax Act in respect to the transfer of property to the Appellant is dismissed.\nCosts are awarded to the Respondent.\nSigned at Ottawa, Canada, this 4th day of November 2015.\nV.A. Miller\nV.A. Miller J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1868_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1868_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Appeal outcome classification rule: The operative language in the court's decision statement (e.g., 'allowed', 'dismissed') determines the outcome category.\",\n \"source\": \"LegalBench task guidelines for canada_tax_court_outcomes\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text contains language indicating the appeal is dismissed.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'The appeal ... is dismissed.'\"\n },\n {\n \"element\": \"The text contains language indicating the appeal is allowed.\",\n \"satisfied\": \"no\",\n \"evidence\": \"No form of 'allowed' appears in the text.\"\n }\n ],\n \"conclusion_logic\": \"IF the text includes the word 'dismissed' THEN the outcome is dismissed; ELSE IF it includes 'allowed' THEN the outcome is allowed; OTHERWISE the outcome is other.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1868_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1868, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1868\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal of the Assessment no. 1417166 dated September 1, 2011 pursuant to section 160 of the Income Tax Act in respect to the transfer of property to the Appellant is dismissed.\nCosts are awarded to the Respondent.\nSigned at Ottawa, Canada, this 4th day of November 2015.\nV.A. Miller\nV.A. Miller J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1868_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1868_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Appeal outcome classification rule: The operative language in the court's decision statement (e.g., 'allowed', 'dismissed') determines the outcome category.\",\n \"source\": \"LegalBench task guidelines for canada_tax_court_outcomes\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text contains language indicating the appeal is dismissed.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'The appeal ... is dismissed.'\"\n },\n {\n \"element\": \"The text contains language indicating the appeal is allowed.\",\n \"satisfied\": \"no\",\n \"evidence\": \"No form of 'allowed' appears in the text.\"\n }\n ],\n \"conclusion_logic\": \"IF the text includes the word 'dismissed' THEN the outcome is dismissed; ELSE IF it includes 'allowed' THEN the outcome is allowed; OTHERWISE the outcome is other.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1868_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1868_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeal pursuant to section 160 of the Income Tax Act is dismissed\",\n \"Costs awarded to the Respondent\",\n \"Signed by V.A. Miller J. on November 4, 2015\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome language such as 'dismissed' or 'allowed'\",\n \"Context of tax court appeal disposition\",\n \"Clarity of statement regarding the appeal outcome\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'dismissed' means the appeal is rejected; 'allowed' means it is granted\",\n \"'Other' covers outcomes like abandoned, withdrawn, or mixed rulings\",\n \"Section 160 of the Income Tax Act deals with
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{"example_id": 2309, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2309\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide for certain additional requirements with respect to patent disclosures.\nbill_summary: Biologic Patent Transparency Act\n\nThis bill requires the holder of a license to market a biologic drug to disclose all patents believed to be covering that drug. The bill also directs the Department of Health and Human Services (HHS) to make such information publicly available. (Biologics are drugs produced through natural processes or isolated from natural sources.)\n\nThe holder of a market approval license for a biologic product shall submit a list to HHS of all patents that the holder reasonably believes would be infringed by an unauthorized person making, using, offering to sell, selling, or importing that product. The license holder shall update HHS as to any relevant patents granted after the initial submission and as to listed patents that were later invalidated or rendered unenforceable.\n\nIf a patent that should have been listed was not timely disclosed to HHS, the patent holder may not sue for infringement of that patent.\n\nHHS shall publish an easily searchable list of all biologics that have received market approval or for which an application for approval has been filed. The list shall contain information including (1) the official and proprietary name of the product, (2) the patents the license holder has listed under this bill, (3) whether various market exclusivity periods apply to the product, and (4) information about whether the product is interchangeable with another biologic product.\ncompany_name: International Flavors & Fragrances, Inc.\ncompany_description: the term \"Frutarom\" to mean (i) for periods prior to October 4, 2018, Frutarom Industries Ltd and its subsidiaries and (ii) for periods after October 4, 2018, our business segment Frutarom. We are a leading innovator of sensory experiences that move the world. We co-create unique products that consumers taste, smell, or touch. Our expanded geographical footprint and product portfolio position us to better serve both our global customers and the growing regional, mid-sized and smaller specialty customers. Through the acquisition, of Frutarom we increased our product portfolio with complementary adjacencies, such as natural colors, antioxidants for food preservation, nutraceuticals, ingredients for infant formula and proteins for elderly nutrition, and expanded core product lines with savory solutions aimed at the meat and fish industry, citrus and other naturals flavors, specialty ingredients and new cosmetic actives. As a result, we now have over 90,000 products within our portfolio that are provided to customers in approximately 195 countries, which includes a significant number of faster-growing small an
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{"example_id": 2309, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2309\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide for certain additional requirements with respect to patent disclosures.\nbill_summary: Biologic Patent Transparency Act\n\nThis bill requires the holder of a license to market a biologic drug to disclose all patents believed to be covering that drug. The bill also directs the Department of Health and Human Services (HHS) to make such information publicly available. (Biologics are drugs produced through natural processes or isolated from natural sources.)\n\nThe holder of a market approval license for a biologic product shall submit a list to HHS of all patents that the holder reasonably believes would be infringed by an unauthorized person making, using, offering to sell, selling, or importing that product. The license holder shall update HHS as to any relevant patents granted after the initial submission and as to listed patents that were later invalidated or rendered unenforceable.\n\nIf a patent that should have been listed was not timely disclosed to HHS, the patent holder may not sue for infringement of that patent.\n\nHHS shall publish an easily searchable list of all biologics that have received market approval or for which an application for approval has been filed. The list shall contain information including (1) the official and proprietary name of the product, (2) the patents the license holder has listed under this bill, (3) whether various market exclusivity periods apply to the product, and (4) information about whether the product is interchangeable with another biologic product.\ncompany_name: International Flavors & Fragrances, Inc.\ncompany_description: the term \"Frutarom\" to mean (i) for periods prior to October 4, 2018, Frutarom Industries Ltd and its subsidiaries and (ii) for periods after October 4, 2018, our business segment Frutarom. We are a leading innovator of sensory experiences that move the world. We co-create unique products that consumers taste, smell, or touch. Our expanded geographical footprint and product portfolio position us to better serve both our global customers and the growing regional, mid-sized and smaller specialty customers. Through the acquisition, of Frutarom we increased our product portfolio with complementary adjacencies, such as natural colors, antioxidants for food preservation, nutraceuticals, ingredients for infant formula and proteins for elderly nutrition, and expanded core product lines with savory solutions aimed at the meat and fish industry, citrus and other naturals flavors, specialty ingredients and new cosmetic actives. As a result, we now have over 90,000 products within our portfolio that are provided to customers in approximately 195 countries, which includes a significant number of faster-growing small an
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{"example_id": 1693, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1693\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 396\nParagraph: For the foregoing reasons, the district court's denial of Columbia Hospital's motion to compel arbitration is AFFIRMED.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1693_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1693, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1693\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 396\nParagraph: For the foregoing reasons, the district court's denial of Columbia Hospital's motion to compel arbitration is AFFIRMED.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1693_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1693_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text is a single sentence from a judicial opinion.\",\n \"It states the district court's denial of a motion to compel arbitration is affirmed.\",\n \"No preceding analysis or facts are provided in the given snippet.\"\n ],\n \"task_type\": \"section_classification\",\n \"decision_factors\": [\n \"Whether the text contains a final holding or decision.\",\n \"Whether the text references a prior court action.\",\n \"Whether the text is introductory or explanatory.\"\n ],\n \"knowledge_slots\": [\n \"In legal opinions, 'AFFIRMED' indicates the outcome of an appeal.\",\n \"Common sections: Conclusion states the result; Decree is the formal order; Procedural History recounts lower court actions.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text discusses legal reasoning or applies law to facts.\"],\n \"less_relevant_if\": [\"The text only states a conclusion without explanation.\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"The text announces the court's decision on the issue.\"],\n \"less_relevant_if\": [\"The text is a formal order or lacks connection to the underlying reasoning.\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"The text is a formal order or directive from the court.\"],\n \"less_relevant_if\": [\"The text is narrative or analytical.\"]\n },\n {\n \"choice_key\": \"D\",\n \"relevant_if\": [\"The text describes the factual background of the case.\"],\n \"less_relevant_if\": [\"The text states the outcome of the case.\"]\n },\n {\n \"choice_key\": \"E\",\n \"relevant_if\": [\"The text defines the legal question to be decided.\"],\n \"less_relevant_if\": [\"The text resolves the issue.\"]\n },\n {\n \"choice_key\": \"F\",\n \"relevant_if\": [\"The text recounts what happened in a lower c
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{"example_id": 575, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 575\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFirst, in ordinary English and in light of the history of bail, the word “detain” is ambiguous in respect to the relevant point. The Oxford English Dictionary (OED), surveying the history of the word, notes that Edward Hall, a famous 16th-century legal scholar and author of Hall's Chronicle, wrote: “A traytor ... is apprehended and deteigned in prisone for his offence,” a use of the word, as we know from Blackstone, that is consistent with bail. See supra, at 863 – 864 OED (3d ed., Dec. 2012), http://www.oed.com/view/Entry/51176 (annot. to def. 1). David Hume, the famous 18th-century historian and philosopher, writes of being “detained in strict confinement,” thereby implying the existence of detention without strict confinement. Ibid. A 19th-century novelist writes, “ ‘Beg your pardon, sir,’ said the constable, ... ‘I shall be obliged to detain you till this business is settled’ ”—again a use of “detain” that we know (from Blackstone) is consistent with bail. Ibid. And the OED concludes that the primary meaning of “detain” is “[t]o keep in confinement or under restraint ; to keep prisoner.” Ibid. (emphasis added).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_575_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 575, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 575\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFirst, in ordinary English and in light of the history of bail, the word “detain” is ambiguous in respect to the relevant point. The Oxford English Dictionary (OED), surveying the history of the word, notes that Edward Hall, a famous 16th-century legal scholar and author of Hall's Chronicle, wrote: “A traytor ... is apprehended and deteigned in prisone for his offence,” a use of the word, as we know from Blackstone, that is consistent with bail. See supra, at 863 – 864 OED (3d ed., Dec. 2012), http://www.oed.com/view/Entry/51176 (annot. to def. 1). David Hume, the famous 18th-century historian and philosopher, writes of being “detained in strict confinement,” thereby implying the existence of detention without strict confinement. Ibid. A 19th-century novelist writes, “ ‘Beg your pardon, sir,’ said the constable, ... ‘I shall be obliged to detain you till this business is settled’ ”—again a use of “detain” that we know (from Blackstone) is consistent with bail. Ibid. And the OED concludes that the primary meaning of “detain” is “[t]o keep in confinement or under restraint ; to keep prisoner.” Ibid. (emphasis added).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_575_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_575_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses ambiguity of 'detain' in legal context, citing historical examples from OED and Blackstone\",\n \"Text argues that 'detain' can include detention without strict confinement and is consistent with bail\",\n \"The primary meaning per OED is 'to keep in confinement or under restraint; to keep prisoner'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text supports the inclusion of ambiguous interpretations of 'detain'\",\n \"Whether the historical usage examples align with a broad definition that includes bail-consistent use\",\n \"Whether the text emphasizes the primary meaning that restricts to confinement\"\n ],\n \"knowledge_slots\": [\n \"Legal interpretation of 'detain' can include temporary restraint without strict confinement\",\n \"Bail context is relevant to determining the scope of 'detain'\",\n \"Oxford English Dictionary defines 'detain' with emphasis on 'keep in confinement'\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n
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{"example_id": 726, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 726\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis case, however, concerns the distinct question of when a fact that bears on a defendant’s punishment, but which the legislature has not classified as an element of the charged offense, must nevertheless be treated as an offense element.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_726_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 726, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 726\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis case, however, concerns the distinct question of when a fact that bears on a defendant’s punishment, but which the legislature has not classified as an element of the charged offense, must nevertheless be treated as an offense element.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_726_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_726_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text concerns a fact that bears on a defendant's punishment.\",\n \"The legislature has not classified this fact as an element of the charged offense.\",\n \"The question is when such a fact must be treated as an offense element.\"\n ],\n \"missing_info\": [\n \"The definition or scope of the label 'No' is not provided.\",\n \"The definition or scope of the label 'Yes' is not provided.\"\n ],\n \"context_summary\": \"The text asks when a fact relevant to a defendant's punishment, not classified by the legislature as an element of the charged offense, must still be treated as an offense element.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_726_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 726, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 726\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis case, however, concerns the distinct question of when a fact that bears on a defendant’s punishment, but which the legislature has not classified as an element of the charged offense, must nevertheless be treated as an offense element.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_726_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_726_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text concerns a fact that bears on a defendant's punishment.\",\n \"The legislature has not classified this fact as an element of the charged offense.\",\n \"The question is when such a fact must be treated as an offense element.\"\n ],\n \"missing_info\": [\n \"The definition or scope of the label 'No' is not provided.\",\n \"The definition or scope of the label 'Yes' is not provided.\"\n ],\n \"context_summary\": \"The text asks when a fact relevant to a defendant's punishment, not classified by the legislature as an element of the charged offense, must still be treated as an offense element.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_726_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_726_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text asks when a fact that bears on punishment but is not classified as an element of the offense by the legislature must be treated as an offense element.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text corresponds to a specific legal definition or concept\",\n \"Whether the text is describing a rule or exception rather than applying one\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'offense element'\",\n \"Rules for considering punitive facts as elements under double jeopardy or sentencing law\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the definition or concept being tested\",\n \"The text is about a different legal question\"\n ],\n \"less_relevant_if\": [\n \"The text precisely matches the definition or concept\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text matches the definition or concept being
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{"example_id": 216, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 216\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWhat is the common law?...In Black's Law Dictionary, page 232, it is thus defined: ‘As distinguished from law created by the enactment of legislatures, the common law comprises the body of those principles and rules of action relating to the government and security of persons and property, which derive their authority solely from usages and customs of immemorial antiquity, or from the judgments and decrees of the courts...’\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_216_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 216, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 216\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWhat is the common law?...In Black's Law Dictionary, page 232, it is thus defined: ‘As distinguished from law created by the enactment of legislatures, the common law comprises the body of those principles and rules of action relating to the government and security of persons and property, which derive their authority solely from usages and customs of immemorial antiquity, or from the judgments and decrees of the courts...’\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_216_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_216_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification: A text is a definition if it explicitly states the meaning of a term, often using definitional language such as 'is defined as' or 'means'\", \"source\": \"Common classification criteria for definitions\"}\n ],\n \"elements\": [\n {\"element\": \"Text contains definitional phrases (e.g., 'is thus defined', 'comprises')\", \"satisfied\": \"yes\", \"evidence\": \"The text states 'In Black's Law Dictionary, page 232, it is thus defined' and 'the common law comprises'\"},\n {\"element\": \"Text provides a meaning for a specific term (common law)\", \"satisfied\": \"yes\", \"evidence\": \"The text defines 'common law' as a body of principles and rules derived from usages, customs, or judgments\"}\n ],\n \"conclusion_logic\": \"If the text includes explicit definitional language (e.g., 'is defined') and provides a meaning for a specific term, then it is a definition; otherwise it is not.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_216_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 216, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 216\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWhat is the common law?...In Black's Law Dictionary, page 232, it is thus defined: ‘As distinguished from law created by the enactment of legislatures, the common law comprises the body of those principles and rules of action relating to the government and security of persons and property, which derive their authority solely from usages and customs of immemorial antiquity, or from the judgments and decrees of the courts...’\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_216_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_216_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification: A text is a definition if it explicitly states the meaning of a term, often using definitional language such as 'is defined as' or 'means'\", \"source\": \"Common classification criteria for definitions\"}\n ],\n \"elements\": [\n {\"element\": \"Text contains definitional phrases (e.g., 'is thus defined', 'comprises')\", \"satisfied\": \"yes\", \"evidence\": \"The text states 'In Black's Law Dictionary, page 232, it is thus defined' and 'the common law comprises'\"},\n {\"element\": \"Text provides a meaning for a specific term (common law)\", \"satisfied\": \"yes\", \"evidence\": \"The text defines 'common law' as a body of principles and rules derived from usages, customs, or judgments\"}\n ],\n \"conclusion_logic\": \"If the text includes explicit definitional language (e.g., 'is defined') and provides a meaning for a specific term, then it is a definition; otherwise it is not.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_216_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_216_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text includes a definition of 'common law' from Black's Law Dictionary\",\n \"Definition contrasts common law with law created by legislatures\",\n \"Definition references usages, customs, and court judgments\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states 'common law' and provides a description\",\n \"Whether the text cites a legal dictionary source for the definition\",\n \"Whether the text discusses characteristics of common law rather than another topic
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{"example_id": 2809, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2809\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Void Where Prohibited\nApple administers and operates the www.apple.com Site from its location in Cupertino, California USA; other Apple sites may be administered and operated from various locations outside the United States. Although the Site is accessible worldwide, not all features, products or services discussed, referenced, provided or offered through or on the Site are available to all persons or in all geographic locations, or appropriate or available for use outside the United States. Apple reserves the right to limit, in its sole discretion, the provision and quantity of any feature, product or service to any person or geographic area. Any offer for any feature, product or service made on the Site is void where prohibited. If you choose to access the Site from outside the United States, you do so on your own initiative and you are solely responsible for complying with applicable local laws.\n\nMiscellaneous\nYou may not use or export or re-export any Content or any copy or adaptation of such Content, or any product or service offered on the Site, in violation of any applicable laws or regulations, including without limitation United States export laws and regulations.\n\nIf any of the provisions of these Terms of Use are held by a court or other tribunal of competent jurisdiction to be void or unenforceable, such provisions shall be limited or eliminated to the minimum extent necessary and replaced with a valid provision that best embodies the intent of these Terms of Use, so that these Terms of Use shall remain in full force and effect. These Terms of Use constitute the entire agreement between you and Apple with regard to your use of the Site, and any and all other written or oral agreements or understandings previously existing between you and Apple with respect to such use are hereby superseded and cancelled. Other than as provided in a purchase agreement you enter into with Apple, Apple will not accept any counter-offers to these Terms of Use, and all such offers are hereby categorically rejected. Apples failure to insist on or enforce strict performance of these Terms of Use shall not be construed as a waiver by Apple of any provision or any right it has to enforce these Terms of Use, nor shall any course of conduct between Apple and you or any other party be deemed to modify any provision of these Terms of Use. These Terms of Use shall not be interpreted or construed to confer any rights or remedies on any third parties.\n\nApple provides access to Apple international data and, therefore, may contain references or cross references to Apple products, programs and services that are not announced in your country. Such reference does not imply that Apple in your country intends to an
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{"example_id": 2809, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2809\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Void Where Prohibited\nApple administers and operates the www.apple.com Site from its location in Cupertino, California USA; other Apple sites may be administered and operated from various locations outside the United States. Although the Site is accessible worldwide, not all features, products or services discussed, referenced, provided or offered through or on the Site are available to all persons or in all geographic locations, or appropriate or available for use outside the United States. Apple reserves the right to limit, in its sole discretion, the provision and quantity of any feature, product or service to any person or geographic area. Any offer for any feature, product or service made on the Site is void where prohibited. If you choose to access the Site from outside the United States, you do so on your own initiative and you are solely responsible for complying with applicable local laws.\n\nMiscellaneous\nYou may not use or export or re-export any Content or any copy or adaptation of such Content, or any product or service offered on the Site, in violation of any applicable laws or regulations, including without limitation United States export laws and regulations.\n\nIf any of the provisions of these Terms of Use are held by a court or other tribunal of competent jurisdiction to be void or unenforceable, such provisions shall be limited or eliminated to the minimum extent necessary and replaced with a valid provision that best embodies the intent of these Terms of Use, so that these Terms of Use shall remain in full force and effect. These Terms of Use constitute the entire agreement between you and Apple with regard to your use of the Site, and any and all other written or oral agreements or understandings previously existing between you and Apple with respect to such use are hereby superseded and cancelled. Other than as provided in a purchase agreement you enter into with Apple, Apple will not accept any counter-offers to these Terms of Use, and all such offers are hereby categorically rejected. Apples failure to insist on or enforce strict performance of these Terms of Use shall not be construed as a waiver by Apple of any provision or any right it has to enforce these Terms of Use, nor shall any course of conduct between Apple and you or any other party be deemed to modify any provision of these Terms of Use. These Terms of Use shall not be interpreted or construed to confer any rights or remedies on any third parties.\n\nApple provides access to Apple international data and, therefore, may contain references or cross references to Apple products, programs and services that are not announced in your country. Such reference does not imply that Apple in your country intends to an
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{"example_id": 1907, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1907\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal under the Excise Tax Act from the notice of reassessment dated November 9, 2009 for the period from January 1, 2008 to December 31, 2008, is dismissed, without costs.\nSigned at Ottawa, Canada, this 2nd day of December, 2011.\nWyman W. Webb\nWebb J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1907_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1907, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1907\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal under the Excise Tax Act from the notice of reassessment dated November 9, 2009 for the period from January 1, 2008 to December 31, 2008, is dismissed, without costs.\nSigned at Ottawa, Canada, this 2nd day of December, 2011.\nWyman W. Webb\nWebb J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1907_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1907_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The appeal under the Excise Tax Act is dismissed without costs.\",\n \"The judgment was signed on December 2, 2011 by Webb J.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"The text explicitly states the outcome of the appeal\",\n \"The phrase 'is dismissed' appears in the judgment\"\n ],\n \"knowledge_slots\": [\n \"In legal judgments, outcomes are often explicitly stated (e.g., allowed, dismissed, other)\",\n \"The phrase 'dismissed without costs' indicates the appeal was rejected\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text indicates the appeal was granted or allowed\"],\n \"less_relevant_if\": [\"The text uses language of dismissal rather than allowance\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"The text clearly states the appeal is dismissed\"],\n \"less_relevant_if\": [\"The text indicates the appeal was allowed or the outcome is ambiguous\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"The text does not explicitly state a dismissal or allowance\"],\n \"less_relevant_if\": [\"The text directly states an outcome that matches allowed or dismissed\"]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1136, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1136\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWe thus decline to abandon our traditional approach to diminishment cases, which requires us to examine all the circumstances surrounding the opening of a reservation.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1136_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1136, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1136\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWe thus decline to abandon our traditional approach to diminishment cases, which requires us to examine all the circumstances surrounding the opening of a reservation.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1136_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1136_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal statement about diminishment cases and reservations\",\n \"Text mentions declining to abandon traditional approach\",\n \"Text requires examining all circumstances surrounding opening of a reservation\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text aligns with a given definition\",\n \"Whether the text describes a legal principle or rule\",\n \"Whether the text mentions specific elements (e.g., examination of circumstances, traditional approach)\"\n ],\n \"knowledge_slots\": [\n \"Diminishment cases in law involve reduction of rights or benefits\",\n \"Reservation opening refers to the process of activating or starting a reservation\",\n \"Legal definitions often specify elements or tests required\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The definition being tested does not match the text's description\",\n \"The text is a statement of policy rather than a definition\"\n ],\n \"less_relevant_if\": [\n \"The definition exactly matches the text's content\",\n \"The text clearly defines a legal concept\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The definition being tested matches the text's content\",\n \"The text clearly defines a legal concept or rule\"\n ],\n \"less_relevant_if\": [\n \"The definition does not match the text's description\",\n \"The text is ambiguous or lacks definitional structure\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text is being classified against\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2219, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2219\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To assist employers providing employment under special certificates issued under section 14(c) of the Fair Labor Standards Act of 1938 to transform their business and program models, to support individuals with disabilities to transition to competitive integrated employment, to phase out the use of such special certificates, and for other purposes.\nbill_summary: Transformation to Competitive Employment Act\n\nThis bill addresses employment standards for individuals with disabilities.\n\nThe bill directs the Department of Labor to award grants to states and certain eligible entities to assist them in transforming their business and program models to support individuals with disabilities by\n\n operating competitive integrated employment businesses, assisting disabled individuals in finding and retaining work in such employment, and providing integrated employment and integrated community participation and wraparound services for such individuals. The bill prohibits the issuance of new special certificates that allow payment of subminimum wages to disabled individuals and phases out existing certificates over a six year period.\n\nThe bill directs the Office of Disability Employment of Labor to award grants to provide technical assistance to employers transitioning from special certificates to competitive integrated employment for disabled individuals.\n\nLabor must contract with a nonprofit entity to conduct an evaluation of the impact of the transitioning requirements of this bill.\ncompany_name: ANSYS, Inc.\ncompany_description: BUSINESS ANSYS, a Delaware corporation formed in 1994, develops and globally markets engineering simulation software and services widely used by engineers, designers, researchers and students across a broad spectrum of industries and academia, including aerospace and defense, automotive, electronics, semiconductors, energy, materials and chemical processing, turbomachinery, consumer products, healthcare, and sports. The Company focuses on the development of open and flexible solutions that enable users to analyze designs directly on the desktop, providing a common platform for fast, efficient and cost-conscious product development, from design concept to final-stage testing and validation. The Company distributes its ANSYS® suite of simulation technologies through a global network of independent resellers and distributors (collectively, channel partners) and direct sales offices in strategic, global locations. ANSYS Workbench™ ANSYS Workbench is the framework upon which the Company's suite of advanced engineering simulation technologies is built. The innovative project schematic view ties together the entire simulation process, guiding the user through complex multip
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{"example_id": 2219, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2219\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To assist employers providing employment under special certificates issued under section 14(c) of the Fair Labor Standards Act of 1938 to transform their business and program models, to support individuals with disabilities to transition to competitive integrated employment, to phase out the use of such special certificates, and for other purposes.\nbill_summary: Transformation to Competitive Employment Act\n\nThis bill addresses employment standards for individuals with disabilities.\n\nThe bill directs the Department of Labor to award grants to states and certain eligible entities to assist them in transforming their business and program models to support individuals with disabilities by\n\n operating competitive integrated employment businesses, assisting disabled individuals in finding and retaining work in such employment, and providing integrated employment and integrated community participation and wraparound services for such individuals. The bill prohibits the issuance of new special certificates that allow payment of subminimum wages to disabled individuals and phases out existing certificates over a six year period.\n\nThe bill directs the Office of Disability Employment of Labor to award grants to provide technical assistance to employers transitioning from special certificates to competitive integrated employment for disabled individuals.\n\nLabor must contract with a nonprofit entity to conduct an evaluation of the impact of the transitioning requirements of this bill.\ncompany_name: ANSYS, Inc.\ncompany_description: BUSINESS ANSYS, a Delaware corporation formed in 1994, develops and globally markets engineering simulation software and services widely used by engineers, designers, researchers and students across a broad spectrum of industries and academia, including aerospace and defense, automotive, electronics, semiconductors, energy, materials and chemical processing, turbomachinery, consumer products, healthcare, and sports. The Company focuses on the development of open and flexible solutions that enable users to analyze designs directly on the desktop, providing a common platform for fast, efficient and cost-conscious product development, from design concept to final-stage testing and validation. The Company distributes its ANSYS® suite of simulation technologies through a global network of independent resellers and distributors (collectively, channel partners) and direct sales offices in strategic, global locations. ANSYS Workbench™ ANSYS Workbench is the framework upon which the Company's suite of advanced engineering simulation technologies is built. The innovative project schematic view ties together the entire simulation process, guiding the user through complex multip
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{"example_id": 2219, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2219\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To assist employers providing employment under special certificates issued under section 14(c) of the Fair Labor Standards Act of 1938 to transform their business and program models, to support individuals with disabilities to transition to competitive integrated employment, to phase out the use of such special certificates, and for other purposes.\nbill_summary: Transformation to Competitive Employment Act\n\nThis bill addresses employment standards for individuals with disabilities.\n\nThe bill directs the Department of Labor to award grants to states and certain eligible entities to assist them in transforming their business and program models to support individuals with disabilities by\n\n operating competitive integrated employment businesses, assisting disabled individuals in finding and retaining work in such employment, and providing integrated employment and integrated community participation and wraparound services for such individuals. The bill prohibits the issuance of new special certificates that allow payment of subminimum wages to disabled individuals and phases out existing certificates over a six year period.\n\nThe bill directs the Office of Disability Employment of Labor to award grants to provide technical assistance to employers transitioning from special certificates to competitive integrated employment for disabled individuals.\n\nLabor must contract with a nonprofit entity to conduct an evaluation of the impact of the transitioning requirements of this bill.\ncompany_name: ANSYS, Inc.\ncompany_description: BUSINESS ANSYS, a Delaware corporation formed in 1994, develops and globally markets engineering simulation software and services widely used by engineers, designers, researchers and students across a broad spectrum of industries and academia, including aerospace and defense, automotive, electronics, semiconductors, energy, materials and chemical processing, turbomachinery, consumer products, healthcare, and sports. The Company focuses on the development of open and flexible solutions that enable users to analyze designs directly on the desktop, providing a common platform for fast, efficient and cost-conscious product development, from design concept to final-stage testing and validation. The Company distributes its ANSYS® suite of simulation technologies through a global network of independent resellers and distributors (collectively, channel partners) and direct sales offices in strategic, global locations. ANSYS Workbench™ ANSYS Workbench is the framework upon which the Company's suite of advanced engineering simulation technologies is built. The innovative project schematic view ties together the entire simulation process, guiding the user through complex multip
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{"example_id": 508, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 508\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nPoverty, in its primary sense, is a human condition, to be '[w]anting in material riches or goods; lacking the conforts of life; needy.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_508_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 508, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 508\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nPoverty, in its primary sense, is a human condition, to be '[w]anting in material riches or goods; lacking the conforts of life; needy.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_508_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_508_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is a definition if it states the meaning of a term, often with a formal or explanatory tone.\",\n \"source\": \"Common linguistic classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text identifies a specific term (subject).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text begins with 'Poverty, in its primary sense, is a human condition...' identifying the term 'Poverty'.\"\n },\n {\n \"element\": \"The text provides a meaning or explanation of that term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It explains that poverty is 'wanting in material riches or goods; lacking the conforts of life; needy'.\"\n },\n {\n \"element\": \"The text uses definitional language (e.g., 'is', 'means', 'refers to').\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'is a human condition' is a definitional structure.\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a term and provides its meaning using definitional language, then it is a definition (leading to one label); otherwise, it is not (leading to the other label).\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_508_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 508, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 508\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nPoverty, in its primary sense, is a human condition, to be '[w]anting in material riches or goods; lacking the conforts of life; needy.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_508_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_508_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is a definition if it states the meaning of a term, often with a formal or explanatory tone.\",\n \"source\": \"Common linguistic classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text identifies a specific term (subject).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text begins with 'Poverty, in its primary sense, is a human condition...' identifying the term 'Poverty'.\"\n },\n {\n \"element\": \"The text provides a meaning or explanation of that term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It explains that poverty is 'wanting in material riches or goods; lacking the conforts of life; needy'.\"\n },\n {\n \"element\": \"The text uses definitional language (e.g., 'is', 'means', 'refers to').\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'is a human condition' is a definitional structure.\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a term and provides its meaning using definitional language, then it is a definition (leading to one label); otherwise, it is not (leading to the other label).\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_508_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_508_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text includes a definition of poverty\",\n \"Definition is quoted from a source\",\n \"Text discusses the primary sense of poverty\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states a definition\",\n \"Whether the text is primarily descriptive of a term\",\n \"Whether the text meets typical criteria for a definition\"\n ],\n \"knowledge_slots\": [\n \"A definition typically provides the meaning or essential attributes of a term\",\n \"Definition classification tasks evaluate if a passage qu
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{"example_id": 2639, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2639\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Modifying this Agreement\nWe may modify this Agreement, for example, to reflect changes to our Service or for legal, regulatory, or security reasons. YouTube will provide reasonable advance notice of any material modifications to this Agreement and the opportunity to review them, except that modifications addressing newly available features of the Service or modifications made for legal reasons may be effective immediately without notice. Modifications to this Agreement will only apply going forward. If you do not agree to the modified terms, you should remove any Content you have uploaded and discontinue your use of the Service.\n\nContinuation of this Agreement\nIf your use of the Service ends, the following terms of this Agreement will continue to apply to you: Other Legal Terms, About This Agreement, and the licenses granted by you will continue as described under Duration of License.\n\nSeverance\nIf it turns out that a particular term of this Agreement is not enforceable for any reason, this will not affect any other terms.\n\nNo Waiver\nIf you fail to comply with this Agreement and we do not take immediate action, this does not mean that we are giving up any rights that we may have (such as the right to take action in the future).\n\nInterpretation\nIn these terms, include or including means including but not limited to, and any examples we give are for illustrative purposes.\n\nGoverning Law\nAll claims arising out of or relating to these terms or the Service will be governed by California law, except Californias conflict of laws rules, and will be litigated exclusively in the federal or state courts of Santa Clara County, California, USA. You and YouTube consent to personal jurisdiction in those courts.\n\nLimitation on Legal Action\nYOU AND YOUTUBE AGREE THAT ANY CAUSE OF ACTION ARISING OUT OF OR RELATED TO THE SERVICES MUST COMMENCE WITHIN ONE (1) YEAR AFTER THE CAUSE OF ACTION ACCRUES. OTHERWISE, SUCH CAUSE OF ACTION IS PERMANENTLY BARRED.\nquestion: Does a user have a prima facie right to commence legal action against Youtube in the State of New York?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2639_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2639, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2639\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Modifying this Agreement\nWe may modify this Agreement, for example, to reflect changes to our Service or for legal, regulatory, or security reasons. YouTube will provide reasonable advance notice of any material modifications to this Agreement and the opportunity to review them, except that modifications addressing newly available features of the Service or modifications made for legal reasons may be effective immediately without notice. Modifications to this Agreement will only apply going forward. If you do not agree to the modified terms, you should remove any Content you have uploaded and discontinue your use of the Service.\n\nContinuation of this Agreement\nIf your use of the Service ends, the following terms of this Agreement will continue to apply to you: Other Legal Terms, About This Agreement, and the licenses granted by you will continue as described under Duration of License.\n\nSeverance\nIf it turns out that a particular term of this Agreement is not enforceable for any reason, this will not affect any other terms.\n\nNo Waiver\nIf you fail to comply with this Agreement and we do not take immediate action, this does not mean that we are giving up any rights that we may have (such as the right to take action in the future).\n\nInterpretation\nIn these terms, include or including means including but not limited to, and any examples we give are for illustrative purposes.\n\nGoverning Law\nAll claims arising out of or relating to these terms or the Service will be governed by California law, except Californias conflict of laws rules, and will be litigated exclusively in the federal or state courts of Santa Clara County, California, USA. You and YouTube consent to personal jurisdiction in those courts.\n\nLimitation on Legal Action\nYOU AND YOUTUBE AGREE THAT ANY CAUSE OF ACTION ARISING OUT OF OR RELATED TO THE SERVICES MUST COMMENCE WITHIN ONE (1) YEAR AFTER THE CAUSE OF ACTION ACCRUES. OTHERWISE, SUCH CAUSE OF ACTION IS PERMANENTLY BARRED.\nquestion: Does a user have a prima facie right to commence legal action against Youtube in the State of New York?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2639_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2639_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Contract states all claims must be litigated exclusively in Santa Clara County, California.\",\n \"Governing law is California law.\",\n \"
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{"example_id": 797, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 797\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe terms of § 1983 make plain two elements that are necessary for recovery.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_797_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 797, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 797\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe terms of § 1983 make plain two elements that are necessary for recovery.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_797_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_797_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text references § 1983\",\n \"Text states 'two elements necessary for recovery'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states the elements required for recovery under § 1983\",\n \"Whether the text is a restatement of the legal definition of § 1983 elements\"\n ],\n \"knowledge_slots\": [\n \"§ 1983 private right of action requires a constitutional violation by a government actor\",\n \"Typical elements: liable party, constitutional right, violation, causation, harm\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not match the specific definition or elements required\"\n ],\n \"less_relevant_if\": [\n \"Text aligns with the legal definition of § 1983 elements\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text directly states the necessary elements for recovery under § 1983\"\n ],\n \"less_relevant_if\": [\n \"Text is vague or does not specify the elements\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or elements that the text is being classified against\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2656, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2656\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: We provide these services to you and others to help advance our mission. In exchange, we need you to make the following commitments:\n\n1. Who can use Facebook\n\nWhen people stand behind their opinions and actions, our community is safer and more accountable. For this reason, you must:\nUse the same name that you use in everyday life.\nProvide accurate information about yourself.\nCreate only one account (your own) and use your timeline for personal purposes.\nNot share your password, give access to your Facebook account to others, or transfer your account to anyone else (without our permission).\n\nWe try to make Facebook broadly available to everyone, but you cannot use Facebook if:\nYou are under 13 years old (or the minimum legal age in your country to use our Products).\nYou are a convicted sex offender.\nWe've previously disabled your account for violations of our Terms or Policies.\nYou are prohibited from receiving our products, services, or software under applicable laws.\n\n2. What you can share and do on Facebook\n\nWe want people to use Facebook to express themselves and to share content that is important to them, but not at the expense of the safety and well-being of others or the integrity of our community. You therefore agree not to engage in the conduct described below (or to facilitate or support others in doing so):\n1. You may not use our Products to do or share anything:\nThat violates these Terms, our Community Standards, and other terms and policies that apply to your use of Facebook.\nThat is unlawful, misleading, discriminatory or fraudulent.\nThat infringes or violates someone else's rights, including their intellectual property rights.\n2. You may not upload viruses or malicious code or do anything that could disable, overburden, or impair the proper working or appearance of our Products.\n3. You may not access or collect data from our Products using automated means (without our prior permission) or attempt to access data you do not have permission to access.\n\nWe can remove or restrict access to content that is in violation of these provisions.\n\nIf we remove content that you have shared in violation of our Community Standards, well let you know and explain any options you have to request another review, unless you seriously or repeatedly violate these Terms or if doing so may expose us or others to legal liability; harm our community of users; compromise or interfere with the integrity or operation of any of our services, systems or Products; where we are restricted due to technical limitations; or where we are prohibited from doing so for legal reasons.\n\nTo help support our community, we encourage you to report content or conduct that you believe violates your r
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{"example_id": 2656, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2656\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: We provide these services to you and others to help advance our mission. In exchange, we need you to make the following commitments:\n\n1. Who can use Facebook\n\nWhen people stand behind their opinions and actions, our community is safer and more accountable. For this reason, you must:\nUse the same name that you use in everyday life.\nProvide accurate information about yourself.\nCreate only one account (your own) and use your timeline for personal purposes.\nNot share your password, give access to your Facebook account to others, or transfer your account to anyone else (without our permission).\n\nWe try to make Facebook broadly available to everyone, but you cannot use Facebook if:\nYou are under 13 years old (or the minimum legal age in your country to use our Products).\nYou are a convicted sex offender.\nWe've previously disabled your account for violations of our Terms or Policies.\nYou are prohibited from receiving our products, services, or software under applicable laws.\n\n2. What you can share and do on Facebook\n\nWe want people to use Facebook to express themselves and to share content that is important to them, but not at the expense of the safety and well-being of others or the integrity of our community. You therefore agree not to engage in the conduct described below (or to facilitate or support others in doing so):\n1. You may not use our Products to do or share anything:\nThat violates these Terms, our Community Standards, and other terms and policies that apply to your use of Facebook.\nThat is unlawful, misleading, discriminatory or fraudulent.\nThat infringes or violates someone else's rights, including their intellectual property rights.\n2. You may not upload viruses or malicious code or do anything that could disable, overburden, or impair the proper working or appearance of our Products.\n3. You may not access or collect data from our Products using automated means (without our prior permission) or attempt to access data you do not have permission to access.\n\nWe can remove or restrict access to content that is in violation of these provisions.\n\nIf we remove content that you have shared in violation of our Community Standards, well let you know and explain any options you have to request another review, unless you seriously or repeatedly violate these Terms or if doing so may expose us or others to legal liability; harm our community of users; compromise or interfere with the integrity or operation of any of our services, systems or Products; where we are restricted due to technical limitations; or where we are prohibited from doing so for legal reasons.\n\nTo help support our community, we encourage you to report content or conduct that you believe violates your r
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{"example_id": 1671, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1671\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 191\nParagraph: For the reasons herein expressed, we shall affirm.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1671_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1671, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1671\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 191\nParagraph: For the reasons herein expressed, we shall affirm.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1671_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1671_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text to classify is: 'Citation: 1 F.4th 191 Paragraph: For the reasons herein expressed, we shall affirm.'\",\n \"The possible labels are: Analysis, Conclusion, Decree, Facts, Issue, Procedural History, Rule.\",\n \"The task is to classify a short legal text excerpt into one of seven categories indicating the function of the decision section.\"\n ],\n \"missing_info\": [\n \"Full context of the legal opinion, such as preceding paragraphs or the nature of the case, which could disambiguate between Conclusion and Decree.\"\n ],\n \"context_summary\": \"The question presents a short legal text (citation 1 F.4th 191, paragraph 'For the reasons herein expressed, we shall affirm') and asks to classify it into one of seven labels: Analysis, Conclusion, Decree, Facts, Issue, Procedural History, or Rule. No additional context is provided.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1671_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1671, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1671\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 191\nParagraph: For the reasons herein expressed, we shall affirm.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1671_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1671_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text to classify is: 'Citation: 1 F.4th 191 Paragraph: For the reasons herein expressed, we shall affirm.'\",\n \"The possible labels are: Analysis, Conclusion, Decree, Facts, Issue, Procedural History, Rule.\",\n \"The task is to classify a short legal text excerpt into one of seven categories indicating the function of the decision section.\"\n ],\n \"missing_info\": [\n \"Full context of the legal opinion, such as preceding paragraphs or the nature of the case, which could disambiguate between Conclusion and Decree.\"\n ],\n \"context_summary\": \"The question presents a short legal text (citation 1 F.4th 191, paragraph 'For the reasons herein expressed, we shall affirm') and asks to classify it into one of seven labels: Analysis, Conclusion, Decree, Facts, Issue, Procedural History, or Rule. No additional context is provided.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1671_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1671_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\"The text is from a legal citation: 'For the reasons herein expressed, we shall affirm.'\"],\n \"task_type\": \"section_classification\",\n \"decision_factors\": [\n \"The phrase 'we shall affirm' indicates a final decision\",\n \"The text does not contain reasoning or analysis\",\n \"The text does not describe facts or procedural history\"\n ],\n \"knowledge_slots\": [\n \"Legal opinions typically include sections: Facts, Issue, Rule, Analysis, Conclusion, Decree, Procedural History\",\n \"Decree section contains the court's final order or judgment\",\n \"Conclusion section summarizes the holding but may not always include the explicit decision\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text contains detailed reasoning or application of law\"],\
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{"example_id": 1120, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1120\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThus, with respect to past sentences handed down by judges under determinate-sentencing schemes, the Court’s decision threatens to unleash a flood of petitions by convicted defendants seeldng to invalidate their sentences in whole or in part on the authority of the Court’s decision today.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1120_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1120, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1120\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThus, with respect to past sentences handed down by judges under determinate-sentencing schemes, the Court’s decision threatens to unleash a flood of petitions by convicted defendants seeldng to invalidate their sentences in whole or in part on the authority of the Court’s decision today.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1120_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1120_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification rule: A text is classified as 'Yes' if it defines a term or concept by stating its meaning, properties, or equivalence; otherwise 'No'.\", \"source\": \"LegalBench definition_classification task guidelines\"}\n ],\n \"elements\": [\n {\"element\": \"The text contains a definition of a term or concept.\", \"satisfied\": \"no\", \"evidence\": \"The text is a conditional statement about the effect of a court decision on sentencing petitions; it does not define any term.\"}\n ],\n \"conclusion_logic\": \"If the element 'text contains a definition' is satisfied, then the appropriate label is Yes; otherwise, the appropriate label is No.\",\n \"uncertainty_notes\": [\"The text is clearly not a definition; no ambiguity.\"],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1120_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1120, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1120\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThus, with respect to past sentences handed down by judges under determinate-sentencing schemes, the Court’s decision threatens to unleash a flood of petitions by convicted defendants seeldng to invalidate their sentences in whole or in part on the authority of the Court’s decision today.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1120_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1120_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification rule: A text is classified as 'Yes' if it defines a term or concept by stating its meaning, properties, or equivalence; otherwise 'No'.\", \"source\": \"LegalBench definition_classification task guidelines\"}\n ],\n \"elements\": [\n {\"element\": \"The text contains a definition of a term or concept.\", \"satisfied\": \"no\", \"evidence\": \"The text is a conditional statement about the effect of a court decision on sentencing petitions; it does not define any term.\"}\n ],\n \"conclusion_logic\": \"If the element 'text contains a definition' is satisfied, then the appropriate label is Yes; otherwise, the appropriate label is No.\",\n \"uncertainty_notes\": [\"The text is clearly not a definition; no ambiguity.\"],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1120_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1120_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses Court decision threatening to unleash a flood of petitions under determinate-sentencing schemes\",\n \"Text mentions convictions seeking to invalidate sentences in whole or in part on authority of the decision\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a legal term or concept\",\n \"Whether the text is primarily descriptive of an action rather than definitional\",\n \"Whether the text meets the specific criteria used in the definition classification task\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require evaluating if a text defines a term or concept\",\n \"Legal texts may contain implicit definitions through context\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n
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{"example_id": 733, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 733\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWe have declined to accord it “talismanic power,” because Miranda is to be enforced “only in those types of situations in which the concerns that powered the decision are impli cated.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_733_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 733, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 733\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWe have declined to accord it “talismanic power,” because Miranda is to be enforced “only in those types of situations in which the concerns that powered the decision are impli cated.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_733_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_733_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses Miranda decision and its enforcement.\",\n \"Text distinguishes from concept with 'talismanic power'.\",\n \"Text references concerns that powered the decision.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text aligns with a given definition.\",\n \"Whether the text exhibits contextual reasoning about a legal rule.\",\n \"Whether the text contains negation or qualification language.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require matching text to a predefined definition.\",\n \"Legal reasoning often involves interpreting boundaries of rules.\",\n \"The phrase 'talismanic power' may喻指 automatic effect or broad application.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text appears to reject or decline a certain characterization.\",\n \"The definition being classified involves a positive assertion that the text denies.\"\n ],\n \"less_relevant_if\": [\n \"The text is primarily affirming or explanatory without negation.\",\n \"The definition is about presence rather than absence.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text appears to affirm or illustrate a key principle of the definition.\",\n \"The definition involves reasoning about enforcement conditions or legal principles.\"\n ],\n \"less_relevant_if\": [\n \"The text focuses on what is excluded rather than what is included.\",\n \"The definition requires a more direct statement of a rule.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text is being classified against.\",\n \"The intended label meaning for 'Yes' and 'No' in this task.\"\n ],\n \"format_confidence\": 0.85\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 848, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 848\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee Cooper, supra, at 1248 (“There is a second Fourteenth Amendment substantive due process yardstick available to Cooper as a theory of § 1983 liability.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_848_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 848, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 848\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee Cooper, supra, at 1248 (“There is a second Fourteenth Amendment substantive due process yardstick available to Cooper as a theory of § 1983 liability.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_848_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_848_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal citation and quote from Cooper case\",\n \"Text mentions a second Fourteenth Amendment substantive due process yardstick\",\n \"Text is presented without context or question\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text exemplifies a legal definition\",\n \"Whether the text is a statement of legal principle rather than a definition\",\n \"The presence of specific terminology like 'yardstick' and 'substantive due process'\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions often state tests, standards, or rules\",\n \"Substantive due process yardsticks are established legal standards\",\n \"Classification tasks assess if text matches a given category\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text is not a definition but a factual assertion or application\",\n \"Text lacks a clear defining structure (e.g., 'means' or 'is defined as')\"\n ],\n \"less_relevant_if\": [\n \"Text directly defines a legal concept or standard\",\n \"Text is used as a definition in legal contexts\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text states a legal definition or standard explicitly\",\n \"Text describes a yardstick, which is a definitional concept\"\n ],\n \"less_relevant_if\": [\n \"Text is a citation note rather than a definition\",\n \"Text does not provide a complete definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or category being classified\",\n \"Context on what 'definition classification' entails in this task\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 936, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 936\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAnd, by that time I was up close to the candy counter, and I had a wide open view there.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_936_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 936, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 936\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAnd, by that time I was up close to the candy counter, and I had a wide open view there.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_936_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_936_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text describes someone approaching a candy counter and having a wide open view.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches the implicit definition being tested.\",\n \"Presence of specific linguistic features (e.g., narrative, sensory detail).\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require comparing text to a target definition.\",\n \"The definition is not provided; inference depends on context or task setup.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not exhibit features characteristic of the target definition.\"\n ],\n \"less_relevant_if\": [\n \"The text partially matches but fails to meet all criteria.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text exemplifies the target definition.\"\n ],\n \"less_relevant_if\": [\n \"The text is too vague or lacks specific defining elements.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The actual definition being classified.\",\n \"Task-specific instructions or context.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2327, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2327\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to improve understanding and forecasting of space weather events, and for other purposes.\nbill_summary: Promoting Research and Observations of Space Weather to Improve the Forecasting of Tomorrow Act or the PROSWIFT Act\n\nThis bill sets forth provisions concerning improving the ability of the United States to forecast space weather events and mitigate the effects of space weather.\n\nThe bill provides statutory authority for the National Science and Technology Council's Space Weather Operations, Research, and Mitigation Working Group, which coordinates executive branch efforts regarding space weather.\n\nThe bill directs the Office of Science and Technology Policy, National Oceanic and Atmospheric Administration (NOAA), National Science Foundation, Air Force, Navy, National Aeronautics and Space Administration (NASA), and U.S. Geological Survey to carry out specified space weather activities.\n\nNOAA may establish a pilot program under which NOAA offers to enter into contracts with entities in the commercial space weather sector to provide NOAA with space weather data that meets certain standards.\n\nThe working group must periodically review and update the benchmarks described in the report of the National Science and Technology Council titled Space Weather Phase 1 Benchmarks and dated June 2018, as necessary, based on (1) any significant new data or advances in scientific understanding that become available, or (2) the evolving needs of entities impacted by space weather phenomena.\ncompany_name: United Airlines Holdings, Inc.\ncompany_description: \"UAL\" or the \"Company\") is a holding company and its principal, wholly-owned subsidiary is United Airlines, Inc. (together with its consolidated subsidiaries, \"United\"). As UAL consolidates United for financial statement purposes, disclosures that relate to activities of United also apply to UAL, unless otherwise noted. The Company transports people and cargo throughout North America and to destinations in Asia, Europe, Africa, the Pacific, the Middle East and Latin America. UAL, through United and its regional carriers, operates more than 4,900 flights a day to 362 airports across six continents, with hubs at Newark Liberty International Airport (\"Newark\"), Chicago O'Hare International Airport ( The hub and spoke system allows us to transport passengers between a large number of destinations with substantially more frequent service than if each route were served directly. The hub system also allows us to add service to a new destination from a large number of cities using only one or a limited number of aircraft. As discussed under Alliances below, United is a member of Star Alliance, the world's largest alliance network. The Compa
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{"example_id": 2327, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2327\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to improve understanding and forecasting of space weather events, and for other purposes.\nbill_summary: Promoting Research and Observations of Space Weather to Improve the Forecasting of Tomorrow Act or the PROSWIFT Act\n\nThis bill sets forth provisions concerning improving the ability of the United States to forecast space weather events and mitigate the effects of space weather.\n\nThe bill provides statutory authority for the National Science and Technology Council's Space Weather Operations, Research, and Mitigation Working Group, which coordinates executive branch efforts regarding space weather.\n\nThe bill directs the Office of Science and Technology Policy, National Oceanic and Atmospheric Administration (NOAA), National Science Foundation, Air Force, Navy, National Aeronautics and Space Administration (NASA), and U.S. Geological Survey to carry out specified space weather activities.\n\nNOAA may establish a pilot program under which NOAA offers to enter into contracts with entities in the commercial space weather sector to provide NOAA with space weather data that meets certain standards.\n\nThe working group must periodically review and update the benchmarks described in the report of the National Science and Technology Council titled Space Weather Phase 1 Benchmarks and dated June 2018, as necessary, based on (1) any significant new data or advances in scientific understanding that become available, or (2) the evolving needs of entities impacted by space weather phenomena.\ncompany_name: United Airlines Holdings, Inc.\ncompany_description: \"UAL\" or the \"Company\") is a holding company and its principal, wholly-owned subsidiary is United Airlines, Inc. (together with its consolidated subsidiaries, \"United\"). As UAL consolidates United for financial statement purposes, disclosures that relate to activities of United also apply to UAL, unless otherwise noted. The Company transports people and cargo throughout North America and to destinations in Asia, Europe, Africa, the Pacific, the Middle East and Latin America. UAL, through United and its regional carriers, operates more than 4,900 flights a day to 362 airports across six continents, with hubs at Newark Liberty International Airport (\"Newark\"), Chicago O'Hare International Airport ( The hub and spoke system allows us to transport passengers between a large number of destinations with substantially more frequent service than if each route were served directly. The hub system also allows us to add service to a new destination from a large number of cities using only one or a limited number of aircraft. As discussed under Alliances below, United is a member of Star Alliance, the world's largest alliance network. The Compa
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{"example_id": 2327, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2327\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to improve understanding and forecasting of space weather events, and for other purposes.\nbill_summary: Promoting Research and Observations of Space Weather to Improve the Forecasting of Tomorrow Act or the PROSWIFT Act\n\nThis bill sets forth provisions concerning improving the ability of the United States to forecast space weather events and mitigate the effects of space weather.\n\nThe bill provides statutory authority for the National Science and Technology Council's Space Weather Operations, Research, and Mitigation Working Group, which coordinates executive branch efforts regarding space weather.\n\nThe bill directs the Office of Science and Technology Policy, National Oceanic and Atmospheric Administration (NOAA), National Science Foundation, Air Force, Navy, National Aeronautics and Space Administration (NASA), and U.S. Geological Survey to carry out specified space weather activities.\n\nNOAA may establish a pilot program under which NOAA offers to enter into contracts with entities in the commercial space weather sector to provide NOAA with space weather data that meets certain standards.\n\nThe working group must periodically review and update the benchmarks described in the report of the National Science and Technology Council titled Space Weather Phase 1 Benchmarks and dated June 2018, as necessary, based on (1) any significant new data or advances in scientific understanding that become available, or (2) the evolving needs of entities impacted by space weather phenomena.\ncompany_name: United Airlines Holdings, Inc.\ncompany_description: \"UAL\" or the \"Company\") is a holding company and its principal, wholly-owned subsidiary is United Airlines, Inc. (together with its consolidated subsidiaries, \"United\"). As UAL consolidates United for financial statement purposes, disclosures that relate to activities of United also apply to UAL, unless otherwise noted. The Company transports people and cargo throughout North America and to destinations in Asia, Europe, Africa, the Pacific, the Middle East and Latin America. UAL, through United and its regional carriers, operates more than 4,900 flights a day to 362 airports across six continents, with hubs at Newark Liberty International Airport (\"Newark\"), Chicago O'Hare International Airport ( The hub and spoke system allows us to transport passengers between a large number of destinations with substantially more frequent service than if each route were served directly. The hub system also allows us to add service to a new destination from a large number of cities using only one or a limited number of aircraft. As discussed under Alliances below, United is a member of Star Alliance, the world's largest alliance network. The Compa
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{"example_id": 976, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 976\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn that circumstance, the hearsay rules bar admission of even business records.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_976_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 976, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 976\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn that circumstance, the hearsay rules bar admission of even business records.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_976_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_976_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Hearsay exception for business records: The business records exception permits admission of records made at or near the time of an event, kept in the course of a regularly conducted business activity, and as a result of a trustworthy process, provided that the record is not otherwise objectionable and the opponent has a good faith opportunity to procure the original.\",\n \"source\": \"Federal Rule of Evidence 803(5)(A)-(B)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The record is not otherwise objectionable under a hearsay rule that prohibits admission of certain types of evidence.\",\n \"satisfied\": \"unclear\",\n \"evidence\": \"The text states 'the hearsay rules bar admission of even business records,' which suggests that despite meeting the specific element for the business records exception, the text asserts a general bar from hearsay rules. However, the text does not explicitly state whether the record meets the specific business records exception elements (made at or near the time, kept in course of business, trustworthy process).\"\n }\n ],\n \"conclusion_logic\": \"If the record meets all elements of the business records exception (made at or near the time, kept in course of business, trustworthy process, and the party has a good faith opportunity to procure the original), then hearsay rules do not bar admission. However, if a hearsay rule otherwise applies to prohibit admission (e.g., a general hearsay prohibition or another exception not satisfied), then admission may be barred. The text presents a statement about a hearsay bar, but does not provide information on whether the business records exception is fully satisfied.\",\n \"uncertainty_notes\": [\n \"The text does not specify whether the business records exception applies or whether other hearsay rules override it.\",\n \"The classification task likely requires determining if the text is a correct statement of a legal rule, but the exact label (Yes/No) is not provided in the prompt.\"\n ],\n \"confidence\": 0.6\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_976_2", "ty
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{"example_id": 976, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 976\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn that circumstance, the hearsay rules bar admission of even business records.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_976_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_976_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Hearsay exception for business records: The business records exception permits admission of records made at or near the time of an event, kept in the course of a regularly conducted business activity, and as a result of a trustworthy process, provided that the record is not otherwise objectionable and the opponent has a good faith opportunity to procure the original.\",\n \"source\": \"Federal Rule of Evidence 803(5)(A)-(B)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The record is not otherwise objectionable under a hearsay rule that prohibits admission of certain types of evidence.\",\n \"satisfied\": \"unclear\",\n \"evidence\": \"The text states 'the hearsay rules bar admission of even business records,' which suggests that despite meeting the specific element for the business records exception, the text asserts a general bar from hearsay rules. However, the text does not explicitly state whether the record meets the specific business records exception elements (made at or near the time, kept in course of business, trustworthy process).\"\n }\n ],\n \"conclusion_logic\": \"If the record meets all elements of the business records exception (made at or near the time, kept in course of business, trustworthy process, and the party has a good faith opportunity to procure the original), then hearsay rules do not bar admission. However, if a hearsay rule otherwise applies to prohibit admission (e.g., a general hearsay prohibition or another exception not satisfied), then admission may be barred. The text presents a statement about a hearsay bar, but does not provide information on whether the business records exception is fully satisfied.\",\n \"uncertainty_notes\": [\n \"The text does not specify whether the business records exception applies or whether other hearsay rules override it.\",\n \"The classification task likely requires determining if the text is a correct statement of a legal rule, but the exact label (Yes/No) is not provided in the prompt.\"\n ],\n \"confidence\": 0.6\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_976_2", "type": "function
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{"example_id": 1745, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1745\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the redeterminations of the Minister of National Revenue (Minister) made May 19, 2017 under Income Tax Act (Canada), in respect of the Canada Child Benefit (CCB) for the appellants 2013, 2014 and 2015 base taxation years is allowed, without costs, and the matter is referred back to the Minister for reconsideration and redetermination(s) on the basis that during the respective periods July 2014 to June 2015, July 2015 to June 2016 and July 2016 to June 2017 the appellant was not a shared-custody parent, due to the significantly greater time that she, relative to the father, committed to provision of custodial care of their children.\nSigned at Toronto, Ontario, this 31st day of October 2018.\nB. Russell\nRussell J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1745_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1745, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1745\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the redeterminations of the Minister of National Revenue (Minister) made May 19, 2017 under Income Tax Act (Canada), in respect of the Canada Child Benefit (CCB) for the appellants 2013, 2014 and 2015 base taxation years is allowed, without costs, and the matter is referred back to the Minister for reconsideration and redetermination(s) on the basis that during the respective periods July 2014 to June 2015, July 2015 to June 2016 and July 2016 to June 2017 the appellant was not a shared-custody parent, due to the significantly greater time that she, relative to the father, committed to provision of custodial care of their children.\nSigned at Toronto, Ontario, this 31st day of October 2018.\nB. Russell\nRussell J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1745_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1745_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeal regarding Canada Child Benefit redeterminations for 2013-2015\",\n \"Appeal allowed without costs\",\n \"Issue: appellant was not a shared-custody parent during specified periods\",\n \"Signed by Russell J. on October 31, 2018\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome language such as 'allowed' or 'dismissed'\",\n \"Context indicating the appeal succeeded or failed\",\n \"Absence of cost order or mixed ruling\"\n ],\n \"knowledge_slots\": [\n \"In Canadian tax court, 'allowed' means the appeal is granted in favour of the appellant\",\n \"'Dismissed' means the appeal is rejected\",\n \"'Other' covers outcomes like abandoned, withdrawn, or mixed rulings\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text explicitly states the appeal is 'allowed'\",\n \"Outcome language indicates the appellant succeeded\"\n ],\n \"less_relevant_if\": [\n \"Text states 'dismissed' or 'denied'\",\n \"Outcome language indicates failure\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text explicitly states the appeal is 'dismissed'\",\n \"Outcome language indicates rejection\"\n ],\n \"less_relevant_if\": [\n \"Text states 'allowed' or 'granted'\",\n \"Outcome language indicates success\"\n
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{"example_id": 502, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 502\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe making of the bond would seem to be the writing of it\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_502_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 502, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 502\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe making of the bond would seem to be the writing of it\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_502_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_502_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text: 'The making of the bond would seem to be the writing of it'\",\n \"Task: Definition classification with labels Yes/No\",\n \"No additional context provided\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a term\",\n \"Whether the text is a complete statement or a fragment\",\n \"Whether the text matches typical legal definition structure\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: determining if a text defines a term\",\n \"Legal language often uses 'the making of the bond would seem to be...'\",\n \"A definition typically states what something is or how it is done\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is ambiguous or incomplete\",\n \"The text does not clearly define a specific term\",\n \"The text is a general observation, not a definition\"\n ],\n \"less_relevant_if\": [\n \"The text is interpreted as a precise definition\",\n \"The text appears to define 'bond' explicitly\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is read as a definition of 'bond'\",\n \"The text follows a common definitional pattern\",\n \"The phrase 'would seem to be' is taken to mean 'is defined as'\"\n ],\n \"less_relevant_if\": [\n \"The text lacks a clear term being defined\",\n \"The text is more of a comment than a definition\",\n \"The definition is too vague to be a valid classification\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific legal term being defined\",\n \"Additional context about the bond or the definition\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 264, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 264\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nJustice GINSBURG suggests that “at the time the Constitution was framed, to ‘regulate’ meant, among other things, to require action.” Post, at 2621 (citing Seven–Sky v. Holder, 661 F.3d 1, 16 (C.A.D.C.2011); brackets and some internal quotation marks omitted).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_264_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 264, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 264\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nJustice GINSBURG suggests that “at the time the Constitution was framed, to ‘regulate’ meant, among other things, to require action.” Post, at 2621 (citing Seven–Sky v. Holder, 661 F.3d 1, 16 (C.A.D.C.2011); brackets and some internal quotation marks omitted).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_264_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_264_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a quote from Justice Ginsburg discussing the meaning of 'regulate' at the time the Constitution was framed.\",\n \"The quote includes a citation to a specific case and page.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text provides an explicit statement of the meaning of a term or phrase.\",\n \"Whether the text is presented as a definition or as a historical observation.\",\n \"The context in which the text is embedded (e.g., opinion, commentary).\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text that states the meaning of a term or phrase is classified as a definition; otherwise not.\",\n \"Legal interpretation: historical meanings of terms may be sought to clarify constitutional language.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not presented as a definition but as a historical note or application.\",\n \"The text does not directly state the meaning of a term in a definitional manner.\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly defines a term with a clear statement of its meaning.\",\n \"The text is used to explain the meaning of 'regulate' in a specific context.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is considered a definition because it provides the meaning of 'regulate' as used in the Constitution.\",\n \"The citation to a case that supports the definition makes it a definitional statement.\"\n ],\n \"less_relevant_if\": [\n \"The text is merely a suggestion or observation without a definitive statement.\",\n \"The text is embedded in a discussion that is not primarily about defining terms.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific term or phrase being classified.\",\n \"The broader context of the
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{"example_id": 854, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 854\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThat answer, however, is plainly insufficient given the holding in Terry that the Fourth Amendment applies to stops that need not be justified by probable cause in the absence of a full-blown arrest.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_854_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 854, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 854\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThat answer, however, is plainly insufficient given the holding in Terry that the Fourth Amendment applies to stops that need not be justified by probable cause in the absence of a full-blown arrest.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_854_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_854_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The Fourth Amendment applies to stops that need not be justified by probable cause in the absence of a full-blown arrest.\"\n ],\n \"missing_info\": [\n \"The definition or concept that the text is being classified against is not provided.\"\n ],\n \"context_summary\": \"The text references the Terry case and states that the Fourth Amendment applies to stops that do not require probable cause justification when a full-blown arrest is absent. The task is to classify this text as either 'Yes' or 'No' regarding an unspecified definition.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_854_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 854, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 854\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThat answer, however, is plainly insufficient given the holding in Terry that the Fourth Amendment applies to stops that need not be justified by probable cause in the absence of a full-blown arrest.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_854_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_854_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The Fourth Amendment applies to stops that need not be justified by probable cause in the absence of a full-blown arrest.\"\n ],\n \"missing_info\": [\n \"The definition or concept that the text is being classified against is not provided.\"\n ],\n \"context_summary\": \"The text references the Terry case and states that the Fourth Amendment applies to stops that do not require probable cause justification when a full-blown arrest is absent. The task is to classify this text as either 'Yes' or 'No' regarding an unspecified definition.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_854_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_854_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text references Terry case and Fourth Amendment applicability to stops without probable cause\",\n \"Text states the answer is insufficient given that holding\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text functions as a definition or a statement of sufficiency\",\n \"Whether the text cites a legal precedent to support a claim\"\n ],\n \"knowledge_slots\": [\n \"Terry v. Ohio establishes Fourth Amendment applies to vehicle stops without probable cause\",\n \"Definition classification tasks assess if text matches a given definition\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text is not a definition but a comment on sufficiency\",\n \"Text does not provide a clear definition of a term\"\n ],\n \"less_relevant_if\": [\n \"Text implicitly defines a legal rule via citation\",\n \"Task accepts indirect definitions\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text is considered a definition of a legal principle\",\n \"Text explains the applicability
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{"example_id": 2493, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2493\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 2. Privacy Policy\nWe ask that you review the terms of our Privacy Policy, so that you are aware of how we collect and use your information. Because our services are used by people all over the world, personal information that we collect may be stored and processed in the United States of America or any other country in which we or our agents maintain facilities. By using our services, you consent to any such transfer of information outside your country.\n\n3. Content We Host\na. You may find some material objectionable or erroneous: Because we provide a wide array of content that is produced or gathered by fellow users, you may encounter material that you find offensive, erroneous, misleading, mislabeled, or otherwise objectionable. We therefore ask that you use common sense and proper judgment when using our services.\nb. Our content is for general informational purposes only: Although we host a great deal of information that pertains to professional topics, including medical, legal, or financial issues, this content is presented for general informational purposes only. It should not be taken as professional advice. Please seek independent professional counseling from someone who is licensed or qualified in the applicable area in lieu of acting on any information, opinion, or advice contained in one of the Project websites.\nquestion: Does Wikimedia discourage people from relying on its content for legal or medical advice?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2493_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 2493, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2493\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 2. Privacy Policy\nWe ask that you review the terms of our Privacy Policy, so that you are aware of how we collect and use your information. Because our services are used by people all over the world, personal information that we collect may be stored and processed in the United States of America or any other country in which we or our agents maintain facilities. By using our services, you consent to any such transfer of information outside your country.\n\n3. Content We Host\na. You may find some material objectionable or erroneous: Because we provide a wide array of content that is produced or gathered by fellow users, you may encounter material that you find offensive, erroneous, misleading, mislabeled, or otherwise objectionable. We therefore ask that you use common sense and proper judgment when using our services.\nb. Our content is for general informational purposes only: Although we host a great deal of information that pertains to professional topics, including medical, legal, or financial issues, this content is presented for general informational purposes only. It should not be taken as professional advice. Please seek independent professional counseling from someone who is licensed or qualified in the applicable area in lieu of acting on any information, opinion, or advice contained in one of the Project websites.\nquestion: Does Wikimedia discourage people from relying on its content for legal or medical advice?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2493_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2493_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Disclaimer of professional advice: If a contract states that content is for general informational purposes only and explicitly tells users to seek independent professional counseling, then it encourages users not to rely on that content as professional advice.\",\n \"source\": \"Contract clause 'Content We Host' (b)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Content is presented for general informational purposes only\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says: 'this content is presented for general informational purposes only.'\"\n },\n {\n \"element\": \"User is explicitly told to seek independent professional counseling for legal/medical issues\",\n \"satisfied\": \"yes\",\n \"e
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{"example_id": 2493, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2493\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 2. Privacy Policy\nWe ask that you review the terms of our Privacy Policy, so that you are aware of how we collect and use your information. Because our services are used by people all over the world, personal information that we collect may be stored and processed in the United States of America or any other country in which we or our agents maintain facilities. By using our services, you consent to any such transfer of information outside your country.\n\n3. Content We Host\na. You may find some material objectionable or erroneous: Because we provide a wide array of content that is produced or gathered by fellow users, you may encounter material that you find offensive, erroneous, misleading, mislabeled, or otherwise objectionable. We therefore ask that you use common sense and proper judgment when using our services.\nb. Our content is for general informational purposes only: Although we host a great deal of information that pertains to professional topics, including medical, legal, or financial issues, this content is presented for general informational purposes only. It should not be taken as professional advice. Please seek independent professional counseling from someone who is licensed or qualified in the applicable area in lieu of acting on any information, opinion, or advice contained in one of the Project websites.\nquestion: Does Wikimedia discourage people from relying on its content for legal or medical advice?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2493_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2493_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Disclaimer of professional advice: If a contract states that content is for general informational purposes only and explicitly tells users to seek independent professional counseling, then it encourages users not to rely on that content as professional advice.\",\n \"source\": \"Contract clause 'Content We Host' (b)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Content is presented for general informational purposes only\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says: 'this content is presented for general informational purposes only.'\"\n },\n {\n \"element\": \"User is explicitly told to seek independent professional counseling for legal/medical issues\",\n \"satisfied\": \"yes\",\n \"e
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{"example_id": 1102, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1102\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nNot even the petitions of jealous rivals, egging the Crown on, were of avail to wake it into action.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1102_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1102, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1102\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nNot even the petitions of jealous rivals, egging the Crown on, were of avail to wake it into action.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1102_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1102_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes petitions ineffective in waking Crown to action\",\n \"Context is classification of text into 'Yes' or 'No' label\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches the definition being tested\",\n \"Presence of negation or absence of required elements\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require comparing text to a given definition\",\n \"The specific definition is not provided here\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not satisfy the criteria of the definition\"\n ],\n \"less_relevant_if\": [\n \"Text closely matches the definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text satisfies the criteria of the definition\"\n ],\n \"less_relevant_if\": [\n \"Text clearly does not match the definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text should be classified against\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 538, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 538\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The act of 'amending,' however, in both ordinary parlance and legal usage, has its own meaning separate and apart from the act of 'interpreting.' (See Black's Law Dictionary) \"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_538_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 538, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 538\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The act of 'amending,' however, in both ordinary parlance and legal usage, has its own meaning separate and apart from the act of 'interpreting.' (See Black's Law Dictionary) \"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_538_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_538_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text distinguishes amending from interpreting\",\n \"Cites Black's Law Dictionary as source\",\n \"States both terms have separate legal meanings\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a term\",\n \"Whether the text asserts a separate meaning or identity\",\n \"Presence of authoritative citation to a legal dictionary\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks evaluate if a passage defines a term\",\n \"Legal definitions often include references to established sources\",\n \"Distinction between defining and describing a term's relationship to others\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not provide an explicit definition but only discusses relationships\",\n \"Text is more about differentiation than fixed meaning\"\n ],\n \"less_relevant_if\": [\n \"Text directly quotes a dictionary definition\",\n \"Text explicitly states a separate legal meaning\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text asserts a distinct meaning apart from another term\",\n \"Text invokes a dictionary authority to establish meaning\"\n ],\n \"less_relevant_if\": [\n \"Text is ambiguous or lacks clear definitional language\",\n \"Text only interprets without stating a fixed definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"Exact classification rubric for 'Yes' vs 'No' labels\",\n \"Whether the task expects a passage to be a definition or not\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1793, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1793\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessment of tax made under the Income Tax Act for 2002 taxation year is allowed and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis in computing income, the Appellant is entitled to deduct expenses in the amount of $7,568.60 pursuant to paragraph 8(1)(g).\nSigned at Toronto, Ontario, this 19th day of May, 2005.\nE.A Bowie\nBowie J.\n2004-4037(IT)I\nBETWEEN:\nMARIA KASABOSKI,\n...\nBy: The Honourable Justice E.A. Bowie\nAppearances:\nAgent for the Appellant:\nFrank Velle\nCounsel for the Respondent:\nJonathon Penney\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1793_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1793, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1793\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessment of tax made under the Income Tax Act for 2002 taxation year is allowed and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis in computing income, the Appellant is entitled to deduct expenses in the amount of $7,568.60 pursuant to paragraph 8(1)(g).\nSigned at Toronto, Ontario, this 19th day of May, 2005.\nE.A Bowie\nBowie J.\n2004-4037(IT)I\nBETWEEN:\nMARIA KASABOSKI,\n...\nBy: The Honourable Justice E.A. Bowie\nAppearances:\nAgent for the Appellant:\nFrank Velle\nCounsel for the Respondent:\nJonathon Penney\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1793_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1793_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text states 'The appeal ... is allowed'\",\n \"The text concludes with a judge's signature and document title\",\n \"The text includes legal language about deducting expenses pursuant to paragraph 8(1)(g)\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Explicit statement of the court's decision on the appeal\",\n \"Presence of phrases like 'is allowed' or 'is dismissed'\",\n \"Wording of the final disposition in the text\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'allowed' means the appeal succeeds; 'dismissed' means it fails\",\n \"'Other' would cover outcomes like abandoned, withdrawn, or mixed rulings\",\n \"The specific paragraph 8(1)(g) of the Income Tax Act pertains to deductible expenses\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text uses 'allowed' or 'appeal is allowed'\",\n \"The court grants the appellant's request for reassessment\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'dismissed' or 'appeal is dismissed'\",\n \"The court denies all relief sought\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text uses 'dismissed' or 'appeal is dismissed'\",\n \"The court finds no merit in the appeal\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'allowed' or 'appeal is allowed'\",\n \"The court grants partial or full relief\"\n ]\n },\n {\n \"choice_key\": \"C\",\n \"releva
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{"example_id": 1802, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1802\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nFor the reasons attached hereto, the appeal is allowed and the assessments of the Minister of National Revenue for Employment Insurance Act premiums in the 2007, 2008 and 2009 years are vacated on the basis that the workers were performing their services as independent contractors.\nSigned at Ottawa, Canada, this 18th day of May 2011.\nG. A. Sheridan\nSheridan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1802_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1802, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1802\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nFor the reasons attached hereto, the appeal is allowed and the assessments of the Minister of National Revenue for Employment Insurance Act premiums in the 2007, 2008 and 2009 years are vacated on the basis that the workers were performing their services as independent contractors.\nSigned at Ottawa, Canada, this 18th day of May 2011.\nG. A. Sheridan\nSheridan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1802_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1802_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal is allowed.\",\n \"The assessments of the Minister of National Revenue for Employment Insurance Act premiums in the 2007, 2008 and 2009 years are vacated.\",\n \"The workers were performing services as independent contractors.\",\n \"The decision was signed by G. A. Sheridan, Justice, on May 18, 2011.\"\n ],\n \"missing_info\": [],\n \"context_summary\": \"A Canadian Tax Court decision allowing an appeal and vacating assessments for EI premiums in 2007-2009, with reasoning that workers were independent contractors.\",\n \"confidence\": 1.0\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1802_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1802, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1802\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nFor the reasons attached hereto, the appeal is allowed and the assessments of the Minister of National Revenue for Employment Insurance Act premiums in the 2007, 2008 and 2009 years are vacated on the basis that the workers were performing their services as independent contractors.\nSigned at Ottawa, Canada, this 18th day of May 2011.\nG. A. Sheridan\nSheridan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1802_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1802_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal is allowed.\",\n \"The assessments of the Minister of National Revenue for Employment Insurance Act premiums in the 2007, 2008 and 2009 years are vacated.\",\n \"The workers were performing services as independent contractors.\",\n \"The decision was signed by G. A. Sheridan, Justice, on May 18, 2011.\"\n ],\n \"missing_info\": [],\n \"context_summary\": \"A Canadian Tax Court decision allowing an appeal and vacating assessments for EI premiums in 2007-2009, with reasoning that workers were independent contractors.\",\n \"confidence\": 1.0\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1802_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1802_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeal is allowed and assessments vacated\",\n \"Workers were independent contractors\",\n \"Employment Insurance Act premiums for 2007-2009\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome statement in text\",\n \"Legal terms like 'allowed', 'vacated', 'dismissed'\",\n \"Judgment language: 'appeal is allowed'\"\n ],\n \"knowledge_slots\": [\n \"Canada Tax Court decisions use 'allowed' for successful appeals\",\n \"'Dismissed' indicates appeal denied\",\n \"'Vacated' means assessments nullified\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text contains 'appeal is allowed' or similar grant language\"],\n \"less_relevant_if\": [\"Text contains 'appeal is dismissed' or denial language\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"Text contains 'appeal is dismissed' or rejection language\
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{"example_id": 1744, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1744\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached reasons for judgment, the appeal with respect to the assessment bearing number 930819 made under the Income Tax Act for the 2007 taxation year is allowed, in part, to reduce the amount of the assessment to the amount shown on the certificate registered in the Federal Court of Canada.\nThere will be no order as to costs.\nSigned at Ottawa, Canada, this 25th day of March 2015.\nS. DArcy\nD'Arcy J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1744_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1744, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1744\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached reasons for judgment, the appeal with respect to the assessment bearing number 930819 made under the Income Tax Act for the 2007 taxation year is allowed, in part, to reduce the amount of the assessment to the amount shown on the certificate registered in the Federal Court of Canada.\nThere will be no order as to costs.\nSigned at Ottawa, Canada, this 25th day of March 2015.\nS. DArcy\nD'Arcy J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1744_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1744_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Appeal outcome classification: If the judgment explicitly states the appeal is 'allowed' or 'dismissed', classify accordingly; otherwise 'other'.\",\n \"source\": \"Common legal judgment language\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Judgment contains phrase 'is allowed' (indicating partial grant of appeal)\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'the appeal ... is allowed, in part'.\"\n },\n {\n \"element\": \"Judgment contains phrase 'is dismissed' (indicating rejection of appeal)\",\n \"satisfied\": \"no\",\n \"evidence\": \"No form of 'dismissed' appears in the text.\"\n }\n ],\n \"conclusion_logic\": \"If 'allowed' appears, map to allowed; if 'dismissed' appears, map to dismissed; otherwise map to other. The text has 'allowed' but not 'dismissed', so the condition points toward allowed, but the presence of 'in part' could raise uncertainty.\",\n \"uncertainty_notes\": [\n \"The phrase 'in part' modifies 'allowed', indicating partial allowance, but the core classification remains 'allowed'.\",\n \"No ambiguity in the language; the outcome is clearly stated.\"\n ],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1744_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1744, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1744\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached reasons for judgment, the appeal with respect to the assessment bearing number 930819 made under the Income Tax Act for the 2007 taxation year is allowed, in part, to reduce the amount of the assessment to the amount shown on the certificate registered in the Federal Court of Canada.\nThere will be no order as to costs.\nSigned at Ottawa, Canada, this 25th day of March 2015.\nS. DArcy\nD'Arcy J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1744_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1744_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Appeal outcome classification: If the judgment explicitly states the appeal is 'allowed' or 'dismissed', classify accordingly; otherwise 'other'.\",\n \"source\": \"Common legal judgment language\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Judgment contains phrase 'is allowed' (indicating partial grant of appeal)\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'the appeal ... is allowed, in part'.\"\n },\n {\n \"element\": \"Judgment contains phrase 'is dismissed' (indicating rejection of appeal)\",\n \"satisfied\": \"no\",\n \"evidence\": \"No form of 'dismissed' appears in the text.\"\n }\n ],\n \"conclusion_logic\": \"If 'allowed' appears, map to allowed; if 'dismissed' appears, map to dismissed; otherwise map to other. The text has 'allowed' but not 'dismissed', so the condition points toward allowed, but the presence of 'in part' could raise uncertainty.\",\n \"uncertainty_notes\": [\n \"The phrase 'in part' modifies 'allowed', indicating partial allowance, but the core classification remains 'allowed'.\",\n \"No ambiguity in the language; the outcome is clearly stated.\"\n ],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1744_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1744_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The appeal is allowed in part to reduce the assessment amount.\",\n \"No order as to costs is made.\",\n \"Judgment signed on March 25, 2015 by D'Arcy J.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"The judgment explicitly states
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{"example_id": 2444, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2444\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Introduction\nThank you for using the YouTube platform and the products, services and features we make available to you as part of the platform (collectively, the Service). \n\nOur Service\nThe Service allows you to discover, watch and share videos and other content, provides a forum for people to connect, inform, and inspire others across the globe, and acts as a distribution platform for original content creators and advertisers large and small. We provide lots of information about our products and how to use them in our Help Center. Among other things, you can find out about YouTube Kids, the YouTube Partner Program and YouTube Paid Memberships and Purchases (where available).You can also read all about enjoying content on other devices like your television, your games console, or Google Home.\n\nYour Service Provider\nThe entity providing the Service is Google LLC, a company operating under the laws of Delaware, located at 1600 Amphitheatre Parkway, Mountain View, CA 94043 (referred to as YouTube, we, us, or our). References to YouTubes Affiliates in these terms means the other companies within the Alphabet Inc. corporate group (now or in the future).\n\nApplicable Terms\nYour use of the Service is subject to these terms, the YouTube Community Guidelines and the Policy, Safety and Copyright Policies which may be updated from time to time (together, this \"Agreement\"). Your Agreement with us will also include the Advertising on YouTube Policies if you provide advertising or sponsorships to the Service or incorporate paid promotions in your content. Any other links or references provided in these terms are for informational use only and are not part of the Agreement.\n\nPlease read this Agreement carefully and make sure you understand it. If you do not understand the Agreement, or do not accept any part of it, then you may not use the Service.\n\nWho may use the Service?\nAge Requirements\nYou must be at least 13 years old to use the Service. However, children of all ages may use YouTube Kids (where available) if enabled by a parent or legal guardian.\n\nPermission by Parent or Guardian\nIf you are under 18, you represent that you have your parent or guardians permission to use the Service. Please have them read this Agreement with you.\nIf you are a parent or legal guardian of a user under the age of 18, by allowing your child to use the Service, you are subject to the terms of this Agreement and responsible for your childs activity on the Service. You can find tools and resources to help you manage your familys experience on YouTube in our Help Center and through Googles Family Link.\n\nBusinesses\nIf you are using the Service on behalf of a company or organisation, you represent that you
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{"example_id": 2444, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2444\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Introduction\nThank you for using the YouTube platform and the products, services and features we make available to you as part of the platform (collectively, the Service). \n\nOur Service\nThe Service allows you to discover, watch and share videos and other content, provides a forum for people to connect, inform, and inspire others across the globe, and acts as a distribution platform for original content creators and advertisers large and small. We provide lots of information about our products and how to use them in our Help Center. Among other things, you can find out about YouTube Kids, the YouTube Partner Program and YouTube Paid Memberships and Purchases (where available).You can also read all about enjoying content on other devices like your television, your games console, or Google Home.\n\nYour Service Provider\nThe entity providing the Service is Google LLC, a company operating under the laws of Delaware, located at 1600 Amphitheatre Parkway, Mountain View, CA 94043 (referred to as YouTube, we, us, or our). References to YouTubes Affiliates in these terms means the other companies within the Alphabet Inc. corporate group (now or in the future).\n\nApplicable Terms\nYour use of the Service is subject to these terms, the YouTube Community Guidelines and the Policy, Safety and Copyright Policies which may be updated from time to time (together, this \"Agreement\"). Your Agreement with us will also include the Advertising on YouTube Policies if you provide advertising or sponsorships to the Service or incorporate paid promotions in your content. Any other links or references provided in these terms are for informational use only and are not part of the Agreement.\n\nPlease read this Agreement carefully and make sure you understand it. If you do not understand the Agreement, or do not accept any part of it, then you may not use the Service.\n\nWho may use the Service?\nAge Requirements\nYou must be at least 13 years old to use the Service. However, children of all ages may use YouTube Kids (where available) if enabled by a parent or legal guardian.\n\nPermission by Parent or Guardian\nIf you are under 18, you represent that you have your parent or guardians permission to use the Service. Please have them read this Agreement with you.\nIf you are a parent or legal guardian of a user under the age of 18, by allowing your child to use the Service, you are subject to the terms of this Agreement and responsible for your childs activity on the Service. You can find tools and resources to help you manage your familys experience on YouTube in our Help Center and through Googles Family Link.\n\nBusinesses\nIf you are using the Service on behalf of a company or organisation, you represent that you
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{"example_id": 2002, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2002\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To advance United States national interests by prioritizing the protection of internationally recognized human rights and development of the rule of law in relations between the United States and Vietnam, and for other purposes.\nbill_summary: Vietnam Human Rights Act\n\nThis bill amends various reporting requirements related to foreign assistance and human rights. It also authorizes various aid programs related to Vietnam.\n\nIn its annual reports to Congress on human rights in foreign countries and U.S. security assistance programs, the Department of State shall include assessments of online freedom of expression in each country, including efforts by governments to censor information, punish individuals for their speech, and monitor communications.\n\nThe State Department's annual report on human rights in Vietnam shall include information regarding the country's progress in various areas, including with respect to ending torture and violence against religious groups and returning property improperly confiscated by the Vietnamese government.\n\nThe bill authorizes the State Department to establish programs to (1) monitor and halt sex trafficking of women from Vietnam and other Asian countries, and (2) address Vietnam's growing sex-ratio disparity. It authorizes the President to provide assistance for ethnic minority groups in Vietnam affected by human rights violations and directs the State Department to report on such efforts.\ncompany_name: Steelcase, Inc.\ncompany_description: \"our,\" \"Company\" and similar references are to Steelcase Inc. and its subsidiaries in which a controlling interest is maintained. All amounts are in millions, except share and per share data, data presented as a percentage or as otherwise indicated. At Steelcase, our purpose is to unlock human promise by transforming work, worker and workplace. Through our family of brands that include Steelcase®, Coalesse®, Designtex®, PolyVision®, , we offer a comprehensive portfolio of furniture and technology solutions that support the social, economic and sustainability needs of people and are inspired by the insights gained from our human-centered research process. We are a globally integrated enterprise, headquartered in Grand Rapids, Michigan, U.S.A., with approximately 11,700 employees. Our growth strategy focuses on translating our research-based insights into products, applications and experiences that will help the world's leading organizations amplify the performance of their people, teams and enterprise. We help our customers create workplace destinations that augment human interaction by supporting the physical, cognitive and emotional needs of their people, while also optimizing the value of their real estate i
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{"example_id": 2002, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2002\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To advance United States national interests by prioritizing the protection of internationally recognized human rights and development of the rule of law in relations between the United States and Vietnam, and for other purposes.\nbill_summary: Vietnam Human Rights Act\n\nThis bill amends various reporting requirements related to foreign assistance and human rights. It also authorizes various aid programs related to Vietnam.\n\nIn its annual reports to Congress on human rights in foreign countries and U.S. security assistance programs, the Department of State shall include assessments of online freedom of expression in each country, including efforts by governments to censor information, punish individuals for their speech, and monitor communications.\n\nThe State Department's annual report on human rights in Vietnam shall include information regarding the country's progress in various areas, including with respect to ending torture and violence against religious groups and returning property improperly confiscated by the Vietnamese government.\n\nThe bill authorizes the State Department to establish programs to (1) monitor and halt sex trafficking of women from Vietnam and other Asian countries, and (2) address Vietnam's growing sex-ratio disparity. It authorizes the President to provide assistance for ethnic minority groups in Vietnam affected by human rights violations and directs the State Department to report on such efforts.\ncompany_name: Steelcase, Inc.\ncompany_description: \"our,\" \"Company\" and similar references are to Steelcase Inc. and its subsidiaries in which a controlling interest is maintained. All amounts are in millions, except share and per share data, data presented as a percentage or as otherwise indicated. At Steelcase, our purpose is to unlock human promise by transforming work, worker and workplace. Through our family of brands that include Steelcase®, Coalesse®, Designtex®, PolyVision®, , we offer a comprehensive portfolio of furniture and technology solutions that support the social, economic and sustainability needs of people and are inspired by the insights gained from our human-centered research process. We are a globally integrated enterprise, headquartered in Grand Rapids, Michigan, U.S.A., with approximately 11,700 employees. Our growth strategy focuses on translating our research-based insights into products, applications and experiences that will help the world's leading organizations amplify the performance of their people, teams and enterprise. We help our customers create workplace destinations that augment human interaction by supporting the physical, cognitive and emotional needs of their people, while also optimizing the value of their real estate i
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{"example_id": 1405, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1405\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: We dismiss for lack of jurisdiction. Under the Act, courts may review only “final order[s] of the Board granting or denying relief ....” 29 U.S.C. § 160(f). This ruling did neither. Instead, the Board remanded to allow further factual development, see J.A. 151 — hardly the “consummation of the agency's decisionmaking process[.]” Bennett v. Spear, 520 U.S. 154, 178, 117 S.Ct. 1154, 137 L.Ed.2d 281 (1997) (quoting Chi. & S. Air Lines, Inc. v. Waterman S.S. Corp., 333 U.S. 103, 113, 68 S.Ct. 431, 92 L.Ed. 568 (1948)). It follows that the ruling is not a final order.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1405_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1405, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1405\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: We dismiss for lack of jurisdiction. Under the Act, courts may review only “final order[s] of the Board granting or denying relief ....” 29 U.S.C. § 160(f). This ruling did neither. Instead, the Board remanded to allow further factual development, see J.A. 151 — hardly the “consummation of the agency's decisionmaking process[.]” Bennett v. Spear, 520 U.S. 154, 178, 117 S.Ct. 1154, 137 L.Ed.2d 281 (1997) (quoting Chi. & S. Air Lines, Inc. v. Waterman S.S. Corp., 333 U.S. 103, 113, 68 S.Ct. 431, 92 L.Ed. 568 (1948)). It follows that the ruling is not a final order.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1405_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1405_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text is from a judicial opinion (1 F.4th 12) dismissing for lack of jurisdiction.\",\n \"The opinion cites 29 U.S.C. § 160(f) regarding final orders of the Board.\",\n \"The Board remanded for further factual development instead of making a final decision.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text applies a legal rule to specific facts (analysis) or states a final outcome (conclusion).\",\n \"Whether the text describes procedural steps (procedural history) or states a legal principle (rule).\",\n \"Whether the text contains a binding order (decree) or simply gives reasoning (analysis).\"\n ],\n \"knowledge_slots\": [\n \"Legal opinion sections: Analysis applies rule to facts, Conclusion states holding, Decree is order, Facts recites facts, Issue states question, Procedural History recounts prior steps, Rule states legal principle.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text applies a legal rule to specific factual circumstances to reach a reasoned point.\"\n ],\n \"less_relevant_if\": [\n \"The text does not perform legal reasoning but merely states a final outcome or order.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text states the court's ultimate holding or disposition on the issue.\"\n ],\n \"less_relevant_if\": [\n \"
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{"example_id": 800, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 800\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere was no treaty or convention fixing the boundary between them.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_800_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 800, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 800\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere was no treaty or convention fixing the boundary between them.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_800_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_800_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text to classify is: 'There was no treaty or convention fixing the boundary between them.'\",\n \"The classification task has two choices: 'No' and 'Yes'.\",\n \"The task is a definition classification, implying a binary decision based on some unstated definition or rule.\",\n \"The text makes a statement about the absence of a treaty or convention regarding a boundary.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classifying the text as 'Yes' or 'No' is not provided.\",\n \"The context or domain (e.g., which boundary, between which entities) is not given.\"\n ],\n \"context_summary\": \"Closed-book question: Classify the text 'There was no treaty or convention fixing the boundary between them.' into labels 'No' or 'Yes' for a definition classification task.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_800_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 800, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 800\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere was no treaty or convention fixing the boundary between them.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_800_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_800_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text to classify is: 'There was no treaty or convention fixing the boundary between them.'\",\n \"The classification task has two choices: 'No' and 'Yes'.\",\n \"The task is a definition classification, implying a binary decision based on some unstated definition or rule.\",\n \"The text makes a statement about the absence of a treaty or convention regarding a boundary.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classifying the text as 'Yes' or 'No' is not provided.\",\n \"The context or domain (e.g., which boundary, between which entities) is not given.\"\n ],\n \"context_summary\": \"Closed-book question: Classify the text 'There was no treaty or convention fixing the boundary between them.' into labels 'No' or 'Yes' for a definition classification task.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_800_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_800_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text states 'There was no treaty or convention fixing the boundary between them.'\",\n \"Task is to classify text into 'Yes' or 'No' label.\",\n \"No additional context provided.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text affirms or denies the existence of a boundary-fixing treaty.\",\n \"The specific definition or binary condition being tested.\"\n ],\n \"knowledge_slots\": [\n \"In international law, boundaries may be fixed by treaties or conventions.\",\n \"A statement about the absence of a treaty is a negative assertion.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The classification tests for a positive affirmation of a treaty.\",\n \"The text is evaluated as a negation, so 'No' applies to a definition that requires a positive statement.\"\n ],\n \"less_relevant_if\": [\n \"The definition expects a direct answer to whether a treaty exists.\",\n \"T
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{"example_id": 1386, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1386\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: As a result, the Board found that Palace violated 29 U.S.C. §§ 158(a)(1) and (5). But the Board's usual remedy — an order to “furnish all requested information” — would have left Palace in a fix. J.A. 152 n.15. According to Palace, some of that information was confidential, like its plans to “combat illegal gaming activity and money laundering.” J.A. 151. Handing over such information could “severely compromise [Palace's] business” and “advantage *14 **386 would-be malefactors[.]” J.A. 154. (As we later explain, Board precedent caused a dilemma for any employer wishing to challenge certification and preserve confidentiality.)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1386_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1386, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1386\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: As a result, the Board found that Palace violated 29 U.S.C. §§ 158(a)(1) and (5). But the Board's usual remedy — an order to “furnish all requested information” — would have left Palace in a fix. J.A. 152 n.15. According to Palace, some of that information was confidential, like its plans to “combat illegal gaming activity and money laundering.” J.A. 151. Handing over such information could “severely compromise [Palace's] business” and “advantage *14 **386 would-be malefactors[.]” J.A. 154. (As we later explain, Board precedent caused a dilemma for any employer wishing to challenge certification and preserve confidentiality.)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1386_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1386_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Legal opinion section classification based on function: sections are identified by their primary purpose (e.g., stating law, analyzing facts, announcing order).\",\n \"source\": \"Common legal writing conventions (e.g., IRAC, CREAC)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text states a legal conclusion or final determination\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text begins 'As a result, the Board found...' but then introduces a dilemma, not a final holding. It does not sound like a clear conclusion.\"\n },\n {\n \"element\": \"Text contains analysis applying law to facts\",\n \"satisfied\": \"unclear\",\n \"evidence\": \"The text discusses Palace's arguments and the Board's usual remedy, but it also references later explanation of precedent, suggesting analysis; however, it is not a typical reasoning paragraph.\"\n },\n {\n \"element\": \"Text describes procedural history\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not recount prior court or agency proceedings; it refers to a 'dilemma for any employer' generally.\"\n },\n {\n \"element\": \"Text states a rule of law\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not articulate a legal standard or rule; it describes what happened and arguments.\"\n },\n {\n
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{"example_id": 1386, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1386\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: As a result, the Board found that Palace violated 29 U.S.C. §§ 158(a)(1) and (5). But the Board's usual remedy — an order to “furnish all requested information” — would have left Palace in a fix. J.A. 152 n.15. According to Palace, some of that information was confidential, like its plans to “combat illegal gaming activity and money laundering.” J.A. 151. Handing over such information could “severely compromise [Palace's] business” and “advantage *14 **386 would-be malefactors[.]” J.A. 154. (As we later explain, Board precedent caused a dilemma for any employer wishing to challenge certification and preserve confidentiality.)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1386_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1386_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Legal opinion section classification based on function: sections are identified by their primary purpose (e.g., stating law, analyzing facts, announcing order).\",\n \"source\": \"Common legal writing conventions (e.g., IRAC, CREAC)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text states a legal conclusion or final determination\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text begins 'As a result, the Board found...' but then introduces a dilemma, not a final holding. It does not sound like a clear conclusion.\"\n },\n {\n \"element\": \"Text contains analysis applying law to facts\",\n \"satisfied\": \"unclear\",\n \"evidence\": \"The text discusses Palace's arguments and the Board's usual remedy, but it also references later explanation of precedent, suggesting analysis; however, it is not a typical reasoning paragraph.\"\n },\n {\n \"element\": \"Text describes procedural history\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not recount prior court or agency proceedings; it refers to a 'dilemma for any employer' generally.\"\n },\n {\n \"element\": \"Text states a rule of law\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not articulate a legal standard or rule; it describes what happened and arguments.\"\n },\n {\n
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{"example_id": 2550, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2550\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: The Site contains copyrighted material, trademarks and other proprietary information, including, but not limited to, text, software, photos, video, graphics, music and sound, and the entire contents of the Site are copyrighted as a collective work under the United States copyright laws. CNN owns copyright in the selection, coordination, arrangement and enhancement of such content, as well as in the content original to it. You may not modify, publish, transmit, participate in the transfer or sale, create derivative works, or in any way exploit, any of the content, in whole or in part. You may download copyrighted material for your personal use only. Except as otherwise expressly permitted under copyright law, no copying, redistribution, retransmission, publication or commercial exploitation of downloaded material will be permitted without the express permission of CNN and the copyright owner. In the event of any permitted copying, redistribution or publication of copyrighted material, no changes in or deletion of author attribution, trademark legend or copyright notice shall be made. You acknowledge that you do not acquire any ownership rights by downloading copyrighted material.\nquestion: Can I download copyrighted videos to watch at home?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2550_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2550, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2550\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: The Site contains copyrighted material, trademarks and other proprietary information, including, but not limited to, text, software, photos, video, graphics, music and sound, and the entire contents of the Site are copyrighted as a collective work under the United States copyright laws. CNN owns copyright in the selection, coordination, arrangement and enhancement of such content, as well as in the content original to it. You may not modify, publish, transmit, participate in the transfer or sale, create derivative works, or in any way exploit, any of the content, in whole or in part. You may download copyrighted material for your personal use only. Except as otherwise expressly permitted under copyright law, no copying, redistribution, retransmission, publication or commercial exploitation of downloaded material will be permitted without the express permission of CNN and the copyright owner. In the event of any permitted copying, redistribution or publication of copyrighted material, no changes in or deletion of author attribution, trademark legend or copyright notice shall be made. You acknowledge that you do not acquire any ownership rights by downloading copyrighted material.\nquestion: Can I download copyrighted videos to watch at home?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2550_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2550_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The contract states you may download copyrighted material for personal use only.\",\n \"The contract prohibits modification, publication, transmission, creation of derivative works, and other exploitation except as expressly permitted.\",\n \"The contract specifies that copying, redistribution, retransmission, publication, or commercial exploitation requires express permission unless otherwise permitted by copyright law.\"\n ],\n \"task_type\": \"contract_interpretation\",\n \"decision_factors\": [\n \"Whether downloading copyrighted videos is explicitly permitted for personal use.\",\n \"Whether the act of downloading for home viewing constitutes personal use as defined in the contract.\",\n \"Whether any express permission or exception applies to the specific type of content (videos) or use (home viewing).\"\n ],\n \"knowledge_slots\": [\n \"Copyright law generally allows limited fair use, but contracts can further restrict personal use.\",\n
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{"example_id": 1583, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1583\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 65\nParagraph: Applying those principles, the court concluded that several of the low-level participants in the conspiracy had limited perceptions of the amounts of money being laundered and, hence, could have reasonably foreseen only a percentage of the total forfeitable amount. Id. at 1006. As for Donna and Hurley, the court concluded that they both “reasonably could have foreseen the receipt of $136,344,231.86 in proceeds,” reflecting the total amount laundered. Id. In support of that conclusion, the court explained that the evidence “establishe[d] that the Saccoccias' activities spanned the entire spectrum of the conspiracy's operation from receiving of the cash in New York to wiring laundered proceeds back to Colombia.” Id. Hurley “also participated directly in most facets of the overall scheme including collecting cash from couriers, transporting it to Rhode Island, counting it and dividing it into smaller lots so that it could be taken to banks to purchase cashier's checks.” Id.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1583_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1583, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1583\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 65\nParagraph: Applying those principles, the court concluded that several of the low-level participants in the conspiracy had limited perceptions of the amounts of money being laundered and, hence, could have reasonably foreseen only a percentage of the total forfeitable amount. Id. at 1006. As for Donna and Hurley, the court concluded that they both “reasonably could have foreseen the receipt of $136,344,231.86 in proceeds,” reflecting the total amount laundered. Id. In support of that conclusion, the court explained that the evidence “establishe[d] that the Saccoccias' activities spanned the entire spectrum of the conspiracy's operation from receiving of the cash in New York to wiring laundered proceeds back to Colombia.” Id. Hurley “also participated directly in most facets of the overall scheme including collecting cash from couriers, transporting it to Rhode Island, counting it and dividing it into smaller lots so that it could be taken to banks to purchase cashier's checks.” Id.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1583_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1583_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Low-level participants had limited perceptions of money laundering amounts\",\n \"Donna and Hurley could have reasonably foreseen receipt of $136,344,231.86 in proceeds\",\n \"Saccoccias' activities spanned the entire spectrum of the conspiracy from receiving to laundering proceeds\",\n \"Hurley participated directly in collecting, transporting, and dividing cash for laundering\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Whether the text applies legal principles to specific evidence (suggesting Analysis)\",\n \"Whether the text states a final outcome (suggesting Conclusion)\",\n \"Whether the text describes the entire legal process (suggesting Procedural History)\",\n \"Whether the text states a legal rule or standard (suggesting Rule)\"\n ],\n \"knowledge_slots\": [\n \"Analysis section: applies legal principles to facts and interprets evidence\",\n \"Conclusion section: states the court's final determination or outcome\",\n \"Procedural History section: recounts prior court de
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{"example_id": 2033, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2033\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To expand Americans' access to the ballot box, reduce the influence of big money in politics, and strengthen ethics rules for public servants, and for other purposes.\nbill_summary: For the People Act of 2019\n\nThis bill addresses voter access, election integrity, election security, political spending, and ethics for the three branches of government.\n\nSpecifically, the bill expands voter registration and voting access and limits removing voters from voter rolls.\n\nThe bill provides for states to establish independent, nonpartisan redistricting commissions.\n\nThe bill also sets forth provisions related to election security, including sharing intelligence information with state election officials, protecting the security of the voter rolls, supporting states in securing their election systems, developing a national strategy to protect the security and integrity of U.S. democratic institutions, establishing in the legislative branch the National Commission to Protect United States Democratic Institutions, and other provisions to improve the cybersecurity of election systems.\n\nThis bill addresses campaign spending, including by expanding the ban on foreign nationals contributing to or spending on elections; expanding disclosure rules pertaining to organizations spending money during elections, campaign advertisements, and online platforms; and revising disclaimer requirements for political advertising.\n\nThis bill establishes an alternative campaign funding system for certain federal offices. The system involves federal matching of small contributions for qualified candidates.\n\nThis bill sets forth provisions related to ethics in all three branches of government. Specifically, the bill requires a code of ethics for federal judges and justices, prohibits Members of the House from serving on the board of a for-profit entity, expands enforcement of regulations governing foreign agents, and establishes additional conflict-of-interest and ethics provisions for federal employees and the White House.\n\nThe bill also requires candidates for President and Vice President to submit 10 years of tax returns.\ncompany_name: Adaptimmune Therapeutics Plc\ncompany_description: We are a clinical-stage biopharmaceutical company focused on providing novel cell therapies to patients, particularly in solid tumors. (Specific Peptide Enhanced Affinity Receptor) T-cell platform enables us to identify cancer targets, find and genetically engineer T-cell receptors (\"TCRs\"), and produce therapeutic candidates for administration to patients. Using our affinity engineered TCRs, we aim to become the first company to have a TCR T-cell approved for a solid tumor indication. All SPEAR T-cells are currently exhibiting ac
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{"example_id": 2033, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2033\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To expand Americans' access to the ballot box, reduce the influence of big money in politics, and strengthen ethics rules for public servants, and for other purposes.\nbill_summary: For the People Act of 2019\n\nThis bill addresses voter access, election integrity, election security, political spending, and ethics for the three branches of government.\n\nSpecifically, the bill expands voter registration and voting access and limits removing voters from voter rolls.\n\nThe bill provides for states to establish independent, nonpartisan redistricting commissions.\n\nThe bill also sets forth provisions related to election security, including sharing intelligence information with state election officials, protecting the security of the voter rolls, supporting states in securing their election systems, developing a national strategy to protect the security and integrity of U.S. democratic institutions, establishing in the legislative branch the National Commission to Protect United States Democratic Institutions, and other provisions to improve the cybersecurity of election systems.\n\nThis bill addresses campaign spending, including by expanding the ban on foreign nationals contributing to or spending on elections; expanding disclosure rules pertaining to organizations spending money during elections, campaign advertisements, and online platforms; and revising disclaimer requirements for political advertising.\n\nThis bill establishes an alternative campaign funding system for certain federal offices. The system involves federal matching of small contributions for qualified candidates.\n\nThis bill sets forth provisions related to ethics in all three branches of government. Specifically, the bill requires a code of ethics for federal judges and justices, prohibits Members of the House from serving on the board of a for-profit entity, expands enforcement of regulations governing foreign agents, and establishes additional conflict-of-interest and ethics provisions for federal employees and the White House.\n\nThe bill also requires candidates for President and Vice President to submit 10 years of tax returns.\ncompany_name: Adaptimmune Therapeutics Plc\ncompany_description: We are a clinical-stage biopharmaceutical company focused on providing novel cell therapies to patients, particularly in solid tumors. (Specific Peptide Enhanced Affinity Receptor) T-cell platform enables us to identify cancer targets, find and genetically engineer T-cell receptors (\"TCRs\"), and produce therapeutic candidates for administration to patients. Using our affinity engineered TCRs, we aim to become the first company to have a TCR T-cell approved for a solid tumor indication. All SPEAR T-cells are currently exhibiting ac
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{"example_id": 1847, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1847\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached Reasons for Judgment, the appeal with respect to assessments made under the Income Tax Act for the Appellants 2006 and 2007 taxation years is dismissed.\nSigned at Toronto, Ontario this 25th day of May 2016.\nJ. Woods\nWoods J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1847_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1847, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1847\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached Reasons for Judgment, the appeal with respect to assessments made under the Income Tax Act for the Appellants 2006 and 2007 taxation years is dismissed.\nSigned at Toronto, Ontario this 25th day of May 2016.\nJ. Woods\nWoods J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1847_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1847_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal is dismissed.\",\n \"The dismissal is with respect to assessments under the Income Tax Act for the 2006 and 2007 taxation years.\",\n \"The decision is signed by Justice J. Woods in Toronto, Ontario, on May 25, 2016.\"\n ],\n \"missing_info\": [\n \"The specific reasons for the judgment are not provided.\",\n \"No opposing party or appellant details are given.\"\n ],\n \"context_summary\": \"A judicial decision states that an appeal regarding Income Tax Act assessments for 2006 and 2007 is dismissed, signed by Woods J. in Toronto on May 25, 2016.\",\n \"confidence\": 1.0\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1847_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1847, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1847\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached Reasons for Judgment, the appeal with respect to assessments made under the Income Tax Act for the Appellants 2006 and 2007 taxation years is dismissed.\nSigned at Toronto, Ontario this 25th day of May 2016.\nJ. Woods\nWoods J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1847_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1847_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal is dismissed.\",\n \"The dismissal is with respect to assessments under the Income Tax Act for the 2006 and 2007 taxation years.\",\n \"The decision is signed by Justice J. Woods in Toronto, Ontario, on May 25, 2016.\"\n ],\n \"missing_info\": [\n \"The specific reasons for the judgment are not provided.\",\n \"No opposing party or appellant details are given.\"\n ],\n \"context_summary\": \"A judicial decision states that an appeal regarding Income Tax Act assessments for 2006 and 2007 is dismissed, signed by Woods J. in Toronto on May 25, 2016.\",\n \"confidence\": 1.0\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1847_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1847_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a court judgment excerpt\",\n \"Explicitly states 'appeal ... is dismissed'\",\n \"Signed by a judge\",\n \"Under the Income Tax Act\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome language in the text\",\n \"Consistency of wording across the judgment\",\n \"Context of 'appeal' and 'dismissed' vs 'allowed'\"\n ],\n \"knowledge_slots\": [\n \"Legal terminology: 'dismissed' means appeal rejected\",\n \"'Allowed' means appeal granted\",\n \"Standard phrasing for court outcomes\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text uses 'allowed' or 'granted' for the appeal\"\n ],\n \"less_relevant_if\": [\n \"Text uses 'dismissed' or 'rejected'\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text explicitly states 'appeal ... is dismissed'\"\n ],\n \"less_relevant_if\": [\n \"Text explicitly sta
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{"example_id": 2765, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2765\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: (D) License to User Content. By submitting User Content to the Site, you automatically grant CNN and its parent company, Turner Broadcasting, System, Inc., the royalty-free, perpetual, irrevocable, non-exclusive right and license, but not the obligation, to use, publish, reproduce, modify, adapt, edit, translate, create derivative works from, incorporate into other works, distribute, sub-license and otherwise exploit such User Content (in whole or in part) worldwide in any form, media or technology now known or hereafter developed for the full term of any copyright that may exist in such User Content, without payment to you or to any third parties. Notwithstanding the foregoing, in the event CNN licenses your iReport as stand-alone content outside of CNN's programming to third parties unaffiliated with CNN, CNN will pay you a percentage of the license fees it actually receives according to rates determined by CNN's licensing division, ImageSource. You agree and acknowledge that any iReport you submit may be entered into the annual iReport Awards. You represent and warrant to CNN that you have the full legal right, power and authority to grant to CNN the license provided for herein, that you own or control the complete exhibition and other rights to the User Content you submitted for the purposes contemplated in this license and that neither the User Content nor the exercise of the rights granted herein shall violate these Terms of Use, or infringe upon any rights, including the right of privacy or right of publicity, constitute a libel or slander against, or violate any common law or any other right of, or cause injury to, any person or entity. You further grant CNN the right, but not the obligation, to pursue at law any person or entity that violates your or CNN's rights in the User Content by a breach of these Terms of Use.\n(E) Moral Rights. If it is determined that you retain moral rights (including rights of attribution or integrity) in the User Content, you hereby declare that (a) you do not require that any personally identifying information be used in connection with the User Content, or any derivative works of or upgrades or updates thereto; (b) you have no objection to the publication, use, modification, deletion and exploitation of the User Content by CNN or its licensees, successors and assigns; (c) you forever waive and agree not to claim or assert any entitlement to any and all moral rights of an author in any of the User Content; and (d) you forever release CNN, and its licensees, successors and assigns, from any claims that you could otherwise assert against CNN by virtue of any such moral rights. You also permit any other user to access, view, store or reproduce the User Content
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{"example_id": 2765, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2765\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: (D) License to User Content. By submitting User Content to the Site, you automatically grant CNN and its parent company, Turner Broadcasting, System, Inc., the royalty-free, perpetual, irrevocable, non-exclusive right and license, but not the obligation, to use, publish, reproduce, modify, adapt, edit, translate, create derivative works from, incorporate into other works, distribute, sub-license and otherwise exploit such User Content (in whole or in part) worldwide in any form, media or technology now known or hereafter developed for the full term of any copyright that may exist in such User Content, without payment to you or to any third parties. Notwithstanding the foregoing, in the event CNN licenses your iReport as stand-alone content outside of CNN's programming to third parties unaffiliated with CNN, CNN will pay you a percentage of the license fees it actually receives according to rates determined by CNN's licensing division, ImageSource. You agree and acknowledge that any iReport you submit may be entered into the annual iReport Awards. You represent and warrant to CNN that you have the full legal right, power and authority to grant to CNN the license provided for herein, that you own or control the complete exhibition and other rights to the User Content you submitted for the purposes contemplated in this license and that neither the User Content nor the exercise of the rights granted herein shall violate these Terms of Use, or infringe upon any rights, including the right of privacy or right of publicity, constitute a libel or slander against, or violate any common law or any other right of, or cause injury to, any person or entity. You further grant CNN the right, but not the obligation, to pursue at law any person or entity that violates your or CNN's rights in the User Content by a breach of these Terms of Use.\n(E) Moral Rights. If it is determined that you retain moral rights (including rights of attribution or integrity) in the User Content, you hereby declare that (a) you do not require that any personally identifying information be used in connection with the User Content, or any derivative works of or upgrades or updates thereto; (b) you have no objection to the publication, use, modification, deletion and exploitation of the User Content by CNN or its licensees, successors and assigns; (c) you forever waive and agree not to claim or assert any entitlement to any and all moral rights of an author in any of the User Content; and (d) you forever release CNN, and its licensees, successors and assigns, from any claims that you could otherwise assert against CNN by virtue of any such moral rights. You also permit any other user to access, view, store or reproduce the User Content
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{"example_id": 2765, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2765\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: (D) License to User Content. By submitting User Content to the Site, you automatically grant CNN and its parent company, Turner Broadcasting, System, Inc., the royalty-free, perpetual, irrevocable, non-exclusive right and license, but not the obligation, to use, publish, reproduce, modify, adapt, edit, translate, create derivative works from, incorporate into other works, distribute, sub-license and otherwise exploit such User Content (in whole or in part) worldwide in any form, media or technology now known or hereafter developed for the full term of any copyright that may exist in such User Content, without payment to you or to any third parties. Notwithstanding the foregoing, in the event CNN licenses your iReport as stand-alone content outside of CNN's programming to third parties unaffiliated with CNN, CNN will pay you a percentage of the license fees it actually receives according to rates determined by CNN's licensing division, ImageSource. You agree and acknowledge that any iReport you submit may be entered into the annual iReport Awards. You represent and warrant to CNN that you have the full legal right, power and authority to grant to CNN the license provided for herein, that you own or control the complete exhibition and other rights to the User Content you submitted for the purposes contemplated in this license and that neither the User Content nor the exercise of the rights granted herein shall violate these Terms of Use, or infringe upon any rights, including the right of privacy or right of publicity, constitute a libel or slander against, or violate any common law or any other right of, or cause injury to, any person or entity. You further grant CNN the right, but not the obligation, to pursue at law any person or entity that violates your or CNN's rights in the User Content by a breach of these Terms of Use.\n(E) Moral Rights. If it is determined that you retain moral rights (including rights of attribution or integrity) in the User Content, you hereby declare that (a) you do not require that any personally identifying information be used in connection with the User Content, or any derivative works of or upgrades or updates thereto; (b) you have no objection to the publication, use, modification, deletion and exploitation of the User Content by CNN or its licensees, successors and assigns; (c) you forever waive and agree not to claim or assert any entitlement to any and all moral rights of an author in any of the User Content; and (d) you forever release CNN, and its licensees, successors and assigns, from any claims that you could otherwise assert against CNN by virtue of any such moral rights. You also permit any other user to access, view, store or reproduce the User Content
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{"example_id": 1419, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1419\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: The Commission and M-Class also rely on two FMSHRC decisions to support the proposition that a § 103(k) order can be modified after termination: Secretary of Labor v. Wyoming Fuel Co., 14 FMSHRC 1282, 1288–89 (1992), and Secretary of Labor v. Ten-A-Coal Co., 14 FMSHRC 1296, 1298 (1992). Wyoming Fuel Co. and Ten-A-Coal Co. indicate that a citation issued under § 104 of the Mine Act can be modified after termination, not that a § 103(k) safety order can be so modified. We agree with the Secretary that § 104 citations—and withdrawal orders—are distinguishable from § 103(k) safety orders. Pet'r’s Suppl. Br. 3–5. Termination of a § 104(a) citation signifies that the violative condition has abated and that the mine operator is no longer subject to a § 104(b) withdrawal order for failure to abate but “not that the citation itself no longer exists for other legal purposes ... [such as] subsequent contest and civil penalty proceedings.” Wyoming Fuel Co., 14 FMSHRC at 1288. There are no analogous citations or penalty proceedings under § 103(k). The functional difference between termination and vacatur in the context of a § 104 citation does not mean a terminated § 103(k) safety order—rather than a vacated § 103(k) safety order—threatens non-speculative legal consequences for the mine operator. Neither the Commission nor M-Class has identified any statutory basis for conversion of a § 103(k) safety order to a § 104 citation or withdrawal order.7 That MSHA—while investigating *24 **396 an accident after issuing a § 103(k) safety order—could note a health or safety violation and issue a citation under § 104 does not mean that a terminated § 103(k) safety order can serve as the basis for a later citation or be modified after termination.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1419_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1419, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1419\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: The Commission and M-Class also rely on two FMSHRC decisions to support the proposition that a § 103(k) order can be modified after termination: Secretary of Labor v. Wyoming Fuel Co., 14 FMSHRC 1282, 1288–89 (1992), and Secretary of Labor v. Ten-A-Coal Co., 14 FMSHRC 1296, 1298 (1992). Wyoming Fuel Co. and Ten-A-Coal Co. indicate that a citation issued under § 104 of the Mine Act can be modified after termination, not that a § 103(k) safety order can be so modified. We agree with the Secretary that § 104 citations—and withdrawal orders—are distinguishable from § 103(k) safety orders. Pet'r’s Suppl. Br. 3–5. Termination of a § 104(a) citation signifies that the violative condition has abated and that the mine operator is no longer subject to a § 104(b) withdrawal order for failure to abate but “not that the citation itself no longer exists for other legal purposes ... [such as] subsequent contest and civil penalty proceedings.” Wyoming Fuel Co., 14 FMSHRC at 1288. There are no analogous citations or penalty proceedings under § 103(k). The functional difference between termination and vacatur in the context of a § 104 citation does not mean a terminated § 103(k) safety order—rather than a vacated § 103(k) safety order—threatens non-speculative legal consequences for the mine operator. Neither the Commission nor M-Class has identified any statutory basis for conversion of a § 103(k) safety order to a § 104 citation or withdrawal order.7 That MSHA—while investigating *24 **396 an accident after issuing a § 103(k) safety order—could note a health or safety violation and issue a citation under § 104 does not mean that a terminated § 103(k) safety order can serve as the basis for a later citation or be modified after termination.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1419_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1419_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text from 1 F.4th 16 discussing Wyoming Fuel Co. and Ten-A-Coal Co. decisions\",\n \"Debating whether a § 103(k) safety order can be modified after termination\",\n \"Distinction between § 104 citations and § 103(k) safety orders\"\n ],\n \"task_type\": \"legal_doc
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{"example_id": 332, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 332\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe fundamental principle, as the Court recognizes, ante, at 819, is that employee rights and benefits increase with length of service.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_332_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 332, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 332\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe fundamental principle, as the Court recognizes, ante, at 819, is that employee rights and benefits increase with length of service.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_332_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_332_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text states a fundamental principle recognized by the Court: employee rights and benefits increase with length of service.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly or implicitly defines a term or concept.\",\n \"Whether the text states a general principle or rule as opposed to applying it to a specific case.\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, definitions are often accompanied by 'means', 'is defined as', or 'refers to'.\",\n \"Definition classification tasks assess if the text provides a standalone definition or is contextual/application.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is primarily an application or observation, not a direct definition.\",\n \"The text lacks a typical definitional structure (e.g., 'means', 'is').\"\n ],\n \"less_relevant_if\": [\n \"The text directly defines an undefined term or concept.\",\n \"The text is presented as a rule that is being applied, which may be considered a definition.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text states a fundamental principle that could be considered a definition of a legal concept.\",\n \"The text is taken from a legal opinion and is presented as a recognized rule, which may be definitional.\"\n ],\n \"less_relevant_if\": [\n \"The text is more of a factual statement than a definition.\",\n \"The text does not define any specific term or concept.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or concept that the text is supposed to be classified against.\",\n \"Whether the task expects a binary classification based on presence of a definitional statement or based on content.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 450, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 450\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term “confidential” meant then, as it does now, “private” or “secret.” Webster's Seventh New Collegiate Dictionary 174 (1963).Contemporary dictionaries suggest two conditions that might be required for information communicated to another to be considered confidential. In one sense, information communicated to another remains confidential whenever it is customarily kept private, or at least closely held, by the person imparting it. See, e.g., Webster's Third New International Dictionary 476 (1961) (“known only to a limited few” or “not publicly disseminated”); Black's Law Dictionary 370 (rev. 4th ed. 1968) (“intended to be held in confidence or kept secret”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_450_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 450, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 450\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term “confidential” meant then, as it does now, “private” or “secret.” Webster's Seventh New Collegiate Dictionary 174 (1963).Contemporary dictionaries suggest two conditions that might be required for information communicated to another to be considered confidential. In one sense, information communicated to another remains confidential whenever it is customarily kept private, or at least closely held, by the person imparting it. See, e.g., Webster's Third New International Dictionary 476 (1961) (“known only to a limited few” or “not publicly disseminated”); Black's Law Dictionary 370 (rev. 4th ed. 1968) (“intended to be held in confidence or kept secret”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_450_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_450_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines the term 'confidential' using dictionary quotes\",\n \"Text cites Webster's and Black's Law Dictionary\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text primarily defines a term\",\n \"Whether the text uses authoritative sources like dictionaries\",\n \"Whether the text is structured as a definition (e.g., 'means', 'suggest two conditions')\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text that explains the meaning of a term is classified as a definition\",\n \"Legal definitions often cite dictionaries or statutes\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not primarily a definition but a commentary or application\",\n \"The text does not provide a clear meaning of the term\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states what a term means\",\n \"The text uses dictionary definitions\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text states the meaning of a term,\n \"The text cites multiple dictionaries to establish meaning\"\n ],\n \"less_relevant_if\": [\n \"The text is ambiguous or does not define the term clearly\",\n \"The text is primarily historical or critical\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1221, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1221\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe statute is directed against parties who have offended in any of the particulars embraced by these clauses.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1221_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1221, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1221\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe statute is directed against parties who have offended in any of the particulars embraced by these clauses.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1221_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1221_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The statute is directed against parties who have offended in any of the particulars embraced by these clauses.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria that the text is being tested against.\"\n ],\n \"context_summary\": \"The text to classify: 'The statute is directed against parties who have offended in any of the particulars embraced by these clauses.' Choices: No or Yes. No additional context provided.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1221_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1221, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1221\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe statute is directed against parties who have offended in any of the particulars embraced by these clauses.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1221_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1221_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The statute is directed against parties who have offended in any of the particulars embraced by these clauses.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria that the text is being tested against.\"\n ],\n \"context_summary\": \"The text to classify: 'The statute is directed against parties who have offended in any of the particulars embraced by these clauses.' Choices: No or Yes. No additional context provided.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1221_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1221_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text describes a statute directed against parties who have offended in any of the particulars embraced by the clauses.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a term or concept.\",\n \"Whether the text describes a legal standard or rule rather than a definition.\"\n ],\n \"knowledge_slots\": [\n \"A definition typically states the meaning of a term or the boundaries of a concept.\",\n \"Legal texts may use phrase structures that are either definitional or descriptive.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not set forth a definition but instead states a rule or policy.\",\n \"The text is a conditional description of who is targeted, not a definition of a term.\"\n ],\n \"less_relevant_if\": [\n \"The text is interpreted as defining the scope of a legal term.\",\n \"The phrase 'is directed against' is taken to mean 'means' or 'refers to'.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is read as defining the concept of 'offense' or 'statute application'.\",\n \"The structure 'X is directed against Y' is considered a definitional statement.\"\n
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{"example_id": 1921, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1921\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the decision of the Minister of National Revenue dated February 24, 2010 is dismissed.\nSigned at Ottawa, Canada, this 23rd day of June 2011.\nG. A. Sheridan\nSheridan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1921_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1921, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1921\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the decision of the Minister of National Revenue dated February 24, 2010 is dismissed.\nSigned at Ottawa, Canada, this 23rd day of June 2011.\nG. A. Sheridan\nSheridan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1921_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1921_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Court outcome classification rule: The text contains a phrase indicating the outcome (allowed, dismissed, or other).\",\n \"source\": \"LegalBench task definition\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text contains a phrase that indicates the court's decision outcome.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'The appeal ... is dismissed.'\"\n },\n {\n \"element\": \"The outcome phrase matches one of the provided classification labels (allowed, dismissed, other).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'dismissed' is one of the labels in the choices.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains a phrase matching one of the labels, map it to that label; otherwise, map to 'other'. The evidence here shows the phrase is 'dismissed', so the label is the corresponding entry in the choices.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1921_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1921, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1921\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the decision of the Minister of National Revenue dated February 24, 2010 is dismissed.\nSigned at Ottawa, Canada, this 23rd day of June 2011.\nG. A. Sheridan\nSheridan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1921_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1921_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Court outcome classification rule: The text contains a phrase indicating the outcome (allowed, dismissed, or other).\",\n \"source\": \"LegalBench task definition\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text contains a phrase that indicates the court's decision outcome.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'The appeal ... is dismissed.'\"\n },\n {\n \"element\": \"The outcome phrase matches one of the provided classification labels (allowed, dismissed, other).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'dismissed' is one of the labels in the choices.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains a phrase matching one of the labels, map it to that label; otherwise, map to 'other'. The evidence here shows the phrase is 'dismissed', so the label is the corresponding entry in the choices.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1921_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1921_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text states: 'The appeal ... is dismissed.'\",\n \"The text is signed by a judge and dates from 2011.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Presence of the word 'dismissed' in the text.\",\n \"Absence of the word 'allowed'.\",\n \"The text is a court decision summary.\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'dismissed' means the appeal is rejected.\",\n \"'Allowed' means the appeal is granted.\",\n \"'Other' would include outcomes like adjourned, withdrawn, or unknown.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text uses 'allowed' or 'granted' for the appeal.\"],\n \"less_relevant_if\": [\"The text use
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{"example_id": 789, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 789\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nProceedings of the Conventions of the Province of Maryland, held at the City of Annapolis, in 1774, 1775, 1776, pp. 292-293 (J. Lucas & E. Deaver eds.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_789_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 789, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 789\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nProceedings of the Conventions of the Province of Maryland, held at the City of Annapolis, in 1774, 1775, 1776, pp. 292-293 (J. Lucas & E. Deaver eds.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_789_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_789_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a proceedings excerpt from Maryland conventions (1774-1776)\",\n \"Includes page numbers and editors (J. Lucas & E. Deaver)\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches the target definition for classification\",\n \"Presence of specific formal elements like conventions, provinces, years, editors\"\n ],\n \"knowledge_slots\": [\n \"Definition of a legal document excerpt\",\n \"Criteria for classification in definition classification tasks\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not fit the target definition\",\n \"Lack of required elements for the definition\"\n ],\n \"less_relevant_if\": [\n \"Text closely matches the target definition\",\n \"Contains all required formal elements\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text fits the target definition perfectly\",\n \"Contains all required elements for the classification\"\n ],\n \"less_relevant_if\": [\n \"Text missing key components of the definition\",\n \"Does not meet classification criteria\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or label being applied in this task\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 570, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 570\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThird, we know that when you purposefully seek or aim “to satisfy” an obligation, especially a financial obligation, that usually means you intend to discharge the obligation in full. (citing numerous dictionaries)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_570_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 570, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 570\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThird, we know that when you purposefully seek or aim “to satisfy” an obligation, especially a financial obligation, that usually means you intend to discharge the obligation in full. (citing numerous dictionaries)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_570_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_570_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses the intent to satisfy an obligation usually means intending to discharge in full\",\n \"Text cites dictionaries as source\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear statement of what a term means\",\n \"Whether the text asserts a general principle rather than applying it to a specific case\",\n \"Whether the text uses defining language (e.g., 'means', 'usually indicates')\"\n ],\n \"knowledge_slots\": [\n \"Definition statements often characterize the meaning of a term or phrase\",\n \"In legal contexts, definitions may be explicit or implicit rules of interpretation\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not provide a direct definition but rather an observation about intent\",\n \"The text is a contextual note rather than a defining statement\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states what 'purposefully seek to satisfy' means\",\n \"The text uses phrasing that typically appears in definitions (e.g., 'usually means')\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text directly addresses the meaning of a term and uses defining language\",\n \"The text cites authoritative sources (dictionaries) to support the meaning\"\n ],\n \"less_relevant_if\": [\n \"The text is more about interpreting intent than defining a term\",\n \"The statement is conditional or illustrative rather than a definitive definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific term or phrase being defined\",\n \"The broader context of the definition within a legal document\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1052, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1052\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWhile the 1785 Compact resolved certain jurisdictional issues, it did not determine the boundary between the States.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1052_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1052, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1052\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWhile the 1785 Compact resolved certain jurisdictional issues, it did not determine the boundary between the States.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1052_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1052_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text mentions that the 1785 Compact resolved certain jurisdictional issues but did not determine the boundary between the States.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches the definition being tested.\",\n \"Whether the text contains negation or absence language.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require comparing text against a given definition.\",\n \"Negation words like 'did not' can affect classification outcomes.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not satisfy the criteria of the definition.\",\n \"The definition requires a positive assertion that is absent.\"\n ],\n \"less_relevant_if\": [\n \"The text directly matches the definition without negation.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text implicitly or explicitly embodies the definition.\",\n \"The definition applies to texts that omit or deny a proposition.\"\n ],\n \"less_relevant_if\": [\n \"The definition requires a different structural or semantic feature.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text is being classified against.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1890, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1890\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nWHEREAS the Appellant has appealed to a Review Tribunal from a decision made by the Respondent pursuant to the Old Age Security Act, R.S. 1985, c. O-9 (the Act);\nAND WHEREAS the Appellant has raised as a ground of appeal the amount of her income for the calendar year 2002, and that ground of appeal has been referred to the Tax Court of Canada for a decision pursuant to subsection 28(2) of the Act;\nAND having heard the evidence of the Appellant and the submissions of the Appellant and of counsel for the Respondent;\nIT IS THE JUDGMENT OF THIS COURT that the Respondent did not err in his decision as to the amount of the income of the Appellant for the calendar year 2002, and the appeal is dismissed, and the Commissioner of Review Tribunals shall be so advised.\nSigned at Ottawa, Canada, this 8th day of August, 2005.\n\"E.A. Bowie\"\nBowie J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1890_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1890, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1890\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nWHEREAS the Appellant has appealed to a Review Tribunal from a decision made by the Respondent pursuant to the Old Age Security Act, R.S. 1985, c. O-9 (the Act);\nAND WHEREAS the Appellant has raised as a ground of appeal the amount of her income for the calendar year 2002, and that ground of appeal has been referred to the Tax Court of Canada for a decision pursuant to subsection 28(2) of the Act;\nAND having heard the evidence of the Appellant and the submissions of the Appellant and of counsel for the Respondent;\nIT IS THE JUDGMENT OF THIS COURT that the Respondent did not err in his decision as to the amount of the income of the Appellant for the calendar year 2002, and the appeal is dismissed, and the Commissioner of Review Tribunals shall be so advised.\nSigned at Ottawa, Canada, this 8th day of August, 2005.\n\"E.A. Bowie\"\nBowie J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1890_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1890_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The Appellant appealed to a Review Tribunal from a decision made by the Respondent pursuant to the Old Age Security Act.\",\n \"The Appellant raised as a ground of appeal the amount of her income for the calendar year 2002.\",\n \"That ground of appeal was referred to the Tax Court of Canada for decision pursuant to subsection 28(2) of the Act.\",\n \"The Tax Court heard evidence from the Appellant and submissions from the Appellant and counsel for the Respondent.\",\n \"The Tax Court judged that the Respondent did not err in his decision as to the amount of the income of the Appellant for 2002.\",\n \"The appeal was dismissed.\",\n \"The Commissioner of Review Tribunals shall be advised.\",\n \"The decision was signed on August 8, 2005 by Bowie J.\"\n ],\n \"missing_info\": [\n \"The specific income amount or calculation details\",\n \"The Appellant's arguments or evidence presented\",\n \"The original decision of the Review Tribunal\"\n ],\n \"context_summary\": \"The text is a Tax Court of Canada decision dismissing an appeal regarding the amount of income for 2002, stating the Respondent did not err and the appeal is dismissed.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1890_2", "type": "function", "function": {"name":
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{"example_id": 1890, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1890\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nWHEREAS the Appellant has appealed to a Review Tribunal from a decision made by the Respondent pursuant to the Old Age Security Act, R.S. 1985, c. O-9 (the Act);\nAND WHEREAS the Appellant has raised as a ground of appeal the amount of her income for the calendar year 2002, and that ground of appeal has been referred to the Tax Court of Canada for a decision pursuant to subsection 28(2) of the Act;\nAND having heard the evidence of the Appellant and the submissions of the Appellant and of counsel for the Respondent;\nIT IS THE JUDGMENT OF THIS COURT that the Respondent did not err in his decision as to the amount of the income of the Appellant for the calendar year 2002, and the appeal is dismissed, and the Commissioner of Review Tribunals shall be so advised.\nSigned at Ottawa, Canada, this 8th day of August, 2005.\n\"E.A. Bowie\"\nBowie J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1890_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1890_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The Appellant appealed to a Review Tribunal from a decision made by the Respondent pursuant to the Old Age Security Act.\",\n \"The Appellant raised as a ground of appeal the amount of her income for the calendar year 2002.\",\n \"That ground of appeal was referred to the Tax Court of Canada for decision pursuant to subsection 28(2) of the Act.\",\n \"The Tax Court heard evidence from the Appellant and submissions from the Appellant and counsel for the Respondent.\",\n \"The Tax Court judged that the Respondent did not err in his decision as to the amount of the income of the Appellant for 2002.\",\n \"The appeal was dismissed.\",\n \"The Commissioner of Review Tribunals shall be advised.\",\n \"The decision was signed on August 8, 2005 by Bowie J.\"\n ],\n \"missing_info\": [\n \"The specific income amount or calculation details\",\n \"The Appellant's arguments or evidence presented\",\n \"The original decision of the Review Tribunal\"\n ],\n \"context_summary\": \"The text is a Tax Court of Canada decision dismissing an appeal regarding the amount of income for 2002, stating the Respondent did not err and the appeal is dismissed.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1890_2", "type": "function", "function": {"name": "reasoner_tool
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{"example_id": 872, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 872\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is doubtful whether the Johnson reasoning would allow recovery under § 1983 for Kress’ alleged violation of § 201, and indeed the petitioner does not otherwise contend.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_872_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 872, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 872\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is doubtful whether the Johnson reasoning would allow recovery under § 1983 for Kress’ alleged violation of § 201, and indeed the petitioner does not otherwise contend.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_872_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_872_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as 'Yes' if it presents a definition or essential characteristics of a legal term; otherwise it is classified as 'No'.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text provides a definition of a legal term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text discusses doubt about applicability of Johnson reasoning to § 1983 and § 201, and states the petitioner does not contend otherwise. It does not define any term.\"\n },\n {\n \"element\": \"The text describes the essential characteristics of a legal concept.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text expresses uncertainty and a strategic statement, not characteristics of any legal concept.\"\n }\n ],\n \"conclusion_logic\": \"If the text provides a definition of a term, then label Yes; if the text does not define any term or only discusses application, then label No.\",\n \"uncertainty_notes\": [\n \"The text is ambiguous and does not clearly present a definition; classification depends on strict interpretation of the task's definition of 'definition'.\"\n ],\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_872_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 872, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 872\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is doubtful whether the Johnson reasoning would allow recovery under § 1983 for Kress’ alleged violation of § 201, and indeed the petitioner does not otherwise contend.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_872_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_872_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as 'Yes' if it presents a definition or essential characteristics of a legal term; otherwise it is classified as 'No'.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text provides a definition of a legal term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text discusses doubt about applicability of Johnson reasoning to § 1983 and § 201, and states the petitioner does not contend otherwise. It does not define any term.\"\n },\n {\n \"element\": \"The text describes the essential characteristics of a legal concept.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text expresses uncertainty and a strategic statement, not characteristics of any legal concept.\"\n }\n ],\n \"conclusion_logic\": \"If the text provides a definition of a term, then label Yes; if the text does not define any term or only discusses application, then label No.\",\n \"uncertainty_notes\": [\n \"The text is ambiguous and does not clearly present a definition; classification depends on strict interpretation of the task's definition of 'definition'.\"\n ],\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_872_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_872_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses doubt about recovery under § 1983 for Kress’ alleged violation of § 201\",\n \"Petitioner does not otherwise contend\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text expresses a definitive statement or a qualifying doubt\",\n \"The overall attitude toward the Johnson reasoning's applicability\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'classification' in this task: assigning a label that indicates agreement or disagreement\",\n
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{"example_id": 1906, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1906\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal with respect to an assessment made under the Income Tax Act for the 2005 taxation year is dismissed. The respondent is entitled to costs.\nSigned at Ottawa, Ontario this 5th day of May 2011.\nJ. M. Woods\nWoods J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1906_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1906, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1906\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal with respect to an assessment made under the Income Tax Act for the 2005 taxation year is dismissed. The respondent is entitled to costs.\nSigned at Ottawa, Ontario this 5th day of May 2011.\nJ. M. Woods\nWoods J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1906_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1906_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text states: 'The appeal ... is dismissed.'\",\n \"The text concludes with 'The respondent is entitled to costs.'\",\n \"The document is signed by a judge.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"The explicit statement 'appeal is dismissed' indicates the outcome.\",\n \"The phrase 'entitled to costs' suggests the respondent prevailed in cost terms.\",\n \"The judicial signature confirms it is a court ruling.\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'dismissed' means the appeal is rejected; 'allowed' means it is granted.\",\n \"Costs awarded to the respondent indicate they succeeded in the proceeding.\",\n \"Canadian Tax Court rulings use standardized language for outcomes.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text uses 'allowed' or 'granted' for the appeal outcome.\",\n \"The respondent clearly benefited from the ruling in a way that matches allowance.\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly uses 'dismissed' rather than 'allowed'.\",\n \"Costs are awarded to the respondent, which is typical of an allowed appeal.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text contains wording like 'dismissed' or 'rejected' describing the appeal outcome.\",\n \"The ruling includes language that the appeal is denied or not accepted.\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'allowed' or 'granted' instead of 'dismissed'.\",\n \"Ambiguous phrasing such as 'dismissed in part' might reduce relevance.\"\n ]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\n \"The text does not clearly state 'allowed' or 'dismissed' for the appeal.\",\n \"The ruling includes multiple conflicting orders or is non-dispositive.\"\n ],\n
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{"example_id": 859, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 859\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nM.: I am not telling you anything until they treat me.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_859_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 859, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 859\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nM.: I am not telling you anything until they treat me.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_859_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_859_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Speaker says 'I am not telling you anything until they treat me.'\",\n \"No additional context provided.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches a given definition\",\n \"Presence of conditional language 'until'\",\n \"Refraining from disclosure\"\n ],\n \"knowledge_slots\": [\n \"Definition of the legal concept or category this is being tested against\",\n \"Common characteristics of 'No' vs 'Yes' in binary classification tasks\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The definition requires an explicit denial or refusal\",\n \"The text does not contain any affirmative statement\"\n ],\n \"less_relevant_if\": [\n \"The definition accepts implicit refusals or conditions\",\n \"The text is interpreted as a delay rather than a refusal\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The definition considers conditional withholding as a form of affirmation\",\n \"The task is to detect any mention of a condition or delay\"\n ],\n \"less_relevant_if\": [\n \"The definition requires a direct 'yes' or 'no' answer\",\n \"The text is seen as a refusal rather than an affirmation\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or legal concept being classified\",\n \"Whether the classification is based on truth value or syntactic match\"\n ],\n \"format_confidence\": 0.85\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1945, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1945\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nLet the attached edited transcript of the reasons for judgment rendered on March 26, 2019 at Toronto, Ontario be filed. The reasons contained in the transcript (certified by the Court Reporter) have been edited for style, clarity and to make minor corrections only and contain no substantive changes.\nSigned at Toronto, Canada, this 24th day of May 2019.\nR.S. Bocock\nBocock J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1945_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1945, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1945\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nLet the attached edited transcript of the reasons for judgment rendered on March 26, 2019 at Toronto, Ontario be filed. The reasons contained in the transcript (certified by the Court Reporter) have been edited for style, clarity and to make minor corrections only and contain no substantive changes.\nSigned at Toronto, Canada, this 24th day of May 2019.\nR.S. Bocock\nBocock J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1945_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1945_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a court filing indicating reasons for judgment\",\n \"Date of judgment is March 26, 2019\",\n \"Signed by Bocock J. on May 24, 2019\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit language like 'allowed' or 'dismissed' in the text\",\n \"Whether the text describes a procedural or substantive decision\",\n \"Context of the edict format in legal judgments\"\n ],\n \"knowledge_slots\": [\n \"Canadian Tax Court judgments often include explicit outcome language\",\n \"The phrase 'Let the attached edited transcript...' is typical introduction for reasons\",\n \"Labels 'allowed' vs 'dismissed' appear in the main body of the judgment\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text contains explicit language such as 'allowed' or 'appeal allowed'\",\n \"The decision is described as granting relief or approval\"\n ],\n \"less_relevant_if\": [\n \"The text lacks explicit allowance language\",\n \"The text uses dismissive or neutral language\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text contains explicit language such as 'dismissed' or 'appeal dismissed'\",\n \"The decision is described as rejecting relief or appeal\"\n ],\n \"less_relevant_if\": [\n \"The text lacks explicit dismissal language\",\n \"The text uses permissive or allowance language\"\n ]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\n \"The text does not contain clear allowance or dismissal language\",\n \"The decision is procedural, stylistic, or does not resolve the issue\"\n ],\n \"less_relevant_if\": [\n
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{"example_id": 2553, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2553\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: (A) YOU EXPRESSLY AGREE THAT USE OF THE SITE IS AT YOUR SOLE RISK. NEITHER CNN, ITS PRESENT OR FUTURE PARENT(S), SUBSIDIARIES, OR RELATED ENTITIES (COLLECTIVELY, \"TURNER\"), NOR ANY OF THEIR RESPECTIVE EMPLOYEES, AGENTS, THIRD PARTY CONTENT PROVIDERS OR LICENSORS WARRANT THAT THE SITE WILL BE UNINTERRUPTED OR ERROR FREE; NOR DO THEY MAKE ANY WARRANTY AS TO THE RESULTS THAT MAY BE OBTAINED FROM USE OF THE SITE, OR AS TO THE ACCURACY, RELIABILITY OR CONTENT OF ANY INFORMATION, SERVICE, OR MERCHANDISE PROVIDED THROUGH THE SITE.\n(B) THE SITE, INCLUDING, WITHOUT LIMITATION, ANY DOWNLOADABLE SOFTWARE, IS PROVIDED ON AN \"AS IS\" BASIS WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, WARRANTIES OF TITLE OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, OTHER THAN THOSE WARRANTIES WHICH ARE IMPLIED BY AND INCAPABLE OF EXCLUSION, RESTRICTION OR MODIFICATION UNDER THE LAWS APPLICABLE TO THESE TERMS OF USE.\n(C) THE SITE MAY OFFER HEALTH, FITNESS, NUTRITIONAL AND OTHER SUCH INFORMATION, BUT SUCH INFORMATION IS DESIGNED FOR EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY. THE INFORMATION CONTAINED ON THE SITE DOES NOT AND IS NOT INTENDED TO CONVEY MEDICAL ADVICE AND DOES NOT CONSTITUTE THE PRACTICE OF MEDICINE. YOU SHOULD NOT RELY ON THIS INFORMATION AS A SUBSTITUTE FOR, NOR DOES IT REPLACE, PROFESSIONAL MEDICAL ADVICE, DIAGNOSIS, OR TREATMENT. CNN IS NOT RESPONSIBLE FOR ANY ACTIONS OR INACTION ON A USER'S PART BASED ON THE INFORMATION THAT IS PRESENTED IN THE SITE.\n(D) TO THE FULLEST EXTENT PERMISSIBLE BY APPLICABLE LAW, IN NO EVENT SHALL TURNER, BE LIABLE TO YOU FOR ANY PERSONAL INJURY, PROPERTY DAMAGE, LOST PROFITS, COST OF SUBSTITUTE GOODS OR SERVICES, LOSS OF DATA, LOSS OF GOODWILL, WORK STOPPAGE, COMPUTER AND/OR DEVICE OR TECHNOLOGY FAILURE OR MALFUNCTION OR FOR ANY FORM OF DIRECT OR INDIRECT, SPECIAL, INCIDENTAL, CONSEQUENTIAL, EXEMPLARY OR PUNITIVE DAMAGES BASED ON ANY CAUSES OF ACTION ARISING OUT OF USE OF THE SITE OR ANY ALLEGED FAILURE OF PERFORMANCE, ERROR, OMISSION, INTERRUPTION, DELETION, DEFECT, OR DELAY IN SERVICE, OPERATION, OR TRANSMISSION OF THE SITES, OR ANY ALLEGED COMPUTER VIRUS, COMMUNICATION LINE FAILURE, THEFT OR DESTRUCTION OF PROPERTY, AND/OR UNAUTHORIZED ACCESS TO, ALTERATION OF, OR USE OF OR POSTING OF ANY RECORD, CONTENT, OR TECHNOLOGY, PERTAINING TO OR ON THE SITES. YOU AGREE THAT THIS LIMITATION OF LIABILITY APPLIES WHEHER SUCH ALLEGATIONS ARE FOR BREACH OF CONTRACT, TORTIOUS BEHAVIOR, NEGLIGENCE, OR FALL UNDER ANY OTHER CAUSE OF ACTION, REGARDLESS OF THE BASIS UPON WHICH LIABILITY IS CLAIMED AND EVEN IF TURNER HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH LOSS OR DAMAGE. WITHOUT LIMITING THE GENERALITY OF THE
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{"example_id": 2553, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2553\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: (A) YOU EXPRESSLY AGREE THAT USE OF THE SITE IS AT YOUR SOLE RISK. NEITHER CNN, ITS PRESENT OR FUTURE PARENT(S), SUBSIDIARIES, OR RELATED ENTITIES (COLLECTIVELY, \"TURNER\"), NOR ANY OF THEIR RESPECTIVE EMPLOYEES, AGENTS, THIRD PARTY CONTENT PROVIDERS OR LICENSORS WARRANT THAT THE SITE WILL BE UNINTERRUPTED OR ERROR FREE; NOR DO THEY MAKE ANY WARRANTY AS TO THE RESULTS THAT MAY BE OBTAINED FROM USE OF THE SITE, OR AS TO THE ACCURACY, RELIABILITY OR CONTENT OF ANY INFORMATION, SERVICE, OR MERCHANDISE PROVIDED THROUGH THE SITE.\n(B) THE SITE, INCLUDING, WITHOUT LIMITATION, ANY DOWNLOADABLE SOFTWARE, IS PROVIDED ON AN \"AS IS\" BASIS WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, WARRANTIES OF TITLE OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, OTHER THAN THOSE WARRANTIES WHICH ARE IMPLIED BY AND INCAPABLE OF EXCLUSION, RESTRICTION OR MODIFICATION UNDER THE LAWS APPLICABLE TO THESE TERMS OF USE.\n(C) THE SITE MAY OFFER HEALTH, FITNESS, NUTRITIONAL AND OTHER SUCH INFORMATION, BUT SUCH INFORMATION IS DESIGNED FOR EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY. THE INFORMATION CONTAINED ON THE SITE DOES NOT AND IS NOT INTENDED TO CONVEY MEDICAL ADVICE AND DOES NOT CONSTITUTE THE PRACTICE OF MEDICINE. YOU SHOULD NOT RELY ON THIS INFORMATION AS A SUBSTITUTE FOR, NOR DOES IT REPLACE, PROFESSIONAL MEDICAL ADVICE, DIAGNOSIS, OR TREATMENT. CNN IS NOT RESPONSIBLE FOR ANY ACTIONS OR INACTION ON A USER'S PART BASED ON THE INFORMATION THAT IS PRESENTED IN THE SITE.\n(D) TO THE FULLEST EXTENT PERMISSIBLE BY APPLICABLE LAW, IN NO EVENT SHALL TURNER, BE LIABLE TO YOU FOR ANY PERSONAL INJURY, PROPERTY DAMAGE, LOST PROFITS, COST OF SUBSTITUTE GOODS OR SERVICES, LOSS OF DATA, LOSS OF GOODWILL, WORK STOPPAGE, COMPUTER AND/OR DEVICE OR TECHNOLOGY FAILURE OR MALFUNCTION OR FOR ANY FORM OF DIRECT OR INDIRECT, SPECIAL, INCIDENTAL, CONSEQUENTIAL, EXEMPLARY OR PUNITIVE DAMAGES BASED ON ANY CAUSES OF ACTION ARISING OUT OF USE OF THE SITE OR ANY ALLEGED FAILURE OF PERFORMANCE, ERROR, OMISSION, INTERRUPTION, DELETION, DEFECT, OR DELAY IN SERVICE, OPERATION, OR TRANSMISSION OF THE SITES, OR ANY ALLEGED COMPUTER VIRUS, COMMUNICATION LINE FAILURE, THEFT OR DESTRUCTION OF PROPERTY, AND/OR UNAUTHORIZED ACCESS TO, ALTERATION OF, OR USE OF OR POSTING OF ANY RECORD, CONTENT, OR TECHNOLOGY, PERTAINING TO OR ON THE SITES. YOU AGREE THAT THIS LIMITATION OF LIABILITY APPLIES WHEHER SUCH ALLEGATIONS ARE FOR BREACH OF CONTRACT, TORTIOUS BEHAVIOR, NEGLIGENCE, OR FALL UNDER ANY OTHER CAUSE OF ACTION, REGARDLESS OF THE BASIS UPON WHICH LIABILITY IS CLAIMED AND EVEN IF TURNER HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH LOSS OR DAMAGE. WITHOUT LIMITING THE GENERALITY OF THE
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{"example_id": 2553, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2553\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: (A) YOU EXPRESSLY AGREE THAT USE OF THE SITE IS AT YOUR SOLE RISK. NEITHER CNN, ITS PRESENT OR FUTURE PARENT(S), SUBSIDIARIES, OR RELATED ENTITIES (COLLECTIVELY, \"TURNER\"), NOR ANY OF THEIR RESPECTIVE EMPLOYEES, AGENTS, THIRD PARTY CONTENT PROVIDERS OR LICENSORS WARRANT THAT THE SITE WILL BE UNINTERRUPTED OR ERROR FREE; NOR DO THEY MAKE ANY WARRANTY AS TO THE RESULTS THAT MAY BE OBTAINED FROM USE OF THE SITE, OR AS TO THE ACCURACY, RELIABILITY OR CONTENT OF ANY INFORMATION, SERVICE, OR MERCHANDISE PROVIDED THROUGH THE SITE.\n(B) THE SITE, INCLUDING, WITHOUT LIMITATION, ANY DOWNLOADABLE SOFTWARE, IS PROVIDED ON AN \"AS IS\" BASIS WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, WARRANTIES OF TITLE OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, OTHER THAN THOSE WARRANTIES WHICH ARE IMPLIED BY AND INCAPABLE OF EXCLUSION, RESTRICTION OR MODIFICATION UNDER THE LAWS APPLICABLE TO THESE TERMS OF USE.\n(C) THE SITE MAY OFFER HEALTH, FITNESS, NUTRITIONAL AND OTHER SUCH INFORMATION, BUT SUCH INFORMATION IS DESIGNED FOR EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY. THE INFORMATION CONTAINED ON THE SITE DOES NOT AND IS NOT INTENDED TO CONVEY MEDICAL ADVICE AND DOES NOT CONSTITUTE THE PRACTICE OF MEDICINE. YOU SHOULD NOT RELY ON THIS INFORMATION AS A SUBSTITUTE FOR, NOR DOES IT REPLACE, PROFESSIONAL MEDICAL ADVICE, DIAGNOSIS, OR TREATMENT. CNN IS NOT RESPONSIBLE FOR ANY ACTIONS OR INACTION ON A USER'S PART BASED ON THE INFORMATION THAT IS PRESENTED IN THE SITE.\n(D) TO THE FULLEST EXTENT PERMISSIBLE BY APPLICABLE LAW, IN NO EVENT SHALL TURNER, BE LIABLE TO YOU FOR ANY PERSONAL INJURY, PROPERTY DAMAGE, LOST PROFITS, COST OF SUBSTITUTE GOODS OR SERVICES, LOSS OF DATA, LOSS OF GOODWILL, WORK STOPPAGE, COMPUTER AND/OR DEVICE OR TECHNOLOGY FAILURE OR MALFUNCTION OR FOR ANY FORM OF DIRECT OR INDIRECT, SPECIAL, INCIDENTAL, CONSEQUENTIAL, EXEMPLARY OR PUNITIVE DAMAGES BASED ON ANY CAUSES OF ACTION ARISING OUT OF USE OF THE SITE OR ANY ALLEGED FAILURE OF PERFORMANCE, ERROR, OMISSION, INTERRUPTION, DELETION, DEFECT, OR DELAY IN SERVICE, OPERATION, OR TRANSMISSION OF THE SITES, OR ANY ALLEGED COMPUTER VIRUS, COMMUNICATION LINE FAILURE, THEFT OR DESTRUCTION OF PROPERTY, AND/OR UNAUTHORIZED ACCESS TO, ALTERATION OF, OR USE OF OR POSTING OF ANY RECORD, CONTENT, OR TECHNOLOGY, PERTAINING TO OR ON THE SITES. YOU AGREE THAT THIS LIMITATION OF LIABILITY APPLIES WHEHER SUCH ALLEGATIONS ARE FOR BREACH OF CONTRACT, TORTIOUS BEHAVIOR, NEGLIGENCE, OR FALL UNDER ANY OTHER CAUSE OF ACTION, REGARDLESS OF THE BASIS UPON WHICH LIABILITY IS CLAIMED AND EVEN IF TURNER HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH LOSS OR DAMAGE. WITHOUT LIMITING THE GENERALITY OF THE
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{"example_id": 1392, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1392\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: Section 160(g) is an odd starting point for oppugning the Board's new remedy. That subsection says nothing at all about remedies. And the new remedy does not “change” any liabilities or “excus[e]” any violations. Just the opposite: the Board explained that “a violation will be found for the refusal to provide information ....” J.A. 152. Appealing to generic “consequences” is no way to show that the Act forecloses a particular remedy.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1392_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1392, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1392\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: Section 160(g) is an odd starting point for oppugning the Board's new remedy. That subsection says nothing at all about remedies. And the new remedy does not “change” any liabilities or “excus[e]” any violations. Just the opposite: the Board explained that “a violation will be found for the refusal to provide information ....” J.A. 152. Appealing to generic “consequences” is no way to show that the Act forecloses a particular remedy.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1392_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1392_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Legal opinion section classification based on function: analysis sections apply law to facts and argue reasoning, often with critical commentary.\",\n \"source\": \"Common legal writing conventions (e.g., judicial opinions, legal analyses)\"\n },\n {\n \"rule\": \"Sections characterized by application of legal rules to specific facts, argumentative tone, and evaluation of parties' positions are classified as analysis.\",\n \"source\": \"Legal drafting guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text applies legal rules to the facts of the case or applies legal reasoning to the specific scenario.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text discusses Section 160(g) and the new remedy, applying the subsection's contents (or lack thereof) to argue against the remedy.\"\n },\n {\n \"element\": \"Text evaluates or critiques a party's argument.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text characterizes appealing to 'generic consequences' as 'no way to show that the Act forecloses a particular remedy', which is a critique of the appellant's argument.\"\n },\n {\n \"element\": \"Text presents a formal statement of the law without application to specific facts.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not state a general legal rule; it specifically references the facts of the case (the remedy and the statutory subsection).\"\n },\n {\n \"element\": \"Text states the final outcome or decision of the case.\",\n
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{"example_id": 1392, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1392\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: Section 160(g) is an odd starting point for oppugning the Board's new remedy. That subsection says nothing at all about remedies. And the new remedy does not “change” any liabilities or “excus[e]” any violations. Just the opposite: the Board explained that “a violation will be found for the refusal to provide information ....” J.A. 152. Appealing to generic “consequences” is no way to show that the Act forecloses a particular remedy.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1392_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1392_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Legal opinion section classification based on function: analysis sections apply law to facts and argue reasoning, often with critical commentary.\",\n \"source\": \"Common legal writing conventions (e.g., judicial opinions, legal analyses)\"\n },\n {\n \"rule\": \"Sections characterized by application of legal rules to specific facts, argumentative tone, and evaluation of parties' positions are classified as analysis.\",\n \"source\": \"Legal drafting guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text applies legal rules to the facts of the case or applies legal reasoning to the specific scenario.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text discusses Section 160(g) and the new remedy, applying the subsection's contents (or lack thereof) to argue against the remedy.\"\n },\n {\n \"element\": \"Text evaluates or critiques a party's argument.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text characterizes appealing to 'generic consequences' as 'no way to show that the Act forecloses a particular remedy', which is a critique of the appellant's argument.\"\n },\n {\n \"element\": \"Text presents a formal statement of the law without application to specific facts.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not state a general legal rule; it specifically references the facts of the case (the remedy and the statutory subsection).\"\n },\n {\n \"element\": \"Text states the final outcome or decision of the case.\",\n
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{"example_id": 1591, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1591\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: “The Game of Life” is a classic family board game, introduced in 1960 by the Milton Bradley Company to great success. This case involves a long-running dispute between Rueben Klamer, a toy developer who came up with the initial concept of the game, and Bill Markham, a game designer whom Klamer approached to design and create the actual game prototype. Eventually, their dispute (which now involves various assignees, heirs, and successors-in-interest) reduced to one primary issue: whether the game qualified as a “work for hire” under the Copyright Act of 1909. If it did, Markham's successors-in-interest would not possess the termination rights that would allow them to reassert control over the copyright in the game. After considering the evidence produced at a bench trial, the district court concluded that the game was, indeed, such a work. Plaintiff-appellants, who all trace their interest in the game to Markham, challenge that determination. We affirm.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1591_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1591, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1591\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: “The Game of Life” is a classic family board game, introduced in 1960 by the Milton Bradley Company to great success. This case involves a long-running dispute between Rueben Klamer, a toy developer who came up with the initial concept of the game, and Bill Markham, a game designer whom Klamer approached to design and create the actual game prototype. Eventually, their dispute (which now involves various assignees, heirs, and successors-in-interest) reduced to one primary issue: whether the game qualified as a “work for hire” under the Copyright Act of 1909. If it did, Markham's successors-in-interest would not possess the termination rights that would allow them to reassert control over the copyright in the game. After considering the evidence produced at a bench trial, the district court concluded that the game was, indeed, such a work. Plaintiff-appellants, who all trace their interest in the game to Markham, challenge that determination. We affirm.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1591_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1591_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Board game 'The Game of Life' dispute between Rueben Klamer and Bill Markham\",\n \"Question whether the game is a 'work for hire' under the Copyright Act of 1909\",\n \"District court concluded it was a work for hire\",\n \"Plaintiff-appellants challenge that determination\",\n \"Appeal is affirmed by the court of appeals\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text describes factual background or procedural history\",\n \"Whether the text presents a legal question or issue\",\n \"Whether the text contains a court's reasoning or analysis\",\n \"Whether the text states the outcome or decree\",\n \"Whether the text articulates a legal rule or standard\"\n ],\n \"knowledge_slots\": [\n \"Legal document sections: Facts, Issue, Procedural History, Analysis, Conclusion, Decree, Rule\",\n \"Work for hire doctrine under Copyright Act of 1909\",\n \"Standard of review for work for hire determinations\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\"
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{"example_id": 2618, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2618\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Your Google Account\nIf you meet these age requirements you can create a Google Account for your convenience. Some services require that you have a Google Account in order to work for example, to use Gmail, you need a Google Account so that you have a place to send and receive your email.\nYoure responsible for what you do with your Google Account, including taking reasonable steps to keep your Google Account secure, and we encourage you to regularly use the Security Check-Up.\n\nUsing Google services on behalf of an organisation\nMany organisations, such as businesses, non-profits and schools, take advantage of our services. To use our services on behalf of an organisation:\nan authorised representative of that organisation must agree to these terms\nyour organisations administrator may assign a Google Account to you. That administrator might require you to follow additional rules and may be able to access or disable your Google Account.\n\nService-related communications\nTo provide you with our services, we sometimes send you service announcements and other information. To learn more about how we communicate with you, see Googles Privacy Policy.\nIf you choose to give us feedback, such as suggestions to improve our services, we may act on your feedback without obligation to you.\nquestion: Will Google be responsible for something bad that happens to me because I failed to keep my Google account secure?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2618_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2618, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2618\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Your Google Account\nIf you meet these age requirements you can create a Google Account for your convenience. Some services require that you have a Google Account in order to work for example, to use Gmail, you need a Google Account so that you have a place to send and receive your email.\nYoure responsible for what you do with your Google Account, including taking reasonable steps to keep your Google Account secure, and we encourage you to regularly use the Security Check-Up.\n\nUsing Google services on behalf of an organisation\nMany organisations, such as businesses, non-profits and schools, take advantage of our services. To use our services on behalf of an organisation:\nan authorised representative of that organisation must agree to these terms\nyour organisations administrator may assign a Google Account to you. That administrator might require you to follow additional rules and may be able to access or disable your Google Account.\n\nService-related communications\nTo provide you with our services, we sometimes send you service announcements and other information. To learn more about how we communicate with you, see Googles Privacy Policy.\nIf you choose to give us feedback, such as suggestions to improve our services, we may act on your feedback without obligation to you.\nquestion: Will Google be responsible for something bad that happens to me because I failed to keep my Google account secure?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2618_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2618_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"User created a Google Account for convenience\",\n \"Some services require a Google Account to function (e.g., Gmail)\",\n \"User is responsible for keeping their Google Account secure\",\n \"Google encourages using Security Check-Up\",\n \"Question asks if Google is responsible for harm from failure to keep account secure\"\n ],\n \"task_type\": \"other\",\n \"decision_factors\": [\n \"Contract states user responsible for secure use\",\n \"Contract does not mention liability for user's own negligence\",\n \"Google may not be responsible for user's actions or omissions\",\n \"Terms encourage user to take reasonable steps to protect account\"\n ],\n \"knowledge_slots\": [\n \"Contractual liability for user's own actions\",\n \"Indemnification clauses in typical terms of se
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{"example_id": 25, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 25\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"Entitle\" means \"to give… a title, right, or claim to something.\" Random House Dictionary of the English Language 649 (2d ed. 1987). See also Black's Law Dictionary 477 (5th ed. 1979) (\"to give a right or legal title to\").\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_25_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 25, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 25\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"Entitle\" means \"to give… a title, right, or claim to something.\" Random House Dictionary of the English Language 649 (2d ed. 1987). See also Black's Law Dictionary 477 (5th ed. 1979) (\"to give a right or legal title to\").\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_25_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_25_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides two dictionary definitions of the word 'Entitle'\",\n \"First from Random House Dictionary, second from Black's Law Dictionary\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states the meaning of a term\",\n \"Whether the text cites authoritative sources for the meaning\",\n \"Whether the text is structured as a definition (e.g., 'X means Y')\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: determining if a text defines a term\",\n \"Legal dictionaries often provide precise definitions\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not clearly define a term or is ambiguous\",\n \"Text is descriptive but not a direct definition\"\n ],\n \"less_relevant_if\": [\n \"Text explicitly states 'means' and cites dictionary sources\",\n \"Text provides a standard definition of a word\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text includes a definition-like structure (e.g., 'X means Y')\",\n \"Text quotes dictionary definitions\"\n ],\n \"less_relevant_if\": [\n \"Text is purely historical or contextual without defining\",\n \"Text is ambiguous about whether it is a definition\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2805, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2805\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Disclaimers\nAPPLE DOES NOT PROMISE THAT THE SITE OR ANY CONTENT, SERVICE OR FEATURE OF THE SITE WILL BE ERROR-FREE OR UNINTERRUPTED, OR THAT ANY DEFECTS WILL BE CORRECTED, OR THAT YOUR USE OF THE SITE WILL PROVIDE SPECIFIC RESULTS. THE SITE AND ITS CONTENT ARE DELIVERED ON AN \"AS-IS\" AND \"AS-AVAILABLE\" BASIS. ALL INFORMATION PROVIDED ON THE SITE IS SUBJECT TO CHANGE WITHOUT NOTICE. APPLE CANNOT ENSURE THAT ANY FILES OR OTHER DATA YOU DOWNLOAD FROM THE SITE WILL BE FREE OF VIRUSES OR CONTAMINATION OR DESTRUCTIVE FEATURES. APPLE DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING ANY WARRANTIES OF ACCURACY, NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. APPLE DISCLAIMS ANY AND ALL LIABILITY FOR THE ACTS, OMISSIONS AND CONDUCT OF ANY THIRD PARTIES IN CONNECTION WITH OR RELATED TO YOUR USE OF THE SITE AND/OR ANY APPLE SERVICES. YOU ASSUME TOTAL RESPONSIBILITY FOR YOUR USE OF THE SITE AND ANY LINKED SITES. YOUR SOLE REMEDY AGAINST APPLE FOR DISSATISFACTION WITH THE SITE OR ANY CONTENT IS TO STOP USING THE SITE OR ANY SUCH CONTENT. THIS LIMITATION OF RELIEF IS A PART OF THE BARGAIN BETWEEN THE PARTIES.\n\nThe above disclaimer applies to any damages, liability or injuries caused by any failure of performance, error, omission, interruption, deletion, defect, delay in operation or transmission, computer virus, communication line failure, theft or destruction of or unauthorized access to, alteration of, or use, whether for breach of contract, tort, negligence or any other cause of action.\n\nApple reserves the right to do any of the following, at any time, without notice: (1) to modify, suspend or terminate operation of or access to the Site, or any portion of the Site, for any reason; (2) to modify or change the Site, or any portion of the Site, and any applicable policies or terms; and (3) to interrupt the operation of the Site, or any portion of the Site, as necessary to perform routine or non-routine maintenance, error correction, or other changes.\n\nLimitation of Liability\nExcept where prohibited by law, in no event will Apple be liable to you for any indirect, consequential, exemplary, incidental or punitive damages, including lost profits, even if Apple has been advised of the possibility of such damages.\n\nIf, notwithstanding the other provisions of these Terms of Use, Apple is found to be liable to you for any damage or loss which arises out of or is in any way connected with your use of the Site or any Content, Apples liability shall in no event exceed the greater of (1) the total of any subscription or similar fees with respect to any service or feature of or on the Site paid in the six months prior to the date of the initial claim made against Apple (but no
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{"example_id": 2805, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2805\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Disclaimers\nAPPLE DOES NOT PROMISE THAT THE SITE OR ANY CONTENT, SERVICE OR FEATURE OF THE SITE WILL BE ERROR-FREE OR UNINTERRUPTED, OR THAT ANY DEFECTS WILL BE CORRECTED, OR THAT YOUR USE OF THE SITE WILL PROVIDE SPECIFIC RESULTS. THE SITE AND ITS CONTENT ARE DELIVERED ON AN \"AS-IS\" AND \"AS-AVAILABLE\" BASIS. ALL INFORMATION PROVIDED ON THE SITE IS SUBJECT TO CHANGE WITHOUT NOTICE. APPLE CANNOT ENSURE THAT ANY FILES OR OTHER DATA YOU DOWNLOAD FROM THE SITE WILL BE FREE OF VIRUSES OR CONTAMINATION OR DESTRUCTIVE FEATURES. APPLE DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING ANY WARRANTIES OF ACCURACY, NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. APPLE DISCLAIMS ANY AND ALL LIABILITY FOR THE ACTS, OMISSIONS AND CONDUCT OF ANY THIRD PARTIES IN CONNECTION WITH OR RELATED TO YOUR USE OF THE SITE AND/OR ANY APPLE SERVICES. YOU ASSUME TOTAL RESPONSIBILITY FOR YOUR USE OF THE SITE AND ANY LINKED SITES. YOUR SOLE REMEDY AGAINST APPLE FOR DISSATISFACTION WITH THE SITE OR ANY CONTENT IS TO STOP USING THE SITE OR ANY SUCH CONTENT. THIS LIMITATION OF RELIEF IS A PART OF THE BARGAIN BETWEEN THE PARTIES.\n\nThe above disclaimer applies to any damages, liability or injuries caused by any failure of performance, error, omission, interruption, deletion, defect, delay in operation or transmission, computer virus, communication line failure, theft or destruction of or unauthorized access to, alteration of, or use, whether for breach of contract, tort, negligence or any other cause of action.\n\nApple reserves the right to do any of the following, at any time, without notice: (1) to modify, suspend or terminate operation of or access to the Site, or any portion of the Site, for any reason; (2) to modify or change the Site, or any portion of the Site, and any applicable policies or terms; and (3) to interrupt the operation of the Site, or any portion of the Site, as necessary to perform routine or non-routine maintenance, error correction, or other changes.\n\nLimitation of Liability\nExcept where prohibited by law, in no event will Apple be liable to you for any indirect, consequential, exemplary, incidental or punitive damages, including lost profits, even if Apple has been advised of the possibility of such damages.\n\nIf, notwithstanding the other provisions of these Terms of Use, Apple is found to be liable to you for any damage or loss which arises out of or is in any way connected with your use of the Site or any Content, Apples liability shall in no event exceed the greater of (1) the total of any subscription or similar fees with respect to any service or feature of or on the Site paid in the six months prior to the date of the initial claim made against Apple (but no
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{"example_id": 2805, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2805\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Disclaimers\nAPPLE DOES NOT PROMISE THAT THE SITE OR ANY CONTENT, SERVICE OR FEATURE OF THE SITE WILL BE ERROR-FREE OR UNINTERRUPTED, OR THAT ANY DEFECTS WILL BE CORRECTED, OR THAT YOUR USE OF THE SITE WILL PROVIDE SPECIFIC RESULTS. THE SITE AND ITS CONTENT ARE DELIVERED ON AN \"AS-IS\" AND \"AS-AVAILABLE\" BASIS. ALL INFORMATION PROVIDED ON THE SITE IS SUBJECT TO CHANGE WITHOUT NOTICE. APPLE CANNOT ENSURE THAT ANY FILES OR OTHER DATA YOU DOWNLOAD FROM THE SITE WILL BE FREE OF VIRUSES OR CONTAMINATION OR DESTRUCTIVE FEATURES. APPLE DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING ANY WARRANTIES OF ACCURACY, NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. APPLE DISCLAIMS ANY AND ALL LIABILITY FOR THE ACTS, OMISSIONS AND CONDUCT OF ANY THIRD PARTIES IN CONNECTION WITH OR RELATED TO YOUR USE OF THE SITE AND/OR ANY APPLE SERVICES. YOU ASSUME TOTAL RESPONSIBILITY FOR YOUR USE OF THE SITE AND ANY LINKED SITES. YOUR SOLE REMEDY AGAINST APPLE FOR DISSATISFACTION WITH THE SITE OR ANY CONTENT IS TO STOP USING THE SITE OR ANY SUCH CONTENT. THIS LIMITATION OF RELIEF IS A PART OF THE BARGAIN BETWEEN THE PARTIES.\n\nThe above disclaimer applies to any damages, liability or injuries caused by any failure of performance, error, omission, interruption, deletion, defect, delay in operation or transmission, computer virus, communication line failure, theft or destruction of or unauthorized access to, alteration of, or use, whether for breach of contract, tort, negligence or any other cause of action.\n\nApple reserves the right to do any of the following, at any time, without notice: (1) to modify, suspend or terminate operation of or access to the Site, or any portion of the Site, for any reason; (2) to modify or change the Site, or any portion of the Site, and any applicable policies or terms; and (3) to interrupt the operation of the Site, or any portion of the Site, as necessary to perform routine or non-routine maintenance, error correction, or other changes.\n\nLimitation of Liability\nExcept where prohibited by law, in no event will Apple be liable to you for any indirect, consequential, exemplary, incidental or punitive damages, including lost profits, even if Apple has been advised of the possibility of such damages.\n\nIf, notwithstanding the other provisions of these Terms of Use, Apple is found to be liable to you for any damage or loss which arises out of or is in any way connected with your use of the Site or any Content, Apples liability shall in no event exceed the greater of (1) the total of any subscription or similar fees with respect to any service or feature of or on the Site paid in the six months prior to the date of the initial claim made against Apple (but no
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{"example_id": 2112, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2112\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To prohibit entities from requiring individuals to submit to arbitration for disputes arising from a security breach, and for other purposes.\nbill_summary: Ending Forced Arbitration for Victims of Data Breaches Act of 2019\n\nThis bill prohibits an entity from requiring, as part of a customer agreement or other similar agreement, that an individual agree to submit to arbitration a dispute related to a security breach. With respect to this prohibition, the bill establishes a private right to action as well as provides for enforcement by the Federal Trade Commission and by states.\ncompany_name: Chase Corp.\ncompany_description: Item 1 – Busines s Primary Operating Divisions and Facilities and Industry Segments Chase Corporation, a global specialty chemicals company founded in 1946, is a leading manufacturer of protective materials for high-reliability applications. The segments are distinguished by the nature of the products we manufacture and how they are delivered to their respective markets. The Industrial Materials segment includes specified products that are used in, or integrated into, another company's product, with demand typically dependent upon general economic conditions. The Construction Materials segment is principally composed of project-oriented product offerings that are primarily sold and used as \"Chase\" branded products. Our manufacturing facilities are distinct to their respective segments with the exception of our O'Hara Township, PA and Blawnox, PA facilities, which produce products related to both operating segments. Background/History Specialty tapes and related products for the electronic and telecommunications industries using the brand name Chase & Sons®. Insulating and conducting materials for the manufacture of electrical and telephone wire and cable, electrical splicing, and terminating and repair tapes, which are marketed to wire and cable manufacturers selling into energy-oriented and communication markets, and to public utilities. PaperTyger®, a trademark for laminated durable papers sold to the envelope converting and commercial printing industries. In August 2011, we relocated our manufacturing processes that had been previously conducted at our Webster, MA facility to this location. In December 2012, we relocated the majority of our manufacturing processes that had been previously conducted at our Randolph, MA facility to this location. Our Randolph facility was one of our first operating facilities, and had been producing products for the wire and cable industry for more than fifty years. Chase BLH2OCK®, a water-blocking compound sold to the wire and cable industry. In September 2012, we relocated our Chase BLH2OCK® manufacturing processes that had b
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{"example_id": 2112, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2112\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To prohibit entities from requiring individuals to submit to arbitration for disputes arising from a security breach, and for other purposes.\nbill_summary: Ending Forced Arbitration for Victims of Data Breaches Act of 2019\n\nThis bill prohibits an entity from requiring, as part of a customer agreement or other similar agreement, that an individual agree to submit to arbitration a dispute related to a security breach. With respect to this prohibition, the bill establishes a private right to action as well as provides for enforcement by the Federal Trade Commission and by states.\ncompany_name: Chase Corp.\ncompany_description: Item 1 – Busines s Primary Operating Divisions and Facilities and Industry Segments Chase Corporation, a global specialty chemicals company founded in 1946, is a leading manufacturer of protective materials for high-reliability applications. The segments are distinguished by the nature of the products we manufacture and how they are delivered to their respective markets. The Industrial Materials segment includes specified products that are used in, or integrated into, another company's product, with demand typically dependent upon general economic conditions. The Construction Materials segment is principally composed of project-oriented product offerings that are primarily sold and used as \"Chase\" branded products. Our manufacturing facilities are distinct to their respective segments with the exception of our O'Hara Township, PA and Blawnox, PA facilities, which produce products related to both operating segments. Background/History Specialty tapes and related products for the electronic and telecommunications industries using the brand name Chase & Sons®. Insulating and conducting materials for the manufacture of electrical and telephone wire and cable, electrical splicing, and terminating and repair tapes, which are marketed to wire and cable manufacturers selling into energy-oriented and communication markets, and to public utilities. PaperTyger®, a trademark for laminated durable papers sold to the envelope converting and commercial printing industries. In August 2011, we relocated our manufacturing processes that had been previously conducted at our Webster, MA facility to this location. In December 2012, we relocated the majority of our manufacturing processes that had been previously conducted at our Randolph, MA facility to this location. Our Randolph facility was one of our first operating facilities, and had been producing products for the wire and cable industry for more than fifty years. Chase BLH2OCK®, a water-blocking compound sold to the wire and cable industry. In September 2012, we relocated our Chase BLH2OCK® manufacturing processes that had b
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{"example_id": 2112, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2112\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To prohibit entities from requiring individuals to submit to arbitration for disputes arising from a security breach, and for other purposes.\nbill_summary: Ending Forced Arbitration for Victims of Data Breaches Act of 2019\n\nThis bill prohibits an entity from requiring, as part of a customer agreement or other similar agreement, that an individual agree to submit to arbitration a dispute related to a security breach. With respect to this prohibition, the bill establishes a private right to action as well as provides for enforcement by the Federal Trade Commission and by states.\ncompany_name: Chase Corp.\ncompany_description: Item 1 – Busines s Primary Operating Divisions and Facilities and Industry Segments Chase Corporation, a global specialty chemicals company founded in 1946, is a leading manufacturer of protective materials for high-reliability applications. The segments are distinguished by the nature of the products we manufacture and how they are delivered to their respective markets. The Industrial Materials segment includes specified products that are used in, or integrated into, another company's product, with demand typically dependent upon general economic conditions. The Construction Materials segment is principally composed of project-oriented product offerings that are primarily sold and used as \"Chase\" branded products. Our manufacturing facilities are distinct to their respective segments with the exception of our O'Hara Township, PA and Blawnox, PA facilities, which produce products related to both operating segments. Background/History Specialty tapes and related products for the electronic and telecommunications industries using the brand name Chase & Sons®. Insulating and conducting materials for the manufacture of electrical and telephone wire and cable, electrical splicing, and terminating and repair tapes, which are marketed to wire and cable manufacturers selling into energy-oriented and communication markets, and to public utilities. PaperTyger®, a trademark for laminated durable papers sold to the envelope converting and commercial printing industries. In August 2011, we relocated our manufacturing processes that had been previously conducted at our Webster, MA facility to this location. In December 2012, we relocated the majority of our manufacturing processes that had been previously conducted at our Randolph, MA facility to this location. Our Randolph facility was one of our first operating facilities, and had been producing products for the wire and cable industry for more than fifty years. Chase BLH2OCK®, a water-blocking compound sold to the wire and cable industry. In September 2012, we relocated our Chase BLH2OCK® manufacturing processes that had b
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{"example_id": 1873, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1873\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the assessment of the Appellant as a director of Foxtrot Communications Ltd. (Company), raised May 22, 2015 under the federal Income Tax Act (ITA) for non-remittance by the Company of employees federal and provincial income taxes during the Companys 2009, 2010, 2011 and 2012 taxation years is dismissed, without costs, in accordance with the attached reasons for judgment.\nSigned at Ottawa, Canada, this 28th day of February 2018.\nB. Russell\nRussell J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1873_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1873, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1873\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the assessment of the Appellant as a director of Foxtrot Communications Ltd. (Company), raised May 22, 2015 under the federal Income Tax Act (ITA) for non-remittance by the Company of employees federal and provincial income taxes during the Companys 2009, 2010, 2011 and 2012 taxation years is dismissed, without costs, in accordance with the attached reasons for judgment.\nSigned at Ottawa, Canada, this 28th day of February 2018.\nB. Russell\nRussell J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1873_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1873_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeal from assessment of Appellant as director of Foxtrot Communications Ltd.\",\n \"Under the federal Income Tax Act for non-remittance of employees' federal and provincial income taxes for years 2009-2012.\",\n \"Appeal raised May 22, 2015.\",\n \"Judgment signed February 28, 2018 by Russell J.\",\n \"The judgment states: 'appeal ... is dismissed, without costs'.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Explicit outcome language in the text: 'dismissed'.\",\n \"Absence of outcome language such as 'allowed' or 'granted'.\",\n \"The text is a court judgment summary.\"\n ],\n \"knowledge_slots\": [\n \"In Canadian tax court, 'dismissed' means the appeal was rejected.\",\n \"Standard wording for outcome in judicial decisions.\",\n \"Federal Income Tax Act appeal procedures.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"text contains outcome language indicating the appeal was granted or allowed.\"],\n \"less_relevant_if\": [\"text contains outcome language indicating dismissal or denial.\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"text contains outcome language indicating the appeal was dismissed.\"],\n \"less_relevant_if\": [\"text contains outcome language indicating allowance or other result.\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"text lacks explicit outcome language or is incomplete.\"],\n \"less_relevant_if\": [\"text clearly states an outcome such as 'dismissed' or 'allowed'.\"]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assista
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{"example_id": 2567, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2567\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Updates to the Services or Software, and Changes to These Terms.\na. We may change these Terms at any time, and well tell you when we do. Using the Services after the changes become effective means you agree to the new terms. If you dont agree to the new terms, you must stop using the Services, close your Microsoft account and, if you are a parent or guardian, help your minor child close his or her Microsoft account.\nb. Sometimes youll need software updates to keep using the Services. We may automatically check your version of the software and download software updates or configuration changes. You may also be required to update the software to continue using the Services. Such updates are subject to these Terms unless other terms accompany the updates, in which case, those other terms apply. Microsoft isnt obligated to make any updates available and we dont guarantee that we will support the version of the system or device for which you purchased or licensed the software, apps, content or other products.\nc. Additionally, there may be times when we need to remove or change features or functionality of the Service or stop providing a Service or access to Third-Party Apps and Services altogether. Except to the extent required by applicable law, we have no obligation to provide a re-download or replacement of any material, Digital Goods (defined in section 14.k), or applications previously purchased. We may release the Services or their features in a preview or beta version, which may not work correctly or in the same way the final version may work.\nd. So that you can use material protected with digital rights management (DRM), like some music, games, movies, books and more, DRM software may automatically contact an online rights server and download and install DRM updates.\nquestion: Does Microsoft undertake to inform users of all changes to the terms?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2567_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2567, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2567\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Updates to the Services or Software, and Changes to These Terms.\na. We may change these Terms at any time, and well tell you when we do. Using the Services after the changes become effective means you agree to the new terms. If you dont agree to the new terms, you must stop using the Services, close your Microsoft account and, if you are a parent or guardian, help your minor child close his or her Microsoft account.\nb. Sometimes youll need software updates to keep using the Services. We may automatically check your version of the software and download software updates or configuration changes. You may also be required to update the software to continue using the Services. Such updates are subject to these Terms unless other terms accompany the updates, in which case, those other terms apply. Microsoft isnt obligated to make any updates available and we dont guarantee that we will support the version of the system or device for which you purchased or licensed the software, apps, content or other products.\nc. Additionally, there may be times when we need to remove or change features or functionality of the Service or stop providing a Service or access to Third-Party Apps and Services altogether. Except to the extent required by applicable law, we have no obligation to provide a re-download or replacement of any material, Digital Goods (defined in section 14.k), or applications previously purchased. We may release the Services or their features in a preview or beta version, which may not work correctly or in the same way the final version may work.\nd. So that you can use material protected with digital rights management (DRM), like some music, games, movies, books and more, DRM software may automatically contact an online rights server and download and install DRM updates.\nquestion: Does Microsoft undertake to inform users of all changes to the terms?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2567_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2567_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Contract states: 'We may change these Terms at any time, and we'll tell you when we do.'\",\n \"Using Services after changes become effective means agreement to new terms.\",\n \"If user does not agree, must stop using Services and close account.\"\n ],\n \"task_type\": \"contract_interpretation\",\n \"decision_factors\": [\n \"Whether the contra
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{"example_id": 1981, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1981\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide better care and outcomes for Americans living with Alzheimer's disease and related dementias and their caregivers while accelerating progress toward prevention strategies, disease modifying treatments, and, ultimately, a cure.\nbill_summary: Concentrating on High-value Alzheimer's Needs to Get to an End Act of 2019 or the CHANGE Act of 2019 This bill modifies the requirements under Medicare for diagnosing and treating Alzheimer's disease and other cognitive impairments in older adults. Specifically, the bill expands the cognitive impairment detection benefit during annual wellness visits to require the use of validated detection tools and documentation of the results in the patient's medical record. Further, when a cognitive impairment is detected, the patient must be referred to an appropriate diagnostic service provider and other specified supports. Additionally, the Centers for Medicare and Medicaid Services must implement Medicare policies that increase the identification and response to patients' Alzheimer's disease risk factors and incentivize providers to utilize high-quality cognitive impairment diagnosis practices. The Government Accountability Office also must conduct a study of policies that may accelerate progress in Alzheimer's disease research and enhance the quality of care for individuals diagnosed with Alzheimer's disease.\ncompany_name: Adamas Pharmaceuticals, Inc.\ncompany_description: At Adamas Pharmaceuticals, Inc., we seek to redefine the treatment experience for patients suffering from chronic neurological diseases. Our vision is grand, our goal bold: to create and commercialize a new generation of medicines intended to lessen the burden of disease on patients, caregivers and society. With a new commercial medicine and robust pipeline of investigational programs focused on meaningfully differentiated treatment options for patients, we believe we are well on our way. Our therapeutic targets include a broad range of neurologic diseases, including Parkinson's disease, multiple sclerosis, epilepsy and Alzheimer's disease. Our treatment innovations stem from a deep scientific understanding of time-dependent biology – the deliberate mapping of disease patterns and drug activity – along with a goal to meaningfully increase the efficacy of known molecules without compromising tolerability. This approach is designed to ensure that our medicines fit within, rather than define, people's daily lives. Our goal is to develop medicines that are timed for the benefit of patients. Our understanding of time-dependent biological processes informs our every innovation, targeting advancement in treatment of chronic neurologic disorders. (amantadine) extended release capsules, f
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{"example_id": 1981, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1981\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide better care and outcomes for Americans living with Alzheimer's disease and related dementias and their caregivers while accelerating progress toward prevention strategies, disease modifying treatments, and, ultimately, a cure.\nbill_summary: Concentrating on High-value Alzheimer's Needs to Get to an End Act of 2019 or the CHANGE Act of 2019 This bill modifies the requirements under Medicare for diagnosing and treating Alzheimer's disease and other cognitive impairments in older adults. Specifically, the bill expands the cognitive impairment detection benefit during annual wellness visits to require the use of validated detection tools and documentation of the results in the patient's medical record. Further, when a cognitive impairment is detected, the patient must be referred to an appropriate diagnostic service provider and other specified supports. Additionally, the Centers for Medicare and Medicaid Services must implement Medicare policies that increase the identification and response to patients' Alzheimer's disease risk factors and incentivize providers to utilize high-quality cognitive impairment diagnosis practices. The Government Accountability Office also must conduct a study of policies that may accelerate progress in Alzheimer's disease research and enhance the quality of care for individuals diagnosed with Alzheimer's disease.\ncompany_name: Adamas Pharmaceuticals, Inc.\ncompany_description: At Adamas Pharmaceuticals, Inc., we seek to redefine the treatment experience for patients suffering from chronic neurological diseases. Our vision is grand, our goal bold: to create and commercialize a new generation of medicines intended to lessen the burden of disease on patients, caregivers and society. With a new commercial medicine and robust pipeline of investigational programs focused on meaningfully differentiated treatment options for patients, we believe we are well on our way. Our therapeutic targets include a broad range of neurologic diseases, including Parkinson's disease, multiple sclerosis, epilepsy and Alzheimer's disease. Our treatment innovations stem from a deep scientific understanding of time-dependent biology – the deliberate mapping of disease patterns and drug activity – along with a goal to meaningfully increase the efficacy of known molecules without compromising tolerability. This approach is designed to ensure that our medicines fit within, rather than define, people's daily lives. Our goal is to develop medicines that are timed for the benefit of patients. Our understanding of time-dependent biological processes informs our every innovation, targeting advancement in treatment of chronic neurologic disorders. (amantadine) extended release capsules, f
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{"example_id": 2815, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2815\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Permissions You Give to Us. As part of our agreement, you also give us permissions that we need to provide the Service.\nWe do not claim ownership of your content, but you grant us a license to use it.\nNothing is changing about your rights in your content. We do not claim ownership of your content that you post on or through the Service and you are free to share your content with anyone else, wherever you want. However, we need certain legal permissions from you (known as a license) to provide the Service. When you share, post, or upload content that is covered by intellectual property rights (like photos or videos) on or in connection with our Service, you hereby grant to us a non-exclusive, royalty-free, transferable, sub-licensable, worldwide license to host, use, distribute, modify, run, copy, publicly perform or display, translate, and create derivative works of your content (consistent with your privacy and application settings). This license will end when your content is deleted from our systems. You can delete content individually or all at once by deleting your account. To learn more about how we use information, and how to control or delete your content, review the Data Policy and visit the Instagram Help Center.\nPermission to use your username, profile picture, and information about your relationships and actions with accounts, ads, and sponsored content.\nYou give us permission to show your username, profile picture, and information about your actions (such as likes) or relationships (such as follows) next to or in connection with accounts, ads, offers, and other sponsored content that you follow or engage with that are displayed on Facebook Products, without any compensation to you. For example, we may show that you liked a sponsored post created by a brand that has paid us to display its ads on Instagram. As with actions on other content and follows of other accounts, actions on sponsored content and follows of sponsored accounts can be seen only by people who have permission to see that content or follow. We will also respect your ad settings. You can learn more here about your ad settings.\nYou agree that we can download and install updates to the Service on your device.\nquestion: Does Instagram become the owner of content that I post on Instagram?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2815_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 2815, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2815\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Permissions You Give to Us. As part of our agreement, you also give us permissions that we need to provide the Service.\nWe do not claim ownership of your content, but you grant us a license to use it.\nNothing is changing about your rights in your content. We do not claim ownership of your content that you post on or through the Service and you are free to share your content with anyone else, wherever you want. However, we need certain legal permissions from you (known as a license) to provide the Service. When you share, post, or upload content that is covered by intellectual property rights (like photos or videos) on or in connection with our Service, you hereby grant to us a non-exclusive, royalty-free, transferable, sub-licensable, worldwide license to host, use, distribute, modify, run, copy, publicly perform or display, translate, and create derivative works of your content (consistent with your privacy and application settings). This license will end when your content is deleted from our systems. You can delete content individually or all at once by deleting your account. To learn more about how we use information, and how to control or delete your content, review the Data Policy and visit the Instagram Help Center.\nPermission to use your username, profile picture, and information about your relationships and actions with accounts, ads, and sponsored content.\nYou give us permission to show your username, profile picture, and information about your actions (such as likes) or relationships (such as follows) next to or in connection with accounts, ads, offers, and other sponsored content that you follow or engage with that are displayed on Facebook Products, without any compensation to you. For example, we may show that you liked a sponsored post created by a brand that has paid us to display its ads on Instagram. As with actions on other content and follows of other accounts, actions on sponsored content and follows of sponsored accounts can be seen only by people who have permission to see that content or follow. We will also respect your ad settings. You can learn more here about your ad settings.\nYou agree that we can download and install updates to the Service on your device.\nquestion: Does Instagram become the owner of content that I post on Instagram?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2815_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2815_1", "nam
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{"example_id": 2815, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2815\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Permissions You Give to Us. As part of our agreement, you also give us permissions that we need to provide the Service.\nWe do not claim ownership of your content, but you grant us a license to use it.\nNothing is changing about your rights in your content. We do not claim ownership of your content that you post on or through the Service and you are free to share your content with anyone else, wherever you want. However, we need certain legal permissions from you (known as a license) to provide the Service. When you share, post, or upload content that is covered by intellectual property rights (like photos or videos) on or in connection with our Service, you hereby grant to us a non-exclusive, royalty-free, transferable, sub-licensable, worldwide license to host, use, distribute, modify, run, copy, publicly perform or display, translate, and create derivative works of your content (consistent with your privacy and application settings). This license will end when your content is deleted from our systems. You can delete content individually or all at once by deleting your account. To learn more about how we use information, and how to control or delete your content, review the Data Policy and visit the Instagram Help Center.\nPermission to use your username, profile picture, and information about your relationships and actions with accounts, ads, and sponsored content.\nYou give us permission to show your username, profile picture, and information about your actions (such as likes) or relationships (such as follows) next to or in connection with accounts, ads, offers, and other sponsored content that you follow or engage with that are displayed on Facebook Products, without any compensation to you. For example, we may show that you liked a sponsored post created by a brand that has paid us to display its ads on Instagram. As with actions on other content and follows of other accounts, actions on sponsored content and follows of sponsored accounts can be seen only by people who have permission to see that content or follow. We will also respect your ad settings. You can learn more here about your ad settings.\nYou agree that we can download and install updates to the Service on your device.\nquestion: Does Instagram become the owner of content that I post on Instagram?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2815_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2815_1", "nam
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{"example_id": 2009, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2009\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to significantly lower prescription drug prices for patients in the United States by ending government-granted monopolies for manufacturers who charge drug prices that are higher than the median prices at which the drugs are available in other countries.\nbill_summary: Prescription Drug Price Relief Act of 2019\n\nThis bill establishes a series of oversight and disclosure requirements relating to the prices of brand-name drugs. Specifically, the bill requires the Department of Health and Human Services (HHS) to review at least annually all brand-name drugs for excessive pricing; HHS must also review prices upon petition. If any such drugs are found to be excessively priced, HHS must (1) void any government-granted exclusivity; (2) issue open, nonexclusive licenses for the drugs; and (3) expedite the review of corresponding applications for generic drugs and biosimilar biological products. HHS must also create a public database with its determinations for each drug.\n\nUnder the bill, a price is considered excessive if the domestic average manufacturing price exceeds the median price for the drug in Canada, the United Kingdom, Germany, France, and Japan. If a price does not meet this criteria, or if pricing information is unavailable in at least three of the aforementioned countries, the price is still considered excessive if it is higher than reasonable in light of specified factors, including cost, revenue, and the size of the affected patient population.\n\nThe bill also requires drug manufacturers to report specified financial information for brand-name drugs, including research and advertising expenditures.\ncompany_name: Adaptimmune Therapeutics Plc\ncompany_description: We are a clinical-stage biopharmaceutical company focused on providing novel cell therapies to patients, particularly in solid tumors. (Specific Peptide Enhanced Affinity Receptor) T-cell platform enables us to identify cancer targets, find and genetically engineer T-cell receptors (TCRs), and produce therapeutic candidates for administration to patients. Using our affinity engineered TCRs, we aim to become a fully integrated cell therapy company and to be the first company to have a TCR T-cell approved for a solid tumor indication. We have four SPEAR T-cells in clinical trials, MAGE-A10, MAGE-A4, AFP and NY-ESO. Phase 1/2 clinical trials are ongoing in patients with various cancer tumor types including urothelial, melanoma, head and neck, ovarian, esophageal, gastric, multiple myeloma, hepatocellular cancers and in synovial sarcoma, myxoid round cell liposarcoma (MRCLS) and non small cell lung cancer (NSCLC). Our MAGE-A10 SPEAR T-cells have shown promising tolerability profiles with no evidence of off-t
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{"example_id": 2009, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2009\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to significantly lower prescription drug prices for patients in the United States by ending government-granted monopolies for manufacturers who charge drug prices that are higher than the median prices at which the drugs are available in other countries.\nbill_summary: Prescription Drug Price Relief Act of 2019\n\nThis bill establishes a series of oversight and disclosure requirements relating to the prices of brand-name drugs. Specifically, the bill requires the Department of Health and Human Services (HHS) to review at least annually all brand-name drugs for excessive pricing; HHS must also review prices upon petition. If any such drugs are found to be excessively priced, HHS must (1) void any government-granted exclusivity; (2) issue open, nonexclusive licenses for the drugs; and (3) expedite the review of corresponding applications for generic drugs and biosimilar biological products. HHS must also create a public database with its determinations for each drug.\n\nUnder the bill, a price is considered excessive if the domestic average manufacturing price exceeds the median price for the drug in Canada, the United Kingdom, Germany, France, and Japan. If a price does not meet this criteria, or if pricing information is unavailable in at least three of the aforementioned countries, the price is still considered excessive if it is higher than reasonable in light of specified factors, including cost, revenue, and the size of the affected patient population.\n\nThe bill also requires drug manufacturers to report specified financial information for brand-name drugs, including research and advertising expenditures.\ncompany_name: Adaptimmune Therapeutics Plc\ncompany_description: We are a clinical-stage biopharmaceutical company focused on providing novel cell therapies to patients, particularly in solid tumors. (Specific Peptide Enhanced Affinity Receptor) T-cell platform enables us to identify cancer targets, find and genetically engineer T-cell receptors (TCRs), and produce therapeutic candidates for administration to patients. Using our affinity engineered TCRs, we aim to become a fully integrated cell therapy company and to be the first company to have a TCR T-cell approved for a solid tumor indication. We have four SPEAR T-cells in clinical trials, MAGE-A10, MAGE-A4, AFP and NY-ESO. Phase 1/2 clinical trials are ongoing in patients with various cancer tumor types including urothelial, melanoma, head and neck, ovarian, esophageal, gastric, multiple myeloma, hepatocellular cancers and in synovial sarcoma, myxoid round cell liposarcoma (MRCLS) and non small cell lung cancer (NSCLC). Our MAGE-A10 SPEAR T-cells have shown promising tolerability profiles with no evidence of off-t
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{"example_id": 2009, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2009\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to significantly lower prescription drug prices for patients in the United States by ending government-granted monopolies for manufacturers who charge drug prices that are higher than the median prices at which the drugs are available in other countries.\nbill_summary: Prescription Drug Price Relief Act of 2019\n\nThis bill establishes a series of oversight and disclosure requirements relating to the prices of brand-name drugs. Specifically, the bill requires the Department of Health and Human Services (HHS) to review at least annually all brand-name drugs for excessive pricing; HHS must also review prices upon petition. If any such drugs are found to be excessively priced, HHS must (1) void any government-granted exclusivity; (2) issue open, nonexclusive licenses for the drugs; and (3) expedite the review of corresponding applications for generic drugs and biosimilar biological products. HHS must also create a public database with its determinations for each drug.\n\nUnder the bill, a price is considered excessive if the domestic average manufacturing price exceeds the median price for the drug in Canada, the United Kingdom, Germany, France, and Japan. If a price does not meet this criteria, or if pricing information is unavailable in at least three of the aforementioned countries, the price is still considered excessive if it is higher than reasonable in light of specified factors, including cost, revenue, and the size of the affected patient population.\n\nThe bill also requires drug manufacturers to report specified financial information for brand-name drugs, including research and advertising expenditures.\ncompany_name: Adaptimmune Therapeutics Plc\ncompany_description: We are a clinical-stage biopharmaceutical company focused on providing novel cell therapies to patients, particularly in solid tumors. (Specific Peptide Enhanced Affinity Receptor) T-cell platform enables us to identify cancer targets, find and genetically engineer T-cell receptors (TCRs), and produce therapeutic candidates for administration to patients. Using our affinity engineered TCRs, we aim to become a fully integrated cell therapy company and to be the first company to have a TCR T-cell approved for a solid tumor indication. We have four SPEAR T-cells in clinical trials, MAGE-A10, MAGE-A4, AFP and NY-ESO. Phase 1/2 clinical trials are ongoing in patients with various cancer tumor types including urothelial, melanoma, head and neck, ovarian, esophageal, gastric, multiple myeloma, hepatocellular cancers and in synovial sarcoma, myxoid round cell liposarcoma (MRCLS) and non small cell lung cancer (NSCLC). Our MAGE-A10 SPEAR T-cells have shown promising tolerability profiles with no evidence of off-t
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{"example_id": 1240, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1240\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee also id., at 241 (“[Tjhere is a gradation of offences of the same species” where the statute sets out “various degrees of punishment”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1240_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1240, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1240\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee also id., at 241 (“[Tjhere is a gradation of offences of the same species” where the statute sets out “various degrees of punishment”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1240_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1240_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal quote discussing gradation of offences and varying degrees of punishment\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches a given definition or category\",\n \"Presence of terms like 'gradation', 'offences', 'degrees of punishment'\",\n \"Context or definition that the text is being tested against\"\n ],\n \"knowledge_slots\": [\n \"Definition or criteria for classification in this LegalBench task\",\n \"Common legal concepts related to gradation of offences\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not fit the definition or category being tested\",\n \"Missing key elements required by the definition\"\n ],\n \"less_relevant_if\": [\n \"Text partially matches but does not fully satisfy the criteria\",\n \"Definition is broad enough to include the text\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text exemplifies the definition or category being tested\",\n \"Contains explicit mention of gradation and varying punishments which align with the definition\"\n ],\n \"less_relevant_if\": [\n \"Definition is narrow and text includes extraneous details\",\n \"Text is only a fragment or reference rather than a direct example\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or category that the text should be classified against\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1217, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1217\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA dismissive footnote, see ante, at 76-77, n. 4, cannot overcome these fundamental defects in the majority’s opinion.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1217_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1217, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1217\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA dismissive footnote, see ante, at 76-77, n. 4, cannot overcome these fundamental defects in the majority’s opinion.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1217_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1217_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal quote containing a dismissive footnote reference\",\n \"Footnote is cited from a prior opinion (ante) at pages 76-77, n. 4\",\n \"Text references 'fundamental defects' in a majority's opinion\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text is primarily an instance of a specific rhetorical device or concept\",\n \"Whether the text is more accurately described as an example of a 'dismissive footnote' construct\",\n \"Whether the text's meaning aligns with the intended classification label\"\n ],\n \"knowledge_slots\": [\n \"Legal writing: 'ante' refers to the prior opinion in a series\",\n \"Footnotes in legal arguments can be used dismissively\",\n \"Definition classification tasks require matching text to a predefined category\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not fit the specific definition being tested\",\n \"The classification is based on surface structure rather than rhetorical function\"\n ],\n \"less_relevant_if\": [\n \"The text is a clear exemplar of the definition\",\n \"The classification considers contextual meaning\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text matches the definition of a dismissive footnote citation\",\n \"The classification focuses on the argumentative role of the footnote\"\n ],\n \"less_relevant_if\": [\n \"The definition is narrower than the text's content\",\n \"The text includes additional critique beyond the footnote\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text should be classified against\",\n \"The intended category or label for the classification task\"\n ],\n \"format_confidence\": 0.85\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2062, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2062\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To improve the safety of the air supply on commercial aircraft, and for other purposes.\nbill_summary: Cabin Air Safety Act of 2019\n\nThis bill directs the Federal Aviation Administration (FAA) to implement regulations regarding smoke or fume incidents on commercial aircraft (excluding helicopters).\n\nSpecifically, the bill requires\n\n flight attendants, pilots, aircraft maintenance technicians, airport first responders, and emergency response teams to receive annual training on how to respond to incidents involving smoke or fumes on board commercial aircraft; the FAA to develop a standardized form for reporting incidents involving smoke or fumes; the FAA to conduct an investigation after a report is submitted about incidents of smoke or fumes; and commercial air carriers to install and operate onboard carbon monoxide detectors.\ncompany_name: Waters Corp.\ncompany_description: Business General Waters Corporation (the Company, we, our, or us) is a specialty measurement company that operates with a fundamental underlying purpose to advance the science that enables our customers to enhance human health and well-being. The Company has pioneered analytical workflow solutions involving liquid chromatography, mass spectrometry and thermal analysis innovations serving the life, materials and food sciences for more than 60 years. The Company primarily designs, manufactures, sells and services high performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC TM and together with HPLC, referred to as LC) and mass spectrometry (MS) technology systems and support products, including chromatography columns, other consumable products and comprehensive post-warranty service plans. These systems are complementary products that are frequently employed together (LC-MS) and sold as integrated instrument systems using common software platforms. In addition, the Company designs, manufactures, sells and services thermal analysis, rheometry and calorimetry instruments through its TA TM product line. The Company is also a developer and supplier of advanced software-based products that interface with the Companys instruments, as well as other manufacturers instruments. The Companys products are used by pharmaceutical, biochemical, industrial, nutritional safety, environmental, academic and governmental customers working in research and development, quality assurance and other laboratory applications. LC is a standard technique and is utilized in a broad range of industries to detect, identify, monitor and measure the chemical, physical and biological composition of materials, and to purify a full range of compounds. MS technology, principally in co
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{"example_id": 2062, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2062\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To improve the safety of the air supply on commercial aircraft, and for other purposes.\nbill_summary: Cabin Air Safety Act of 2019\n\nThis bill directs the Federal Aviation Administration (FAA) to implement regulations regarding smoke or fume incidents on commercial aircraft (excluding helicopters).\n\nSpecifically, the bill requires\n\n flight attendants, pilots, aircraft maintenance technicians, airport first responders, and emergency response teams to receive annual training on how to respond to incidents involving smoke or fumes on board commercial aircraft; the FAA to develop a standardized form for reporting incidents involving smoke or fumes; the FAA to conduct an investigation after a report is submitted about incidents of smoke or fumes; and commercial air carriers to install and operate onboard carbon monoxide detectors.\ncompany_name: Waters Corp.\ncompany_description: Business General Waters Corporation (the Company, we, our, or us) is a specialty measurement company that operates with a fundamental underlying purpose to advance the science that enables our customers to enhance human health and well-being. The Company has pioneered analytical workflow solutions involving liquid chromatography, mass spectrometry and thermal analysis innovations serving the life, materials and food sciences for more than 60 years. The Company primarily designs, manufactures, sells and services high performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC TM and together with HPLC, referred to as LC) and mass spectrometry (MS) technology systems and support products, including chromatography columns, other consumable products and comprehensive post-warranty service plans. These systems are complementary products that are frequently employed together (LC-MS) and sold as integrated instrument systems using common software platforms. In addition, the Company designs, manufactures, sells and services thermal analysis, rheometry and calorimetry instruments through its TA TM product line. The Company is also a developer and supplier of advanced software-based products that interface with the Companys instruments, as well as other manufacturers instruments. The Companys products are used by pharmaceutical, biochemical, industrial, nutritional safety, environmental, academic and governmental customers working in research and development, quality assurance and other laboratory applications. LC is a standard technique and is utilized in a broad range of industries to detect, identify, monitor and measure the chemical, physical and biological composition of materials, and to purify a full range of compounds. MS technology, principally in co
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{"example_id": 595, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 595\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe ordinary meaning of the term “discovery,” after all, is “the act, process, or an instance of gaining knowledge of or ascertaining the existence of something previously unknown or unrecognized.” Webster's Third New International Dictionary 647 (1993). See also Black's Law Dictionary 465 (6th ed. 1990) (“[t]o get first sight or knowledge of”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_595_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 595, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 595\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe ordinary meaning of the term “discovery,” after all, is “the act, process, or an instance of gaining knowledge of or ascertaining the existence of something previously unknown or unrecognized.” Webster's Third New International Dictionary 647 (1993). See also Black's Law Dictionary 465 (6th ed. 1990) (“[t]o get first sight or knowledge of”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_595_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_595_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text provides the definition of the term 'discovery' from Webster's Third New International Dictionary: 'the act, process, or an instance of gaining knowledge of or ascertaining the existence of something previously unknown or unrecognized'.\",\n \"The text also cites Black's Law Dictionary defining 'discovery' as '[t]o get first sight or knowledge of'.\",\n \"The question asks to classify the text into the most appropriate label from choices 'No' or 'Yes'.\",\n \"The task is 'definition_classification' from LegalBench.\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for the 'definition_classification' task are not provided.\",\n \"The context or additional examples that would clarify whether the text should be classified as 'Yes' or 'No' are absent.\"\n ],\n \"context_summary\": \"The text defines the ordinary meaning of 'discovery' using dictionary sources. The task is to classify this text as either 'Yes' or 'No' under the definition_classification task.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_595_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 595, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 595\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe ordinary meaning of the term “discovery,” after all, is “the act, process, or an instance of gaining knowledge of or ascertaining the existence of something previously unknown or unrecognized.” Webster's Third New International Dictionary 647 (1993). See also Black's Law Dictionary 465 (6th ed. 1990) (“[t]o get first sight or knowledge of”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_595_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_595_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text provides the definition of the term 'discovery' from Webster's Third New International Dictionary: 'the act, process, or an instance of gaining knowledge of or ascertaining the existence of something previously unknown or unrecognized'.\",\n \"The text also cites Black's Law Dictionary defining 'discovery' as '[t]o get first sight or knowledge of'.\",\n \"The question asks to classify the text into the most appropriate label from choices 'No' or 'Yes'.\",\n \"The task is 'definition_classification' from LegalBench.\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for the 'definition_classification' task are not provided.\",\n \"The context or additional examples that would clarify whether the text should be classified as 'Yes' or 'No' are absent.\"\n ],\n \"context_summary\": \"The text defines the ordinary meaning of 'discovery' using dictionary sources. The task is to classify this text as either 'Yes' or 'No' under the definition_classification task.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_595_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_595_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides definitions of 'discovery' from two dictionaries\",\n \"Text begins with 'The ordinary meaning of the term...'\",\n \"Text cites Webster's Third New International Dictionary and Black's Law Dictionary\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states or implies a definition of a term\",\n \"Whether the text cites authoritative sources for the definition\",\n \"Whether the text is structured as a definition (e.g., 'is', 'means')\"\n ],\n \"knowledge_slots
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{"example_id": 710, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 710\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nI do not find it necessary at this time to pass on the validity of the statutory provision concerning “custom or usage” or on the trial court’s views, concurred in by the Court of Appeals, on the proper interpretation of that term.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_710_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 710, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 710\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nI do not find it necessary at this time to pass on the validity of the statutory provision concerning “custom or usage” or on the trial court’s views, concurred in by the Court of Appeals, on the proper interpretation of that term.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_710_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_710_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition Classification Rule: A text is classified as a definition if it explicitly defines a term or states its meaning; otherwise it is not a definition.\",\n \"source\": \"LegalBench definition_classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains an explicit definition of a term\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text says 'I do not find it necessary at this time to pass on the validity of the statutory provision concerning “custom or usage”' and discusses interpretation, but does not provide a definition of the term 'custom or usage'.\"\n }\n ],\n \"conclusion_logic\": \"If the text explicitly defines a term or states its meaning, then classification is Yes. If the text does not define any term or discuss its meaning, then classification is No. Here, the text indicates it will not pass on the validity or interpretation of 'custom or usage', so no definition is provided.\",\n \"uncertainty_notes\": [\n \"The text is a meta-statement about not addressing a legal question, not an actual definition. It is clear that no definition is given.\"\n ],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_710_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 710, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 710\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nI do not find it necessary at this time to pass on the validity of the statutory provision concerning “custom or usage” or on the trial court’s views, concurred in by the Court of Appeals, on the proper interpretation of that term.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_710_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_710_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition Classification Rule: A text is classified as a definition if it explicitly defines a term or states its meaning; otherwise it is not a definition.\",\n \"source\": \"LegalBench definition_classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains an explicit definition of a term\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text says 'I do not find it necessary at this time to pass on the validity of the statutory provision concerning “custom or usage”' and discusses interpretation, but does not provide a definition of the term 'custom or usage'.\"\n }\n ],\n \"conclusion_logic\": \"If the text explicitly defines a term or states its meaning, then classification is Yes. If the text does not define any term or discuss its meaning, then classification is No. Here, the text indicates it will not pass on the validity or interpretation of 'custom or usage', so no definition is provided.\",\n \"uncertainty_notes\": [\n \"The text is a meta-statement about not addressing a legal question, not an actual definition. It is clear that no definition is given.\"\n ],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_710_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_710_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a statement about not passing on validity of a statutory provision and interpretation of 'custom or usage'\",\n \"Text appears to be a judicial opinion or legal reasoning excerpt\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text explicitly defines the term 'custom or usage'\",\n \"Whether the text discusses the validity of a statutory provision\",\n \"Whether the text is a deferral or a decision on the matter\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, definition c
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{"example_id": 1972, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1972\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide for transfers to the 1974 UMWA pension plan and a reduction in the minimum age for allowable in-service distributions.\nbill_summary: Miners Pension Protection Act \n\nThis bill transfers certain funds to provide pension benefits for retired coal miners who have been affected by issues such as coal company bankruptcies.\n\nThe Department of the Treasury must transfer additional funds to the 1974 United Mine Workers of America (UMWA) Pension Plan to pay pension benefits required under that plan if the annual limit on transfers under the Surface Mining Control and Reclamation Act of 1977 exceeds the amount required to be transferred for existing obligations of the Abandoned Mine Reclamation Fund. The bill also increases the annual limit on transfers from $490 million to $750 million.\n\nThe bill also allows in-service distributions under a pension plan or governmental section 457(b) plan at age 59-1/2 (currently age 62).\ncompany_name: Tempur Sealy International, Inc.\ncompany_description: We develop, manufacture and market bedding products, which we sell globally. Our brand portfolio includes many highly recognized brands in the industry, including TEMPUR®, Tempur-Pedic®, Sealy® featuring Posturepedic® Technology, and Stearns & Foster®. Our comprehensive suite of bedding products offers a variety of products to consumers across a broad range of channels. We operate in two segments: North America and International. Our North America segment consists of Tempur and Sealy manufacturing and distribution subsidiaries and licensees located in the U.S. and Canada. Our International segment consists of Tempur and Sealy manufacturing and distribution subsidiaries, joint ventures and licensees located in Europe, Asia-Pacific and Latin America. We recently divested certain of our manufacturing and distribution subsidiaries in Latin America. Wholesale includes all third party retailers, including third party distribution, hospitality and healthcare. Direct includes company-owned stores, e-commerce, and call centers. Our goal is to improve the sleep of more people, every night, all around the world. In order to achieve our long-term strategy while managing the current economic and competitive environments, we will focus on developing the most innovative bedding products in all the markets we serve, making significant investments in our global brands and optimizing our worldwide distribution through all channels. Our Products and Brands We have a comprehensive offering of products that appeal to a broad range of consumers, some of which are covered by one or more patents and/or patent applications. In order to achieve our goal to improve the sleep of more people, every night, all around the wo
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{"example_id": 1972, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1972\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide for transfers to the 1974 UMWA pension plan and a reduction in the minimum age for allowable in-service distributions.\nbill_summary: Miners Pension Protection Act \n\nThis bill transfers certain funds to provide pension benefits for retired coal miners who have been affected by issues such as coal company bankruptcies.\n\nThe Department of the Treasury must transfer additional funds to the 1974 United Mine Workers of America (UMWA) Pension Plan to pay pension benefits required under that plan if the annual limit on transfers under the Surface Mining Control and Reclamation Act of 1977 exceeds the amount required to be transferred for existing obligations of the Abandoned Mine Reclamation Fund. The bill also increases the annual limit on transfers from $490 million to $750 million.\n\nThe bill also allows in-service distributions under a pension plan or governmental section 457(b) plan at age 59-1/2 (currently age 62).\ncompany_name: Tempur Sealy International, Inc.\ncompany_description: We develop, manufacture and market bedding products, which we sell globally. Our brand portfolio includes many highly recognized brands in the industry, including TEMPUR®, Tempur-Pedic®, Sealy® featuring Posturepedic® Technology, and Stearns & Foster®. Our comprehensive suite of bedding products offers a variety of products to consumers across a broad range of channels. We operate in two segments: North America and International. Our North America segment consists of Tempur and Sealy manufacturing and distribution subsidiaries and licensees located in the U.S. and Canada. Our International segment consists of Tempur and Sealy manufacturing and distribution subsidiaries, joint ventures and licensees located in Europe, Asia-Pacific and Latin America. We recently divested certain of our manufacturing and distribution subsidiaries in Latin America. Wholesale includes all third party retailers, including third party distribution, hospitality and healthcare. Direct includes company-owned stores, e-commerce, and call centers. Our goal is to improve the sleep of more people, every night, all around the world. In order to achieve our long-term strategy while managing the current economic and competitive environments, we will focus on developing the most innovative bedding products in all the markets we serve, making significant investments in our global brands and optimizing our worldwide distribution through all channels. Our Products and Brands We have a comprehensive offering of products that appeal to a broad range of consumers, some of which are covered by one or more patents and/or patent applications. In order to achieve our goal to improve the sleep of more people, every night, all around the wo
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{"example_id": 1311, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1311\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn pressing this argument it is contended by the majority that no requirement can be justly said to be a qualification which is not attainable by all, and that to' demand a qualification not attainable by all is a punishment.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1311_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1311, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1311\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn pressing this argument it is contended by the majority that no requirement can be justly said to be a qualification which is not attainable by all, and that to' demand a qualification not attainable by all is a punishment.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1311_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1311_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text argues about qualifications vs punishment\",\n \"States that a qualification must be attainable by all\",\n \"Claims demanding an unattainable qualification is a punishment\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches the legal definition being tested\",\n \"Whether the text exhibits key characteristics of the defined concept\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require matching text to a label based on predefined definition\",\n \"The specific definition is not provided here\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not satisfy the criteria of the definition\"\n ],\n \"less_relevant_if\": [\n \"Text closely matches the definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text satisfies the criteria of the definition\"\n ],\n \"less_relevant_if\": [\n \"Text fails to match the definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text should be classified against\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2512, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2512\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: When buying an item on our Services, you agree to the Rules and policies for buyers and that:\nYou are responsible for reading the full item listing before making a bid or committing to buy,\nYou enter into a legally binding contract to purchase an item when you commit to buy an item, your offer for an item is accepted, or if you have the winning bid (or your bid is otherwise accepted),\nFor motor vehicles and real estate, a bid or offer initiates a non-binding transaction representing a buyer's serious expression of interest in buying the seller's item and does not create a formal contract between the buyer and the seller,\nWe do not transfer legal ownership of items from the seller to the buyer,\nUtah Code Annotated 70A-2-401(2) and Uniform Commercial Code 2-401(2) apply to the transfer of ownership between the buyer and the seller, unless the buyer and the seller agree otherwise.\nquestion: Do winning bids on eBay entail a legal obligation on the part of the bidder to purchase the applicable item?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2512_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2512, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2512\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: When buying an item on our Services, you agree to the Rules and policies for buyers and that:\nYou are responsible for reading the full item listing before making a bid or committing to buy,\nYou enter into a legally binding contract to purchase an item when you commit to buy an item, your offer for an item is accepted, or if you have the winning bid (or your bid is otherwise accepted),\nFor motor vehicles and real estate, a bid or offer initiates a non-binding transaction representing a buyer's serious expression of interest in buying the seller's item and does not create a formal contract between the buyer and the seller,\nWe do not transfer legal ownership of items from the seller to the buyer,\nUtah Code Annotated 70A-2-401(2) and Uniform Commercial Code 2-401(2) apply to the transfer of ownership between the buyer and the seller, unless the buyer and the seller agree otherwise.\nquestion: Do winning bids on eBay entail a legal obligation on the part of the bidder to purchase the applicable item?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2512_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2512_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The contract states that a bid or offer initiates a non-binding transaction for motor vehicles and real estate.\",\n \"The contract states that a winning bid is accepted and creates a legally binding contract to purchase.\",\n \"The contract mentions Utah Code and Uniform Commercial Code apply to transfer of ownership.\"\n ],\n \"task_type\": \"contract_interpretation\",\n \"decision_factors\": [\n \"Whether the item is a motor vehicle or real estate (non-binding) or another item (binding)\",\n \"Whether the bidder committed to buy or had the winning bid\",\n \"Application of UCC to determine binding nature\"\n ],\n \"knowledge_slots\": [\n \"General contract law: winning bid typically creates a binding contract unless exception applies\",\n \"eBay's own policies may modify binding nature of bids\",\n \"UCC governs sales of goods, may not apply to all item types\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The item is a motor vehicle or real estate, making the bid non-binding\",\n \"The contract explicitly states that a winning bid does not create a legal obligation\"\n ],\n \"less_relevant_if
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{"example_id": 12, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 12\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"Under the definitions supplied by contemporary law dictionaries, Territories would have been classified as 'corporations' (and hence as 'persons') at the time that § 1983 was enacted and the Dictionary Act recodified.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_12_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 12, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 12\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"Under the definitions supplied by contemporary law dictionaries, Territories would have been classified as 'corporations' (and hence as 'persons') at the time that § 1983 was enacted and the Dictionary Act recodified.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_12_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_12_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text discusses classifications of 'Territories' as 'corporations' and hence as 'persons' under contemporary law dictionaries.\",\n \"The text references § 1983 and the Dictionary Act.\",\n \"The text indicates a historical classification at the time § 1983 was enacted and the Dictionary Act recodified.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classification as 'Yes' or 'No' in this task is not provided.\",\n \"The current or correct legal classification of Territories is not given.\"\n ],\n \"context_summary\": \"A statement about whether, under contemporary law dictionaries, Territories would have been classified as corporations (and thus as persons) at the time §1983 was enacted and the Dictionary Act recodified.\",\n \"confidence\": 0.7\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_12_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 12, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 12\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"Under the definitions supplied by contemporary law dictionaries, Territories would have been classified as 'corporations' (and hence as 'persons') at the time that § 1983 was enacted and the Dictionary Act recodified.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_12_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_12_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text discusses classifications of 'Territories' as 'corporations' and hence as 'persons' under contemporary law dictionaries.\",\n \"The text references § 1983 and the Dictionary Act.\",\n \"The text indicates a historical classification at the time § 1983 was enacted and the Dictionary Act recodified.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classification as 'Yes' or 'No' in this task is not provided.\",\n \"The current or correct legal classification of Territories is not given.\"\n ],\n \"context_summary\": \"A statement about whether, under contemporary law dictionaries, Territories would have been classified as corporations (and thus as persons) at the time §1983 was enacted and the Dictionary Act recodified.\",\n \"confidence\": 0.7\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_12_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_12_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses classification of 'Territories' as 'corporations' under contemporary law dictionaries\",\n \"States that classification would make them 'persons' at time § 1983 was enacted\",\n \"References Dictionary Act recodification\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text provides a definition or a claim about legal classification\",\n \"Whether the text directly answers a classification question or requires inference\",\n \"Whether the text mentions authoritative legal sources (dictionaries, statutes)\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'corporations' and 'persons' in 19th century\",\n \"Doctrine of statutory interpretation and dictionary definitions in § 1983 cases\",\n \"Role of Dictionary Act in recodifying legal terms\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\":
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{"example_id": 165, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 165\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo \"exercise\" in the sense relevant here means \"to bring into play\" or \"make effective in action.\" Webster's Third New International Dictionary 795 (1993). And to \"exercise\" something like control is \"to put in practice or carry out in action.\" Webster's New International Dictionary, at 892.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_165_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 165, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 165\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo \"exercise\" in the sense relevant here means \"to bring into play\" or \"make effective in action.\" Webster's Third New International Dictionary 795 (1993). And to \"exercise\" something like control is \"to put in practice or carry out in action.\" Webster's New International Dictionary, at 892.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_165_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_165_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition identification rule: A text is classified as a definition if it explicitly states the meaning of a term, typically using a definitional structure (e.g., 'To X means Y' or 'X is Y') and cites a权威 source such as a dictionary.\",\n \"source\": \"LegalBench definition classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a definitional statement for a term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'To \\\"exercise\\\" in the sense relevant here means \\\"to bring into play\\\" or \\\"make effective in action.\\\"' and provides a dictionary citation.\"\n },\n {\n \"element\": \"Text provides a meaning of the term from an authoritative source\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text cites 'Webster's Third New International Dictionary 795 (1993)' and also includes another definition from 'Webster's New International Dictionary, at 892.'\"\n }\n ],\n \"conclusion_logic\": \"If the text contains one or more definitional statements (e.g., 'To X means Y') and those definitions are attributed to an authoritative source, then the text satisfies the criteria for being a definition. If the text lacks such definitional content or source attribution, it would not be classified as a definition.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_165_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 165, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 165\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo \"exercise\" in the sense relevant here means \"to bring into play\" or \"make effective in action.\" Webster's Third New International Dictionary 795 (1993). And to \"exercise\" something like control is \"to put in practice or carry out in action.\" Webster's New International Dictionary, at 892.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_165_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_165_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition identification rule: A text is classified as a definition if it explicitly states the meaning of a term, typically using a definitional structure (e.g., 'To X means Y' or 'X is Y') and cites a权威 source such as a dictionary.\",\n \"source\": \"LegalBench definition classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a definitional statement for a term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'To \\\"exercise\\\" in the sense relevant here means \\\"to bring into play\\\" or \\\"make effective in action.\\\"' and provides a dictionary citation.\"\n },\n {\n \"element\": \"Text provides a meaning of the term from an authoritative source\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text cites 'Webster's Third New International Dictionary 795 (1993)' and also includes another definition from 'Webster's New International Dictionary, at 892.'\"\n }\n ],\n \"conclusion_logic\": \"If the text contains one or more definitional statements (e.g., 'To X means Y') and those definitions are attributed to an authoritative source, then the text satisfies the criteria for being a definition. If the text lacks such definitional content or source attribution, it would not be classified as a definition.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_165_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_165_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides two quotes from Webster's dictionaries defining the word 'exercise'.\",\n \"The text includes the phrase 'To exercise in the sense relevant here means...'.\",\n \"The text does not contain any argumentation, conclusion, or claim beyond the de
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{"example_id": 2445, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2445\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Uploading Content\nIf you have a YouTube channel, you may be able to upload Content to the Service. You may use your Content to promote your business or artistic enterprise. If you choose to upload Content, you must not submit to the Service any Content that does not comply with this Agreement (including the YouTube Community Guidelines) or the law. For example, the Content you submit must not include third-party intellectual property (such as copyrighted material) unless you have permission from that party or are otherwise legally entitled to do so. You are legally responsible for the Content you submit to the Service. We may use automated systems that analyze your Content to help detect infringement and abuse, such as spam, malware, and illegal content.\n\nRights you Grant\nYou retain ownership rights in your Content. However, we do require you to grant certain rights to YouTube and other users of the Service, as described below.\n\nLicense to YouTube\nBy providing Content to the Service, you grant to YouTube a worldwide, non-exclusive, royalty-free, sublicensable and transferable license to use that Content (including to reproduce, distribute, prepare derivative works, display and perform it) in connection with the Service and YouTubes (and its successors' and Affiliates') business, including for the purpose of promoting and redistributing part or all of the Service.\n\nLicense to Other Users\nYou also grant each other user of the Service a worldwide, non-exclusive, royalty-free license to access your Content through the Service, and to use that Content, including to reproduce, distribute, prepare derivative works, display, and perform it, only as enabled by a feature of the Service (such as video playback or embeds). For clarity, this license does not grant any rights or permissions for a user to make use of your Content independent of the Service.\n\nDuration of License\nThe licenses granted by you continue for a commercially reasonable period of time after you remove or delete your Content from the Service. You understand and agree, however, that YouTube may retain, but not display, distribute, or perform, server copies of your videos that have been removed or deleted. \n\nRemoving Your Content\nYou may remove your Content from the Service at any time. You also have the option to make a copy of your Content before removing it. You must remove your Content if you no longer have the rights required by these terms.\n\nRemoval of Content By YouTube\nIf we reasonably believe that any Content is in breach of this Agreement or may cause harm to YouTube, our users, or third parties, we may remove or take down that Content in our discretion. We will notify you with the reason for our action unless
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{"example_id": 2445, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2445\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Uploading Content\nIf you have a YouTube channel, you may be able to upload Content to the Service. You may use your Content to promote your business or artistic enterprise. If you choose to upload Content, you must not submit to the Service any Content that does not comply with this Agreement (including the YouTube Community Guidelines) or the law. For example, the Content you submit must not include third-party intellectual property (such as copyrighted material) unless you have permission from that party or are otherwise legally entitled to do so. You are legally responsible for the Content you submit to the Service. We may use automated systems that analyze your Content to help detect infringement and abuse, such as spam, malware, and illegal content.\n\nRights you Grant\nYou retain ownership rights in your Content. However, we do require you to grant certain rights to YouTube and other users of the Service, as described below.\n\nLicense to YouTube\nBy providing Content to the Service, you grant to YouTube a worldwide, non-exclusive, royalty-free, sublicensable and transferable license to use that Content (including to reproduce, distribute, prepare derivative works, display and perform it) in connection with the Service and YouTubes (and its successors' and Affiliates') business, including for the purpose of promoting and redistributing part or all of the Service.\n\nLicense to Other Users\nYou also grant each other user of the Service a worldwide, non-exclusive, royalty-free license to access your Content through the Service, and to use that Content, including to reproduce, distribute, prepare derivative works, display, and perform it, only as enabled by a feature of the Service (such as video playback or embeds). For clarity, this license does not grant any rights or permissions for a user to make use of your Content independent of the Service.\n\nDuration of License\nThe licenses granted by you continue for a commercially reasonable period of time after you remove or delete your Content from the Service. You understand and agree, however, that YouTube may retain, but not display, distribute, or perform, server copies of your videos that have been removed or deleted. \n\nRemoving Your Content\nYou may remove your Content from the Service at any time. You also have the option to make a copy of your Content before removing it. You must remove your Content if you no longer have the rights required by these terms.\n\nRemoval of Content By YouTube\nIf we reasonably believe that any Content is in breach of this Agreement or may cause harm to YouTube, our users, or third parties, we may remove or take down that Content in our discretion. We will notify you with the reason for our action unless
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{"example_id": 1345, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1345\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: In August 2015, the district court denied the Government's petition for a certificate of extraditability and dismissed the extradition complaint. In re Extradition of Khochinsky, 116 F. Supp. 3d 412, 422 (S.D.N.Y. 2015). The court found that “the Government failed to adduce any evidence” that Khochinsky knew Girl with Dove was “stolen at the time he acquired it.” Id. The court thus held that “the Government ha[d] failed to establish probable cause to believe that Khochinsky committed the crime with which he [was] charged.” Id.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1345_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1345, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1345\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: In August 2015, the district court denied the Government's petition for a certificate of extraditability and dismissed the extradition complaint. In re Extradition of Khochinsky, 116 F. Supp. 3d 412, 422 (S.D.N.Y. 2015). The court found that “the Government failed to adduce any evidence” that Khochinsky knew Girl with Dove was “stolen at the time he acquired it.” Id. The court thus held that “the Government ha[d] failed to establish probable cause to believe that Khochinsky committed the crime with which he [was] charged.” Id.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1345_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1345_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"District court denied extradition petition and dismissed complaint\",\n \"Court found Government failed to adduce evidence that accused knew property was stolen\",\n \"Court held Government failed to establish probable cause for extradition\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text describes a prior court action or its outcome\",\n \"Whether the text emphasizes reasoning or a final determination\",\n \"Whether the text recounts events without legal analysis\"\n ],\n \"knowledge_slots\": [\n \"Procedural History: account of previous court proceedings or motions\",\n \"Conclusion: statement of the court's final decision or holding\",\n \"Analysis: discussion of legal standards and application to facts\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text contains detailed reasoning and analysis of legal issues\"],\n \"less_relevant_if\": [\"Text is primarily descriptive of a prior court action without deep reasoning\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"Text states the court's ultimate decision or judgment\"],\n \"less_relevant_if\": [\"Text describes a lower court's action rather than the current court's decision\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"Text contains an order, injunction, or specific directive\"],\n \"less_relevant_if\": [\"Text describes a court's denial without an e
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{"example_id": 1609, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1609\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: As to the first argument, the evidence amply supports the district court's finding that the game was created at Klamer's expense. In general, the expense requirement looks to the parties' relative investment of resources in the work and the related financial risk. See Marvel Characters, Inc. v. Kirby, 726 F.3d 119, 140 (2d Cir. 2013) (noting that the overall purpose of the expense requirement is to “reward[ ] with ownership the party that bears the risk with respect to the work's success”). Here, Klamer promised at the outset to pay Markham any costs incurred -- regardless of whether Milton Bradley ultimately liked the game and paid for the rights. Hence, if the dinner at Chasen's had gone poorly, Klamer still would have *84 been obligated to pay Markham's costs.5 As a result, Markham's downside was limited.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1609_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1609, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1609\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: As to the first argument, the evidence amply supports the district court's finding that the game was created at Klamer's expense. In general, the expense requirement looks to the parties' relative investment of resources in the work and the related financial risk. See Marvel Characters, Inc. v. Kirby, 726 F.3d 119, 140 (2d Cir. 2013) (noting that the overall purpose of the expense requirement is to “reward[ ] with ownership the party that bears the risk with respect to the work's success”). Here, Klamer promised at the outset to pay Markham any costs incurred -- regardless of whether Milton Bradley ultimately liked the game and paid for the rights. Hence, if the dinner at Chasen's had gone poorly, Klamer still would have *84 been obligated to pay Markham's costs.5 As a result, Markham's downside was limited.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1609_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1609_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Game created at Klamer's expense\",\n \"Klamer promised to pay Markham costs regardless of game success\",\n \"Markham's downside was limited\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Text evaluates supporting evidence for a district court finding\",\n \"Cites a case for legal principle\",\n \"Applies law to facts rather than stating a rule or conclusion\",\n \"Discussion is part of the body of an opinion, not procedural history or facts alone\"\n ],\n \"knowledge_slots\": [\n \"Analysis sections apply legal rules to facts\",\n \"Conclusion sections summarize the court's final determination\",\n \"Facts sections recite undisputed background without legal reasoning\",\n \"Rule sections quote a case to state a legal standard without applying it\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"text evaluates evidence and applies legal reasoning to support a finding\"],\n \"less_relevant_if\": [\"text states a final decision or rule without application\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"text announces the court's ultimate decision on an issue\"],\n
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{"example_id": 793, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 793\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe District Court instructed the jury that it could award punitive damages in favor of the plaintiff if it concluded that the defendant’s conduct constituted “reckless or callous disregard of, or indifference to, the rights or safety of others.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_793_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 793, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 793\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe District Court instructed the jury that it could award punitive damages in favor of the plaintiff if it concluded that the defendant’s conduct constituted “reckless or callous disregard of, or indifference to, the rights or safety of others.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_793_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_793_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The District Court instructed the jury to award punitive damages if the defendant's conduct constituted 'reckless or callous disregard of, or indifference to, the rights or safety of others'.\",\n \"The text is a jury instruction from a District Court regarding punitive damages.\"\n ],\n \"missing_info\": [\n \"The specific legal definition or criteria that the text is being classified against is not provided.\",\n \"The context or legal rule that defines whether the text should be labeled 'Yes' or 'No' is missing.\"\n ],\n \"context_summary\": \"A District Court instructed the jury to award punitive damages if the defendant's conduct showed reckless or callous disregard or indifference to others' rights or safety.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_793_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 793, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 793\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe District Court instructed the jury that it could award punitive damages in favor of the plaintiff if it concluded that the defendant’s conduct constituted “reckless or callous disregard of, or indifference to, the rights or safety of others.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_793_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_793_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The District Court instructed the jury to award punitive damages if the defendant's conduct constituted 'reckless or callous disregard of, or indifference to, the rights or safety of others'.\",\n \"The text is a jury instruction from a District Court regarding punitive damages.\"\n ],\n \"missing_info\": [\n \"The specific legal definition or criteria that the text is being classified against is not provided.\",\n \"The context or legal rule that defines whether the text should be labeled 'Yes' or 'No' is missing.\"\n ],\n \"context_summary\": \"A District Court instructed the jury to award punitive damages if the defendant's conduct showed reckless or callous disregard or indifference to others' rights or safety.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_793_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_793_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"District Court instructed jury to award punitive damages for 'reckless or callous disregard or indifference to rights or safety of others'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the instructed definition matches the specific legal term or standard being tested\"\n ],\n \"knowledge_slots\": [\n \"Knowledge of the specific legal definition or standard that the classifier is evaluating against\",\n \"Understanding of punitive damages instructions and their phrasing\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The instructed definition does not align with the definition used in the legal context of the classifier\"\n ],\n \"less_relevant_if\": [\n \"The instructed definition closely matches the expected legal standard\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"re
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{"example_id": 2515, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2515\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: eBay may contact you using autodialed or prerecorded calls and text messages, at any telephone number that you have provided us, to: (i) notify you regarding your account; (ii) troubleshoot problems with your account; (iii) resolve a dispute; (iv) collect a debt; (v) poll your opinions through surveys or questionnaires; or (vi) as otherwise necessary to service your account or enforce this User Agreement, our policies, applicable law, or any other agreement we may have with you. eBay may also contact you using autodialed or prerecorded calls and text messages for marketing purposes (e.g., offers and promotions), if you consent to such communications. Our collection, use, disclosure, retention, and protection of your personal information is governed by the User Privacy Notice. As described in our User Privacy Notice, eBay may collect other telephone numbers for you and may place manual non-marketing calls to any of those numbers and autodialed non-marketing calls to any landline. Standard telephone minute and text charges may apply and may include overage fees if you have exceeded your plan limits. If you do not wish to receive such communications, you may change your communications preference at any time, including through the Communication Preferences section of your My eBay.\n\neBay may share your telephone number with its authorized service providers as stated in our User Privacy Notice. These service providers may contact you using autodialed or prerecorded calls and text messages, only as authorized by eBay to carry out the purposes identified above.\n\neBay may, without further notice or warning and in its discretion, monitor or record telephone conversations you or anyone acting on your behalf has with eBay or its agents for quality control and training purposes, or for its own protection.\n\neBay's automated systems scan and analyze the contents of every message sent through its messages platform, including messages between users, to detect and prevent fraudulent activity or violations of eBay's User Agreement, including the incorporated terms, notices, rules, and policies. This scanning and analysis may occur before, during, or after the message is sent, or while in storage, and may result in your message being delayed or withheld. eBay may store message contents, including to conduct this scanning and analysis.\nquestion: Does eBay ever do robocalls?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2515_1", "type": "function", "func
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{"example_id": 2515, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2515\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: eBay may contact you using autodialed or prerecorded calls and text messages, at any telephone number that you have provided us, to: (i) notify you regarding your account; (ii) troubleshoot problems with your account; (iii) resolve a dispute; (iv) collect a debt; (v) poll your opinions through surveys or questionnaires; or (vi) as otherwise necessary to service your account or enforce this User Agreement, our policies, applicable law, or any other agreement we may have with you. eBay may also contact you using autodialed or prerecorded calls and text messages for marketing purposes (e.g., offers and promotions), if you consent to such communications. Our collection, use, disclosure, retention, and protection of your personal information is governed by the User Privacy Notice. As described in our User Privacy Notice, eBay may collect other telephone numbers for you and may place manual non-marketing calls to any of those numbers and autodialed non-marketing calls to any landline. Standard telephone minute and text charges may apply and may include overage fees if you have exceeded your plan limits. If you do not wish to receive such communications, you may change your communications preference at any time, including through the Communication Preferences section of your My eBay.\n\neBay may share your telephone number with its authorized service providers as stated in our User Privacy Notice. These service providers may contact you using autodialed or prerecorded calls and text messages, only as authorized by eBay to carry out the purposes identified above.\n\neBay may, without further notice or warning and in its discretion, monitor or record telephone conversations you or anyone acting on your behalf has with eBay or its agents for quality control and training purposes, or for its own protection.\n\neBay's automated systems scan and analyze the contents of every message sent through its messages platform, including messages between users, to detect and prevent fraudulent activity or violations of eBay's User Agreement, including the incorporated terms, notices, rules, and policies. This scanning and analysis may occur before, during, or after the message is sent, or while in storage, and may result in your message being delayed or withheld. eBay may store message contents, including to conduct this scanning and analysis.\nquestion: Does eBay ever do robocalls?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2515_1", "type": "function", "function": {"name"
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{"example_id": 2515, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2515\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: eBay may contact you using autodialed or prerecorded calls and text messages, at any telephone number that you have provided us, to: (i) notify you regarding your account; (ii) troubleshoot problems with your account; (iii) resolve a dispute; (iv) collect a debt; (v) poll your opinions through surveys or questionnaires; or (vi) as otherwise necessary to service your account or enforce this User Agreement, our policies, applicable law, or any other agreement we may have with you. eBay may also contact you using autodialed or prerecorded calls and text messages for marketing purposes (e.g., offers and promotions), if you consent to such communications. Our collection, use, disclosure, retention, and protection of your personal information is governed by the User Privacy Notice. As described in our User Privacy Notice, eBay may collect other telephone numbers for you and may place manual non-marketing calls to any of those numbers and autodialed non-marketing calls to any landline. Standard telephone minute and text charges may apply and may include overage fees if you have exceeded your plan limits. If you do not wish to receive such communications, you may change your communications preference at any time, including through the Communication Preferences section of your My eBay.\n\neBay may share your telephone number with its authorized service providers as stated in our User Privacy Notice. These service providers may contact you using autodialed or prerecorded calls and text messages, only as authorized by eBay to carry out the purposes identified above.\n\neBay may, without further notice or warning and in its discretion, monitor or record telephone conversations you or anyone acting on your behalf has with eBay or its agents for quality control and training purposes, or for its own protection.\n\neBay's automated systems scan and analyze the contents of every message sent through its messages platform, including messages between users, to detect and prevent fraudulent activity or violations of eBay's User Agreement, including the incorporated terms, notices, rules, and policies. This scanning and analysis may occur before, during, or after the message is sent, or while in storage, and may result in your message being delayed or withheld. eBay may store message contents, including to conduct this scanning and analysis.\nquestion: Does eBay ever do robocalls?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2515_1", "type": "function", "function": {"name"
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{"example_id": 668, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 668\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe “low-water mark” of a river is “the point to which the water recedes at its lowest stage.” Black's Law Dictionary 1623 (8th ed.2004).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_668_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 668, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 668\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe “low-water mark” of a river is “the point to which the water recedes at its lowest stage.” Black's Law Dictionary 1623 (8th ed.2004).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_668_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_668_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'low-water mark' of a river\",\n \"Text includes citation to Black's Law Dictionary\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a term\",\n \"Whether the text cites a standard legal dictionary\",\n \"Whether the text structure matches typical definition format\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions often include citations to authoritative sources\",\n \"Definition classification tasks assess if a text defines a term clearly\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not clearly define a term\",\n \"Text is incomplete or ambiguous\"\n ],\n \"less_relevant_if\": [\n \"Text provides a complete definition with source\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text provides a clear definition of a specific term\",\n \"Text includes a proper citation to a dictionary\"\n ],\n \"less_relevant_if\": [\n \"Text lacks a definitive statement of a term's meaning\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2336, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2336\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to improve data collection and monitoring of the Great Lakes, oceans, bays, estuaries, and coasts, and for other purposes.\nbill_summary: Bolstering Long-Term Understanding and Exploration of the Great Lakes, Oceans, Bays, and Estuaries Act or the BLUE GLOBE Act \n\nThis bill addresses data collection and monitoring of the Great Lakes, oceans, bays, estuaries, and coasts.\n\nSpecifically, the bill\n\n increases domestic and international coordination to enhance data management and monitoring of the Great Lakes, oceans bays, estuaries, and coasts; creates the Interagency Ocean Exploration Committee to promote the exploration and improved understanding of the oceans; revises the Ocean Policy Committee to the Committee on Ocean Policy; establishes a technology innovation task force to combat illegal, unreported and unregulated fishing; requires the National Oceanic and Atmospheric Administration (NOAA) to develop a workforce development program, including to support undergraduate and graduate education in fields related to the advancement of the monitoring, collection, synthesis, and analysis of data regarding the Great Lakes, oceans, bays, estuaries, and coasts; requires NOAA to ensure that a goal of its cooperative institutes is to advance or apply emerging technologies; requires NOAA to establish opportunities to engage indigenous, subsistence, and fishing communities to better understand their needs; institutes an ocean innovation prize to catalyze the rapid development and deployment of data collection and monitoring technology; reauthorizes several NOAA programs, including the Ocean Exploration Program; directs relevant federal agencies to measure the value and impact of industries related to the Great Lakes, oceans, bays, estuaries, and coasts on the U.S. economy; and requires the National Academy of Sciences to assess the potential for an Advanced Research Projects Agency-Oceans.\ncompany_name: Altair Engineering, Inc.\ncompany_description: \"our\") is a global technology company providing software and cloud solutions in the areas of product design and development, high performance computing, and data analytics. Our simulation-driven approach to innovation is powered by our broad portfolio of high-fidelity and high-performance physics solvers. Our integrated suite of software optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling, and embedded systems, while also providing data analytics and true-to-life visualization and rendering. Our high performance computing solutions maximize the efficient utilization of complex compute resources and streamline the workflow management of compute-inte
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{"example_id": 2336, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2336\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to improve data collection and monitoring of the Great Lakes, oceans, bays, estuaries, and coasts, and for other purposes.\nbill_summary: Bolstering Long-Term Understanding and Exploration of the Great Lakes, Oceans, Bays, and Estuaries Act or the BLUE GLOBE Act \n\nThis bill addresses data collection and monitoring of the Great Lakes, oceans, bays, estuaries, and coasts.\n\nSpecifically, the bill\n\n increases domestic and international coordination to enhance data management and monitoring of the Great Lakes, oceans bays, estuaries, and coasts; creates the Interagency Ocean Exploration Committee to promote the exploration and improved understanding of the oceans; revises the Ocean Policy Committee to the Committee on Ocean Policy; establishes a technology innovation task force to combat illegal, unreported and unregulated fishing; requires the National Oceanic and Atmospheric Administration (NOAA) to develop a workforce development program, including to support undergraduate and graduate education in fields related to the advancement of the monitoring, collection, synthesis, and analysis of data regarding the Great Lakes, oceans, bays, estuaries, and coasts; requires NOAA to ensure that a goal of its cooperative institutes is to advance or apply emerging technologies; requires NOAA to establish opportunities to engage indigenous, subsistence, and fishing communities to better understand their needs; institutes an ocean innovation prize to catalyze the rapid development and deployment of data collection and monitoring technology; reauthorizes several NOAA programs, including the Ocean Exploration Program; directs relevant federal agencies to measure the value and impact of industries related to the Great Lakes, oceans, bays, estuaries, and coasts on the U.S. economy; and requires the National Academy of Sciences to assess the potential for an Advanced Research Projects Agency-Oceans.\ncompany_name: Altair Engineering, Inc.\ncompany_description: \"our\") is a global technology company providing software and cloud solutions in the areas of product design and development, high performance computing, and data analytics. Our simulation-driven approach to innovation is powered by our broad portfolio of high-fidelity and high-performance physics solvers. Our integrated suite of software optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling, and embedded systems, while also providing data analytics and true-to-life visualization and rendering. Our high performance computing solutions maximize the efficient utilization of complex compute resources and streamline the workflow management of compute-inte
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{"example_id": 2152, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2152\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Securities and Exchange Act of 1934 to expand access to capital for rural-area small businesses, and for other purposes.\nbill_summary: Expanding Access to Capital for Rural Job Creators Act\n\nThis bill requires the Advocate for Small Business Capital Formation within the Securities and Exchange Commission to report on issues encountered by rural-area small businesses.\ncompany_name: 1st Source Corp.\ncompany_description: Source Corporation, an Indiana corporation incorporated in 1971, is a bank holding company headquartered in South Bend, Indiana that provides, through its subsidiaries (collectively referred to as \"1st Source\", Source Bank (\"Bank\"), its banking subsidiary, offers commercial and consumer banking services, trust and wealth advisory services, and insurance to individual and business clients through most of our 80 banking center locations in 17 counties in Indiana and Michigan and Sarasota County in Florida. Source Bank's Specialty Finance Group, with 22 locations nationwide, offers specialized financing services for new and used private and cargo aircraft, automobiles and light trucks for leasing and rental agencies, medium and heavy duty trucks and construction equipment. While our lending portfolio is concentrated in certain equipment types, we serve a diverse client base. At December 31, 2018 , we had consolidated total assets of $6.29 billion, total loans and leases of $4.84 billion, total deposits of $5.12 billion, and total shareholders' equity of $762.08 million. Source Bank is a wholly owned subsidiary of 1st Source Corporation that offers a broad range of consumer and commercial banking services through its lending operations, retail branches, and fee based businesses. Source Bank provides commercial, small business, agricultural, and real estate loans to primarily privately owned business clients mainly located within our regional market area. Loans are made for a wide variety of general corporate purposes, including financing for industrial and commercial properties, financing for equipment, inventories and accounts receivable, renewable energy financing, and acquisition financing. Other services include commercial leasing, treasury management services and retirement planning services. Source Bank provides a full range of consumer banking products and services through our banking centers and at 1stsource.com. In a number of our markets, 1st Source also offers insurance products through 1st Source Insurance offices. The traditional banking services include checking and savings accounts, certificates of deposits and Individual Retirement Accounts. Source offers a full line of on-line and mobile banking products which includes person-to-person p
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{"example_id": 2152, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2152\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Securities and Exchange Act of 1934 to expand access to capital for rural-area small businesses, and for other purposes.\nbill_summary: Expanding Access to Capital for Rural Job Creators Act\n\nThis bill requires the Advocate for Small Business Capital Formation within the Securities and Exchange Commission to report on issues encountered by rural-area small businesses.\ncompany_name: 1st Source Corp.\ncompany_description: Source Corporation, an Indiana corporation incorporated in 1971, is a bank holding company headquartered in South Bend, Indiana that provides, through its subsidiaries (collectively referred to as \"1st Source\", Source Bank (\"Bank\"), its banking subsidiary, offers commercial and consumer banking services, trust and wealth advisory services, and insurance to individual and business clients through most of our 80 banking center locations in 17 counties in Indiana and Michigan and Sarasota County in Florida. Source Bank's Specialty Finance Group, with 22 locations nationwide, offers specialized financing services for new and used private and cargo aircraft, automobiles and light trucks for leasing and rental agencies, medium and heavy duty trucks and construction equipment. While our lending portfolio is concentrated in certain equipment types, we serve a diverse client base. At December 31, 2018 , we had consolidated total assets of $6.29 billion, total loans and leases of $4.84 billion, total deposits of $5.12 billion, and total shareholders' equity of $762.08 million. Source Bank is a wholly owned subsidiary of 1st Source Corporation that offers a broad range of consumer and commercial banking services through its lending operations, retail branches, and fee based businesses. Source Bank provides commercial, small business, agricultural, and real estate loans to primarily privately owned business clients mainly located within our regional market area. Loans are made for a wide variety of general corporate purposes, including financing for industrial and commercial properties, financing for equipment, inventories and accounts receivable, renewable energy financing, and acquisition financing. Other services include commercial leasing, treasury management services and retirement planning services. Source Bank provides a full range of consumer banking products and services through our banking centers and at 1stsource.com. In a number of our markets, 1st Source also offers insurance products through 1st Source Insurance offices. The traditional banking services include checking and savings accounts, certificates of deposits and Individual Retirement Accounts. Source offers a full line of on-line and mobile banking products which includes person-to-person p
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{"example_id": 1425, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1425\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: This prong requires that the same parties will engage in litigation over the same issues in the future. The party invoking the exception must show a reasonable degree of likelihood that the issue will be the basis of a continuing controversy between the two parties. The relevant inquiry, however, is not whether the precise historical facts that spawned the plaintiff's claims are likely to recur. Rather, the wrong that is, or is not, capable of repetition must be defined in terms of the precise controversy it spawns, to wit, in terms of the legal questions it presents for decision.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1425_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1425, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1425\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: This prong requires that the same parties will engage in litigation over the same issues in the future. The party invoking the exception must show a reasonable degree of likelihood that the issue will be the basis of a continuing controversy between the two parties. The relevant inquiry, however, is not whether the precise historical facts that spawned the plaintiff's claims are likely to recur. Rather, the wrong that is, or is not, capable of repetition must be defined in terms of the precise controversy it spawns, to wit, in terms of the legal questions it presents for decision.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1425_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1425_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines a prong that requires the same parties to engage in litigation over the same issues in the future.\",\n \"The party invoking the exception must show a reasonable degree of likelihood that the issue will be the basis of a continuing controversy between the two parties.\",\n \"The relevant inquiry is not whether the precise historical facts that spawned the plaintiff's claims are likely to recur.\",\n \"The wrong that is, or is not, capable of repetition must be defined in terms of the precise controversy it spawns, to wit, in terms of the legal questions it presents for decision.\"\n ],\n \"missing_info\": [\n \"Information about the overall structure of the judicial opinion (e.g., preceding and following sections) would help determine the function of this text.\",\n \"Knowledge of the specific legal doctrine or test being discussed in context could clarify the role of this paragraph.\"\n ],\n \"context_summary\": \"A legal text defining a prong for the capable-of-repetition exception: it requires a reasonable likelihood of future litigation on the same issues, focusing on legal questions rather than historical facts.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1425_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1425, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1425\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: This prong requires that the same parties will engage in litigation over the same issues in the future. The party invoking the exception must show a reasonable degree of likelihood that the issue will be the basis of a continuing controversy between the two parties. The relevant inquiry, however, is not whether the precise historical facts that spawned the plaintiff's claims are likely to recur. Rather, the wrong that is, or is not, capable of repetition must be defined in terms of the precise controversy it spawns, to wit, in terms of the legal questions it presents for decision.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1425_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1425_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines a prong that requires the same parties to engage in litigation over the same issues in the future.\",\n \"The party invoking the exception must show a reasonable degree of likelihood that the issue will be the basis of a continuing controversy between the two parties.\",\n \"The relevant inquiry is not whether the precise historical facts that spawned the plaintiff's claims are likely to recur.\",\n \"The wrong that is, or is not, capable of repetition must be defined in terms of the precise controversy it spawns, to wit, in terms of the legal questions it presents for decision.\"\n ],\n \"missing_info\": [\n \"Information about the overall structure of the judicial opinion (e.g., preceding and following sections) would help determine the function of this text.\",\n \"Knowledge of the specific legal doctrine or test being discussed in context could clarify the role of this paragraph.\"\n ],\n \"context_summary\": \"A legal text defining a prong for the capable-of-repetition exception: it requires a reasonable likelihood of future litigation on the same issues, focusing on legal questions rather than historical facts.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1425_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1425_2", "name": "reasoner_tool", "content": "{\n \"case_facts\":
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{"example_id": 119, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 119\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs a verb, “conduct” means to lead, run, manage, or direct. Webster's Third New International Dictionary 474 (1976).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_119_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 119, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 119\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs a verb, “conduct” means to lead, run, manage, or direct. Webster's Third New International Dictionary 474 (1976).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_119_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_119_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is a definition if it states the meaning of a term, often with a dictionary citation.\",\n \"source\": \"LegalBench definition_classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text provides a definition of a term (e.g., 'means' or 'is defined as').\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'As a verb, “conduct” means to lead, run, manage, or direct' and cites Webster's dictionary.\"\n }\n ],\n \"conclusion_logic\": \"If the text includes a term followed by a definitional phrase such as 'means' or 'is defined as' and cites a dictionary, then it falls into the category for definitions; otherwise it falls into the other category.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_119_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 119, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 119\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs a verb, “conduct” means to lead, run, manage, or direct. Webster's Third New International Dictionary 474 (1976).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_119_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_119_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is a definition if it states the meaning of a term, often with a dictionary citation.\",\n \"source\": \"LegalBench definition_classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text provides a definition of a term (e.g., 'means' or 'is defined as').\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'As a verb, “conduct” means to lead, run, manage, or direct' and cites Webster's dictionary.\"\n }\n ],\n \"conclusion_logic\": \"If the text includes a term followed by a definitional phrase such as 'means' or 'is defined as' and cites a dictionary, then it falls into the category for definitions; otherwise it falls into the other category.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_119_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_119_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines the verb 'conduct' with meaning 'to lead, run, manage, or direct' and cites a dictionary source.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a definition of a word or phrase\",\n \"Whether the text includes a source citation similar to a dictionary definition\",\n \"Whether the text uses copula verbs like 'means' to equate the word with its meaning\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks typically involve identifying whether a given text is a definition\",\n \"Dictionary definitions often include the word defined, a copula, and a description of meaning\",\n \"Webster's Third New International Dictionary is a standard reference source\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not clearly define a word or phrase\",\n \"The text is a usage note or commentary rather than a definition\"\n ],\n \
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{"example_id": 853, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 853\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe Bankruptcy Court rejected both arguments, granted Espinosa’s motion in relevant part, denied United’s cross-motion, and ordered all claimants to cease and desist their collection efforts.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_853_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 853, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 853\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe Bankruptcy Court rejected both arguments, granted Espinosa’s motion in relevant part, denied United’s cross-motion, and ordered all claimants to cease and desist their collection efforts.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_853_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_853_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Bankruptcy Court rejected both arguments\",\n \"Court granted Espinosa's motion in part\",\n \"Court denied United's cross-motion\",\n \"Order: all claimants to cease and desist collection efforts\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches a definition of 'No' or 'Yes' in the intended classification scheme\",\n \"The presence of judicial rulings (e.g., granted, denied, rejected)\",\n \"The final injunction to cease collection efforts\"\n ],\n \"knowledge_slots\": [\n \"Typical definition of 'No' in legal classification tasks (e.g., absence of desired outcome)\",\n \"Typical definition of 'Yes' (e.g., presence of a specific procedural event)\",\n \"Understanding of motion outcomes in bankruptcy context\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The classification definition for 'No' applies to a rejected motion or denied cross-motion\"\n ],\n \"less_relevant_if\": [\n \"The classification definition for 'Yes' applies to a partial grant or injunction issued\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The classification definition for 'Yes' applies to a granted motion or successful argument\"\n ],\n \"less_relevant_if\": [\n \"The classification definition for 'No' applies to a rejected argument or denied cross-motion\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or classification criteria for 'Yes' vs 'No' in this LegalBench task\"\n ],\n \"format_confidence\": 0.8\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1322, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1322\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nJustice Story to pass to the devisee not merely the buildingbut all the land under .the mill- and necessary for its use, and commonly used with it.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1322_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1322, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1322\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nJustice Story to pass to the devisee not merely the buildingbut all the land under .the mill- and necessary for its use, and commonly used with it.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1322_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1322_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text mentions passing of land under a mill and necessary for its use\",\n \"Text references Justice Story\",\n \"The text appears to be a description of property inheritance\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches the legal definition being tested\",\n \"Presence of key terms like 'devisee', 'building', 'land', 'mill', 'necessary for use'\",\n \"Whether the text describes a specific legal principle or rule\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of consequential use or beneficial ownership\",\n \"Definition of devisee in property law\",\n \"Doctrine of nuisance or proprietary interests in land\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not align with the target definition's criteria\",\n \"Missing essential elements required by the definition\"\n ],\n \"less_relevant_if\": [\n \"The text contains all required elements of the definition\",\n \"Clearly exemplifies the defined concept\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text matches the target definition's description\",\n \"Includes all necessary elements specified in the definition\"\n ],\n \"less_relevant_if\": [\n \"The text deviates from the definition's core requirements\",\n \"Ambiguous or missing key components\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition that the text is being classified against\",\n \"Context about which legal concept is being tested\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2252, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2252\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide better care and outcomes for Americans living with Alzheimer's disease and related dementias and their caregivers while accelerating progress toward prevention strategies, disease modifying treatments, and, ultimately, a cure.\nbill_summary: Concentrating on High-value Alzheimer's Needs to Get to an End Act of 2019 or the CHANGE Act of 2019 This bill modifies the requirements under Medicare for diagnosing and treating Alzheimer's disease and other cognitive impairments in older adults. Specifically, the bill expands the cognitive impairment detection benefit during annual wellness visits to require the use of validated detection tools and documentation of the results in the patient's medical record. Further, when a cognitive impairment is detected, the patient must be referred to an appropriate diagnostic service provider and other specified supports. Additionally, the Centers for Medicare and Medicaid Services must implement Medicare policies that increase the identification and response to patients' Alzheimer's disease risk factors and incentivize providers to utilize high-quality cognitive impairment diagnosis practices. The Government Accountability Office also must conduct a study of policies that may accelerate progress in Alzheimer's disease research and enhance the quality of care for individuals diagnosed with Alzheimer's disease.\ncompany_name: Agios Pharmaceuticals, Inc.\ncompany_description: We are a biopharmaceutical company committed to the fundamental transformation of patients' lives through scientific leadership in the field of cellular metabolism and adjacent areas of biology, with the goal of making transformative, first- or best-in-class medicines for the treatment of cancer and rare genetic diseases, or RGDs. To address both cancer and RGDs, we take a systems biology approach to deeply understand disease states, drive the discovery and validation of novel therapeutic targets, and define patient selection strategies, thereby increasing the probability that our experimental medicines will have the desired therapeutic effect. In July 2018, the FDA granted us approval of our wholly-owned product, TIBSOVO® (ivosidenib) for the treatment of adult patients with R/R AML with a susceptible IDH1 mutation as detected by an FDA-approved test. TIBSOVO®, an oral targeted inhibitor of the mutated IDH1 enzyme, is the first and only FDA-approved therapy for patients with R/R AML and an IDH1 mutation. In December 2018, we submitted an MAA to the EMA for TIBSOVO® for the treatment of adult patients with R/R AML. Also in December 2018, we submitted a sNDA to the FDA for TIBSOVO® for the treatment of patients with newly diagnosed AML with an IDH1 mutation who are not eligible for
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{"example_id": 2252, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2252\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To provide better care and outcomes for Americans living with Alzheimer's disease and related dementias and their caregivers while accelerating progress toward prevention strategies, disease modifying treatments, and, ultimately, a cure.\nbill_summary: Concentrating on High-value Alzheimer's Needs to Get to an End Act of 2019 or the CHANGE Act of 2019 This bill modifies the requirements under Medicare for diagnosing and treating Alzheimer's disease and other cognitive impairments in older adults. Specifically, the bill expands the cognitive impairment detection benefit during annual wellness visits to require the use of validated detection tools and documentation of the results in the patient's medical record. Further, when a cognitive impairment is detected, the patient must be referred to an appropriate diagnostic service provider and other specified supports. Additionally, the Centers for Medicare and Medicaid Services must implement Medicare policies that increase the identification and response to patients' Alzheimer's disease risk factors and incentivize providers to utilize high-quality cognitive impairment diagnosis practices. The Government Accountability Office also must conduct a study of policies that may accelerate progress in Alzheimer's disease research and enhance the quality of care for individuals diagnosed with Alzheimer's disease.\ncompany_name: Agios Pharmaceuticals, Inc.\ncompany_description: We are a biopharmaceutical company committed to the fundamental transformation of patients' lives through scientific leadership in the field of cellular metabolism and adjacent areas of biology, with the goal of making transformative, first- or best-in-class medicines for the treatment of cancer and rare genetic diseases, or RGDs. To address both cancer and RGDs, we take a systems biology approach to deeply understand disease states, drive the discovery and validation of novel therapeutic targets, and define patient selection strategies, thereby increasing the probability that our experimental medicines will have the desired therapeutic effect. In July 2018, the FDA granted us approval of our wholly-owned product, TIBSOVO® (ivosidenib) for the treatment of adult patients with R/R AML with a susceptible IDH1 mutation as detected by an FDA-approved test. TIBSOVO®, an oral targeted inhibitor of the mutated IDH1 enzyme, is the first and only FDA-approved therapy for patients with R/R AML and an IDH1 mutation. In December 2018, we submitted an MAA to the EMA for TIBSOVO® for the treatment of adult patients with R/R AML. Also in December 2018, we submitted a sNDA to the FDA for TIBSOVO® for the treatment of patients with newly diagnosed AML with an IDH1 mutation who are not eligible for
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{"example_id": 978, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 978\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nVirginia sought a declaratory judg ment that Maryland may not require Virginia, her governmental subdivisions, or her citizens to obtain a permit in order to construct improvements appurtenant to her shore or to withdraw water from the River.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_978_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 978, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 978\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nVirginia sought a declaratory judg ment that Maryland may not require Virginia, her governmental subdivisions, or her citizens to obtain a permit in order to construct improvements appurtenant to her shore or to withdraw water from the River.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_978_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_978_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Virginia sought a declaratory judgment.\",\n \"Maryland may require Virginia, her governmental subdivisions, or her citizens to obtain a permit to construct improvements appurtenant to Virginia's shore or to withdraw water from the River.\",\n \"The text is from a legal context (LegalBench task: definition_classification).\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classifying the text as 'Yes' or 'No' is not provided.\"\n ],\n \"context_summary\": \"Virginia sought a declaratory judgment that Maryland may not require permits for constructing improvements appurtenant to Virginia's shore or withdrawing water from the River.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_978_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 978, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 978\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nVirginia sought a declaratory judg ment that Maryland may not require Virginia, her governmental subdivisions, or her citizens to obtain a permit in order to construct improvements appurtenant to her shore or to withdraw water from the River.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_978_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_978_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Virginia sought a declaratory judgment.\",\n \"Maryland may require Virginia, her governmental subdivisions, or her citizens to obtain a permit to construct improvements appurtenant to Virginia's shore or to withdraw water from the River.\",\n \"The text is from a legal context (LegalBench task: definition_classification).\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classifying the text as 'Yes' or 'No' is not provided.\"\n ],\n \"context_summary\": \"Virginia sought a declaratory judgment that Maryland may not require permits for constructing improvements appurtenant to Virginia's shore or withdrawing water from the River.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_978_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_978_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Virginia seeks a declaratory judgment that Maryland may not require Virginia, its subdivisions, or citizens to obtain a permit for constructing improvements appurtenant to its shore or withdrawing water from the River.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text satisfies the specific legal definition being applied for classification\"\n ],\n \"knowledge_slots\": [\n \"Definition of a declaratory judgment\",\n \"Conditions under which a state may claim jurisdiction over another's waters\",\n \"Permit requirements for water-related improvements\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not meet the criteria defined for the classification label\"\n ],\n \"less_relevant_if\": [\n \"The text clearly meets the defined criteria for the classification\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n
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{"example_id": 464, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 464\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nDifferent words are certainly employed in the two provisions, but it is difficult to see ... in what respect the difference of phraseology supports the theory of the defendants, as ‘a suit by a plaintiff against a defendant’ must mean substantially the same thing in the practical sense as ‘a suit in which there is controversy between the parties,’ as each provision includes the word suit, which applies to any proceeding in a court of justice in which the plaintiff pursues his remedy to recover a right or claim.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_464_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 464, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 464\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nDifferent words are certainly employed in the two provisions, but it is difficult to see ... in what respect the difference of phraseology supports the theory of the defendants, as ‘a suit by a plaintiff against a defendant’ must mean substantially the same thing in the practical sense as ‘a suit in which there is controversy between the parties,’ as each provision includes the word suit, which applies to any proceeding in a court of justice in which the plaintiff pursues his remedy to recover a right or claim.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_464_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_464_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification criterion: a text is classified as a definition if it explicitly defines a term or concept, typically by stating its meaning or scope.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains an explicit definition of a term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text discusses two legal provisions and argues about their similarity; it does not provide a definition for any term.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains an explicit definition of a term, then it falls into the defined category; otherwise, it falls into the not-defined category.\",\n \"uncertainty_notes\": [\n \"The text is ambiguous and rhetorical, with no clear definition statement, making classification straightforward.\"\n ],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_464_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 464, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 464\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nDifferent words are certainly employed in the two provisions, but it is difficult to see ... in what respect the difference of phraseology supports the theory of the defendants, as ‘a suit by a plaintiff against a defendant’ must mean substantially the same thing in the practical sense as ‘a suit in which there is controversy between the parties,’ as each provision includes the word suit, which applies to any proceeding in a court of justice in which the plaintiff pursues his remedy to recover a right or claim.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_464_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_464_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification criterion: a text is classified as a definition if it explicitly defines a term or concept, typically by stating its meaning or scope.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains an explicit definition of a term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text discusses two legal provisions and argues about their similarity; it does not provide a definition for any term.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains an explicit definition of a term, then it falls into the defined category; otherwise, it falls into the not-defined category.\",\n \"uncertainty_notes\": [\n \"The text is ambiguous and rhetorical, with no clear definition statement, making classification straightforward.\"\n ],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_464_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_464_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text compares two legal provisions with different phraseology.\",\n \"Text questions whether the phraseological difference supports a theory.\",\n \"Text states that the provisions 'must mean substantially the same thing' in practical sense.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text asserts that the two phrases mean the same thing\",\n \"Whether the text is expressing agreement or disagreement with the defendants' theory\",\n \"Whether the text focuses on semantic equi
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{"example_id": 484, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 484\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nhere may be some ambiguity at the margin, but “remain[ing] in one place” requires more than a temporary **1877 stop, and is clear in most of its applications, including all of those represented by the facts surrounding respondents' arrests described supra, at 1872–1873.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_484_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 484, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 484\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nhere may be some ambiguity at the margin, but “remain[ing] in one place” requires more than a temporary **1877 stop, and is clear in most of its applications, including all of those represented by the facts surrounding respondents' arrests described supra, at 1872–1873.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_484_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_484_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses interpretation of phrase 'remaining in one place'\",\n \"States that phrase requires more than a temporary stop\",\n \"Claims phrase is clear for described arrest facts\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition or merely comments on application\",\n \"Whether the text's main purpose is to define a term or to resolve ambiguity\"\n ],\n \"knowledge_slots\": [\n \"Criteria for classifying a statement as a definition vs. a contextual observation\",\n \"Legal interpretation of 'definition' in legal texts\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text primarily discusses application rather than providing a standalone definition\",\n \"Text modifies or clarifies but does not establish a universal meaning\"\n ],\n \"less_relevant_if\": [\n \"Text explicitly states a broad meaning applicable to multiple cases\",\n \"Text is structured as a definitive statement on the phrase's meaning\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text offers a clear, general interpretation of the phrase\",\n \"Text asserts that the phrase requires more than a temporary stop as a defining characteristic\"\n ],\n \"less_relevant_if\": [\n \"Text is limited to specific facts without general definitional force\",\n \"Text expresses ambiguity or lack of clear definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"Broader context of the legal document or opinion\",\n \"Specific criteria used in the classification task for 'definition' vs. other categories\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1368, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1368\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: We have found the requisite evidence of a foreign state's intent to qualify as an implied waiver of sovereign immunity “in only three circumstances”: (i) the state's “executing a contract containing a choice-of-law clause designating the laws of the United States as applicable”; (ii) the *9 **381 state's “filing a responsive pleading without asserting sovereign immunity”; or (iii) the state's “agreeing to submit a dispute to arbitration in the United States.” Ivanenko, 995 F.3d at 239; see World Wide Minerals, Ltd. v. Republic of Kazakhstan, 296 F.3d 1154, 1161 n.11 (D.C. Cir. 2002). And “courts have been reluctant to stray beyond these examples when considering claims that a nation has implicitly waived its defense of sovereign immunity.” World Wide Minerals, 296 F.3d at 1161 n.11 (internal quotation marks omitted).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1368_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1368, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1368\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: We have found the requisite evidence of a foreign state's intent to qualify as an implied waiver of sovereign immunity “in only three circumstances”: (i) the state's “executing a contract containing a choice-of-law clause designating the laws of the United States as applicable”; (ii) the *9 **381 state's “filing a responsive pleading without asserting sovereign immunity”; or (iii) the state's “agreeing to submit a dispute to arbitration in the United States.” Ivanenko, 995 F.3d at 239; see World Wide Minerals, Ltd. v. Republic of Kazakhstan, 296 F.3d 1154, 1161 n.11 (D.C. Cir. 2002). And “courts have been reluctant to stray beyond these examples when considering claims that a nation has implicitly waived its defense of sovereign immunity.” World Wide Minerals, 296 F.3d at 1161 n.11 (internal quotation marks omitted).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1368_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1368_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text cites two cases and states a test for implied waiver of sovereign immunity\",\n \"Text lists three circumstances that constitute implied waiver\",\n \"Text notes that courts are reluctant to expand beyond these examples\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Whether the text states a legal standard or test\",\n \"Whether the text includes citation to authority\",\n \"Whether the text uses descriptive language like 'we have found'\",\n \"Whether the text announces a rule rather than applying it to facts\"\n ],\n \"knowledge_slots\": [\n \"Legal decision sections: Rule sections state tests or standards\",\n \"Analysis sections apply rules to specific case facts\",\n \"Conclusion sections summarize holding or reasoning\",\n \"Facts sections describe case-specific events\",\n \"Issue sections frame the legal question\",\n \"Procedural History sections recount lower court actions\",\n \"Decree sections contain final court order\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text applies listed rule to case-specific facts\"],\n \"less_relevant_if\
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{"example_id": 2523, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2523\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Notice Specific to Documents Available on this Website\nPermission to use Documents (such as white papers, press releases, datasheets and FAQs) from the Services is granted, provided that (1) the below copyright notice appears in all copies and that both the copyright notice and this permission notice appear, (2) use of such Documents from the Services is for informational and non-commercial or personal use only and will not be copied or posted on any network computer or broadcast in any media, and (3) no modifications of any Documents are made. Accredited educational institutions, such as K-12, universities, private/public colleges, and state community colleges, may download and reproduce the Documents for distribution in the classroom. Distribution outside the classroom requires express written permission. Use for any other purpose is expressly prohibited by law, and may result in severe civil and criminal penalties. Violators will be prosecuted to the maximum extent possible.\n\nDocuments specified above do not include the design or layout of the Microsoft.com website or any other Microsoft owned, operated, licensed or controlled site. Elements of Microsoft websites are protected by trade dress, trademark, unfair competition, and other laws and may not be copied or imitated in whole or in part. No logo, graphic, sound or image from any Microsoft website may be copied or retransmitted unless expressly permitted by Microsoft.\n\nMICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS MAKE NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN THE DOCUMENTS AND RELATED GRAPHICS PUBLISHED AS PART OF THE SERVICES FOR ANY PURPOSE. ALL SUCH DOCUMENTS AND RELATED GRAPHICS ARE PROVIDED \"AS IS\" WITHOUT WARRANTY OF ANY KIND. MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS HEREBY DISCLAIM ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SERVICES.\n\nTHE DOCUMENTS AND RELATED GRAPHICS PUBLISHED ON THE SERVICES COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME.\n\nNotice
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{"example_id": 2523, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2523\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Notice Specific to Documents Available on this Website\nPermission to use Documents (such as white papers, press releases, datasheets and FAQs) from the Services is granted, provided that (1) the below copyright notice appears in all copies and that both the copyright notice and this permission notice appear, (2) use of such Documents from the Services is for informational and non-commercial or personal use only and will not be copied or posted on any network computer or broadcast in any media, and (3) no modifications of any Documents are made. Accredited educational institutions, such as K-12, universities, private/public colleges, and state community colleges, may download and reproduce the Documents for distribution in the classroom. Distribution outside the classroom requires express written permission. Use for any other purpose is expressly prohibited by law, and may result in severe civil and criminal penalties. Violators will be prosecuted to the maximum extent possible.\n\nDocuments specified above do not include the design or layout of the Microsoft.com website or any other Microsoft owned, operated, licensed or controlled site. Elements of Microsoft websites are protected by trade dress, trademark, unfair competition, and other laws and may not be copied or imitated in whole or in part. No logo, graphic, sound or image from any Microsoft website may be copied or retransmitted unless expressly permitted by Microsoft.\n\nMICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS MAKE NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN THE DOCUMENTS AND RELATED GRAPHICS PUBLISHED AS PART OF THE SERVICES FOR ANY PURPOSE. ALL SUCH DOCUMENTS AND RELATED GRAPHICS ARE PROVIDED \"AS IS\" WITHOUT WARRANTY OF ANY KIND. MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS HEREBY DISCLAIM ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SERVICES.\n\nTHE DOCUMENTS AND RELATED GRAPHICS PUBLISHED ON THE SERVICES COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME.\n\nNotice
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{"example_id": 2179, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2179\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To make improvements to certain defense and security assistance provisions and to authorize theappropriation of funds to Israel, to reauthorize the United States-Jordan Defense Cooperation Act of 2015, and to halt the wholesale slaughter of the Syrian people, and for other purposes.\nbill_summary: Strengthening America's Security in the Middle East Act of 2019\n\nThis bill authorizes assistance and weapons transfers to Israel, and extends defense cooperation with Jordan. It establishes additional sanctions related to the conflict in Syria, and allows states to divest from entities boycotting Israel.\n\nIleana Ros-Lehtinen United States-Israel Security Assistance Authorization Act of 2019\n\nThe bill reauthorizes through FY2028 Foreign Military Financing to Israel. It extends loan guarantees to Israel through FY2023, and authorizes the President to transfer precision-guided munitions to the country.\n\nThe bill directs the President to report on steps taken to help Israel secure a strategic trade authorization exception.\n\nUnited States-Jordan Defense Cooperation Extension Act\n\nThe bill extends through 2022 arrangements that allow certain defense articles to be transferred to Jordan on an expedited basis. The bill also directs the President to submit a report to Congress assessing the costs and benefits of establishing a fund to support private investment in Jordan.\n\nCaesar Syria Civilian Protection Act of 2019\n\nThe bill directs the Department of the Treasury to determine whether the Central Bank of Syria is a primary money-laundering concern and, if so, impose special measures on transactions involving the bank. The bill also imposes sanctions on individuals providing support for the Syrian government.\n\nCombating BDS Act of 2019\n\nThe bill allows a state or local government to adopt measures to divest its assets from entities using boycotts, divestments, or sanctions to influence Israel's policies. Such measures shall meet various requirements, including those related to written notice and comment.\ncompany_name: Alta Mesa Resources Inc\ncompany_description: We were originally formed in November 2016 as a special purpose acquisition company under the name Silver Run Acquisition Corporation II for the purpose of effecting an initial business combination. Simultaneously with the closing of our IPO, we completed the private sale of 15,133,333 warrants (the Private Placement Warrants) to Silver Run Sponsor II, LLC (the Sponsor) generating gross proceeds to us of $22,700,000. A total of $1.035 billion (including approximately $36.2 million in deferred underwriting commissions to the underwriters of the IPO), which represents $1.0143 billion of the proceeds from the IPO after d
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{"example_id": 2179, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2179\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To make improvements to certain defense and security assistance provisions and to authorize theappropriation of funds to Israel, to reauthorize the United States-Jordan Defense Cooperation Act of 2015, and to halt the wholesale slaughter of the Syrian people, and for other purposes.\nbill_summary: Strengthening America's Security in the Middle East Act of 2019\n\nThis bill authorizes assistance and weapons transfers to Israel, and extends defense cooperation with Jordan. It establishes additional sanctions related to the conflict in Syria, and allows states to divest from entities boycotting Israel.\n\nIleana Ros-Lehtinen United States-Israel Security Assistance Authorization Act of 2019\n\nThe bill reauthorizes through FY2028 Foreign Military Financing to Israel. It extends loan guarantees to Israel through FY2023, and authorizes the President to transfer precision-guided munitions to the country.\n\nThe bill directs the President to report on steps taken to help Israel secure a strategic trade authorization exception.\n\nUnited States-Jordan Defense Cooperation Extension Act\n\nThe bill extends through 2022 arrangements that allow certain defense articles to be transferred to Jordan on an expedited basis. The bill also directs the President to submit a report to Congress assessing the costs and benefits of establishing a fund to support private investment in Jordan.\n\nCaesar Syria Civilian Protection Act of 2019\n\nThe bill directs the Department of the Treasury to determine whether the Central Bank of Syria is a primary money-laundering concern and, if so, impose special measures on transactions involving the bank. The bill also imposes sanctions on individuals providing support for the Syrian government.\n\nCombating BDS Act of 2019\n\nThe bill allows a state or local government to adopt measures to divest its assets from entities using boycotts, divestments, or sanctions to influence Israel's policies. Such measures shall meet various requirements, including those related to written notice and comment.\ncompany_name: Alta Mesa Resources Inc\ncompany_description: We were originally formed in November 2016 as a special purpose acquisition company under the name Silver Run Acquisition Corporation II for the purpose of effecting an initial business combination. Simultaneously with the closing of our IPO, we completed the private sale of 15,133,333 warrants (the Private Placement Warrants) to Silver Run Sponsor II, LLC (the Sponsor) generating gross proceeds to us of $22,700,000. A total of $1.035 billion (including approximately $36.2 million in deferred underwriting commissions to the underwriters of the IPO), which represents $1.0143 billion of the proceeds from the IPO after d
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{"example_id": 2179, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2179\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To make improvements to certain defense and security assistance provisions and to authorize theappropriation of funds to Israel, to reauthorize the United States-Jordan Defense Cooperation Act of 2015, and to halt the wholesale slaughter of the Syrian people, and for other purposes.\nbill_summary: Strengthening America's Security in the Middle East Act of 2019\n\nThis bill authorizes assistance and weapons transfers to Israel, and extends defense cooperation with Jordan. It establishes additional sanctions related to the conflict in Syria, and allows states to divest from entities boycotting Israel.\n\nIleana Ros-Lehtinen United States-Israel Security Assistance Authorization Act of 2019\n\nThe bill reauthorizes through FY2028 Foreign Military Financing to Israel. It extends loan guarantees to Israel through FY2023, and authorizes the President to transfer precision-guided munitions to the country.\n\nThe bill directs the President to report on steps taken to help Israel secure a strategic trade authorization exception.\n\nUnited States-Jordan Defense Cooperation Extension Act\n\nThe bill extends through 2022 arrangements that allow certain defense articles to be transferred to Jordan on an expedited basis. The bill also directs the President to submit a report to Congress assessing the costs and benefits of establishing a fund to support private investment in Jordan.\n\nCaesar Syria Civilian Protection Act of 2019\n\nThe bill directs the Department of the Treasury to determine whether the Central Bank of Syria is a primary money-laundering concern and, if so, impose special measures on transactions involving the bank. The bill also imposes sanctions on individuals providing support for the Syrian government.\n\nCombating BDS Act of 2019\n\nThe bill allows a state or local government to adopt measures to divest its assets from entities using boycotts, divestments, or sanctions to influence Israel's policies. Such measures shall meet various requirements, including those related to written notice and comment.\ncompany_name: Alta Mesa Resources Inc\ncompany_description: We were originally formed in November 2016 as a special purpose acquisition company under the name Silver Run Acquisition Corporation II for the purpose of effecting an initial business combination. Simultaneously with the closing of our IPO, we completed the private sale of 15,133,333 warrants (the Private Placement Warrants) to Silver Run Sponsor II, LLC (the Sponsor) generating gross proceeds to us of $22,700,000. A total of $1.035 billion (including approximately $36.2 million in deferred underwriting commissions to the underwriters of the IPO), which represents $1.0143 billion of the proceeds from the IPO after d
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{"example_id": 2687, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2687\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 4. Your Content\nThe Services may contain information, text, links, graphics, photos, videos, or other materials (Content), including Content created or submitted to the Services by you or through your Account (Your Content). We take no responsibility for and we do not expressly or implicitly endorse, support, or guarantee the completeness, truthfulness, accuracy, or reliability of any of Your Content.\n\nBy submitting Your Content to the Services, you represent and warrant that you have all rights, power, and authority necessary to grant the rights to Your Content contained within these Terms. Because you alone are responsible for Your Content, you may expose yourself to liability if you post or share Content without all necessary rights.\n\nYou retain any ownership rights you have in Your Content, but you grant Reddit the following license to use that Content:\n\nWhen Your Content is created with or submitted to the Services, you grant us a worldwide, royalty-free, perpetual, irrevocable, non-exclusive, transferable, and sublicensable license to use, copy, modify, adapt, prepare derivative works of, distribute, store, perform, and display Your Content and any name, username, voice, or likeness provided in connection with Your Content in all media formats and channels now known or later developed anywhere in the world. This license includes the right for us to make Your Content available for syndication, broadcast, distribution, or publication by other companies, organizations, or individuals who partner with Reddit. You also agree that we may remove metadata associated with Your Content, and you irrevocably waive any claims and assertions of moral rights or attribution with respect to Your Content.\n\nAny ideas, suggestions, and feedback about Reddit or our Services that you provide to us are entirely voluntary, and you agree that Reddit may use such ideas, suggestions, and feedback without compensation or obligation to you.\n\nAlthough we have no obligation to screen, edit, or monitor Your Content, we may, in our sole discretion, delete or remove Your Content at any time and for any reason, including for violating these Terms, violating our Content Policy, or if you otherwise create or are likely to create liability for us.\nquestion: If I give Reddit a great commercial idea, can I demand payment for it?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2687_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"
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{"example_id": 2687, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2687\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 4. Your Content\nThe Services may contain information, text, links, graphics, photos, videos, or other materials (Content), including Content created or submitted to the Services by you or through your Account (Your Content). We take no responsibility for and we do not expressly or implicitly endorse, support, or guarantee the completeness, truthfulness, accuracy, or reliability of any of Your Content.\n\nBy submitting Your Content to the Services, you represent and warrant that you have all rights, power, and authority necessary to grant the rights to Your Content contained within these Terms. Because you alone are responsible for Your Content, you may expose yourself to liability if you post or share Content without all necessary rights.\n\nYou retain any ownership rights you have in Your Content, but you grant Reddit the following license to use that Content:\n\nWhen Your Content is created with or submitted to the Services, you grant us a worldwide, royalty-free, perpetual, irrevocable, non-exclusive, transferable, and sublicensable license to use, copy, modify, adapt, prepare derivative works of, distribute, store, perform, and display Your Content and any name, username, voice, or likeness provided in connection with Your Content in all media formats and channels now known or later developed anywhere in the world. This license includes the right for us to make Your Content available for syndication, broadcast, distribution, or publication by other companies, organizations, or individuals who partner with Reddit. You also agree that we may remove metadata associated with Your Content, and you irrevocably waive any claims and assertions of moral rights or attribution with respect to Your Content.\n\nAny ideas, suggestions, and feedback about Reddit or our Services that you provide to us are entirely voluntary, and you agree that Reddit may use such ideas, suggestions, and feedback without compensation or obligation to you.\n\nAlthough we have no obligation to screen, edit, or monitor Your Content, we may, in our sole discretion, delete or remove Your Content at any time and for any reason, including for violating these Terms, violating our Content Policy, or if you otherwise create or are likely to create liability for us.\nquestion: If I give Reddit a great commercial idea, can I demand payment for it?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2687_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role":
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{"example_id": 2687, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2687\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 4. Your Content\nThe Services may contain information, text, links, graphics, photos, videos, or other materials (Content), including Content created or submitted to the Services by you or through your Account (Your Content). We take no responsibility for and we do not expressly or implicitly endorse, support, or guarantee the completeness, truthfulness, accuracy, or reliability of any of Your Content.\n\nBy submitting Your Content to the Services, you represent and warrant that you have all rights, power, and authority necessary to grant the rights to Your Content contained within these Terms. Because you alone are responsible for Your Content, you may expose yourself to liability if you post or share Content without all necessary rights.\n\nYou retain any ownership rights you have in Your Content, but you grant Reddit the following license to use that Content:\n\nWhen Your Content is created with or submitted to the Services, you grant us a worldwide, royalty-free, perpetual, irrevocable, non-exclusive, transferable, and sublicensable license to use, copy, modify, adapt, prepare derivative works of, distribute, store, perform, and display Your Content and any name, username, voice, or likeness provided in connection with Your Content in all media formats and channels now known or later developed anywhere in the world. This license includes the right for us to make Your Content available for syndication, broadcast, distribution, or publication by other companies, organizations, or individuals who partner with Reddit. You also agree that we may remove metadata associated with Your Content, and you irrevocably waive any claims and assertions of moral rights or attribution with respect to Your Content.\n\nAny ideas, suggestions, and feedback about Reddit or our Services that you provide to us are entirely voluntary, and you agree that Reddit may use such ideas, suggestions, and feedback without compensation or obligation to you.\n\nAlthough we have no obligation to screen, edit, or monitor Your Content, we may, in our sole discretion, delete or remove Your Content at any time and for any reason, including for violating these Terms, violating our Content Policy, or if you otherwise create or are likely to create liability for us.\nquestion: If I give Reddit a great commercial idea, can I demand payment for it?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2687_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role":
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{"example_id": 2652, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2652\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Welcome to Facebook!\n\nFacebook builds technologies and services that enable people to connect with each other, build communities, and grow businesses. These Terms govern your use of Facebook, Messenger, and the other products, features, apps, services, technologies, and software we offer (the Facebook Products or Products), except where we expressly state that separate terms (and not these) apply. These Products are provided to you by Facebook, Inc.\n\nWe dont charge you to use Facebook or the other products and services covered by these Terms. Instead, businesses and organizations pay us to show you ads for their products and services. By using our Products, you agree that we can show you ads that we think will be relevant to you and your interests. We use your personal data to help determine which ads to show you.\n\nWe dont sell your personal data to advertisers, and we dont share information that directly identifies you (such as your name, email address or other contact information) with advertisers unless you give us specific permission. Instead, advertisers can tell us things like the kind of audience they want to see their ads, and we show those ads to people who may be interested. We provide advertisers with reports about the performance of their ads that help them understand how people are interacting with their content. See Section 2 below to learn more.\n\nOur Data Policy explains how we collect and use your personal data to determine some of the ads you see and provide all of the other services described below. You can also go to your settings at any time to review the privacy choices you have about how we use your data.\nquestion: Does Facebook require users to pay money for its services?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2652_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2652, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2652\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Welcome to Facebook!\n\nFacebook builds technologies and services that enable people to connect with each other, build communities, and grow businesses. These Terms govern your use of Facebook, Messenger, and the other products, features, apps, services, technologies, and software we offer (the Facebook Products or Products), except where we expressly state that separate terms (and not these) apply. These Products are provided to you by Facebook, Inc.\n\nWe dont charge you to use Facebook or the other products and services covered by these Terms. Instead, businesses and organizations pay us to show you ads for their products and services. By using our Products, you agree that we can show you ads that we think will be relevant to you and your interests. We use your personal data to help determine which ads to show you.\n\nWe dont sell your personal data to advertisers, and we dont share information that directly identifies you (such as your name, email address or other contact information) with advertisers unless you give us specific permission. Instead, advertisers can tell us things like the kind of audience they want to see their ads, and we show those ads to people who may be interested. We provide advertisers with reports about the performance of their ads that help them understand how people are interacting with their content. See Section 2 below to learn more.\n\nOur Data Policy explains how we collect and use your personal data to determine some of the ads you see and provide all of the other services described below. You can also go to your settings at any time to review the privacy choices you have about how we use your data.\nquestion: Does Facebook require users to pay money for its services?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2652_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2652_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Facebook states: 'We don't charge you to use Facebook or the other products and services covered by these Terms.'\",\n \"Businesses and organizations pay Facebook to show ads to users.\"\n ],\n \"task_type\": \"other\",\n \"decision_factors\": [\n \"Whether the contract explicitly says users don't pay.\",\n \"Whether any indirect payment requirement is imposed on users.\"\n ],\n \"knowledge_slots\": [\n \"Contract interpretation: explicit 'don't charge' typically means no user payment requir
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{"example_id": 74, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 74\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"'[P]unishment,' from the tie of the Founding through the present day, 'has always meant . . .\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_74_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 74, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 74\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"'[P]unishment,' from the tie of the Founding through the present day, 'has always meant . . .\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_74_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_74_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a quote about the meaning of 'punishment' from the Founding through present day.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text is considered a definition of 'punishment'\",\n \"Whether the text asserts that punishment has always meant the same thing\",\n \"Whether the text is taken as a statement about the concept's meaning rather than a definition in the modern sense\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks assess if a text provides a clear definition of a term.\",\n \"Legal definitions often have specific form and may be distinguished from historical statements.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not considered a formal definition of 'punishment'\",\n \"The text is interpreted as a historical observation rather than a definition\"\n ],\n \"less_relevant_if\": [\n \"The text is accepted as a definition because it states what punishment means\",\n \"The text is taken as a defining characteristic of punishment\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is considered a definition because it claims to state the meaning of 'punishment'\",\n \"The text is interpreted as asserting a consistent meaning that defines the term\"\n ],\n \"less_relevant_if\": [\n \"The text lacks the structure or clarity expected of a modern legal definition\",\n \"The text is too ambiguous or historical to be a definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific criteria for what constitutes a 'definition' in this classification task\",\n \"Whether the task expects a strict formal definition or accepts any statement of meaning\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2045, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2045\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To establish an improved Medicare for All national health insurance program.\nbill_summary: Medicare for All Act of 2019\n\nThis bill establishes a national health insurance program that is administered by the Department of Health and Human Services (HHS).\n\nAmong other requirements, the program must (1) cover all U.S. residents; (2) provide for automatic enrollment of individuals upon birth or residency in the United States; and (3) cover items and services that are medically necessary or appropriate to maintain health or to diagnose, treat, or rehabilitate a health condition, including hospital services, prescription drugs, mental health and substance abuse treatment, dental and vision services, and long-term care.\n\nThe bill prohibits cost-sharing (e.g., deductibles, coinsurance, and copayments) and other charges for covered services. Additionally, private health insurers and employers may only offer coverage that is supplemental to, and not duplicative of, benefits provided under the program.\n\nHealth insurance exchanges and specified federal health programs terminate upon program implementation. However, the program does not affect coverage provided through the Department of Veterans Affairs or the Indian Health Service.\n\nThe bill also establishes a series of implementing provisions relating to (1) health care provider participation; (2) HHS administration; and (3) payments and costs, including the requirement that HHS negotiate prices for prescription drugs.\n\nIndividuals who are age 18 or younger, age 55 or older, or already enrolled in Medicare may enroll in the program starting one year after enactment of this bill; other individuals may buy into the program at this time. The program must be fully implemented two years after enactment.\ncompany_name: Groupon, Inc.\ncompany_description: BUSINESS Groupon is a global leader in local commerce, making it easy for people around the world to search and discover great businesses and merchandise. Our vision is to connect local commerce, increasing consumer buying power while driving more business to merchants through price and discovery. We want Groupon to be the destination that consumers check first when they are out and about; the place they start when they are looking to buy just about anything, anywhere, anytime. We provide consumers with savings and help them discover what to do, eat, see, buy and where to travel. By bringing the brick and mortar world of local commerce onto the Internet, Groupon is helping local merchants to attract customers and sell goods and services. Groupon operates online local commerce marketplaces throughout the world that connect merchants to consumers by offering goods and services, generally at a discou
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{"example_id": 2045, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2045\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To establish an improved Medicare for All national health insurance program.\nbill_summary: Medicare for All Act of 2019\n\nThis bill establishes a national health insurance program that is administered by the Department of Health and Human Services (HHS).\n\nAmong other requirements, the program must (1) cover all U.S. residents; (2) provide for automatic enrollment of individuals upon birth or residency in the United States; and (3) cover items and services that are medically necessary or appropriate to maintain health or to diagnose, treat, or rehabilitate a health condition, including hospital services, prescription drugs, mental health and substance abuse treatment, dental and vision services, and long-term care.\n\nThe bill prohibits cost-sharing (e.g., deductibles, coinsurance, and copayments) and other charges for covered services. Additionally, private health insurers and employers may only offer coverage that is supplemental to, and not duplicative of, benefits provided under the program.\n\nHealth insurance exchanges and specified federal health programs terminate upon program implementation. However, the program does not affect coverage provided through the Department of Veterans Affairs or the Indian Health Service.\n\nThe bill also establishes a series of implementing provisions relating to (1) health care provider participation; (2) HHS administration; and (3) payments and costs, including the requirement that HHS negotiate prices for prescription drugs.\n\nIndividuals who are age 18 or younger, age 55 or older, or already enrolled in Medicare may enroll in the program starting one year after enactment of this bill; other individuals may buy into the program at this time. The program must be fully implemented two years after enactment.\ncompany_name: Groupon, Inc.\ncompany_description: BUSINESS Groupon is a global leader in local commerce, making it easy for people around the world to search and discover great businesses and merchandise. Our vision is to connect local commerce, increasing consumer buying power while driving more business to merchants through price and discovery. We want Groupon to be the destination that consumers check first when they are out and about; the place they start when they are looking to buy just about anything, anywhere, anytime. We provide consumers with savings and help them discover what to do, eat, see, buy and where to travel. By bringing the brick and mortar world of local commerce onto the Internet, Groupon is helping local merchants to attract customers and sell goods and services. Groupon operates online local commerce marketplaces throughout the world that connect merchants to consumers by offering goods and services, generally at a discou
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{"example_id": 1157, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1157\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn a case like this one, recovery should be available under § 1983 if a complainant can demonstrate that an officer exploited his pain and suffering with the purpose and intent of securing an incriminating statement.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1157_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1157, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1157\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn a case like this one, recovery should be available under § 1983 if a complainant can demonstrate that an officer exploited his pain and suffering with the purpose and intent of securing an incriminating statement.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1157_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1157_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Recovery under § 1983 is available if a complainant demonstrates that an officer exploited his pain and suffering with the purpose and intent of securing an incriminating statement.\"\n ],\n \"missing_info\": [\n \"The legal definition or criteria for classification into 'Yes' or 'No' labels is not provided.\",\n \"The specific standard or precedent that defines whether such conduct constitutes a valid § 1983 claim is unknown.\"\n ],\n \"context_summary\": \"The text asserts that recovery under § 1983 is available if a complainant shows an officer exploited pain and suffering with intent to secure an incriminating statement.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1157_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1157, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1157\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn a case like this one, recovery should be available under § 1983 if a complainant can demonstrate that an officer exploited his pain and suffering with the purpose and intent of securing an incriminating statement.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1157_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1157_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Recovery under § 1983 is available if a complainant demonstrates that an officer exploited his pain and suffering with the purpose and intent of securing an incriminating statement.\"\n ],\n \"missing_info\": [\n \"The legal definition or criteria for classification into 'Yes' or 'No' labels is not provided.\",\n \"The specific standard or precedent that defines whether such conduct constitutes a valid § 1983 claim is unknown.\"\n ],\n \"context_summary\": \"The text asserts that recovery under § 1983 is available if a complainant shows an officer exploited pain and suffering with intent to secure an incriminating statement.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1157_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1157_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Recovery under § 1983 requires demonstrating that an officer exploited pain and suffering with purpose and intent to secure an incriminating statement.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text states a legal condition or its negation\",\n \"Whether the text asserts or denies a rule of law\"\n ],\n \"knowledge_slots\": [\n \"§ 1983 claims require proof of deliberate intent to use pain\",\n \"Legal definitions often specify elements; 'should be available if' typically defines a rule\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text states a condition that is not a definition, such as a consequence or exception\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines when a legal rule applies\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text provides a clear definition of when recovery is available under § 1983\"\n ],\n
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{"example_id": 2326, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2326\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to restore the application of the Federal antitrust laws to the business of health insurance to protect competition and consumers.\nbill_summary: Competitive Health Insurance Reform Act of 2019\n\nThis bill declares that nothing in the McCarran-Ferguson Act modifies, impairs, or supersedes the operation of antitrust laws with respect to the business of health insurance, including the business of dental insurance. This declaration does not apply to a contract, combination, or conspiracy to (1) collect, compile, or disseminate historical loss data; (2) determine a loss development factor for historical loss data; (3) perform actuarial services if the collaboration does not involve a restraint of trade; or (4) develop or disseminate a standard insurance policy form if adherence to the form is not required.\n\nProhibitions against unfair methods of competition apply to the business of health insurance without regard to whether the business is for profit.\ncompany_name: Everest Re Group Ltd.\ncompany_description: Group, a Bermuda company, was established in 1999 as a wholly-owned subsidiary of Holdings. Holdings continues to be the holding company for the Company's U.S. based operations. Holdings Ireland is a direct subsidiary of Group and was established to serve as a holding company for the U.S. and Irish reinsurance and insurance subsidiaries. Effective July 1, 2016, the Company established a new Irish holding company, Everest Dublin Insurance Holdings Limited (Ireland) Until October 6, 1995, Holdings was an indirect wholly-owned subsidiary of The Prudential Insurance Company of America (\"The Prudential\"). During the fourth quarter of 2017, the Company established a new Irish insurance subsidiary, Everest Insurance Ireland, designated activity company (\"Ireland Insurance\"), which will write insurance business mainly in the European markets. During the third quarter of 2016, the Company established domestic subsidiaries, Everest Premier Insurance Company (\"Everest Premier\") and Everest Denali Insurance Company (\"Everest Denali\"), which will be used in the continued expansion of the Insurance operations. Effective August 24, 2016, the Company sold its wholly-owned subsidiary, Heartland Crop Insurance Company (\"Heartland\"), a managing agent for crop insurance, to CGB Diversified Services, Inc. (\"Preferred International\"), a Bermuda based company and Everest International Holdings (Bermuda) These new subsidiaries were part of a capital restructuring within the Company to support a planned increase in international business production, which includes directly supporting Group's Lloyd's of London Syndicate corporate member. The Company's principal business, conducted through its ope
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{"example_id": 2326, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2326\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to restore the application of the Federal antitrust laws to the business of health insurance to protect competition and consumers.\nbill_summary: Competitive Health Insurance Reform Act of 2019\n\nThis bill declares that nothing in the McCarran-Ferguson Act modifies, impairs, or supersedes the operation of antitrust laws with respect to the business of health insurance, including the business of dental insurance. This declaration does not apply to a contract, combination, or conspiracy to (1) collect, compile, or disseminate historical loss data; (2) determine a loss development factor for historical loss data; (3) perform actuarial services if the collaboration does not involve a restraint of trade; or (4) develop or disseminate a standard insurance policy form if adherence to the form is not required.\n\nProhibitions against unfair methods of competition apply to the business of health insurance without regard to whether the business is for profit.\ncompany_name: Everest Re Group Ltd.\ncompany_description: Group, a Bermuda company, was established in 1999 as a wholly-owned subsidiary of Holdings. Holdings continues to be the holding company for the Company's U.S. based operations. Holdings Ireland is a direct subsidiary of Group and was established to serve as a holding company for the U.S. and Irish reinsurance and insurance subsidiaries. Effective July 1, 2016, the Company established a new Irish holding company, Everest Dublin Insurance Holdings Limited (Ireland) Until October 6, 1995, Holdings was an indirect wholly-owned subsidiary of The Prudential Insurance Company of America (\"The Prudential\"). During the fourth quarter of 2017, the Company established a new Irish insurance subsidiary, Everest Insurance Ireland, designated activity company (\"Ireland Insurance\"), which will write insurance business mainly in the European markets. During the third quarter of 2016, the Company established domestic subsidiaries, Everest Premier Insurance Company (\"Everest Premier\") and Everest Denali Insurance Company (\"Everest Denali\"), which will be used in the continued expansion of the Insurance operations. Effective August 24, 2016, the Company sold its wholly-owned subsidiary, Heartland Crop Insurance Company (\"Heartland\"), a managing agent for crop insurance, to CGB Diversified Services, Inc. (\"Preferred International\"), a Bermuda based company and Everest International Holdings (Bermuda) These new subsidiaries were part of a capital restructuring within the Company to support a planned increase in international business production, which includes directly supporting Group's Lloyd's of London Syndicate corporate member. The Company's principal business, conducted through its ope
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{"example_id": 2326, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2326\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to restore the application of the Federal antitrust laws to the business of health insurance to protect competition and consumers.\nbill_summary: Competitive Health Insurance Reform Act of 2019\n\nThis bill declares that nothing in the McCarran-Ferguson Act modifies, impairs, or supersedes the operation of antitrust laws with respect to the business of health insurance, including the business of dental insurance. This declaration does not apply to a contract, combination, or conspiracy to (1) collect, compile, or disseminate historical loss data; (2) determine a loss development factor for historical loss data; (3) perform actuarial services if the collaboration does not involve a restraint of trade; or (4) develop or disseminate a standard insurance policy form if adherence to the form is not required.\n\nProhibitions against unfair methods of competition apply to the business of health insurance without regard to whether the business is for profit.\ncompany_name: Everest Re Group Ltd.\ncompany_description: Group, a Bermuda company, was established in 1999 as a wholly-owned subsidiary of Holdings. Holdings continues to be the holding company for the Company's U.S. based operations. Holdings Ireland is a direct subsidiary of Group and was established to serve as a holding company for the U.S. and Irish reinsurance and insurance subsidiaries. Effective July 1, 2016, the Company established a new Irish holding company, Everest Dublin Insurance Holdings Limited (Ireland) Until October 6, 1995, Holdings was an indirect wholly-owned subsidiary of The Prudential Insurance Company of America (\"The Prudential\"). During the fourth quarter of 2017, the Company established a new Irish insurance subsidiary, Everest Insurance Ireland, designated activity company (\"Ireland Insurance\"), which will write insurance business mainly in the European markets. During the third quarter of 2016, the Company established domestic subsidiaries, Everest Premier Insurance Company (\"Everest Premier\") and Everest Denali Insurance Company (\"Everest Denali\"), which will be used in the continued expansion of the Insurance operations. Effective August 24, 2016, the Company sold its wholly-owned subsidiary, Heartland Crop Insurance Company (\"Heartland\"), a managing agent for crop insurance, to CGB Diversified Services, Inc. (\"Preferred International\"), a Bermuda based company and Everest International Holdings (Bermuda) These new subsidiaries were part of a capital restructuring within the Company to support a planned increase in international business production, which includes directly supporting Group's Lloyd's of London Syndicate corporate member. The Company's principal business, conducted through its ope
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{"example_id": 822, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 822\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere is still to be considered whether events during the years of statehood have worked a change of ownership.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_822_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 822, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 822\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere is still to be considered whether events during the years of statehood have worked a change of ownership.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_822_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_822_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text: 'There is still to be considered whether events during the years of statehood have worked a change of ownership.'\",\n \"The text presents a question about whether events caused a change of ownership.\",\n \"No context is provided.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text itself provides a definitive answer or merely poses a question.\",\n \"The presence of phrases like 'still to be considered' and 'have worked a change' that indicate deliberation rather than assertion.\",\n \"The overall structure as a conditional or interrogative statement.\"\n ],\n \"knowledge_slots\": [\n \"Definition_classification tasks assess if the text exemplifies a given definition.\",\n \"The label 'No' typically applies if the text does not match the definition criteria.\",\n \"The label 'Yes' applies if the text clearly matches the definition.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not a clear instance of the definition being tested.\",\n \"The text is phrased as a pending consideration rather than a declarative statement.\"\n ],\n \"less_relevant_if\": [\n \"The definition includes interrogative or deliberative structures.\",\n \"The text's primary function is to raise a question that fits the definition.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text's form and content align with the definition's criteria.\",\n \"The definition encompasses statements that pose questions or consider changes.\"\n ],\n \"less_relevant_if\": [\n \"The definition requires a direct assertion rather than a conditional or open-ended question.\",\n \"The text lacks definitive language.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text is being classified against.\",\n \"Context about what 'statehood' and 'ownership' refer in this scenario.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assista
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{"example_id": 1313, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1313\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFirst, punitive damages “are assessed for the avowed purpose of visiting a punishment upon the defendant.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1313_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1313, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1313\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFirst, punitive damages “are assessed for the avowed purpose of visiting a punishment upon the defendant.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1313_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1313_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text states punitive damages are assessed for the purpose of visiting punishment upon the defendant\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches the implicit definition that is being tested\",\n \"Whether the text contains language that aligns with or contradicts the expected classification label\"\n ],\n \"knowledge_slots\": [\n \"Punitive damages are intended to punish the defendant, distinct from compensatory damages\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the definition that is being tested\",\n \"The statement is false or misleading given the legal definition\"\n ],\n \"less_relevant_if\": [\n \"The text accurately reflects the legal purpose of punitive damages\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text correctly describes the purpose of punitive damages\",\n \"The statement aligns with the definition being tested\"\n ],\n \"less_relevant_if\": [\n \"The text contains inaccuracies about how punitive damages are assessed\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text is being classified against (e.g., whether it is about purpose, calculation, etc.)\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 774, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 774\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe Special Master rejected that argument, Report 96, and Maryland does not pursue it before this Court.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_774_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 774, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 774\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe Special Master rejected that argument, Report 96, and Maryland does not pursue it before this Court.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_774_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_774_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The Special Master rejected an argument (Report 96)\",\n \"Maryland does not pursue the argument before this Court\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text indicates the argument is not valid\",\n \"Whether the text indicates the argument is not pursued\",\n \"Whether the label 'No' or 'Yes' aligns with the rejection\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'rejected' typically means the argument is not accepted\",\n \"Classification tasks may map rejection to 'No' and acceptance to 'Yes'\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The classification expects 'No' to indicate the argument is rejected\"\n ],\n \"less_relevant_if\": [\n \"The classification expects 'No' to indicate the argument is accepted\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The classification expects 'Yes' to indicate the argument is accepted\"\n ],\n \"less_relevant_if\": [\n \"The classification expects 'Yes' to indicate the argument is rejected\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition being classified (e.g., what 'Yes' or 'No' represents)\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2480, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2480\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 20.1 Choice of Law and Forum. This Agreement shall be governed by and construed under the laws of the State of California, U.S.A., as applied to agreements entered into and to be performed in California by California residents. Except as provided in Exhibit A, the Parties consent to the exclusive jurisdiction and venue of the state courts located in and serving Santa Clara County, California and the federal courts in the Northern District of California.\n\n20.2 Contracting Entity. In the event Your Zoom account reflects a bill to/sold to address in India, the contracting entity under these TOS shall be Zooms Affiliate, ZVC India Pvt. Ltd.\n\n20.3 Waiver and Severability. Failure by either Party to exercise any of its rights under, or to enforce any provision of, this Agreement will not be deemed a waiver or forfeiture of such rights or ability to enforce such provision. If any provision of this Agreement is held by a court of competent jurisdiction to be illegal, invalid or unenforceable, that provision will be amended to achieve as nearly as possible the same economic effect of the original provision and the remainder of this Agreement will remain in full force and effect.\n\n20.4 General Provisions. This Agreement embodies the entire understanding and agreement between the Parties respecting the subject matter of this Agreement and supersedes any and all prior understandings and agreements between the Parties respecting such subject matter, except that if You or Your company have executed a separate written agreement or you have signed an order form referencing a separate agreement governing your use of the Services, then such agreement shall control to the extent that any provision of this Agreement conflicts with the terms of such agreement. Zoom may elect to change or supplement the terms of this Agreement from time to time at its sole discretion. Zoom will exercise commercially reasonable business efforts to provide notice to You of any material changes to this Agreement. Within ten (10) business days of posting changes to this Agreement (or ten (10) business days from the date of notice, if such is provided), they will be binding on You. If You do not agree with the changes, You should discontinue using the Services. If You continue using the Services after such ten-business-day period, You will be deemed to have accepted the changes to the terms of this Agreement. In order to participate in certain Services, You may be notified that You are required to download software and/or agree to additional terms and conditions. Unless expressly set forth in such additional terms and conditions, those additional terms are hereby incorporated into this Agreement. This Agreement has been prepared in
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{"example_id": 2480, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2480\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 20.1 Choice of Law and Forum. This Agreement shall be governed by and construed under the laws of the State of California, U.S.A., as applied to agreements entered into and to be performed in California by California residents. Except as provided in Exhibit A, the Parties consent to the exclusive jurisdiction and venue of the state courts located in and serving Santa Clara County, California and the federal courts in the Northern District of California.\n\n20.2 Contracting Entity. In the event Your Zoom account reflects a bill to/sold to address in India, the contracting entity under these TOS shall be Zooms Affiliate, ZVC India Pvt. Ltd.\n\n20.3 Waiver and Severability. Failure by either Party to exercise any of its rights under, or to enforce any provision of, this Agreement will not be deemed a waiver or forfeiture of such rights or ability to enforce such provision. If any provision of this Agreement is held by a court of competent jurisdiction to be illegal, invalid or unenforceable, that provision will be amended to achieve as nearly as possible the same economic effect of the original provision and the remainder of this Agreement will remain in full force and effect.\n\n20.4 General Provisions. This Agreement embodies the entire understanding and agreement between the Parties respecting the subject matter of this Agreement and supersedes any and all prior understandings and agreements between the Parties respecting such subject matter, except that if You or Your company have executed a separate written agreement or you have signed an order form referencing a separate agreement governing your use of the Services, then such agreement shall control to the extent that any provision of this Agreement conflicts with the terms of such agreement. Zoom may elect to change or supplement the terms of this Agreement from time to time at its sole discretion. Zoom will exercise commercially reasonable business efforts to provide notice to You of any material changes to this Agreement. Within ten (10) business days of posting changes to this Agreement (or ten (10) business days from the date of notice, if such is provided), they will be binding on You. If You do not agree with the changes, You should discontinue using the Services. If You continue using the Services after such ten-business-day period, You will be deemed to have accepted the changes to the terms of this Agreement. In order to participate in certain Services, You may be notified that You are required to download software and/or agree to additional terms and conditions. Unless expressly set forth in such additional terms and conditions, those additional terms are hereby incorporated into this Agreement. This Agreement has been prepared in
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{"example_id": 2480, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2480\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 20.1 Choice of Law and Forum. This Agreement shall be governed by and construed under the laws of the State of California, U.S.A., as applied to agreements entered into and to be performed in California by California residents. Except as provided in Exhibit A, the Parties consent to the exclusive jurisdiction and venue of the state courts located in and serving Santa Clara County, California and the federal courts in the Northern District of California.\n\n20.2 Contracting Entity. In the event Your Zoom account reflects a bill to/sold to address in India, the contracting entity under these TOS shall be Zooms Affiliate, ZVC India Pvt. Ltd.\n\n20.3 Waiver and Severability. Failure by either Party to exercise any of its rights under, or to enforce any provision of, this Agreement will not be deemed a waiver or forfeiture of such rights or ability to enforce such provision. If any provision of this Agreement is held by a court of competent jurisdiction to be illegal, invalid or unenforceable, that provision will be amended to achieve as nearly as possible the same economic effect of the original provision and the remainder of this Agreement will remain in full force and effect.\n\n20.4 General Provisions. This Agreement embodies the entire understanding and agreement between the Parties respecting the subject matter of this Agreement and supersedes any and all prior understandings and agreements between the Parties respecting such subject matter, except that if You or Your company have executed a separate written agreement or you have signed an order form referencing a separate agreement governing your use of the Services, then such agreement shall control to the extent that any provision of this Agreement conflicts with the terms of such agreement. Zoom may elect to change or supplement the terms of this Agreement from time to time at its sole discretion. Zoom will exercise commercially reasonable business efforts to provide notice to You of any material changes to this Agreement. Within ten (10) business days of posting changes to this Agreement (or ten (10) business days from the date of notice, if such is provided), they will be binding on You. If You do not agree with the changes, You should discontinue using the Services. If You continue using the Services after such ten-business-day period, You will be deemed to have accepted the changes to the terms of this Agreement. In order to participate in certain Services, You may be notified that You are required to download software and/or agree to additional terms and conditions. Unless expressly set forth in such additional terms and conditions, those additional terms are hereby incorporated into this Agreement. This Agreement has been prepared in
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{"example_id": 170, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 170\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe word “willful” is defined in Black's Law Dictionary as “voluntary” or “intentional.” Black's Law Dictionary 1434 (5th ed.1979).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_170_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 170, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 170\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe word “willful” is defined in Black's Law Dictionary as “voluntary” or “intentional.” Black's Law Dictionary 1434 (5th ed.1979).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_170_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_170_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition identification rule: A text is a definition if it explicitly states that a term means something, typically with a defining source.\",\n \"source\": \"LegalBench definition classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a term being defined\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'The word \\\"willful\\\"' as the term.\"\n },\n {\n \"element\": \"Text contains a definition phrase (e.g., 'is defined as', 'means')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says 'is defined in Black's Law Dictionary as \\\"voluntary\\\" or \\\"intentional.\\\"'\"\n },\n {\n \"element\": \"Text cites an authoritative source for the definition\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It cites 'Black's Law Dictionary 1434 (5th ed.1979).'\"\n }\n ],\n \"conclusion_logic\": \"If a text includes a specific term, a defining phrase like 'is defined as', and a citation to an authoritative source, then it falls into the category for definition; otherwise it falls into the other category.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_170_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 170, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 170\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe word “willful” is defined in Black's Law Dictionary as “voluntary” or “intentional.” Black's Law Dictionary 1434 (5th ed.1979).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_170_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_170_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition identification rule: A text is a definition if it explicitly states that a term means something, typically with a defining source.\",\n \"source\": \"LegalBench definition classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a term being defined\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'The word \\\"willful\\\"' as the term.\"\n },\n {\n \"element\": \"Text contains a definition phrase (e.g., 'is defined as', 'means')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says 'is defined in Black's Law Dictionary as \\\"voluntary\\\" or \\\"intentional.\\\"'\"\n },\n {\n \"element\": \"Text cites an authoritative source for the definition\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It cites 'Black's Law Dictionary 1434 (5th ed.1979).'\"\n }\n ],\n \"conclusion_logic\": \"If a text includes a specific term, a defining phrase like 'is defined as', and a citation to an authoritative source, then it falls into the category for definition; otherwise it falls into the other category.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_170_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_170_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines the word 'willful' using Black's Law Dictionary\",\n \"Definition provided as 'voluntary' or 'intentional'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states a definition of a term\",\n \"Whether the text cites a standard legal dictionary\",\n \"Whether the text provides a direct mapping from word to meaning\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks identify if a text gives the meaning of a word or phrase\",\n \"Legal dictionaries are authoritative sources for statutory terms\"\n
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{"example_id": 2334, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2334\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Surface Mining Control and Reclamation Act of 1977 to include certain retirees in the Multiemployer Health Benefit Plan, and for other purposes.\nbill_summary: Health Benefits for Miners Act of 2019\n\nThis bill requires the Department of the Treasury to transfer additional funds to provide health benefits for retired coal miners. The bill adds miners affected by 2018 coal company bankruptcies to the group whose retiree health benefits are taken into account in determining the amount that Treasury must transfer under current law to the Multiemployer Health Benefit Plan.\ncompany_name: Alliance Resource Partners LP\ncompany_description: We are a diversified natural resource company that generates income from coal production and oil & gas mineral interests located in strategic producing regions across the United States. We are currently the second largest coal producer in the eastern United States with eight underground mining complexes in Illinois, Indiana, Kentucky, Maryland and West Virginia as well as a coal loading terminal in Indiana. We market our coal production to major domestic and international utilities and industrial users. We have grown historically primarily through expansion of our coal operations by adding and developing mines and coal reserves in these regions. In addition, we generate royalty income from mineral interests we own in premier oil & gas producing regions in the United States, primarily the Anadarko, Permian, Williston and Appalachian basins. Pursuant to that transaction, which closed on the same date, MGP contributed to ARLP all of its incentive distribution rights (\"IDRs\") and its 0.99% managing general partner interest in ARLP in exchange for 56,100,000 ARLP common units and a non-economic general partner interest in ARLP. AHGP would become a wholly owned subsidiary of ARLP, ii. The remaining AHGP common units held by the Owners of SGP were canceled and converted into the right to receive 29,188,997 ARLP common units which equaled (i) the product of the number of certain AHGP common units held by the Owners of SGP multiplied by 1.4782, minus (ii) 1,322,388 ARLP common units. In addition, ARLP issued 1,322,388 ARLP common units to the Owners of SGP in exchange for causing SGP to contribute to ARLP its remaining limited partner interest in AHGP, which included AHGP's indirect ownership of a 1.0001% general partner interest in the Intermediate Partnership and a 0.001% managing member interest in Alliance Coal, resulting in an overall exchange ratio to the Owners of SGP equal to that of the other AHGP unitholders. Upon the issuance of ARLP common units to the Owners of SGP in exchange for the limited partner interest in AHGP, ARLP became a) the sole li
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{"example_id": 2334, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2334\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Surface Mining Control and Reclamation Act of 1977 to include certain retirees in the Multiemployer Health Benefit Plan, and for other purposes.\nbill_summary: Health Benefits for Miners Act of 2019\n\nThis bill requires the Department of the Treasury to transfer additional funds to provide health benefits for retired coal miners. The bill adds miners affected by 2018 coal company bankruptcies to the group whose retiree health benefits are taken into account in determining the amount that Treasury must transfer under current law to the Multiemployer Health Benefit Plan.\ncompany_name: Alliance Resource Partners LP\ncompany_description: We are a diversified natural resource company that generates income from coal production and oil & gas mineral interests located in strategic producing regions across the United States. We are currently the second largest coal producer in the eastern United States with eight underground mining complexes in Illinois, Indiana, Kentucky, Maryland and West Virginia as well as a coal loading terminal in Indiana. We market our coal production to major domestic and international utilities and industrial users. We have grown historically primarily through expansion of our coal operations by adding and developing mines and coal reserves in these regions. In addition, we generate royalty income from mineral interests we own in premier oil & gas producing regions in the United States, primarily the Anadarko, Permian, Williston and Appalachian basins. Pursuant to that transaction, which closed on the same date, MGP contributed to ARLP all of its incentive distribution rights (\"IDRs\") and its 0.99% managing general partner interest in ARLP in exchange for 56,100,000 ARLP common units and a non-economic general partner interest in ARLP. AHGP would become a wholly owned subsidiary of ARLP, ii. The remaining AHGP common units held by the Owners of SGP were canceled and converted into the right to receive 29,188,997 ARLP common units which equaled (i) the product of the number of certain AHGP common units held by the Owners of SGP multiplied by 1.4782, minus (ii) 1,322,388 ARLP common units. In addition, ARLP issued 1,322,388 ARLP common units to the Owners of SGP in exchange for causing SGP to contribute to ARLP its remaining limited partner interest in AHGP, which included AHGP's indirect ownership of a 1.0001% general partner interest in the Intermediate Partnership and a 0.001% managing member interest in Alliance Coal, resulting in an overall exchange ratio to the Owners of SGP equal to that of the other AHGP unitholders. Upon the issuance of ARLP common units to the Owners of SGP in exchange for the limited partner interest in AHGP, ARLP became a) the sole li
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{"example_id": 441, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 441\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe latest edition of Black's Law Dictionary available when Congress enacted the Privacy Act defined 'actual damages' as…...\" But this general (and notably circular) definition is of little value here because, as the Court of Appeals accurately observed, the precise meaning of the term 'changes with the specific statute in which it is found.'\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_441_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 441, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 441\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe latest edition of Black's Law Dictionary available when Congress enacted the Privacy Act defined 'actual damages' as…...\" But this general (and notably circular) definition is of little value here because, as the Court of Appeals accurately observed, the precise meaning of the term 'changes with the specific statute in which it is found.'\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_441_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_441_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses definition of 'actual damages' from Black's Law Dictionary\",\n \"Text cites Court of Appeals observation that meaning changes with statute\",\n \"Text is评价 of a definition's usefulness\"\n ],\n \"task_type\": \"definition_evaluation\",\n \"decision_factors\": [\n \"Whether the text itself provides a clear, fixed definition of a term\",\n \"Whether the text questions or undermines the usefulness of a given definition\",\n \"Whether the text is an example of a definition or a critique of one\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks assess if a text defines a term or not\",\n \"Legal definitions may be revised or context-dependent\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text primarily critiques the definition's adequacy rather than providing a new one\"\n ],\n \"less_relevant_if\": [\n \"The text contains an explicit definition from a legal dictionary\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text includes a direct definition from a standard legal source\"\n ],\n \"less_relevant_if\": [\n \"The text focuses on the changing meaning across statutes rather than offering a static definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific classification label being applied (e.g., whether 'Yes' means 'is a definition' or 'is a counterexample')\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2151, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2151\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Federal Food, Drug, and Cosmetic Act to allow for the personal importation of safe and affordable drugs from approved pharmacies in Canada.\nbill_summary: Safe and Affordable Drugs from Canada Act of 2019 \n\nThis bill requires the Food and Drug Administration (FDA)to promulgate regulations within 180 days permitting individuals to import a prescription drug purchased from an approved Canadian pharmacy if the drug\n\n is dispensed by a pharmacist licensed in Canada; is purchased for personal use in quantities not greater than a 90-day supply; is filled using a valid prescription issued by a physician licensed to practice in the United States; and has the same active ingredients, route of administration, dosage form, and strength as a prescription drug approved by the FDA. Under the bill, certain drugs may not be imported, including controlled substances and biological products.\n\nThe bill establishes a certification process for approving Canadian pharmacies. The FDA must publish a list of approved Canadian pharmacies.\ncompany_name: Aduro BioTech, Inc.\ncompany_description: We are an immunotherapy company focused on the discovery, development and commercialization of therapies that transform the treatment of challenging diseases, including cancer. We believe our three technology platforms are uniquely positioned to recruit and direct the immune system by activating cancer-fighting immune cells and inhibiting immune suppressive cells known to allow tumor growth. Product candidates from our STING Pathway Activator, B-select monoclonal antibody, and LADD, or Live, Attenuated, Double-Deleted Listeria monocytogenes platforms are designed to stimulate and/or regulate innate and adaptive immune responses, either as single agents or in combination with conventional therapies (i.e. chemotherapy and radiation) as well as other novel immunotherapies. Our diverse technology platforms have led to a strong pipeline of clinical and preclinical candidates, which are being developed for a number of cancer indications. Additionally, our platforms have the potential to generate product candidates that address other therapeutic areas, such as autoimmune and infectious diseases. Immuno-oncology is an emerging field of cancer therapy that aims to activate the immune system in the tumor microenvironment to create and enhance anti-tumor immune responses, as well as to overcome the immuno-suppressive mechanisms that cancer cells have developed against the immune system. Recent developments in the field of immuno-oncology, including checkpoint inhibitors—therapies which work to remove suppression mechanisms that prevent an immune response against cancer cells—have shown the potential to provide e
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{"example_id": 2151, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2151\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Federal Food, Drug, and Cosmetic Act to allow for the personal importation of safe and affordable drugs from approved pharmacies in Canada.\nbill_summary: Safe and Affordable Drugs from Canada Act of 2019 \n\nThis bill requires the Food and Drug Administration (FDA)to promulgate regulations within 180 days permitting individuals to import a prescription drug purchased from an approved Canadian pharmacy if the drug\n\n is dispensed by a pharmacist licensed in Canada; is purchased for personal use in quantities not greater than a 90-day supply; is filled using a valid prescription issued by a physician licensed to practice in the United States; and has the same active ingredients, route of administration, dosage form, and strength as a prescription drug approved by the FDA. Under the bill, certain drugs may not be imported, including controlled substances and biological products.\n\nThe bill establishes a certification process for approving Canadian pharmacies. The FDA must publish a list of approved Canadian pharmacies.\ncompany_name: Aduro BioTech, Inc.\ncompany_description: We are an immunotherapy company focused on the discovery, development and commercialization of therapies that transform the treatment of challenging diseases, including cancer. We believe our three technology platforms are uniquely positioned to recruit and direct the immune system by activating cancer-fighting immune cells and inhibiting immune suppressive cells known to allow tumor growth. Product candidates from our STING Pathway Activator, B-select monoclonal antibody, and LADD, or Live, Attenuated, Double-Deleted Listeria monocytogenes platforms are designed to stimulate and/or regulate innate and adaptive immune responses, either as single agents or in combination with conventional therapies (i.e. chemotherapy and radiation) as well as other novel immunotherapies. Our diverse technology platforms have led to a strong pipeline of clinical and preclinical candidates, which are being developed for a number of cancer indications. Additionally, our platforms have the potential to generate product candidates that address other therapeutic areas, such as autoimmune and infectious diseases. Immuno-oncology is an emerging field of cancer therapy that aims to activate the immune system in the tumor microenvironment to create and enhance anti-tumor immune responses, as well as to overcome the immuno-suppressive mechanisms that cancer cells have developed against the immune system. Recent developments in the field of immuno-oncology, including checkpoint inhibitors—therapies which work to remove suppression mechanisms that prevent an immune response against cancer cells—have shown the potential to provide e
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{"example_id": 1263, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1263\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nCounsel can curb an officer’s overbearing conduct, advise a suspect of his rights, and ensure that there is an accurate record of any interrogation.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1263_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1263, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1263\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nCounsel can curb an officer’s overbearing conduct, advise a suspect of his rights, and ensure that there is an accurate record of any interrogation.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1263_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1263_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Counsel can curb an officer's overbearing conduct.\",\n \"Counsel can advise a suspect of his rights.\",\n \"Counsel can ensure an accurate record of any interrogation.\"\n ],\n \"missing_info\": [\n \"The specific definition or category that the text is meant to be classified into is not provided.\"\n ],\n \"context_summary\": \"The text describes three roles of counsel: curbing officer overbearing conduct, advising suspect of rights, and ensuring accurate interrogation record.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1263_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1263, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1263\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nCounsel can curb an officer’s overbearing conduct, advise a suspect of his rights, and ensure that there is an accurate record of any interrogation.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1263_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1263_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Counsel can curb an officer's overbearing conduct.\",\n \"Counsel can advise a suspect of his rights.\",\n \"Counsel can ensure an accurate record of any interrogation.\"\n ],\n \"missing_info\": [\n \"The specific definition or category that the text is meant to be classified into is not provided.\"\n ],\n \"context_summary\": \"The text describes three roles of counsel: curbing officer overbearing conduct, advising suspect of rights, and ensuring accurate interrogation record.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1263_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1263_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes actions counsel can perform: curb officer conduct, advise suspect of rights, ensure accurate interrogation record.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text aligns with the legal definition being tested.\",\n \"Whether the actions mentioned are typically within the scope of attorney duties.\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'counsel' in interrogation context.\",\n \"Common duties of attorney during police interrogation.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not match the target definition's criteria.\",\n \"Actions described are outside the definition's scope.\"\n ],\n \"less_relevant_if\": [\n \"Text closely matches the definition.\",\n \"Actions are central to the definition.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text matches the target definition.\",\n \"Actions described are within the definition's scope.\"\n ],\n \"less_relevant_if\": [\n \"Text does not match the definition.\",\n \"Actions are outside the definition.\"\n ]\n }\n ],\n \"missing_i
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{"example_id": 1655, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1655\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 137\nParagraph: In sum, we conclude that the admission of the autopsy report at Garlick's trial through a surrogate witness was an unreasonable application of clearly established Supreme Court precedent. Accordingly, we AFFIRM the judgment of the district court.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1655_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1655, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1655\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 137\nParagraph: In sum, we conclude that the admission of the autopsy report at Garlick's trial through a surrogate witness was an unreasonable application of clearly established Supreme Court precedent. Accordingly, we AFFIRM the judgment of the district court.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1655_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1655_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Judicial opinion section classification based on function: Conclusion sections contain the court's final decision and rationale for affirming or reversing.\",\n \"source\": \"Common legal writing conventions (e.g., Garner's Legal Writing in Plain English)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text expresses a final disposition (affirm, reverse, etc.).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'we AFFIRM the judgment of the district court.'\"\n },\n {\n \"element\": \"Text provides reasoning for the disposition.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says 'we conclude that the admission of the autopsy report ... was an unreasonable application of clearly established Supreme Court precedent.'\"\n },\n {\n \"element\": \"Text lacks characteristics of other sections (Facts, Issue, Procedural History, Rule, Analysis, Decree).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"No recitation of facts, issue statement, procedural history, rule statement, or analysis of legal principles without a dispositive ruling.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains both a clear final decision (e.g., affirmation or reversal) and reasoning supporting that decision, it belongs to the section that delivers the court's holding. The absence of distinct characteristics of other sections (e.g., no factual background, no pure rule statement, no pure analysis without a concluding endpoint) further supports this classification.\",\n \"uncertainty_notes\": [\n \"Some opinions blend conclusion and analysis; here the reasoning is directly tied to the final sentence 'accordingly, we affirm,' which is a conclusive statement.\"\n ],\n \"confidence\": 0
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{"example_id": 1655, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1655\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 137\nParagraph: In sum, we conclude that the admission of the autopsy report at Garlick's trial through a surrogate witness was an unreasonable application of clearly established Supreme Court precedent. Accordingly, we AFFIRM the judgment of the district court.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1655_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1655_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Judicial opinion section classification based on function: Conclusion sections contain the court's final decision and rationale for affirming or reversing.\",\n \"source\": \"Common legal writing conventions (e.g., Garner's Legal Writing in Plain English)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text expresses a final disposition (affirm, reverse, etc.).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'we AFFIRM the judgment of the district court.'\"\n },\n {\n \"element\": \"Text provides reasoning for the disposition.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says 'we conclude that the admission of the autopsy report ... was an unreasonable application of clearly established Supreme Court precedent.'\"\n },\n {\n \"element\": \"Text lacks characteristics of other sections (Facts, Issue, Procedural History, Rule, Analysis, Decree).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"No recitation of facts, issue statement, procedural history, rule statement, or analysis of legal principles without a dispositive ruling.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains both a clear final decision (e.g., affirmation or reversal) and reasoning supporting that decision, it belongs to the section that delivers the court's holding. The absence of distinct characteristics of other sections (e.g., no factual background, no pure rule statement, no pure analysis without a concluding endpoint) further supports this classification.\",\n \"uncertainty_notes\": [\n \"Some opinions blend conclusion and analysis; here the reasoning is directly tied to the final sentence 'accordingly, we affirm,' which is a conclusive statement.\"\n ],\n \"confidence\": 0
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{"example_id": 1110, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1110\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFor state action purposes it makes no difference of course whether the racially discriminatory act by the private party is compelled by a statutory provision or by a custom having the force of law — in either case it is the State that has commanded the result by its law.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1110_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1110, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1110\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFor state action purposes it makes no difference of course whether the racially discriminatory act by the private party is compelled by a statutory provision or by a custom having the force of law — in either case it is the State that has commanded the result by its law.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1110_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1110_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses state action doctrine and distinguishes between statutory compulsion and custom\",\n \"Text states that for state action purposes, source of discriminatory act (statute or custom) does not matter; State still commands the result by law\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text's statement aligns with a specific legal definition or category\",\n \"Whether the text exemplifies a particular doctrinal principle or exception\"\n ],\n \"knowledge_slots\": [\n \"State action doctrine: private parties may become state actors if their conduct is compelled by state law\",\n \"Two exceptions in state action doctrine: acts done pursuant to statute or long-established custom having force of law\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text's statement is inconsistent with the definition or category being tested\",\n \"The text appears to be a counterexample or exception rather than a defining characteristic\"\n ],\n \"less_relevant_if\": [\n \"The text's statement is a core principle of the definition\",\n \"The text directly illustrates the definition without qualification\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text's statement is a fundamental aspect of the definition or category\",\n \"The text provides a clear exemplar of the definition being classified\"\n ],\n \"less_relevant_if\": [\n \"The text's statement is peripheral or modifies the definition\",\n \"The text contradicts the definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific legal definition or classification schema that the text should be evaluated against\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1358, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1358\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: That evidence, in Khochinsky's view, bears on whether Poland acted willfully in failing to respond to his complaint in this case. As explained, however, we sustain the district court's vacatur of default regardless of any willfulness on Poland's part. And at any rate, the evidence was not before the district court at the time of its grant of vacatur and thus does not bear on whether the court abused its discretion. See *8 **380 Ctr. for Auto Safety v. EPA, 731 F.2d 16, 24 n.9 (D.C. Cir. 1984).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1358_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1358, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1358\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: That evidence, in Khochinsky's view, bears on whether Poland acted willfully in failing to respond to his complaint in this case. As explained, however, we sustain the district court's vacatur of default regardless of any willfulness on Poland's part. And at any rate, the evidence was not before the district court at the time of its grant of vacatur and thus does not bear on whether the court abused its discretion. See *8 **380 Ctr. for Auto Safety v. EPA, 731 F.2d 16, 24 n.9 (D.C. Cir. 1984).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1358_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1358_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Evidence bears on willfulness of Poland's failure to respond.\",\n \"District court vacated default regardless of willfulness.\",\n \"Evidence not before district court at time of grant of vacatur.\",\n \"Citation to Center for Auto Safety v. EPA for abuse of discretion standard.\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Whether the text evaluates and interprets evidence (analysis) or states a final outcome (conclusion).\",\n \"Whether the text cites authority to support a proposition (rule) or describes procedural steps (procedural history).\",\n \"Whether the text focuses on reasoning within the court's decision (analysis) or the decision's operative part (decree).\"\n ],\n \"knowledge_slots\": [\n \"Legal opinions typically include sections: Analysis (reasoning on facts), Conclusion (final determination), Decree (order), Facts, Issue, Procedural History, Rule (citing legal standards).\",\n \"Analysis often evaluates evidence, applies law, and uses citations to support reasoning.\",\n \"Conclusion states the court's holding without extensive reasoning.\",\n \"Rule section contains the legal standard or test being applied.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text evaluates evidence and applies legal standards reasoning\"],\n \"less_relevant_if\": [\"Text states a final outcome or order without reasoning\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"Text announc
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{"example_id": 426, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 426\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nUsufructuary rights are 'a real right of limited duration on the property of another.'\" at 217-18.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_426_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 426, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 426\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nUsufructuary rights are 'a real right of limited duration on the property of another.'\" at 217-18.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_426_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_426_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines usufructuary rights as a real right of limited duration on another's property\",\n \"Text includes a citation 'at 217-18'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states a definition\",\n \"Whether the text assigns a meaning to a term\",\n \"Whether the text is from a legal source\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks identify if a passage defines a term\",\n \"Legal definitions often include phrases like 'is' or 'means'\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not clearly define a term\",\n \"The text is a citation or comment, not a definition\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly defines a legal term\",\n \"The text states what a term means\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text provides a clear definition of a term\",\n \"The text explains the meaning of 'usufructuary rights'\"\n ],\n \"less_relevant_if\": [\n \"The text is ambiguous or not a definition\",\n \"The text is a citation without defining\"\n ]\n }\n ],\n \"missing_information\": [\n \"Context about the text's purpose (e.g., is it a definition or a case citation?)\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2277, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2277\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide a coordinated regional response to manage effectively the endemic violence and humanitarian crisis in El Salvador, Guatemala, and Honduras.\nbill_summary: Central America Reform and Enforcement Act\n\nThis bill establishes programs to address the humanitarian crisis in El Salvador, Guatemala, and Honduras (the Northern Triangle countries) and to handle asylum-seekers from those countries.\n\nThe Department of State shall report to Congress a five-year interagency strategy to address the factors driving migration from Central America.\n\nThe bill establishes various new immigration-related penalties, such as making it unlawful to knowingly destroy any government-deployed border-control device (e.g., fence or camera).\n\nThe State Department shall work to expand the capacity of other countries to provide asylum.\n\nThe State Department shall establish at least four Designated Application Processing Centers in the Northern Triangle countries and Mexico to adjudicate asylum applications and admit qualified aliens from the Northern Triangle countries as refugees.\n\nThe Department of Health and Human Services (HHS) shall provide certain assessments and health care services to unaccompanied alien children.\n\nThe rights of a parent or guardian over an unaccompanied alien child may be terminated only pursuant to a court order.\n\nThe Office of Refugee Resettlement shall conduct certain background checks on prospective sponsors of an unaccompanied alien child.\n\nTo receive certain funding, a local educational agency must ensure that unaccompanied alien children are served.\n\nAn unaccompanied alien child shall be appointed free counsel in immigration proceedings.\n\nThe Department of Justice shall increase the number of immigration judges and Board of Immigration Appeals staff attorneys.\n\nThe Department of Homeland Security, HHS, and the State Department shall develop a process for repatriating unaccompanied children to their country of origin. This process must require a determination of the child's best interests.\ncompany_name: Alarm.com Holdings, Inc.\ncompany_description: BUSINESS Overview Alarm.com is the leading platform for the intelligently connected property. We offer a comprehensive suite of cloud-based solutions for smart residential and commercial properties, including interactive security, video monitoring, intelligent automation, energy management and wellness solutions. Millions of property owners depend on our technology to intelligently secure, monitor and manage their residential and commercial properties. In the last year alone, our platforms processed more than 200 billion data points generated by over 90 million connected devices. We believe that this scale
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{"example_id": 2277, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2277\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide a coordinated regional response to manage effectively the endemic violence and humanitarian crisis in El Salvador, Guatemala, and Honduras.\nbill_summary: Central America Reform and Enforcement Act\n\nThis bill establishes programs to address the humanitarian crisis in El Salvador, Guatemala, and Honduras (the Northern Triangle countries) and to handle asylum-seekers from those countries.\n\nThe Department of State shall report to Congress a five-year interagency strategy to address the factors driving migration from Central America.\n\nThe bill establishes various new immigration-related penalties, such as making it unlawful to knowingly destroy any government-deployed border-control device (e.g., fence or camera).\n\nThe State Department shall work to expand the capacity of other countries to provide asylum.\n\nThe State Department shall establish at least four Designated Application Processing Centers in the Northern Triangle countries and Mexico to adjudicate asylum applications and admit qualified aliens from the Northern Triangle countries as refugees.\n\nThe Department of Health and Human Services (HHS) shall provide certain assessments and health care services to unaccompanied alien children.\n\nThe rights of a parent or guardian over an unaccompanied alien child may be terminated only pursuant to a court order.\n\nThe Office of Refugee Resettlement shall conduct certain background checks on prospective sponsors of an unaccompanied alien child.\n\nTo receive certain funding, a local educational agency must ensure that unaccompanied alien children are served.\n\nAn unaccompanied alien child shall be appointed free counsel in immigration proceedings.\n\nThe Department of Justice shall increase the number of immigration judges and Board of Immigration Appeals staff attorneys.\n\nThe Department of Homeland Security, HHS, and the State Department shall develop a process for repatriating unaccompanied children to their country of origin. This process must require a determination of the child's best interests.\ncompany_name: Alarm.com Holdings, Inc.\ncompany_description: BUSINESS Overview Alarm.com is the leading platform for the intelligently connected property. We offer a comprehensive suite of cloud-based solutions for smart residential and commercial properties, including interactive security, video monitoring, intelligent automation, energy management and wellness solutions. Millions of property owners depend on our technology to intelligently secure, monitor and manage their residential and commercial properties. In the last year alone, our platforms processed more than 200 billion data points generated by over 90 million connected devices. We believe that this scale
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{"example_id": 2277, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2277\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide a coordinated regional response to manage effectively the endemic violence and humanitarian crisis in El Salvador, Guatemala, and Honduras.\nbill_summary: Central America Reform and Enforcement Act\n\nThis bill establishes programs to address the humanitarian crisis in El Salvador, Guatemala, and Honduras (the Northern Triangle countries) and to handle asylum-seekers from those countries.\n\nThe Department of State shall report to Congress a five-year interagency strategy to address the factors driving migration from Central America.\n\nThe bill establishes various new immigration-related penalties, such as making it unlawful to knowingly destroy any government-deployed border-control device (e.g., fence or camera).\n\nThe State Department shall work to expand the capacity of other countries to provide asylum.\n\nThe State Department shall establish at least four Designated Application Processing Centers in the Northern Triangle countries and Mexico to adjudicate asylum applications and admit qualified aliens from the Northern Triangle countries as refugees.\n\nThe Department of Health and Human Services (HHS) shall provide certain assessments and health care services to unaccompanied alien children.\n\nThe rights of a parent or guardian over an unaccompanied alien child may be terminated only pursuant to a court order.\n\nThe Office of Refugee Resettlement shall conduct certain background checks on prospective sponsors of an unaccompanied alien child.\n\nTo receive certain funding, a local educational agency must ensure that unaccompanied alien children are served.\n\nAn unaccompanied alien child shall be appointed free counsel in immigration proceedings.\n\nThe Department of Justice shall increase the number of immigration judges and Board of Immigration Appeals staff attorneys.\n\nThe Department of Homeland Security, HHS, and the State Department shall develop a process for repatriating unaccompanied children to their country of origin. This process must require a determination of the child's best interests.\ncompany_name: Alarm.com Holdings, Inc.\ncompany_description: BUSINESS Overview Alarm.com is the leading platform for the intelligently connected property. We offer a comprehensive suite of cloud-based solutions for smart residential and commercial properties, including interactive security, video monitoring, intelligent automation, energy management and wellness solutions. Millions of property owners depend on our technology to intelligently secure, monitor and manage their residential and commercial properties. In the last year alone, our platforms processed more than 200 billion data points generated by over 90 million connected devices. We believe that this scale
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{"example_id": 1151, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1151\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere must be a purpose or intent to harass, oppress, or injure another.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1151_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1151, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1151\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere must be a purpose or intent to harass, oppress, or injure another.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1151_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1151_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Substantive Due Process - The government must demonstrate a permissible purpose or intent when using force or restricting liberty.\",\n \"source\": \"United States v. Martinez-Fuerte, 428 U.S. 543 (1976)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The government must prove a specific purpose or intent to harass, oppress, or injure another person.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly states 'There must be a purpose or intent to harass, oppress, or injure another,' which directly matches the element from Martinez-Fuerte.\"\n }\n ],\n \"conclusion_logic\": \"If the text presents a legal standard that requires a government purpose or intent to harass, oppress, or injure, then it satisfies the element under substantive due process; otherwise, it does not.\",\n \"uncertainty_notes\": [\n \"The text does not specify the subject (e.g., law enforcement, government entity), but the general principle applies to uses of force or liberty restrictions.\"\n ],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1151_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1151, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1151\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere must be a purpose or intent to harass, oppress, or injure another.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1151_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1151_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Substantive Due Process - The government must demonstrate a permissible purpose or intent when using force or restricting liberty.\",\n \"source\": \"United States v. Martinez-Fuerte, 428 U.S. 543 (1976)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The government must prove a specific purpose or intent to harass, oppress, or injure another person.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly states 'There must be a purpose or intent to harass, oppress, or injure another,' which directly matches the element from Martinez-Fuerte.\"\n }\n ],\n \"conclusion_logic\": \"If the text presents a legal standard that requires a government purpose or intent to harass, oppress, or injure, then it satisfies the element under substantive due process; otherwise, it does not.\",\n \"uncertainty_notes\": [\n \"The text does not specify the subject (e.g., law enforcement, government entity), but the general principle applies to uses of force or liberty restrictions.\"\n ],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1151_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1151_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\"The text states 'There must be a purpose or intent to harass, oppress, or injure another.'\"],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\"Whether the text describes a legal element or requirement\", \"Whether the text is a statement of a constitutive condition\"],\n \"knowledge_slots\": [\"Legal definitions often specify necessary elements or purposes\", \"Classification tasks in legal contexts involve matching text to predefined labels indicating presence or absence of a concept\"],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text is not considered a valid definition of the intended legal concept\", \"The text describes a condition that is not essential or is contradictory\"],\n \"less_relevant_if\": [\"The text is widely a
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{"example_id": 2605, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2605\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Additional Rights We Retain\nIf you select a username or similar identifier for your account, we may change it if we believe it is appropriate or necessary (for example, if it infringes someone's intellectual property or impersonates another user).\nIf you use content covered by intellectual property rights that we have and make available in our Service (for example, images, designs, videos, or sounds we provide that you add to content you create or share), we retain all rights to our content (but not yours).\nYou can only use our intellectual property and trademarks or similar marks as expressly permitted by our Brand Guidelines or with our prior written permission.\nYou must obtain written permission from us or under an open source license to modify, create derivative works of, decompile, or otherwise attempt to extract source code from us.\nquestion: Can Instagram sometimes change my username?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2605_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2605, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2605\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Additional Rights We Retain\nIf you select a username or similar identifier for your account, we may change it if we believe it is appropriate or necessary (for example, if it infringes someone's intellectual property or impersonates another user).\nIf you use content covered by intellectual property rights that we have and make available in our Service (for example, images, designs, videos, or sounds we provide that you add to content you create or share), we retain all rights to our content (but not yours).\nYou can only use our intellectual property and trademarks or similar marks as expressly permitted by our Brand Guidelines or with our prior written permission.\nYou must obtain written permission from us or under an open source license to modify, create derivative works of, decompile, or otherwise attempt to extract source code from us.\nquestion: Can Instagram sometimes change my username?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2605_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2605_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Contract states: 'we may change it if we believe it is appropriate or necessary'\",\n \"Question asks if Instagram can sometimes change your username\"\n ],\n \"task_type\": \"contract_interpretation\",\n \"decision_factors\": [\n \"Whether the contract language grants the platform discretion to change usernames\",\n \"Whether the phrase 'may change' indicates permissive rather than mandatory action\"\n ],\n \"knowledge_slots\": [\n \"Legal interpretation of 'may' vs. 'must' in contract terms\",\n \"Institutional discretion to modify user identifiers under typical terms of service\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The contract explicitly prohibits any changes to the username by the platform\"\n ],\n \"less_relevant_if\": [\n \"The contract includes conditions under which the platform can change a username\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The contract grants the platform the right to change usernames for stated reasons\"\n ],\n \"less_relevant_if\": [\n \"The contract restricts changes to only certain circumstances not typically applicable\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.
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{"example_id": 1181, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1181\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA defendant’s actual punishment can be affected in a very real way by facts never alleged in an indictment, never presented to a jury, and never proved beyond a reasonable doubt.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1181_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1181, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1181\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA defendant’s actual punishment can be affected in a very real way by facts never alleged in an indictment, never presented to a jury, and never proved beyond a reasonable doubt.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1181_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1181_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Defendant's actual punishment can be affected by facts not alleged in indictment\",\n \"Facts not presented to jury and not proved beyond reasonable doubt\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text exemplifies the target definition\",\n \"Degree of alignment between text content and definitional criteria\"\n ],\n \"knowledge_slots\": [\n \"Definition of the legal concept being classified\",\n \"Characteristics that distinguish the concept from others\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not match the definition of the target concept\",\n \"Text describes a different legal principle or exception\"\n ],\n \"less_relevant_if\": [\n \"Text closely matches the definitional criteria\",\n \"Text directly illustrates the concept\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text matches the definition of the target concept\",\n \"Text exemplifies the concept as defined\"\n ],\n \"less_relevant_if\": [\n \"Text deviates from the definition\",\n \"Text mentions elements not covered by the concept\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition of the concept being classified\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1367, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1367\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: The FSIA does not specifically define what will constitute a waiver “by implication,” but our circuit has “followed the virtually unanimous precedent construing the implied waiver provision narrowly.” Creighton Ltd. v. Gov't of Qatar, 181 F.3d 118, 122 (D.C. Cir. 1999) (internal quotation marks and citation omitted). In particular, we “have held that implicit in § 1605(a)(1) is the requirement that the foreign state have intended to waive its sovereign immunity.” Id. (emphasis added); see Ivanenko v. Yanukovich, 995 F.3d 232, 239 (D.C. Cir. 2021). And as we have observed, “courts rarely find that a nation has waived its sovereign immunity ... without strong evidence that this is what the foreign state intended.” Foremost-McKesson, Inc. v. Islamic Republic of Iran, 905 F.2d 438, 444 (D.C. Cir. 1990) (quoting Frolova v. Union of Soviet Socialist Republics, 761 F.2d 370, 377 (7th Cir.1985)).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1367_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1367, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1367\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: The FSIA does not specifically define what will constitute a waiver “by implication,” but our circuit has “followed the virtually unanimous precedent construing the implied waiver provision narrowly.” Creighton Ltd. v. Gov't of Qatar, 181 F.3d 118, 122 (D.C. Cir. 1999) (internal quotation marks and citation omitted). In particular, we “have held that implicit in § 1605(a)(1) is the requirement that the foreign state have intended to waive its sovereign immunity.” Id. (emphasis added); see Ivanenko v. Yanukovich, 995 F.3d 232, 239 (D.C. Cir. 2021). And as we have observed, “courts rarely find that a nation has waived its sovereign immunity ... without strong evidence that this is what the foreign state intended.” Foremost-McKesson, Inc. v. Islamic Republic of Iran, 905 F.2d 438, 444 (D.C. Cir. 1990) (quoting Frolova v. Union of Soviet Socialist Republics, 761 F.2d 370, 377 (7th Cir.1985)).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1367_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1367_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses FSIA implied waiver standard\",\n \"Cites Creighton Ltd. v. Gov't of Qatar\",\n \"States implied waiver requires foreign state intention\",\n \"Cites Ivanenko v. Yanukovich and Foremost-McKesson\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Does the text state a general legal principle?\",\n \"Does the text apply law to specific facts?\",\n \"Does the text conclude the analysis?\",\n \"Does the text describe procedural history?\",\n \"Does the text present facts of the case?\"\n ],\n \"knowledge_slots\": [\n \"Implied waiver under FSIA requires clear evidence of intent\",\n \"Sovereign immunity waiver principles\",\n \"Typical sections of a judicial opinion\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text reasons about legal standards with citations\"],\n \"less_relevant_if\": [\"Text states a final holding or decrees relief\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"Text delivers final determination of the issue\"],\n \"less_relevant_if\
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{"example_id": 1560, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1560\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 56\nParagraph: Before us, Rose's chief contention is that her state-law claims can and should be adjudicated independently of the CBA. In her view, her claims do not “depend on a court interpreting any of [the CBA's] provisions” and, thus, complete preemption is inapposite. We do not agree.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1560_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1560, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1560\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 56\nParagraph: Before us, Rose's chief contention is that her state-law claims can and should be adjudicated independently of the CBA. In her view, her claims do not “depend on a court interpreting any of [the CBA's] provisions” and, thus, complete preemption is inapposite. We do not agree.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1560_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1560_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from a legal citation: 1 F.4th 56.\",\n \"Rose's chief contention is that her state-law claims can and should be adjudicated independently of the CBA.\",\n \"Rose's view: her claims do not depend on a court interpreting any of the CBA's provisions.\",\n \"The court does not agree with Rose's contention.\",\n \"The text is to be classified into one of the following labels: Analysis, Conclusion, Decree, Facts, Issue, Procedural History, Rule.\"\n ],\n \"missing_info\": [\n \"The full context of the opinion, such as preceding paragraphs or the holding, would help determine the section's function.\",\n \"The original formatting or heading of the text segment is not provided.\"\n ],\n \"context_summary\": \"The text is a paragraph from 1 F.4th 56 discussing Rose's argument that her state-law claims should be adjudicated independently of the CBA, and the court's disagreement.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1560_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1560, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1560\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 56\nParagraph: Before us, Rose's chief contention is that her state-law claims can and should be adjudicated independently of the CBA. In her view, her claims do not “depend on a court interpreting any of [the CBA's] provisions” and, thus, complete preemption is inapposite. We do not agree.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1560_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1560_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from a legal citation: 1 F.4th 56.\",\n \"Rose's chief contention is that her state-law claims can and should be adjudicated independently of the CBA.\",\n \"Rose's view: her claims do not depend on a court interpreting any of the CBA's provisions.\",\n \"The court does not agree with Rose's contention.\",\n \"The text is to be classified into one of the following labels: Analysis, Conclusion, Decree, Facts, Issue, Procedural History, Rule.\"\n ],\n \"missing_info\": [\n \"The full context of the opinion, such as preceding paragraphs or the holding, would help determine the section's function.\",\n \"The original formatting or heading of the text segment is not provided.\"\n ],\n \"context_summary\": \"The text is a paragraph from 1 F.4th 56 discussing Rose's argument that her state-law claims should be adjudicated independently of the CBA, and the court's disagreement.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1560_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1560_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Citation: 1 F.4th 56\",\n \"State-law claims adjudication independent of CBA\",\n \"Complete preemption inapposite to these claims\"\n ],\n \"task_type\": \"legal_document_section_classification\",\n \"decision_factors\": [\n \"Text presents reasoned agreement or disagreement with a legal argument\",\n \"Text does not state a final holding or order\",\n \"Text does not recite factual background or procedural history\",\n \"Text does not announce a legal rule or standard\"\n ],\n \"knowledge_slots\": [\n \"Analysis section
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{"example_id": 1231, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1231\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAfter the hearing, and upon filing written findings of fact and conclusions of law, the court may order the committed person discharged, released on probation subject to specified conditions for a fixed or an indeterminate period, or recommitted to the state mental institution.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1231_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1231, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1231\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAfter the hearing, and upon filing written findings of fact and conclusions of law, the court may order the committed person discharged, released on probation subject to specified conditions for a fixed or an indeterminate period, or recommitted to the state mental institution.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1231_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1231_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Substantive Due Process - Mental Commitment: The state must prove by clear and convincing evidence that commitment is necessary to prevent danger to self or others.\",\n \"source\": \"In re Winship, 397 U.S. 358 (1970); Collins v. Youngcong, 566 F.3d 545 (7th Cir. 2009)\"\n },\n {\n \"rule\": \"Statutory Interpretation - Commitment Proceedings: The court may order discharge, probation, or recommitment upon written findings and after hearing.\",\n \"source\": \"State mental health commitment statute (hypothetical)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text describes a procedural rule that enumerates possible outcomes of a commitment hearing.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'After the hearing, and upon filing written findings of fact and conclusions of law, the court may order the committed person discharged, released on probation, or recommitted.' This directly describes a procedural framework with listed outcomes.\"\n },\n {\n \"element\": \"The text contains substantive due process requirements regarding the burden of proof or evidence needed for commitment.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not mention 'clear and convincing evidence' or any evidentiary standard; it only describes the court's discretion after filing findings.\"\n }\n ],\n \"conclusion_logic\": \"If the text describes a procedural framework with possible outcomes (discharge, probation, recommitment) and does not include substantive evidence requirements, then it matches the procedural description but not the substantive due process standard. Conversely, if the text had mentioned an evidentiary burden, it would align with the substantive rule. The classification depends on whether the query seeks procedural vs. substantive characteristics.\",\n \"uncertainty_notes\": [\n \"The task does not speci
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{"example_id": 1231, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1231\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAfter the hearing, and upon filing written findings of fact and conclusions of law, the court may order the committed person discharged, released on probation subject to specified conditions for a fixed or an indeterminate period, or recommitted to the state mental institution.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1231_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1231_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Substantive Due Process - Mental Commitment: The state must prove by clear and convincing evidence that commitment is necessary to prevent danger to self or others.\",\n \"source\": \"In re Winship, 397 U.S. 358 (1970); Collins v. Youngcong, 566 F.3d 545 (7th Cir. 2009)\"\n },\n {\n \"rule\": \"Statutory Interpretation - Commitment Proceedings: The court may order discharge, probation, or recommitment upon written findings and after hearing.\",\n \"source\": \"State mental health commitment statute (hypothetical)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text describes a procedural rule that enumerates possible outcomes of a commitment hearing.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'After the hearing, and upon filing written findings of fact and conclusions of law, the court may order the committed person discharged, released on probation, or recommitted.' This directly describes a procedural framework with listed outcomes.\"\n },\n {\n \"element\": \"The text contains substantive due process requirements regarding the burden of proof or evidence needed for commitment.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not mention 'clear and convincing evidence' or any evidentiary standard; it only describes the court's discretion after filing findings.\"\n }\n ],\n \"conclusion_logic\": \"If the text describes a procedural framework with possible outcomes (discharge, probation, recommitment) and does not include substantive evidence requirements, then it matches the procedural description but not the substantive due process standard. Conversely, if the text had mentioned an evidentiary burden, it would align with the substantive rule. The classification depends on whether the query seeks procedural vs. substantive characteristics.\",\n \"uncertainty_notes\": [\n \"The task does not speci
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{"example_id": 95, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 95\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term ‘privies' is not confined to persons interested in real estate (3 Tomlin, Law Dict. 218; 2 Bouv. 382), nor is it true that only the same parties, eo nomine, are bound by a judgment.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_95_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 95, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 95\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term ‘privies' is not confined to persons interested in real estate (3 Tomlin, Law Dict. 218; 2 Bouv. 382), nor is it true that only the same parties, eo nomine, are bound by a judgment.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_95_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_95_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses the term 'privies' and its scope regarding real estate interests\",\n \"Text disputes the claim that only persons interested in real estate are privies\",\n \"Text also disputes the claim that only same parties named are bound by a judgment\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text affirms or denies the given definition's conditions\",\n \"Whether the text expands or restricts the definition's applicability\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'privies' includes parties directly or indirectly interested\",\n \"Judgment binds all privies, not just same-named parties\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text explicitly contradicts the definition's assertion\",\n \"The text shows the definition is incomplete or false\"\n ],\n \"less_relevant_if\": [\n \"The text supports or is neutral on the definition\",\n \"The text only modifies but does not reject the definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text aligns with or supports the definition\",\n \"The text provides clarification without contradiction\"\n ],\n \"less_relevant_if\": [\n \"The text directly refutes the definition\",\n \"The text argues against the definition's premises\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition being classified is not provided\",\n \"The intended label 'Yes' or 'No' is ambiguous without context\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1998, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1998\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend title XI of the Social Security Act to provide for drug manufacturer price transparency.\nbill_summary: Stopping the Pharmaceutical Industry from Keeping drugs Expensive Act or the SPIKE Act\n\nThis bill requires the Centers for Medicare & Medicaid Services (CMS) to determine at least annually whether certain covered drugs under Medicare were subject to a price increase that exceeded specified thresholds. Drug manufacturers must submit justifications for such price increases to the CMS, subject to civil penalties. The bill's requirements do not apply to low-cost drugs, as identified by the CMS.\ncompany_name: Accelerate Diagnostics, Inc.\ncompany_description: Inc. (\"Accelerate\") is an in vitro diagnostics company dedicated to providing solutions that improve patient outcomes and lower healthcare costs through the fast diagnosis of serious infections. Microbiology laboratories are in need of new tools to address what the U.S. Centers for Disease Control and Prevention (the \"CDC\") calls one of the most serious healthcare threats of our time, antibiotic resistance. A significant contributing factor to the rise of resistance is the overuse and misuse of antibiotics, which is exacerbated by a lack of timely diagnostic results. The delay of identification and antibiotic susceptibility results is often due to the reliance by microbiology laboratories on traditional culture-based tests that often take two to three days to complete. Our technology platform is built to address these challenges by delivering significantly faster testing of infectious pathogens in various patient sample types. Our first system to address these challenges is the Accelerate Pheno™ system. The Accelerate Pheno™ system utilizes genotypic technology to identify (ID) infectious pathogens and phenotypic technology to conduct antibiotic susceptibility testing (AST), which determines whether live bacterial and fungal cells are resistant or susceptible to a particular antimicrobial. The Accelerate PhenoTest™ BC Kit, which is the first test kit for the system, provides ID and AST results for patients suspected of bacteremia or fungemia, both life-threatening conditions with high morbidity and mortality risk. This information is used to rapidly modify antibiotic therapy to lessen side-affects, improve clinical outcomes, and help preserve the useful life of antibiotics. In Vitro Diagnostic Directive 98/79/EC and applied a CE Mark to the Accelerate Pheno™ system and the Accelerate PhenoTest™ BC Kit for in vitro diagnostic use. On February 23, 2017, the U.S. Food and Drug Administration (\"FDA\") granted our de novo request to market our Accelerate Pheno™ system and Accelerate PhenoTest™ BC Kit. In 2017, we be
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{"example_id": 1998, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1998\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend title XI of the Social Security Act to provide for drug manufacturer price transparency.\nbill_summary: Stopping the Pharmaceutical Industry from Keeping drugs Expensive Act or the SPIKE Act\n\nThis bill requires the Centers for Medicare & Medicaid Services (CMS) to determine at least annually whether certain covered drugs under Medicare were subject to a price increase that exceeded specified thresholds. Drug manufacturers must submit justifications for such price increases to the CMS, subject to civil penalties. The bill's requirements do not apply to low-cost drugs, as identified by the CMS.\ncompany_name: Accelerate Diagnostics, Inc.\ncompany_description: Inc. (\"Accelerate\") is an in vitro diagnostics company dedicated to providing solutions that improve patient outcomes and lower healthcare costs through the fast diagnosis of serious infections. Microbiology laboratories are in need of new tools to address what the U.S. Centers for Disease Control and Prevention (the \"CDC\") calls one of the most serious healthcare threats of our time, antibiotic resistance. A significant contributing factor to the rise of resistance is the overuse and misuse of antibiotics, which is exacerbated by a lack of timely diagnostic results. The delay of identification and antibiotic susceptibility results is often due to the reliance by microbiology laboratories on traditional culture-based tests that often take two to three days to complete. Our technology platform is built to address these challenges by delivering significantly faster testing of infectious pathogens in various patient sample types. Our first system to address these challenges is the Accelerate Pheno™ system. The Accelerate Pheno™ system utilizes genotypic technology to identify (ID) infectious pathogens and phenotypic technology to conduct antibiotic susceptibility testing (AST), which determines whether live bacterial and fungal cells are resistant or susceptible to a particular antimicrobial. The Accelerate PhenoTest™ BC Kit, which is the first test kit for the system, provides ID and AST results for patients suspected of bacteremia or fungemia, both life-threatening conditions with high morbidity and mortality risk. This information is used to rapidly modify antibiotic therapy to lessen side-affects, improve clinical outcomes, and help preserve the useful life of antibiotics. In Vitro Diagnostic Directive 98/79/EC and applied a CE Mark to the Accelerate Pheno™ system and the Accelerate PhenoTest™ BC Kit for in vitro diagnostic use. On February 23, 2017, the U.S. Food and Drug Administration (\"FDA\") granted our de novo request to market our Accelerate Pheno™ system and Accelerate PhenoTest™ BC Kit. In 2017, we be
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{"example_id": 206, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 206\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA \"judgment\" is \"[a] court's final determination of the rights and obligation of the parties in a case.\" Black's Law Dictionary 1007 (11th ed. 2019); see also 1 H. Black, Law of Judgments 1, p. 2, n. l (1891) (\"'A judgment is the final consideration and determination of a court... upon the matters submitted to it'\").\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_206_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 206, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 206\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA \"judgment\" is \"[a] court's final determination of the rights and obligation of the parties in a case.\" Black's Law Dictionary 1007 (11th ed. 2019); see also 1 H. Black, Law of Judgments 1, p. 2, n. l (1891) (\"'A judgment is the final consideration and determination of a court... upon the matters submitted to it'\").\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_206_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_206_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides two definitions of 'judgment' from Black's Law Dictionary and a legal reference work.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states the meaning of a term or phrase.\",\n \"Whether the text cites authoritative legal sources for the meaning.\",\n \"Whether the text is structured as a definition (e.g., 'A judgment is ...').\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text that states the meaning of a term, often introduced by 'is' and accompanied by sources, is a definition.\",\n \"Legal definitions often rely on established dictionaries or precedent.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not present a clear definition but rather an application or discussion.\",\n \"The text lacks a standard definition format (e.g., 'A [term] is ...').\"\n ],\n \"less_relevant_if\": [\n \"The text begins with 'A judgment is ...' and quotes a dictionary.\",\n \"The text explicitly labels itself as a definition.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text presents two explicit definitions of a term.\",\n \"The text uses definitional language and cites multiple authoritative sources.\"\n ],\n \"less_relevant_if\": [\n \"The text is ambiguous or does not fit the typical definition structure.\",\n \"The text discusses judgment in a broader context without defining it.\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2590, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2590\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Soundtrack by Twitch (Soundtrack), which is part of the Twitch Services, is a streamer tool designed to give creators the ability to play licensed music in the background of their live streams and upload on-demand videos of those live streams that do not include such music. By downloading, installing, and/or otherwise using Soundtrack, you agree that your download, installation, and/or use of Soundtrack will be governed by these Terms of Service. Twitchs Community Guidelines and Music Guidelines apply as well, and we recommend that you review both resources prior to using Soundtrack.\n\nSoundtrack was borne out of Twitchs desire to offer creators a wide variety of licensed music for live streaming. To make this possible, Twitch secured licenses with many different rights holders and continues to do so in order to add new tracks to Soundtracks stations and playlists. Twitch also designed Soundtrack to give creators the ability to generate on-demand videos of their live streams that do not include this music.\n\nThe licenses Twitch secured allow Twitch to make these materials available to you for your use in live streams on your Twitch channel. Music and other materials made available through Soundtrack have not been licensed for your use in pre-recorded content, in content that can be streamed on-demand (such as VODs and Clips), or outside the Twitch Services. What this means is that you may not:\n\nCreate on-demand content containing materials from Soundtrack -- we have designed Soundtrack with this restriction in mind, and proper setup will allow you to create and use music-free on-demand videos of live streams that include Soundtrack music; or\nLive stream content that includes music or other materials from Soundtrack outside the Twitch Services.\nDoing any of the above may subject you to a notice of alleged infringement from rights holders and their agents.\n\nLast, we want to alert you to the fact that music rights tend to evolve over time. Thus, we reserve the right to modify or remove certain songs or other content from Soundtrack at any time (for example, as necessary to comply with our music licenses or with applicable laws). Twitch takes no responsibility and assumes no liability in connection with your use of Soundtrack.\nquestion: Do the terms preclude users from livestreaming Soundtracks on third party services such as Youtube?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2590_1", "type": "function", "function": {"name": "extr
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{"example_id": 2590, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2590\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Soundtrack by Twitch (Soundtrack), which is part of the Twitch Services, is a streamer tool designed to give creators the ability to play licensed music in the background of their live streams and upload on-demand videos of those live streams that do not include such music. By downloading, installing, and/or otherwise using Soundtrack, you agree that your download, installation, and/or use of Soundtrack will be governed by these Terms of Service. Twitchs Community Guidelines and Music Guidelines apply as well, and we recommend that you review both resources prior to using Soundtrack.\n\nSoundtrack was borne out of Twitchs desire to offer creators a wide variety of licensed music for live streaming. To make this possible, Twitch secured licenses with many different rights holders and continues to do so in order to add new tracks to Soundtracks stations and playlists. Twitch also designed Soundtrack to give creators the ability to generate on-demand videos of their live streams that do not include this music.\n\nThe licenses Twitch secured allow Twitch to make these materials available to you for your use in live streams on your Twitch channel. Music and other materials made available through Soundtrack have not been licensed for your use in pre-recorded content, in content that can be streamed on-demand (such as VODs and Clips), or outside the Twitch Services. What this means is that you may not:\n\nCreate on-demand content containing materials from Soundtrack -- we have designed Soundtrack with this restriction in mind, and proper setup will allow you to create and use music-free on-demand videos of live streams that include Soundtrack music; or\nLive stream content that includes music or other materials from Soundtrack outside the Twitch Services.\nDoing any of the above may subject you to a notice of alleged infringement from rights holders and their agents.\n\nLast, we want to alert you to the fact that music rights tend to evolve over time. Thus, we reserve the right to modify or remove certain songs or other content from Soundtrack at any time (for example, as necessary to comply with our music licenses or with applicable laws). Twitch takes no responsibility and assumes no liability in connection with your use of Soundtrack.\nquestion: Do the terms preclude users from livestreaming Soundtracks on third party services such as Youtube?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2590_1", "type": "function", "function": {"name": "extractor_tool", "
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{"example_id": 2590, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2590\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Soundtrack by Twitch (Soundtrack), which is part of the Twitch Services, is a streamer tool designed to give creators the ability to play licensed music in the background of their live streams and upload on-demand videos of those live streams that do not include such music. By downloading, installing, and/or otherwise using Soundtrack, you agree that your download, installation, and/or use of Soundtrack will be governed by these Terms of Service. Twitchs Community Guidelines and Music Guidelines apply as well, and we recommend that you review both resources prior to using Soundtrack.\n\nSoundtrack was borne out of Twitchs desire to offer creators a wide variety of licensed music for live streaming. To make this possible, Twitch secured licenses with many different rights holders and continues to do so in order to add new tracks to Soundtracks stations and playlists. Twitch also designed Soundtrack to give creators the ability to generate on-demand videos of their live streams that do not include this music.\n\nThe licenses Twitch secured allow Twitch to make these materials available to you for your use in live streams on your Twitch channel. Music and other materials made available through Soundtrack have not been licensed for your use in pre-recorded content, in content that can be streamed on-demand (such as VODs and Clips), or outside the Twitch Services. What this means is that you may not:\n\nCreate on-demand content containing materials from Soundtrack -- we have designed Soundtrack with this restriction in mind, and proper setup will allow you to create and use music-free on-demand videos of live streams that include Soundtrack music; or\nLive stream content that includes music or other materials from Soundtrack outside the Twitch Services.\nDoing any of the above may subject you to a notice of alleged infringement from rights holders and their agents.\n\nLast, we want to alert you to the fact that music rights tend to evolve over time. Thus, we reserve the right to modify or remove certain songs or other content from Soundtrack at any time (for example, as necessary to comply with our music licenses or with applicable laws). Twitch takes no responsibility and assumes no liability in connection with your use of Soundtrack.\nquestion: Do the terms preclude users from livestreaming Soundtracks on third party services such as Youtube?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2590_1", "type": "function", "function": {"name": "extractor_tool", "
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{"example_id": 2429, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2429\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to provide the work opportunity tax credit with respect to the hiring of veterans in the field of renewable energy.\nbill_summary: Incentives for our Nation's Veterans in Energy Sustainability Technologies or the INVEST Act\n\nThis bill allows the work opportunity tax credit to be used for the hiring of a specified veteran who works in a field of renewable energy. A \"specified veteran\" means any veteran who is certified as (1) having received a credential or certification from the Department of Defense of a military occupational specialty or skill in a field of renewable energy or with respect to advanced manufacturing, machinist or welding, or engineering; (2) having completed a vocational degree in a field of renewable energy; or (3) having completed a LEED (Leadership in Energy & Environmental Design) certification with the United States Green Building Council.\n\nThe Department of the Treasury shall pay (1) each U.S. possession (i.e., American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, the Commonwealth of Puerto Rico, and the U.S. Virgin Islands) with a mirror code tax system amounts equal to the loss to such possession due to this bill; and (2) each U.S. possession without such a tax system an amount estimated to equal the loss to such possession that would have occurred due to this bill if such a tax system had been in effect.\ncompany_name: Chase Corp.\ncompany_description: Item 1 – Busines s Primary Operating Divisions and Facilities and Industry Segments Chase Corporation, a global specialty chemicals company founded in 1946, is a leading manufacturer of protective materials for high-reliability applications. The segments are distinguished by the nature of the products we manufacture and how they are delivered to their respective markets. The Industrial Materials segment includes specified products that are used in, or integrated into, another company's product, with demand typically dependent upon general economic conditions. The Construction Materials segment is principally composed of project-oriented product offerings that are primarily sold and used as \"Chase\" branded products. Our manufacturing facilities are distinct to their respective segments with the exception of our O'Hara Township, PA and Blawnox, PA facilities, which produce products related to both operating segments. Background/History Specialty tapes and related products for the electronic and telecommunications industries using the brand name Chase & Sons®. Insulating and conducting materials for the manufacture of electrical and telephone wire and cable, electrical splicing, and terminating and repair tapes, which are marketed to wire and cable manuf
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{"example_id": 2429, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2429\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to provide the work opportunity tax credit with respect to the hiring of veterans in the field of renewable energy.\nbill_summary: Incentives for our Nation's Veterans in Energy Sustainability Technologies or the INVEST Act\n\nThis bill allows the work opportunity tax credit to be used for the hiring of a specified veteran who works in a field of renewable energy. A \"specified veteran\" means any veteran who is certified as (1) having received a credential or certification from the Department of Defense of a military occupational specialty or skill in a field of renewable energy or with respect to advanced manufacturing, machinist or welding, or engineering; (2) having completed a vocational degree in a field of renewable energy; or (3) having completed a LEED (Leadership in Energy & Environmental Design) certification with the United States Green Building Council.\n\nThe Department of the Treasury shall pay (1) each U.S. possession (i.e., American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, the Commonwealth of Puerto Rico, and the U.S. Virgin Islands) with a mirror code tax system amounts equal to the loss to such possession due to this bill; and (2) each U.S. possession without such a tax system an amount estimated to equal the loss to such possession that would have occurred due to this bill if such a tax system had been in effect.\ncompany_name: Chase Corp.\ncompany_description: Item 1 – Busines s Primary Operating Divisions and Facilities and Industry Segments Chase Corporation, a global specialty chemicals company founded in 1946, is a leading manufacturer of protective materials for high-reliability applications. The segments are distinguished by the nature of the products we manufacture and how they are delivered to their respective markets. The Industrial Materials segment includes specified products that are used in, or integrated into, another company's product, with demand typically dependent upon general economic conditions. The Construction Materials segment is principally composed of project-oriented product offerings that are primarily sold and used as \"Chase\" branded products. Our manufacturing facilities are distinct to their respective segments with the exception of our O'Hara Township, PA and Blawnox, PA facilities, which produce products related to both operating segments. Background/History Specialty tapes and related products for the electronic and telecommunications industries using the brand name Chase & Sons®. Insulating and conducting materials for the manufacture of electrical and telephone wire and cable, electrical splicing, and terminating and repair tapes, which are marketed to wire and cable manuf
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{"example_id": 2429, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2429\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Internal Revenue Code of 1986 to provide the work opportunity tax credit with respect to the hiring of veterans in the field of renewable energy.\nbill_summary: Incentives for our Nation's Veterans in Energy Sustainability Technologies or the INVEST Act\n\nThis bill allows the work opportunity tax credit to be used for the hiring of a specified veteran who works in a field of renewable energy. A \"specified veteran\" means any veteran who is certified as (1) having received a credential or certification from the Department of Defense of a military occupational specialty or skill in a field of renewable energy or with respect to advanced manufacturing, machinist or welding, or engineering; (2) having completed a vocational degree in a field of renewable energy; or (3) having completed a LEED (Leadership in Energy & Environmental Design) certification with the United States Green Building Council.\n\nThe Department of the Treasury shall pay (1) each U.S. possession (i.e., American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, the Commonwealth of Puerto Rico, and the U.S. Virgin Islands) with a mirror code tax system amounts equal to the loss to such possession due to this bill; and (2) each U.S. possession without such a tax system an amount estimated to equal the loss to such possession that would have occurred due to this bill if such a tax system had been in effect.\ncompany_name: Chase Corp.\ncompany_description: Item 1 – Busines s Primary Operating Divisions and Facilities and Industry Segments Chase Corporation, a global specialty chemicals company founded in 1946, is a leading manufacturer of protective materials for high-reliability applications. The segments are distinguished by the nature of the products we manufacture and how they are delivered to their respective markets. The Industrial Materials segment includes specified products that are used in, or integrated into, another company's product, with demand typically dependent upon general economic conditions. The Construction Materials segment is principally composed of project-oriented product offerings that are primarily sold and used as \"Chase\" branded products. Our manufacturing facilities are distinct to their respective segments with the exception of our O'Hara Township, PA and Blawnox, PA facilities, which produce products related to both operating segments. Background/History Specialty tapes and related products for the electronic and telecommunications industries using the brand name Chase & Sons®. Insulating and conducting materials for the manufacture of electrical and telephone wire and cable, electrical splicing, and terminating and repair tapes, which are marketed to wire and cable manuf
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{"example_id": 1777, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1777\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the assessment made under Part IX of the Excise Tax Act, the notice of which is dated April 5, 2005, and bears number 03403542, relating to the period from January 29, 2002, to December 31, 2003, is allowed with costs, and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the additional tax of $47,080 calculated on additional sales of $261,789 in 2002 and $254,574 in 2003 must be cancelled, as well as all of the interest ($2,719) and penalties ($15,539) related to that additional tax, in accordance with the attached Reasons for Judgment.\nSigned at Montreal, Quebec, this 15th day of October 2009.\n\"Lucie Lamarre\"\nLamarre J.\nTranslation certified true\non this 29th day of January 2010.\nErich Klein, Revisor\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1777_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1777, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1777\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the assessment made under Part IX of the Excise Tax Act, the notice of which is dated April 5, 2005, and bears number 03403542, relating to the period from January 29, 2002, to December 31, 2003, is allowed with costs, and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the additional tax of $47,080 calculated on additional sales of $261,789 in 2002 and $254,574 in 2003 must be cancelled, as well as all of the interest ($2,719) and penalties ($15,539) related to that additional tax, in accordance with the attached Reasons for Judgment.\nSigned at Montreal, Quebec, this 15th day of October 2009.\n\"Lucie Lamarre\"\nLamarre J.\nTranslation certified true\non this 29th day of January 2010.\nErich Klein, Revisor\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1777_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1777_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The appeal is from an assessment under Part IX of the Excise Tax Act.\",\n \"The notice of assessment dates April 5, 2005, and relates to periods 2002-2003.\",\n \"The judgment states the appeal is 'allowed with costs'.\",\n \"The assessment is referred back to the Minister for reconsideration.\",\n \"Additional tax of $47,080 is cancelled, plus interest and penalties totalling $20,258.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"The judgment explicitly uses the term 'allowed' in the outcome.\",\n \"The judgment does not indicate dismissal or rejection of the appeal.\",\n \"The appeal is referred back for reconsideration, which is typical of an allowed appeal.\",\n \"The language 'allowed with costs' clarifies the outcome.\"\n ],\n \"knowledge_slots\": [\n \"In tax court, 'allowed' means the appellant succeeds and the assessment is overturned or varied.\",\n \"'Dismissed' means the appeal fails and the assessment stands.\",\n \"'Other' would cover outcomes like abandoned, withdrawn, or mixed rulings.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text uses 'allowed' or 'granted' to describe the appeal outcome.\",\n \"The judgment indicates the appellant prevails on the issue.\"\n ],\n \"less_relevant_if\": [\n
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{"example_id": 2099, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2099\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to reauthorize activities of the Maritime Administration, and for other purposes.\nbill_summary: Maritime Administration Authorization and Enhancement Act of 2019\n\nThis bill addresses (1) several aspects of the U.S. Maritime Administration (MARAD); (2) illegal, unreported, and unregulated fishing (IUU fishing); and (3) maritime security.\n\nAmong other things, the bill\n\n reauthorizes MARAD programs, including programs associated with maintaining the U.S. Merchant Marine; promotes transparency and traceability in the seafood supply chain; promotes the use of technology to combat IUU fishing; establishes an interagency working group on maritime security, IUU fishing, and seafood fraud; and establishes a sub-working group to address IUU fishing within the U.S. exclusive economic zone in the Gulf of Mexico.\ncompany_name: Air Transport Services Group, Inc.\ncompany_description: leases aircraft and provides airline operations, ground services, aircraft modification and maintenance services, and other support services to the air transportation and logistics industries. Through the Company's subsidiaries, we offer a range of complementary services to delivery businesses, freight forwarders, airlines and government customers. We offer standalone services along with bundled, customized solutions, scalable to our customers' needs. : We lease aircraft through the Company's leasing subsidiary, Cargo Aircraft Management, CAM's fleet consists of Boeing 737, 757 and 767 cargo aircraft, Boeing 767 and 777 passenger aircraft and Boeing 757 \"combi\" aircraft which simultaneously carry passengers and cargo on the main deck. CAM services global demand for cargo airlift by offering Boeing 767, 757 and 737 aircraft leases. CAM is able to provide competitive lease rates by converting passenger aircraft into cargo freighters. CAM monitors the market for available passenger aircraft, typically 15 to 20 years beyond their original manufacture date. After evaluation of an aircraft's condition and technical specifications, CAM acquires passenger aircraft that meet its requirements for projected into-service costs and rate of return targets. After conversion to freighter configuration, CAM's aircraft can be deployed into markets more economically than newly built freighters. CAM's aircraft leases are typically under multi-year agreements. : We offer combinations of aircraft, crews, maintenance and insurance services to provide customized transportation capacity to our customers. Inc. (\"ATI\"), and Omni Air International, LLC (\"OAI\") which are each independently certificated by the U.S. Department of Transportation and separately offer services to customers. ABX operates Boeing 767 freighter aircraft, ATI oper
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{"example_id": 2099, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2099\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to reauthorize activities of the Maritime Administration, and for other purposes.\nbill_summary: Maritime Administration Authorization and Enhancement Act of 2019\n\nThis bill addresses (1) several aspects of the U.S. Maritime Administration (MARAD); (2) illegal, unreported, and unregulated fishing (IUU fishing); and (3) maritime security.\n\nAmong other things, the bill\n\n reauthorizes MARAD programs, including programs associated with maintaining the U.S. Merchant Marine; promotes transparency and traceability in the seafood supply chain; promotes the use of technology to combat IUU fishing; establishes an interagency working group on maritime security, IUU fishing, and seafood fraud; and establishes a sub-working group to address IUU fishing within the U.S. exclusive economic zone in the Gulf of Mexico.\ncompany_name: Air Transport Services Group, Inc.\ncompany_description: leases aircraft and provides airline operations, ground services, aircraft modification and maintenance services, and other support services to the air transportation and logistics industries. Through the Company's subsidiaries, we offer a range of complementary services to delivery businesses, freight forwarders, airlines and government customers. We offer standalone services along with bundled, customized solutions, scalable to our customers' needs. : We lease aircraft through the Company's leasing subsidiary, Cargo Aircraft Management, CAM's fleet consists of Boeing 737, 757 and 767 cargo aircraft, Boeing 767 and 777 passenger aircraft and Boeing 757 \"combi\" aircraft which simultaneously carry passengers and cargo on the main deck. CAM services global demand for cargo airlift by offering Boeing 767, 757 and 737 aircraft leases. CAM is able to provide competitive lease rates by converting passenger aircraft into cargo freighters. CAM monitors the market for available passenger aircraft, typically 15 to 20 years beyond their original manufacture date. After evaluation of an aircraft's condition and technical specifications, CAM acquires passenger aircraft that meet its requirements for projected into-service costs and rate of return targets. After conversion to freighter configuration, CAM's aircraft can be deployed into markets more economically than newly built freighters. CAM's aircraft leases are typically under multi-year agreements. : We offer combinations of aircraft, crews, maintenance and insurance services to provide customized transportation capacity to our customers. Inc. (\"ATI\"), and Omni Air International, LLC (\"OAI\") which are each independently certificated by the U.S. Department of Transportation and separately offer services to customers. ABX operates Boeing 767 freighter aircraft, ATI oper
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{"example_id": 349, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 349\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nRegardless, the formal “medium of exchange” definition is not the only dictionary definition of “money,” now or then. The Oxford English Dictionary, for example, included in its definition “property or possessions of any kind viewed as convertible into money,” 6 Oxford English Dictionary 603 (1st ed. 1933); Black's Law Dictionary said that money was the representative of “everything that can be transferred in commerce,” Black's Law Dictionary 1200 (3d ed. 1933); and the New Century Dictionary defined money as “property considered with reference to its pecuniary value,” 1 New Century Dictionary of the English Language 1083 (1933).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_349_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 349, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 349\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nRegardless, the formal “medium of exchange” definition is not the only dictionary definition of “money,” now or then. The Oxford English Dictionary, for example, included in its definition “property or possessions of any kind viewed as convertible into money,” 6 Oxford English Dictionary 603 (1st ed. 1933); Black's Law Dictionary said that money was the representative of “everything that can be transferred in commerce,” Black's Law Dictionary 1200 (3d ed. 1933); and the New Century Dictionary defined money as “property considered with reference to its pecuniary value,” 1 New Century Dictionary of the English Language 1083 (1933).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_349_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_349_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses alternative dictionary definitions of 'money' beyond the formal 'medium of exchange' definition.\",\n \"Text cites Oxford English Dictionary, Black's Law Dictionary, and New Century Dictionary.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text supports or rejects a specific statement about money definitions.\",\n \"The presence of multiple dictionary definitions in the text.\"\n ],\n \"knowledge_slots\": [\n \"The formal 'medium of exchange' definition is not the only definition of money.\",\n \"Dictionary definitions can include concepts like 'property convertible into money' or 'representative of everything transferable in commerce'.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is meant to classify whether the formal definition is the only valid one, and the text argues against that.\"\n ],\n \"less_relevant_if\": [\n \"The text is meant to classify a different aspect, such as whether it is an example of a specific type of definition.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is meant to classify whether the text itself is an instance of a definition classification task, or if it exemplifies the concept.\"\n ],\n \"less_relevant_if\": [\n \"The text is meant to classify a binary yes/no statement about content that is not directly addressed.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific
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{"example_id": 2770, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2770\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Kids and Accounts. By creating a Microsoft account or using the Services, you accept and agree to be bound by these Terms and represent that you have either reached the age of majority where you live or your parent or legal guardian agrees to be bound by these Terms on your behalf. If you do not know whether you have reached the age of majority where you live, or do not understand this section, please ask your parent or legal guardian for help. If you are the parent or legal guardian of a minor, you and the minor accept and agree to be bound by these Terms and are responsible for all use of the Microsoft account or Services, including purchases, whether the minors account is now open or created later.\nquestion: Is the age that a person must be to use Microsoft services without parental permission the same in all countries?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2770_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 2770, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2770\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Kids and Accounts. By creating a Microsoft account or using the Services, you accept and agree to be bound by these Terms and represent that you have either reached the age of majority where you live or your parent or legal guardian agrees to be bound by these Terms on your behalf. If you do not know whether you have reached the age of majority where you live, or do not understand this section, please ask your parent or legal guardian for help. If you are the parent or legal guardian of a minor, you and the minor accept and agree to be bound by these Terms and are responsible for all use of the Microsoft account or Services, including purchases, whether the minors account is now open or created later.\nquestion: Is the age that a person must be to use Microsoft services without parental permission the same in all countries?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2770_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2770_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The contract states that a user must have reached the age of majority where they live to use Microsoft services without parental permission.\",\n \"The age of majority varies by country.\",\n \"If a user has not reached the age of majority, they must have parental permission.\",\n \"Parents or legal guardians are responsible for all use of a minor's account, including purchases.\"\n ],\n \"missing_info\": [\n \"A list of countries and their specific age of majority laws.\",\n \"The exact age of majority in different jurisdictions.\"\n ],\n \"context_summary\": \"The contract states that to use Microsoft services without parental permission, a user must have reached the age of majority where they live. Parents are responsible for minors' accounts. The question asks if the required age is the same in all countries.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2770_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2770, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2770\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Kids and Accounts. By creating a Microsoft account or using the Services, you accept and agree to be bound by these Terms and represent that you have either reached the age of majority where you live or your parent or legal guardian agrees to be bound by these Terms on your behalf. If you do not know whether you have reached the age of majority where you live, or do not understand this section, please ask your parent or legal guardian for help. If you are the parent or legal guardian of a minor, you and the minor accept and agree to be bound by these Terms and are responsible for all use of the Microsoft account or Services, including purchases, whether the minors account is now open or created later.\nquestion: Is the age that a person must be to use Microsoft services without parental permission the same in all countries?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2770_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2770_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The contract states that a user must have reached the age of majority where they live to use Microsoft services without parental permission.\",\n \"The age of majority varies by country.\",\n \"If a user has not reached the age of majority, they must have parental permission.\",\n \"Parents or legal guardians are responsible for all use of a minor's account, including purchases.\"\n ],\n \"missing_info\": [\n \"A list of countries and their specific age of majority laws.\",\n \"The exact age of majority in different jurisdictions.\"\n ],\n \"context_summary\": \"The contract states that to use Microsoft services without parental permission, a user must have reached the age of majority where they live. Parents are responsible for minors' accounts. The question asks if the required age is the same in all countries.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_2770_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2770_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Contract states: 'you have either reached the age of majority where you live or your parent agrees'.\",\n \"Question asks if the age to use Microsoft services without parental permission is the same in all countries.\"\n ],\n \"task_type\":
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{"example_id": 1144, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1144\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nNo one questions that Shatzer was in custody for Miranda purposes during the interviews with Detective Blankenship in 2003 and Detective Hoover in 2006.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1144_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1144, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1144\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nNo one questions that Shatzer was in custody for Miranda purposes during the interviews with Detective Blankenship in 2003 and Detective Hoover in 2006.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1144_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1144_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition Classification Rule: A text is classified as 'Yes' if it satisfies all elements of the target legal definition, and 'No' otherwise.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text describes a specific person (Shatzer) being in custody for Miranda purposes during specific interviews.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"Text explicitly names Shatzer and specifies interviews with detectives in 2003 and 2006.\"\n },\n {\n \"element\": \"The text makes a definitive statement about custody (\\\"No one questions that\\\").\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text asserts that no one questions the statement, implying consensus.\"\n }\n ],\n \"conclusion_logic\": \"If the text provides a complete, unambiguous assertion of a custody fact for a specific person and event, then all elements of the definition are satisfied, leading to the 'Yes' classification. If the text lacks specificity, contradicts itself, or fails to assert custody, then elements are unsatisfied, leading to the 'No' classification.\",\n \"uncertainty_notes\": [\n \"The exact definition being tested is not provided, so the rule is inferred from the task name.\",\n \"It is unclear whether the definition requires additional elements such as voluntary nature or absence of coercion.\"\n ],\n \"confidence\": 0.7\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1144_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1144, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1144\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nNo one questions that Shatzer was in custody for Miranda purposes during the interviews with Detective Blankenship in 2003 and Detective Hoover in 2006.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1144_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1144_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition Classification Rule: A text is classified as 'Yes' if it satisfies all elements of the target legal definition, and 'No' otherwise.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text describes a specific person (Shatzer) being in custody for Miranda purposes during specific interviews.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"Text explicitly names Shatzer and specifies interviews with detectives in 2003 and 2006.\"\n },\n {\n \"element\": \"The text makes a definitive statement about custody (\\\"No one questions that\\\").\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text asserts that no one questions the statement, implying consensus.\"\n }\n ],\n \"conclusion_logic\": \"If the text provides a complete, unambiguous assertion of a custody fact for a specific person and event, then all elements of the definition are satisfied, leading to the 'Yes' classification. If the text lacks specificity, contradicts itself, or fails to assert custody, then elements are unsatisfied, leading to the 'No' classification.\",\n \"uncertainty_notes\": [\n \"The exact definition being tested is not provided, so the rule is inferred from the task name.\",\n \"It is unclear whether the definition requires additional elements such as voluntary nature or absence of coercion.\"\n ],\n \"confidence\": 0.7\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1144_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1144_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Shatzer was in custody for Miranda purposes during interviews in 2003 and 2006.\",\n \"No one questions that Shatzer was in custody for Miranda purposes.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text states or implies a negative assertion about custody status.\",\n \"Whether the
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{"example_id": 719, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 719\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAnd the people had real sour looks on their faces, nobody was joking, or being corny, or carrying on.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_719_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 719, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 719\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAnd the people had real sour looks on their faces, nobody was joking, or being corny, or carrying on.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_719_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_719_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes people with 'real sour looks', no joking or corniness, no carrying on.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches a given definition (unknown here)\",\n \"Presence of negative emotions vs. absence of positive or humorous elements\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require comparing text to a predefined category description.\",\n \"The definition itself is not provided, so reasoning is based on implicit criteria.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"If the definition describes a scenario that does not match the text's serious tone.\",\n \"If the definition includes elements absent from the text (e.g., laughter, jokes).\"\n ],\n \"less_relevant_if\": [\n \"If the definition focuses on absence of positive behavior rather than presence.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"If the definition matches the text's description of somber, serious behavior.\",\n \"If the definition is about a group displaying disapproval or dissatisfaction.\"\n ],\n \"less_relevant_if\": [\n \"If the definition requires explicit mention of jokes or light-heartedness.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition the text should be classified against.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 243, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 243\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThus, a ‘gift enterprise’ *215 has been defined to be ‘a scheme for the division or distribution of certain articles of property, to be determined by chance, amongst those who have taken shares in the scheme.’ Bouvier's Law Dict. (Rawle's Rev.) p. 884; Black's Law Dict. p. 539; Anderson's Law Dict. p. 488. See also Lohman v. State, 81 Ind. 15, 17; Winston ston v. Beeson, 135 N. C. 271, 279, 65 L.R.A. 167, 47 S. E. 457; Randle v. State, 42 Tex. 580\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_243_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 243, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 243\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThus, a ‘gift enterprise’ *215 has been defined to be ‘a scheme for the division or distribution of certain articles of property, to be determined by chance, amongst those who have taken shares in the scheme.’ Bouvier's Law Dict. (Rawle's Rev.) p. 884; Black's Law Dict. p. 539; Anderson's Law Dict. p. 488. See also Lohman v. State, 81 Ind. 15, 17; Winston ston v. Beeson, 135 N. C. 271, 279, 65 L.R.A. 167, 47 S. E. 457; Randle v. State, 42 Tex. 580\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_243_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_243_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'gift enterprise' as a scheme for division of property by chance among shareholders\",\n \"Text cites multiple legal dictionaries and case law\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states a definition\",\n \"Whether the text provides detailed description of a term\",\n \"Whether the text is primarily expository or argumentative\"\n ],\n \"knowledge_slots\": [\n \"A definition typically provides the meaning of a term or concept\",\n \"Legal definitions often cite authoritative sources and may include examples\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not clearly define a term but instead discusses a concept\",\n \"The text is primarily narrative or procedural without defining any key term\"\n ],\n \"less_relevant_if\": [\n \"The text begins with 'Thus, a ... has been defined to be' and then quotes sources\",\n \"The text explicitly states the meaning of a term using definitional language\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text contains explicit definitional phrases such as 'has been defined to be'\",\n \"The text quotes from legal dictionaries to establish the meaning of a term\"\n ],\n \"less_relevant_if\": [\n \"The text lacks any definitional structure or statement of a term's meaning\",\n \"The text is mainly about application or criticism of a concept rather than defining it\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 476, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 476\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThus, if a party is awarded costs under subdivision (a), it is \"entitled\" to those costs-- i.e., has a right to obtain them and not merely to seek them-- when a proper application is made in the district court. See Black's Law Dictionary 626 (rev. 4th ed. 1968) (\"In its usual sense, to entitle is to give a right or title\")\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_476_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 476, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 476\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThus, if a party is awarded costs under subdivision (a), it is \"entitled\" to those costs-- i.e., has a right to obtain them and not merely to seek them-- when a proper application is made in the district court. See Black's Law Dictionary 626 (rev. 4th ed. 1968) (\"In its usual sense, to entitle is to give a right or title\")\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_476_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_476_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses the meaning of 'entitled' in legal context\",\n \"Includes a quote from Black's Law Dictionary\",\n \"States a definition\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states a definition\",\n \"Whether the text provides an example or explanation of a term\",\n \"Whether the text is primarily descriptive of a term's meaning\"\n ],\n \"knowledge_slots\": [\n \"A definition typically gives the meaning of a term, often with a dictionary reference\",\n \"Legal definitions often clarify usage in specific contexts\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not present a clear definition but rather an application or discussion\",\n \"The text is more about arguing for a position than defining a term\"\n ],\n \"less_relevant_if\": [\n \"The text includes a direct quote defining a term\",\n \"The text revolves around explaining what a term means\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text explicitly provides a definition of a term\",\n \"The text uses a dictionary to explain the meaning of a word\"\n ],\n \"less_relevant_if\": [\n \"The text is primarily an argument or application of a rule rather than a definition\",\n \"The definition is implied but not explicitly stated\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2503, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2503\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 2. Account Activation\n2.1 Store Owner\n1. Subject to section 2.1(2), the person signing up for the Service by opening an Account will be the contracting party (Store Owner) for the purposes of our Terms of Service and will be the person who is authorized to use any corresponding Account we may provide to the Store Owner in connection with the Service. You are responsible for ensuring that the name of the Store Owner (including the legal name of the company that owns the Store, if applicable) is clearly visible on the Stores website.\n2. If you are signing up for the Services on behalf of your employer, your employer shall be the Store Owner. If you are signing up for the Services on behalf of your employer, then you must use your employer-issued email address and you represent and warrant that you have the authority to bind your employer to our Terms of Service.\n3. Your Shopify Store can only be associated with one Store Owner. A Store Owner may have multiple Shopify Stores. Store means the online store or physical retail location(s) associated with the Account.\n\n2.2 Staff Accounts\n1. Based on your Shopify pricing plan, you can create one or more staff accounts (Staff Accounts) allowing other people to access the Account. With Staff Accounts, the Store Owner can set permissions and let other people work in their Account while determining the level of access by Staff Accounts to specific business information (for example, you can limit Staff Account access to sales information on the Reports page or prevent Staff Accounts from changing general store settings).\n2. The Store Owner is responsible and liable for the acts, omissions and defaults arising from use of Staff Accounts in the performance of obligations under these Terms of Service as if they were the Store Owners own acts, omissions or defaults.\n3. The Store Owner and the users under Staff Accounts are each referred to as a Shopify User.\n\n2.3 PayPal Express Checkout and Shopify Payments Accounts\n1. Upon completion of sign up for the Service, Shopify will create a PayPal Express Checkout account on your behalf, using your email address. Depending on your location, Shopify may also create a Shopify Payments account on your behalf.\n2. You acknowledge that PayPal Express Checkout and/or Shopify Payments will be your default payments gateway(s) and that it is your sole responsibility as the Store Owner to activate and maintain these accounts. If you do not wish to keep either of the payment accounts active, it is your responsibility to deactivate them. For the avoidance of doubt, PayPal Express Checkout is a Third Party Service, as defined in Section 17 of these Terms of Service.\n\n2.4 Apple Pay for Safari Account\n1. Upon completion
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{"example_id": 2503, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2503\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 2. Account Activation\n2.1 Store Owner\n1. Subject to section 2.1(2), the person signing up for the Service by opening an Account will be the contracting party (Store Owner) for the purposes of our Terms of Service and will be the person who is authorized to use any corresponding Account we may provide to the Store Owner in connection with the Service. You are responsible for ensuring that the name of the Store Owner (including the legal name of the company that owns the Store, if applicable) is clearly visible on the Stores website.\n2. If you are signing up for the Services on behalf of your employer, your employer shall be the Store Owner. If you are signing up for the Services on behalf of your employer, then you must use your employer-issued email address and you represent and warrant that you have the authority to bind your employer to our Terms of Service.\n3. Your Shopify Store can only be associated with one Store Owner. A Store Owner may have multiple Shopify Stores. Store means the online store or physical retail location(s) associated with the Account.\n\n2.2 Staff Accounts\n1. Based on your Shopify pricing plan, you can create one or more staff accounts (Staff Accounts) allowing other people to access the Account. With Staff Accounts, the Store Owner can set permissions and let other people work in their Account while determining the level of access by Staff Accounts to specific business information (for example, you can limit Staff Account access to sales information on the Reports page or prevent Staff Accounts from changing general store settings).\n2. The Store Owner is responsible and liable for the acts, omissions and defaults arising from use of Staff Accounts in the performance of obligations under these Terms of Service as if they were the Store Owners own acts, omissions or defaults.\n3. The Store Owner and the users under Staff Accounts are each referred to as a Shopify User.\n\n2.3 PayPal Express Checkout and Shopify Payments Accounts\n1. Upon completion of sign up for the Service, Shopify will create a PayPal Express Checkout account on your behalf, using your email address. Depending on your location, Shopify may also create a Shopify Payments account on your behalf.\n2. You acknowledge that PayPal Express Checkout and/or Shopify Payments will be your default payments gateway(s) and that it is your sole responsibility as the Store Owner to activate and maintain these accounts. If you do not wish to keep either of the payment accounts active, it is your responsibility to deactivate them. For the avoidance of doubt, PayPal Express Checkout is a Third Party Service, as defined in Section 17 of these Terms of Service.\n\n2.4 Apple Pay for Safari Account\n1. Upon completion
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{"example_id": 2503, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2503\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 2. Account Activation\n2.1 Store Owner\n1. Subject to section 2.1(2), the person signing up for the Service by opening an Account will be the contracting party (Store Owner) for the purposes of our Terms of Service and will be the person who is authorized to use any corresponding Account we may provide to the Store Owner in connection with the Service. You are responsible for ensuring that the name of the Store Owner (including the legal name of the company that owns the Store, if applicable) is clearly visible on the Stores website.\n2. If you are signing up for the Services on behalf of your employer, your employer shall be the Store Owner. If you are signing up for the Services on behalf of your employer, then you must use your employer-issued email address and you represent and warrant that you have the authority to bind your employer to our Terms of Service.\n3. Your Shopify Store can only be associated with one Store Owner. A Store Owner may have multiple Shopify Stores. Store means the online store or physical retail location(s) associated with the Account.\n\n2.2 Staff Accounts\n1. Based on your Shopify pricing plan, you can create one or more staff accounts (Staff Accounts) allowing other people to access the Account. With Staff Accounts, the Store Owner can set permissions and let other people work in their Account while determining the level of access by Staff Accounts to specific business information (for example, you can limit Staff Account access to sales information on the Reports page or prevent Staff Accounts from changing general store settings).\n2. The Store Owner is responsible and liable for the acts, omissions and defaults arising from use of Staff Accounts in the performance of obligations under these Terms of Service as if they were the Store Owners own acts, omissions or defaults.\n3. The Store Owner and the users under Staff Accounts are each referred to as a Shopify User.\n\n2.3 PayPal Express Checkout and Shopify Payments Accounts\n1. Upon completion of sign up for the Service, Shopify will create a PayPal Express Checkout account on your behalf, using your email address. Depending on your location, Shopify may also create a Shopify Payments account on your behalf.\n2. You acknowledge that PayPal Express Checkout and/or Shopify Payments will be your default payments gateway(s) and that it is your sole responsibility as the Store Owner to activate and maintain these accounts. If you do not wish to keep either of the payment accounts active, it is your responsibility to deactivate them. For the avoidance of doubt, PayPal Express Checkout is a Third Party Service, as defined in Section 17 of these Terms of Service.\n\n2.4 Apple Pay for Safari Account\n1. Upon completion
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{"example_id": 2510, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2510\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: The fees we charge for using our Services are listed on our Selling fees pages. We may change our seller fees from time to time by posting the changes on the eBay site 14 days in advance, but with no advance notice required for temporary promotions or any changes that result in the reduction of fees.\n\nIf you are a seller, you are liable for transaction fees arising out of all sales made using some or all of our Services, even if sales terms are finalized or payment is made outside of eBay. In particular, if you offer or reference your contact information or ask a buyer for their contact information in the context of buying or selling outside of eBay, you may be liable to pay a final value fee applicable to that item, even if the item doesn't sell, given your usage of our Services for the introduction to a buyer.\n\nYou must have a payment method on file when selling through our Services and pay all fees and applicable taxes associated with our Services by the payment due date. If your payment method fails or your account is past due, we may collect amounts owed by charging other payment methods on file with us, retain collection agencies and legal counsel, suspend or limit Services, and for accounts over 60 days past due, request that PayPal deduct the amount owed from your PayPal account balance. In addition, you will be subject to late fees. eBay, or the collection agencies we retain, may also report information about your account to credit bureaus, and as a result, late payments, missed payments, or other defaults on your account may be reflected in your credit report. If you wish to dispute the information eBay reported to a credit bureau (i.e., Experian, Equifax or TransUnion) please contact us at eBay Inc., C/O Global Collections, 7700 West Parmer Lane, Building D, Austin, TX 78729. If you wish to dispute the information a collection agency reported to a credit bureau regarding your eBay account, you must contact the collection agency directly.\n\nIn any jurisdiction where eBay has an obligation to collect sales taxes on sales you make using our Services, we may collect such sales taxes from you via the payment method on file under the terms of the Billing Agreement or via any other means available to us.\n\nSeller fees don't purchase exclusive rights to item exposure on our Services. We may display third-party advertisements (including links and references thereto) or other content in any part of our Services, in our sole discretion and without consent from, or payment, fee reduction, or other credit to, sellers.\nquestion: Is eBay entitled to suspend an account in the event that the credit card registered with such account is rejected?\n\nClassify this text into the most appropriate la
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{"example_id": 2510, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2510\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: The fees we charge for using our Services are listed on our Selling fees pages. We may change our seller fees from time to time by posting the changes on the eBay site 14 days in advance, but with no advance notice required for temporary promotions or any changes that result in the reduction of fees.\n\nIf you are a seller, you are liable for transaction fees arising out of all sales made using some or all of our Services, even if sales terms are finalized or payment is made outside of eBay. In particular, if you offer or reference your contact information or ask a buyer for their contact information in the context of buying or selling outside of eBay, you may be liable to pay a final value fee applicable to that item, even if the item doesn't sell, given your usage of our Services for the introduction to a buyer.\n\nYou must have a payment method on file when selling through our Services and pay all fees and applicable taxes associated with our Services by the payment due date. If your payment method fails or your account is past due, we may collect amounts owed by charging other payment methods on file with us, retain collection agencies and legal counsel, suspend or limit Services, and for accounts over 60 days past due, request that PayPal deduct the amount owed from your PayPal account balance. In addition, you will be subject to late fees. eBay, or the collection agencies we retain, may also report information about your account to credit bureaus, and as a result, late payments, missed payments, or other defaults on your account may be reflected in your credit report. If you wish to dispute the information eBay reported to a credit bureau (i.e., Experian, Equifax or TransUnion) please contact us at eBay Inc., C/O Global Collections, 7700 West Parmer Lane, Building D, Austin, TX 78729. If you wish to dispute the information a collection agency reported to a credit bureau regarding your eBay account, you must contact the collection agency directly.\n\nIn any jurisdiction where eBay has an obligation to collect sales taxes on sales you make using our Services, we may collect such sales taxes from you via the payment method on file under the terms of the Billing Agreement or via any other means available to us.\n\nSeller fees don't purchase exclusive rights to item exposure on our Services. We may display third-party advertisements (including links and references thereto) or other content in any part of our Services, in our sole discretion and without consent from, or payment, fee reduction, or other credit to, sellers.\nquestion: Is eBay entitled to suspend an account in the event that the credit card registered with such account is rejected?\n\nClassify this text into the most appropriate la
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{"example_id": 2510, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2510\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: The fees we charge for using our Services are listed on our Selling fees pages. We may change our seller fees from time to time by posting the changes on the eBay site 14 days in advance, but with no advance notice required for temporary promotions or any changes that result in the reduction of fees.\n\nIf you are a seller, you are liable for transaction fees arising out of all sales made using some or all of our Services, even if sales terms are finalized or payment is made outside of eBay. In particular, if you offer or reference your contact information or ask a buyer for their contact information in the context of buying or selling outside of eBay, you may be liable to pay a final value fee applicable to that item, even if the item doesn't sell, given your usage of our Services for the introduction to a buyer.\n\nYou must have a payment method on file when selling through our Services and pay all fees and applicable taxes associated with our Services by the payment due date. If your payment method fails or your account is past due, we may collect amounts owed by charging other payment methods on file with us, retain collection agencies and legal counsel, suspend or limit Services, and for accounts over 60 days past due, request that PayPal deduct the amount owed from your PayPal account balance. In addition, you will be subject to late fees. eBay, or the collection agencies we retain, may also report information about your account to credit bureaus, and as a result, late payments, missed payments, or other defaults on your account may be reflected in your credit report. If you wish to dispute the information eBay reported to a credit bureau (i.e., Experian, Equifax or TransUnion) please contact us at eBay Inc., C/O Global Collections, 7700 West Parmer Lane, Building D, Austin, TX 78729. If you wish to dispute the information a collection agency reported to a credit bureau regarding your eBay account, you must contact the collection agency directly.\n\nIn any jurisdiction where eBay has an obligation to collect sales taxes on sales you make using our Services, we may collect such sales taxes from you via the payment method on file under the terms of the Billing Agreement or via any other means available to us.\n\nSeller fees don't purchase exclusive rights to item exposure on our Services. We may display third-party advertisements (including links and references thereto) or other content in any part of our Services, in our sole discretion and without consent from, or payment, fee reduction, or other credit to, sellers.\nquestion: Is eBay entitled to suspend an account in the event that the credit card registered with such account is rejected?\n\nClassify this text into the most appropriate la
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{"example_id": 1054, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1054\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nApplying Saucier v. Katz, 533 U. S. 194 (2001), the Ninth Circuit first concluded that Chavez’s actions, as alleged by Martinez, deprived Martinez of his rights under the Fifth and Fourteenth Amendments.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1054_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1054, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1054\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nApplying Saucier v. Katz, 533 U. S. 194 (2001), the Ninth Circuit first concluded that Chavez’s actions, as alleged by Martinez, deprived Martinez of his rights under the Fifth and Fourteenth Amendments.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1054_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1054_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text applies Saucier v. Katz to conclude Chavez's actions deprived Martinez of rights under Fifth and Fourteenth Amendments.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text constitutes a definition of a legal term or concept.\",\n \"Whether the text is an instance of a definition applying a precedent to facts.\"\n ],\n \"knowledge_slots\": [\n \"Saucier v. Katz: procedural posture rule for § 1983 claims (screening then merits review).\",\n \"Definition classification task: determining if a text defines a legal concept or term.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not a definition but rather an application of law to facts.\"\n ],\n \"less_relevant_if\": [\n \"The text is considered a definition of 'deprivation' under the Eighth Amendment.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is considered a definition of a legal standard or concept.\"\n ],\n \"less_relevant_if\": [\n \"The text is merely an instance of legal reasoning applying a rule, not defining it.\"\n ]\n }\n ],\n \"missing_information\": [\n \"Clear operational definition of 'definition' in this classification task.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2431, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2431\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Children's Online Privacy Protection Act of 1998 to strengthen protections relating to the online collection, use, and disclosure of personal information of children and minors, and for other purposes.\nbill_summary: This bill extends to minors (ages 12–16) privacy protections previously applicable only to children (ages 0–12) and otherwise establishes greater online privacy protections for children and minors.\n\nSpecifically, the bill prohibits an operator of a website, online service, online application, or mobile application directed to a child or minor with constructive knowledge the user is a child or minor from collecting the user's personal information without\n\n providing notice and obtaining consent, providing a parent or minor with certain information upon request, conditioning participation by a user on the provision of personal information, establishing and maintaining reasonable procedures to protect the personal information collected from users. The bill also prohibits targeted marketing directed to a child or directed to a minor without the minor's consent.\n\nThe bill further outlines a set of principles governing how operators should collect and use personal information, as well as provide information to a parent or minor. A parent or minor must be able to challenge the accuracy of personal information, and an operator must provide for the erasure or correction of inaccurate personal information. Operators must also implement mechanisms for the erasure or elimination of personal information at the request of users and make users aware of such mechanisms.\n\nMoreover, the bill prohibits the sale of internet-connected devices targeted to children and minors unless they meet certain cybersecurity and data security standards, and it requires manufacturers of such devices to display a privacy dashboard detailing how personal information is collected and used.\ncompany_name: Activision Blizzard, Inc.\ncompany_description: Activision Blizzard, Inc. is a leading global developer and publisher of interactive entertainment content and services. We develop and distribute content and services on video game consoles, personal computers (\"PC\"s), and mobile devices. On February 23, 2016 (the \"King Closing Date\"), we acquired King Digital Entertainment, a leading interactive mobile entertainment company (\"King\"), by purchasing all of its outstanding shares (the \"King Acquisition\"). We made this acquisition because we believed that the addition of King's highly complementary mobile business positioned us as a global leader in interactive entertainment across mobile, console, and PC platforms, and aligned us for future growth. Our Strategy and Vision Our objective
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{"example_id": 2431, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2431\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Children's Online Privacy Protection Act of 1998 to strengthen protections relating to the online collection, use, and disclosure of personal information of children and minors, and for other purposes.\nbill_summary: This bill extends to minors (ages 12–16) privacy protections previously applicable only to children (ages 0–12) and otherwise establishes greater online privacy protections for children and minors.\n\nSpecifically, the bill prohibits an operator of a website, online service, online application, or mobile application directed to a child or minor with constructive knowledge the user is a child or minor from collecting the user's personal information without\n\n providing notice and obtaining consent, providing a parent or minor with certain information upon request, conditioning participation by a user on the provision of personal information, establishing and maintaining reasonable procedures to protect the personal information collected from users. The bill also prohibits targeted marketing directed to a child or directed to a minor without the minor's consent.\n\nThe bill further outlines a set of principles governing how operators should collect and use personal information, as well as provide information to a parent or minor. A parent or minor must be able to challenge the accuracy of personal information, and an operator must provide for the erasure or correction of inaccurate personal information. Operators must also implement mechanisms for the erasure or elimination of personal information at the request of users and make users aware of such mechanisms.\n\nMoreover, the bill prohibits the sale of internet-connected devices targeted to children and minors unless they meet certain cybersecurity and data security standards, and it requires manufacturers of such devices to display a privacy dashboard detailing how personal information is collected and used.\ncompany_name: Activision Blizzard, Inc.\ncompany_description: Activision Blizzard, Inc. is a leading global developer and publisher of interactive entertainment content and services. We develop and distribute content and services on video game consoles, personal computers (\"PC\"s), and mobile devices. On February 23, 2016 (the \"King Closing Date\"), we acquired King Digital Entertainment, a leading interactive mobile entertainment company (\"King\"), by purchasing all of its outstanding shares (the \"King Acquisition\"). We made this acquisition because we believed that the addition of King's highly complementary mobile business positioned us as a global leader in interactive entertainment across mobile, console, and PC platforms, and aligned us for future growth. Our Strategy and Vision Our objective
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{"example_id": 1746, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1746\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal with respect to an assessment made under the Income Tax Act for the 2009 taxation year is allowed, and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the appellant is entitled to the medical expense tax credit in respect of tuition paid to the TALC Academy. The appellant is entitled to her costs.\nSigned at Toronto, Ontario this 22nd day of August 2012.\nJ. M. Woods\nWoods J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1746_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1746, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1746\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal with respect to an assessment made under the Income Tax Act for the 2009 taxation year is allowed, and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the appellant is entitled to the medical expense tax credit in respect of tuition paid to the TALC Academy. The appellant is entitled to her costs.\nSigned at Toronto, Ontario this 22nd day of August 2012.\nJ. M. Woods\nWoods J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1746_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1746_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeal for 2009 taxation year is allowed\",\n \"Medical expense tax credit for tuition to TALC Academy is granted\",\n \"Appellant entitled to costs\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"The text explicitly states the outcome of the appeal\",\n \"The language 'is allowed' indicates the appeal succeeded\",\n \"The court refers the assessment back for reconsideration\"\n ],\n \"knowledge_slots\": [\n \"In Canadian tax court, 'allowed' means the appeal is granted in favor of the appellant\",\n \"'Dismissed' means the appeal is rejected\",\n \"'Other' covers outcomes like abandoned, withdrawn, or mixed rulings\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text uses 'allowed' or 'granted' for the appeal\"],\n \"less_relevant_if\": [\"The text uses 'dismissed' or 'denied'\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"The text uses 'dismissed' or 'rejected'\"],\n \"less_relevant_if\": [\"The text uses 'allowed' or 'granted'\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"The outcome is not clearly allowed or dismissed (e.g., withdrawn, abandoned)\"],\n \"less_relevant_if\": [\"The outcome is clearly allowed or dismissed\"]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1390, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1390\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: In No. 20-1042, the union challenges the Board's confidentiality and relevance rulings. In No. 20-1008, the Board seeks enforcement against Palace\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1390_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1390, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1390\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: In No. 20-1042, the union challenges the Board's confidentiality and relevance rulings. In No. 20-1008, the Board seeks enforcement against Palace\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1390_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1390_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text includes the legal citation '1 F.4th 12'.\",\n \"The text mentions two case numbers: No. 20-1042 and No. 20-1008.\",\n \"In No. 20-1042, a union challenges the Board's confidentiality and relevance rulings.\",\n \"In No. 20-1008, the Board seeks enforcement against Palace.\"\n ],\n \"missing_info\": [\n \"The broader context of the document from which this text is taken is not provided.\",\n \"The specific nature of the proceedings or the parties involved is not fully described.\"\n ],\n \"context_summary\": \"The text is a legal passage containing a citation (1 F.4th 12) and descriptions of two cases: one where a union challenges the Board's confidentiality and relevance rulings, and another where the Board seeks enforcement against Palace.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1390_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1390, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1390\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 12\nParagraph: In No. 20-1042, the union challenges the Board's confidentiality and relevance rulings. In No. 20-1008, the Board seeks enforcement against Palace\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1390_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1390_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text includes the legal citation '1 F.4th 12'.\",\n \"The text mentions two case numbers: No. 20-1042 and No. 20-1008.\",\n \"In No. 20-1042, a union challenges the Board's confidentiality and relevance rulings.\",\n \"In No. 20-1008, the Board seeks enforcement against Palace.\"\n ],\n \"missing_info\": [\n \"The broader context of the document from which this text is taken is not provided.\",\n \"The specific nature of the proceedings or the parties involved is not fully described.\"\n ],\n \"context_summary\": \"The text is a legal passage containing a citation (1 F.4th 12) and descriptions of two cases: one where a union challenges the Board's confidentiality and relevance rulings, and another where the Board seeks enforcement against Palace.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1390_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1390_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text from citation 1 F.4th 12\",\n \"Union challenges Board's confidentiality and relevance rulings in No. 20-1042\",\n \"Board seeks enforcement against Palace in No. 20-1008\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Whether the text describes procedural events or substantive reasoning\",\n \"Whether the text mentions prior court numbers and parties\",\n \"Whether the text indicates a recurring issue or a final disposition\"\n ],\n \"knowledge_slots\": [\n \"Legal decision sections: Facts, Issue, Procedural History, Rule, Analysis, Conclusion, Decree\",\n \"Procedural History typically recounts previous court actions and rulings\",\n \"Issue section states the legal question presented\",\n \"Facts provide background factual circumstan
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{"example_id": 1463, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1463\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 25\nParagraph: We reached the opposite conclusion in Townsend, not least because the original total “was the result of a downward departure” on the underlying violent felonies. 178 F.3d at 569. Because “[t]he amount of downward departure allowed by a sentencing judge is inevitably affected by the total sentence imposed,” we concluded that “the departure *** imposed on the non-[§]924(c) counts was chosen in light of the [mandatory] term imposed on the § 924(c) counts.” Id. As we noted in Townsend, “[r]equiring a sentencing judge to retain the full downward departure originally allowed on a given count even when convictions on other counts are vacated could well make judges hesitant to give generous downward departures in the first instance.” Id. By extension, “where the district court is sentencing outside the guidelines range, it is particularly important that the district court have discretion to reevaluate the entire sentencing package.” Id. (quoting United States v. Watkins, 147 F.3d 1294, 1297 (11th Cir. 1998)). As then-Judge Gorsuch noted in United States v. Smith, “court after court” has concluded “that district courts may and should consider § 924(c) sentences when sentencing for related crimes.” 756 F.3d at 1188.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1463_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1463, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1463\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 25\nParagraph: We reached the opposite conclusion in Townsend, not least because the original total “was the result of a downward departure” on the underlying violent felonies. 178 F.3d at 569. Because “[t]he amount of downward departure allowed by a sentencing judge is inevitably affected by the total sentence imposed,” we concluded that “the departure *** imposed on the non-[§]924(c) counts was chosen in light of the [mandatory] term imposed on the § 924(c) counts.” Id. As we noted in Townsend, “[r]equiring a sentencing judge to retain the full downward departure originally allowed on a given count even when convictions on other counts are vacated could well make judges hesitant to give generous downward departures in the first instance.” Id. By extension, “where the district court is sentencing outside the guidelines range, it is particularly important that the district court have discretion to reevaluate the entire sentencing package.” Id. (quoting United States v. Watkins, 147 F.3d 1294, 1297 (11th Cir. 1998)). As then-Judge Gorsuch noted in United States v. Smith, “court after court” has concluded “that district courts may and should consider § 924(c) sentences when sentencing for related crimes.” 756 F.3d at 1188.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1463_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1463_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Function of Decision Section Classification Rule: In legal opinions, sections are classified by their primary content: Facts (recitation of events), Issue (legal question), Rule (statement of legal standard), Analysis (application of rule to facts), Conclusion (final outcome), Procedural History (prior proceedings), Decree (order).\",\n \"source\": \"Legal document structure conventions\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text references and applies a legal rule or standard from precedent to the current case.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'We reached the opposite conclusion in Townsend, not least because the original total \\\"was the result of a downward departure\\\" on the underlying violent f
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{"example_id": 1463, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1463\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 25\nParagraph: We reached the opposite conclusion in Townsend, not least because the original total “was the result of a downward departure” on the underlying violent felonies. 178 F.3d at 569. Because “[t]he amount of downward departure allowed by a sentencing judge is inevitably affected by the total sentence imposed,” we concluded that “the departure *** imposed on the non-[§]924(c) counts was chosen in light of the [mandatory] term imposed on the § 924(c) counts.” Id. As we noted in Townsend, “[r]equiring a sentencing judge to retain the full downward departure originally allowed on a given count even when convictions on other counts are vacated could well make judges hesitant to give generous downward departures in the first instance.” Id. By extension, “where the district court is sentencing outside the guidelines range, it is particularly important that the district court have discretion to reevaluate the entire sentencing package.” Id. (quoting United States v. Watkins, 147 F.3d 1294, 1297 (11th Cir. 1998)). As then-Judge Gorsuch noted in United States v. Smith, “court after court” has concluded “that district courts may and should consider § 924(c) sentences when sentencing for related crimes.” 756 F.3d at 1188.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1463_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1463_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Function of Decision Section Classification Rule: In legal opinions, sections are classified by their primary content: Facts (recitation of events), Issue (legal question), Rule (statement of legal standard), Analysis (application of rule to facts), Conclusion (final outcome), Procedural History (prior proceedings), Decree (order).\",\n \"source\": \"Legal document structure conventions\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text references and applies a legal rule or standard from precedent to the current case.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'We reached the opposite conclusion in Townsend, not least because the original total \\\"was the result of a downward departure\\\" on the underlying violent f
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{"example_id": 2388, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2388\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to reauthorize activities of the Maritime Administration, and for other purposes.\nbill_summary: Maritime Administration Authorization and Enhancement Act of 2019\n\nThis bill addresses (1) several aspects of the U.S. Maritime Administration (MARAD); (2) illegal, unreported, and unregulated fishing (IUU fishing); and (3) maritime security.\n\nAmong other things, the bill\n\n reauthorizes MARAD programs, including programs associated with maintaining the U.S. Merchant Marine; promotes transparency and traceability in the seafood supply chain; promotes the use of technology to combat IUU fishing; establishes an interagency working group on maritime security, IUU fishing, and seafood fraud; and establishes a sub-working group to address IUU fishing within the U.S. exclusive economic zone in the Gulf of Mexico.\ncompany_name: VeriSign, Inc.\ncompany_description: We are a global provider of domain name registry services and internet infrastructure, enabling internet navigation for many of the world's most recognized domain names (\"Registry Services\"). Our Registry Services enable the security, stability, and resiliency of key internet infrastructure and services, including providing root zone maintainer services, operating two of the 13 global internet root servers, and providing registration services and authoritative resolution for the . com and . net top-level domains (\"TLDs\"), which support the majority of global e-commerce. On December 5, 2018, we completed the sale of our rights, economic benefits, and obligations, in all customer contracts related to our Security Services business, which primarily consisted of Distributed Denial of Service (\"DDoS\") Pursuant to our agreements with the Internet Corporation for Assigned Names and Numbers The domain name base is the active zone plus the number of domain names that are registered but not configured for use in the respective top-level domain zone file plus the number of domain names that are in a client or server hold status. Registry Services Registry Services operates the authoritative directory of and/or the back-end systems for all.com, .net, .cc, .tv, .gov Registry Services allows individuals and organizations to establish their online identities, while providing the secure, always-on access they need to communicate and transact reliably with large-scale online audiences. We are the exclusive registry of domain names within the.com, .net, and .name generic top-level domains (\"gTLDs\"), among others, under agreements with ICANN and also, with respect to the.com agreement, the U.S. Department of Commerce (\"DOC\"). Our global constellation of DNS servers provides internet protocol (\"IP\") address information in response to queries,
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{"example_id": 2388, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2388\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to reauthorize activities of the Maritime Administration, and for other purposes.\nbill_summary: Maritime Administration Authorization and Enhancement Act of 2019\n\nThis bill addresses (1) several aspects of the U.S. Maritime Administration (MARAD); (2) illegal, unreported, and unregulated fishing (IUU fishing); and (3) maritime security.\n\nAmong other things, the bill\n\n reauthorizes MARAD programs, including programs associated with maintaining the U.S. Merchant Marine; promotes transparency and traceability in the seafood supply chain; promotes the use of technology to combat IUU fishing; establishes an interagency working group on maritime security, IUU fishing, and seafood fraud; and establishes a sub-working group to address IUU fishing within the U.S. exclusive economic zone in the Gulf of Mexico.\ncompany_name: VeriSign, Inc.\ncompany_description: We are a global provider of domain name registry services and internet infrastructure, enabling internet navigation for many of the world's most recognized domain names (\"Registry Services\"). Our Registry Services enable the security, stability, and resiliency of key internet infrastructure and services, including providing root zone maintainer services, operating two of the 13 global internet root servers, and providing registration services and authoritative resolution for the . com and . net top-level domains (\"TLDs\"), which support the majority of global e-commerce. On December 5, 2018, we completed the sale of our rights, economic benefits, and obligations, in all customer contracts related to our Security Services business, which primarily consisted of Distributed Denial of Service (\"DDoS\") Pursuant to our agreements with the Internet Corporation for Assigned Names and Numbers The domain name base is the active zone plus the number of domain names that are registered but not configured for use in the respective top-level domain zone file plus the number of domain names that are in a client or server hold status. Registry Services Registry Services operates the authoritative directory of and/or the back-end systems for all.com, .net, .cc, .tv, .gov Registry Services allows individuals and organizations to establish their online identities, while providing the secure, always-on access they need to communicate and transact reliably with large-scale online audiences. We are the exclusive registry of domain names within the.com, .net, and .name generic top-level domains (\"gTLDs\"), among others, under agreements with ICANN and also, with respect to the.com agreement, the U.S. Department of Commerce (\"DOC\"). Our global constellation of DNS servers provides internet protocol (\"IP\") address information in response to queries,
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{"example_id": 2741, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2741\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Instructure, Inc.s (and its affiliate(s)) (referenced herein as Instructure) Acceptable Use Policy rules and guidelines (referenced herein collectively as the AUP GUIDELINES) cover and govern each individual end users (referenced herein with you or with your) use and access to Instructures services and websites (referenced herein as the SERVICE). Instructures Privacy Policy explains how or whether Instructure (referenced herein with we our and us) collects and uses your personally identifiable information. BY USING OUR SERVICE, YOURE AGREEING TO USE THE SERVICE IN ACCORDANCE WITH THESE AUP GUIDELINES, AND TO REVIEW INSTRUCTURES PRIVACY POLICY. PLEASE ALSO NOTE THAT THESE AUP GUIDELINES AND THE PRIVACY POLICY ARE SUBJECT TO CHANGE. PLEASE REVIEW THE APPLICABLE CURRENT VERSIONS HERE AND HERE https://www.instructure.com/policies/privacy AND https://www.instructure.com/policies/acceptable-use. IF YOU DO NOT AGREE TO BE BOUND BY THESE AUP GUIDELINES OR DISAGREE WITH THE PERSONALLY IDENTIFIABLE INFORMATION COLLECTION AND USE PRACTICES, YOU SHOULD AND MAY NOT ACCESS OR USE THE SERVICE.\n\nLICENSE GRANT\nThese AUP Guidelines provide to you a personal, revocable, limited, non-exclusive, and non-transferable license to use the Service conditioned upon your continued compliance with these AUP Guidelines. Instructure reserves all rights not granted in the AUP Guidelines.\n\nYOUR CONTENT & YOUR PERMISSIONS\nWhen you use our Service, you provide us with things like your files, content, messages, etc. (Your Content). Your Content is yours. You represent that you have all necessary right, power, and authority to use the Service and share Your Content and will comply with all applicable laws when doing so. These AUP Guidelines dont give us any rights to Your Content except for the limited rights that enable us to offer the Service. We need your permission to do things like host Your Content, back it up, or share it when you ask us to. This permission extends to our trusted third parties we work with. You therefore give us, and third parties (with whom we work) permission to use, display, host, share, and back up Your Content. By submitting Your Content, you also permit us to identify you by your username and as the contributor of Your Content.\nquestion: Does Instructure have the right to perform backups of user data without requesting user permission?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2741_1", "type": "function", "function": {"name": "reasoner
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{"example_id": 2741, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2741\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Instructure, Inc.s (and its affiliate(s)) (referenced herein as Instructure) Acceptable Use Policy rules and guidelines (referenced herein collectively as the AUP GUIDELINES) cover and govern each individual end users (referenced herein with you or with your) use and access to Instructures services and websites (referenced herein as the SERVICE). Instructures Privacy Policy explains how or whether Instructure (referenced herein with we our and us) collects and uses your personally identifiable information. BY USING OUR SERVICE, YOURE AGREEING TO USE THE SERVICE IN ACCORDANCE WITH THESE AUP GUIDELINES, AND TO REVIEW INSTRUCTURES PRIVACY POLICY. PLEASE ALSO NOTE THAT THESE AUP GUIDELINES AND THE PRIVACY POLICY ARE SUBJECT TO CHANGE. PLEASE REVIEW THE APPLICABLE CURRENT VERSIONS HERE AND HERE https://www.instructure.com/policies/privacy AND https://www.instructure.com/policies/acceptable-use. IF YOU DO NOT AGREE TO BE BOUND BY THESE AUP GUIDELINES OR DISAGREE WITH THE PERSONALLY IDENTIFIABLE INFORMATION COLLECTION AND USE PRACTICES, YOU SHOULD AND MAY NOT ACCESS OR USE THE SERVICE.\n\nLICENSE GRANT\nThese AUP Guidelines provide to you a personal, revocable, limited, non-exclusive, and non-transferable license to use the Service conditioned upon your continued compliance with these AUP Guidelines. Instructure reserves all rights not granted in the AUP Guidelines.\n\nYOUR CONTENT & YOUR PERMISSIONS\nWhen you use our Service, you provide us with things like your files, content, messages, etc. (Your Content). Your Content is yours. You represent that you have all necessary right, power, and authority to use the Service and share Your Content and will comply with all applicable laws when doing so. These AUP Guidelines dont give us any rights to Your Content except for the limited rights that enable us to offer the Service. We need your permission to do things like host Your Content, back it up, or share it when you ask us to. This permission extends to our trusted third parties we work with. You therefore give us, and third parties (with whom we work) permission to use, display, host, share, and back up Your Content. By submitting Your Content, you also permit us to identify you by your username and as the contributor of Your Content.\nquestion: Does Instructure have the right to perform backups of user data without requesting user permission?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2741_1", "type": "function", "function": {"name": "reasoner_tool", "argum
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{"example_id": 1861, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1861\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached reasons for judgment, the appeal from the reassessment made under the Income Tax Act for the 2006 taxation year is dismissed with costs.\nSigned at Ottawa, Canada, this 1st day of October 2015.\nRobert J. Hogan\nHogan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1861_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1861, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1861\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached reasons for judgment, the appeal from the reassessment made under the Income Tax Act for the 2006 taxation year is dismissed with costs.\nSigned at Ottawa, Canada, this 1st day of October 2015.\nRobert J. Hogan\nHogan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1861_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1861_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a court judgment for a tax appeal\",\n \"The judgment states the appeal is dismissed with costs\",\n \"Signed by a judge in Ottawa on October 1, 2015\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome words like 'dismissed' or 'allowed' in the text\",\n \"Context of the judgment beyond the first sentence\",\n \"Standard meaning of legal outcome terms in Canadian tax court\"\n ],\n \"knowledge_slots\": [\n \"In legal judgments, phrases like 'appeal is dismissed' indicate the outcome\",\n \"'Dismissed with costs' is a common explicit outcome statement\",\n \"Canadian tax court judgments often use formal language for outcomes\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text contains words like 'allowed' or 'granted' indicating the appeal was successful\"\n ],\n \"less_relevant_if\": [\n \"Text uses 'dismissed' or 'denied'\",\n \"Costs are assigned against the appellant\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text contains explicit statement that the appeal is 'dismissed'\"\n ],\n \"less_relevant_if\": [\n \"Text says 'allowed' or 'accepted'\"\n ]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\n \"Text does not clearly state 'dismissed' or 'allowed'\",\n \"Outcome is ambiguous or not directly stated\"\n ],\n \"less_relevant_if\": [\n \"Text includes a clear outcome phrase like 'dismissed' or 'allowed'\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2671, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2671\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Fee-Based Services and Billing. Unless otherwise specified in the additional terms that apply to the Services you are using, the terms in this Section 11 apply to you.\n\nWe offer products and subscriptions for a fee (fee-based Services). These fee-based Services are governed by the additional terms you agree to when you register for the fee-based Service and these Terms. If you register for a fee-based Service, you must designate a payment method and provide us with accurate billing and payment information and you have the continuing obligation to keep it up to date. Many fee-based Services require you to have, or register for, a Yahoo, AOL or other Verizon Media ID. If you are an AOL Dial-Up customer, please see additional terms by clicking here.\n\nThe following important provisions apply to all of our fee-based services:\n\nThird-Party products. If the fee-based Service includes a third-party product, you understand and agree that your purchase and use of the Service is also subject to the third partys terms of service and privacy policy, which you should read thoroughly before agreeing to them.\n\nPayments. You represent that you are at least the minimum age required to enter into a legal agreement. You agree to pay us for any fee-based Services you purchase from us, as well as all other charges incurred under your account, including applicable taxes and fees. You are responsible for all charges incurred under your account, including purchases made by you or anyone you allow to use your account or any sub-or linked accounts (including any person with implied, actual, or apparent authority) or anyone who gains access to your account as a result of your failure to safeguard your authentication credentials.\n\nPayment Methods. You authorize and direct us to charge your designated payment method for these charges or, if it fails, to charge any other payment method you have on file with us, even if we received it in association with other fee-based services. You are responsible for all charges even if your payment method fails or is denied. You authorize and direct us to retain all information about any payment method(s) associated with your account. We may import payment information you entered during a prior purchase and provide you the option to use that payment information during purchase of a new product. You permit us to obtain and use updated information from the issuer of your payment method in accordance with the policies and procedures of any applicable card brands. We may in some instances continue charging a payment method past its expiration date at our discretion and subject to the payment processors' or issuing bank's approval. Surcharges may apply if you use certain payment metho
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{"example_id": 2671, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2671\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Fee-Based Services and Billing. Unless otherwise specified in the additional terms that apply to the Services you are using, the terms in this Section 11 apply to you.\n\nWe offer products and subscriptions for a fee (fee-based Services). These fee-based Services are governed by the additional terms you agree to when you register for the fee-based Service and these Terms. If you register for a fee-based Service, you must designate a payment method and provide us with accurate billing and payment information and you have the continuing obligation to keep it up to date. Many fee-based Services require you to have, or register for, a Yahoo, AOL or other Verizon Media ID. If you are an AOL Dial-Up customer, please see additional terms by clicking here.\n\nThe following important provisions apply to all of our fee-based services:\n\nThird-Party products. If the fee-based Service includes a third-party product, you understand and agree that your purchase and use of the Service is also subject to the third partys terms of service and privacy policy, which you should read thoroughly before agreeing to them.\n\nPayments. You represent that you are at least the minimum age required to enter into a legal agreement. You agree to pay us for any fee-based Services you purchase from us, as well as all other charges incurred under your account, including applicable taxes and fees. You are responsible for all charges incurred under your account, including purchases made by you or anyone you allow to use your account or any sub-or linked accounts (including any person with implied, actual, or apparent authority) or anyone who gains access to your account as a result of your failure to safeguard your authentication credentials.\n\nPayment Methods. You authorize and direct us to charge your designated payment method for these charges or, if it fails, to charge any other payment method you have on file with us, even if we received it in association with other fee-based services. You are responsible for all charges even if your payment method fails or is denied. You authorize and direct us to retain all information about any payment method(s) associated with your account. We may import payment information you entered during a prior purchase and provide you the option to use that payment information during purchase of a new product. You permit us to obtain and use updated information from the issuer of your payment method in accordance with the policies and procedures of any applicable card brands. We may in some instances continue charging a payment method past its expiration date at our discretion and subject to the payment processors' or issuing bank's approval. Surcharges may apply if you use certain payment metho
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{"example_id": 2671, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2671\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Fee-Based Services and Billing. Unless otherwise specified in the additional terms that apply to the Services you are using, the terms in this Section 11 apply to you.\n\nWe offer products and subscriptions for a fee (fee-based Services). These fee-based Services are governed by the additional terms you agree to when you register for the fee-based Service and these Terms. If you register for a fee-based Service, you must designate a payment method and provide us with accurate billing and payment information and you have the continuing obligation to keep it up to date. Many fee-based Services require you to have, or register for, a Yahoo, AOL or other Verizon Media ID. If you are an AOL Dial-Up customer, please see additional terms by clicking here.\n\nThe following important provisions apply to all of our fee-based services:\n\nThird-Party products. If the fee-based Service includes a third-party product, you understand and agree that your purchase and use of the Service is also subject to the third partys terms of service and privacy policy, which you should read thoroughly before agreeing to them.\n\nPayments. You represent that you are at least the minimum age required to enter into a legal agreement. You agree to pay us for any fee-based Services you purchase from us, as well as all other charges incurred under your account, including applicable taxes and fees. You are responsible for all charges incurred under your account, including purchases made by you or anyone you allow to use your account or any sub-or linked accounts (including any person with implied, actual, or apparent authority) or anyone who gains access to your account as a result of your failure to safeguard your authentication credentials.\n\nPayment Methods. You authorize and direct us to charge your designated payment method for these charges or, if it fails, to charge any other payment method you have on file with us, even if we received it in association with other fee-based services. You are responsible for all charges even if your payment method fails or is denied. You authorize and direct us to retain all information about any payment method(s) associated with your account. We may import payment information you entered during a prior purchase and provide you the option to use that payment information during purchase of a new product. You permit us to obtain and use updated information from the issuer of your payment method in accordance with the policies and procedures of any applicable card brands. We may in some instances continue charging a payment method past its expiration date at our discretion and subject to the payment processors' or issuing bank's approval. Surcharges may apply if you use certain payment metho
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{"example_id": 2489, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2489\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 9. Paid Services and Payment Information\nThere are no fees for the use of many aspects of the Services. However, some services, including Reddit Premium and Virtual Goods, may be available for purchase (Paid Services). In addition to these Terms, by purchasing or using Reddit Premium or our Virtual Goods, you further agree to the Reddit Premium and Virtual Goods Agreement.\n\nReddit may change the fees or benefits associated with the Paid Services from time to time with reasonable advance notice of material changes; provided, however, that no advance notice will be required for temporary promotions, including temporary reductions in the fees associated with the Paid Services.\n\nYou may submit your debit card, credit card, or other payment information (Payment Information) via our Services to purchase the Paid Services. We use third-party service providers to process your Payment Information. If you submit your Payment Information, you agree to pay all costs that you incur, and you give us permission to charge you when payment is due for an amount that includes these costs and any applicable taxes and fees.\nquestion: Are there some Reddit services that I need to pay for in order to use?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2489_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 2489, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2489\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 9. Paid Services and Payment Information\nThere are no fees for the use of many aspects of the Services. However, some services, including Reddit Premium and Virtual Goods, may be available for purchase (Paid Services). In addition to these Terms, by purchasing or using Reddit Premium or our Virtual Goods, you further agree to the Reddit Premium and Virtual Goods Agreement.\n\nReddit may change the fees or benefits associated with the Paid Services from time to time with reasonable advance notice of material changes; provided, however, that no advance notice will be required for temporary promotions, including temporary reductions in the fees associated with the Paid Services.\n\nYou may submit your debit card, credit card, or other payment information (Payment Information) via our Services to purchase the Paid Services. We use third-party service providers to process your Payment Information. If you submit your Payment Information, you agree to pay all costs that you incur, and you give us permission to charge you when payment is due for an amount that includes these costs and any applicable taxes and fees.\nquestion: Are there some Reddit services that I need to pay for in order to use?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2489_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2489_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Contract interpretation: explicit agreement terms determine whether payment is required for a service.\", \"source\": \"General contract law principles\"},\n {\"rule\": \"Express terms rule: the meaning of a contract is determined by the plain meaning of its express terms.\", \"source\": \"Contract interpretation doctrine\"}\n ],\n \"elements\": [\n {\"element\": \"The contract explicitly states that some services are paid (i.e., 'may be available for purchase' as Paid Services).\", \"satisfied\": \"yes\", \"evidence\": \"Section 9 of the contract: 'some services, including Reddit Premium and Virtual Goods, may be available for purchase (Paid Services).'\"},\n {\"element\": \"The contract implies that payment is required to use those services.\", \"satisfied\": \"yes\", \"evidence\": \"The section also states that by purchasing or using Reddit Premium or Virtual Goods, the user agrees to additional terms, indicating a cost.\"},\n {\"element\": \"The contract provides an exception that
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{"example_id": 2489, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2489\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 9. Paid Services and Payment Information\nThere are no fees for the use of many aspects of the Services. However, some services, including Reddit Premium and Virtual Goods, may be available for purchase (Paid Services). In addition to these Terms, by purchasing or using Reddit Premium or our Virtual Goods, you further agree to the Reddit Premium and Virtual Goods Agreement.\n\nReddit may change the fees or benefits associated with the Paid Services from time to time with reasonable advance notice of material changes; provided, however, that no advance notice will be required for temporary promotions, including temporary reductions in the fees associated with the Paid Services.\n\nYou may submit your debit card, credit card, or other payment information (Payment Information) via our Services to purchase the Paid Services. We use third-party service providers to process your Payment Information. If you submit your Payment Information, you agree to pay all costs that you incur, and you give us permission to charge you when payment is due for an amount that includes these costs and any applicable taxes and fees.\nquestion: Are there some Reddit services that I need to pay for in order to use?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2489_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2489_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Contract interpretation: explicit agreement terms determine whether payment is required for a service.\", \"source\": \"General contract law principles\"},\n {\"rule\": \"Express terms rule: the meaning of a contract is determined by the plain meaning of its express terms.\", \"source\": \"Contract interpretation doctrine\"}\n ],\n \"elements\": [\n {\"element\": \"The contract explicitly states that some services are paid (i.e., 'may be available for purchase' as Paid Services).\", \"satisfied\": \"yes\", \"evidence\": \"Section 9 of the contract: 'some services, including Reddit Premium and Virtual Goods, may be available for purchase (Paid Services).'\"},\n {\"element\": \"The contract implies that payment is required to use those services.\", \"satisfied\": \"yes\", \"evidence\": \"The section also states that by purchasing or using Reddit Premium or Virtual Goods, the user agrees to additional terms, indicating a cost.\"},\n {\"element\": \"The contract provides an exception that
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{"example_id": 2534, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2534\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: CONTROLLING LAW\t\nThese AUP Guidelines and your use of the Service will be interpreted, governed and construed by the laws of Delaware law except for its conflicts of laws principles, unless otherwise agreed in a separate written agreement with Instructure or as required by a mandatory law of a competent jurisdiction.\n\nENTIRE AGREEMENT\nThese AUP Guidelines set forth terms governing your use of the Service, and supersede and replace any other prior or contemporaneous agreements applicable to the subject matter of these AUP Guidelines. These AUP Guidelines create no third-party beneficiary rights. These AUP Guidelines shall inure to the benefit of Instructure and its respective legal representatives, successors, and assigns.\n\nWAIVER, SEVERABILITY & ASSIGNMENT\nInstructures failure to enforce a provision is not a waiver of its right to do so later. You may not assign any of your rights under these AUP Guidelines, and any such attempt will be void. Instructure may assign its rights to any of its affiliates or subsidiaries, or to any successor in interest of any business associated with the Service. If any provision of these AUP Guidelines is held by a court of competent jurisdiction to be contrary to law, such provision shall be changed and interpreted so as to best accomplish the objectives of the original provision to the fullest extent allowed by law and the remaining provisions of these AUP Guidelines will remain in full force and effect.\n\nMODIFICATIONS\nWe may revise these AUP Guidelines from time to time, and will always post the most current version HERE. If a revision meaningfully reduces your rights, we will provide notice to you (by, for example, sending a message to the email address associated with your account). By continuing to use or access the Service after the revisions come into effect, you agree to be bound by and subject to the revised AUP Guidelines.\n\nNOTICES\nFor any notices relating to these AUP Guidelines, you may contact Instructure by sending an email to legal@instructure.com.\nquestion: Are there some changes to the terms that Instructure might not let me know about?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2534_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2534, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2534\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: CONTROLLING LAW\t\nThese AUP Guidelines and your use of the Service will be interpreted, governed and construed by the laws of Delaware law except for its conflicts of laws principles, unless otherwise agreed in a separate written agreement with Instructure or as required by a mandatory law of a competent jurisdiction.\n\nENTIRE AGREEMENT\nThese AUP Guidelines set forth terms governing your use of the Service, and supersede and replace any other prior or contemporaneous agreements applicable to the subject matter of these AUP Guidelines. These AUP Guidelines create no third-party beneficiary rights. These AUP Guidelines shall inure to the benefit of Instructure and its respective legal representatives, successors, and assigns.\n\nWAIVER, SEVERABILITY & ASSIGNMENT\nInstructures failure to enforce a provision is not a waiver of its right to do so later. You may not assign any of your rights under these AUP Guidelines, and any such attempt will be void. Instructure may assign its rights to any of its affiliates or subsidiaries, or to any successor in interest of any business associated with the Service. If any provision of these AUP Guidelines is held by a court of competent jurisdiction to be contrary to law, such provision shall be changed and interpreted so as to best accomplish the objectives of the original provision to the fullest extent allowed by law and the remaining provisions of these AUP Guidelines will remain in full force and effect.\n\nMODIFICATIONS\nWe may revise these AUP Guidelines from time to time, and will always post the most current version HERE. If a revision meaningfully reduces your rights, we will provide notice to you (by, for example, sending a message to the email address associated with your account). By continuing to use or access the Service after the revisions come into effect, you agree to be bound by and subject to the revised AUP Guidelines.\n\nNOTICES\nFor any notices relating to these AUP Guidelines, you may contact Instructure by sending an email to legal@instructure.com.\nquestion: Are there some changes to the terms that Instructure might not let me know about?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2534_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2534_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The contract includes a modifications clause stating that revisions meaningfully reducing rights will be noti
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{"example_id": 1608, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1608\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: Even under the instance and expense test, Markham's successors-in-interest insist that they prevail. They offer two arguments, both of which were considered and rejected by the district court. First, they maintain that the game fails to satisfy the second prong of the test because it was not made at Klamer's expense. Second, arguing that the test creates only a presumption that the work qualifies as a work for hire, they contend that language in the assignment agreement between Link Research and Markham is enough to rebut the presumption. We construe these arguments as raising fact-intensive mixed questions, which we review with some deference to the district court. See In re IDC Clambakes, Inc., 727 F.3d at 64.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1608_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1608, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1608\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 75\nParagraph: Even under the instance and expense test, Markham's successors-in-interest insist that they prevail. They offer two arguments, both of which were considered and rejected by the district court. First, they maintain that the game fails to satisfy the second prong of the test because it was not made at Klamer's expense. Second, arguing that the test creates only a presumption that the work qualifies as a work for hire, they contend that language in the assignment agreement between Link Research and Markham is enough to rebut the presumption. We construe these arguments as raising fact-intensive mixed questions, which we review with some deference to the district court. See In re IDC Clambakes, Inc., 727 F.3d at 64.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1608_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1608_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Citation: 1 F.4th 75\",\n \"Paragraph discusses Markham's successors-in-interest arguments\",\n \"Arguments relate to game's satisfaction of instance and expense test\",\n \"District court considered and rejected both arguments\",\n \"Arguments frame fact-intensive mixed questions with deference review\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the paragraph presents reasoning about legal arguments\",\n \"Whether the paragraph refers to reviewing a lower court with deference\",\n \"Whether the paragraph does not state a final holding or order\",\n \"Whether the paragraph does not recite factual background or procedural history\"\n ],\n \"knowledge_slots\": [\n \"Legal decision sections: Analysis typically includes evaluation of arguments and application of law\",\n \"Conclusion section usually contains the court's final determination\",\n \"Procedural History recounts prior court actions and appeals\",\n \"Facts present case-specific factual circumstances\",\n \"Issue identifies the legal question to be resolved\",\n \"Rule states the governing legal standard or test\",\n \"Decree is the formal order issued by the court\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The
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{"example_id": 2348, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2348\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Occupational Safety and Health Act of 1970 to expand coverage under the Act, to increase protections for whistleblowers, to increase penalties for high gravity violations, to adjust penalties for inflation, to provide rights for victims or their family members, and for other purposes.\nbill_summary: Protecting America's Workers Act\n\nThis bill expands the coverage of requirements governing workplace safety and health to include protection for federal, state, and local government employees. However, the bill does not cover working conditions otherwise covered by federal requirements for mine safety and health.\n\nThe bill revises requirements governing worker protection, including by\n\n expanding protections for whistle-blowers, such as protections for employees who refuse to perform work because they reasonably believe the work would result in serious injury or illness and for employees who aid inspections; directing employers to furnish a hazard-free place of employment to all individuals performing work, not just employees; directing employers to report work-related deaths or certain injuries, illnesses, or hospitalizations; requiring the Department of Labor to investigate fatalities or significant incidents in the workplace; establishing rights for victims, or representatives of victims, with respect to inspections or investigations of work-related bodily injuries or deaths; setting the permitted period for employers to correct serious, willful, or repeated violations while citations for the violations are being contested; increasing civil and criminal penalties for certain violations; expanding enforcement requirements relating to state occupational safety and health plans; expanding requirements for workplace health hazard evaluations by the National Institute for Occupational Safety and Health; and requiring Labor to provide training programs concerning employee rights and employer responsibilities.\ncompany_name: Ralph Lauren Corp.\ncompany_description: General Founded in 1967 by Mr. Ralph Lauren, we are a global leader in the design, marketing, and distribution of premium lifestyle products, including apparel, accessories, home furnishings, and other licensed product categories. Our long-standing reputation and distinctive image have been developed across an expanding number of products, brands, sales channels, and international markets. We believe that our global reach, breadth of product offerings, and multi-channel distribution are unique among luxury and apparel companies. Our wholesale sales are made principally to major department stores and specialty stores around the world. We also sell directly to consumers through our integrated retail channel, which includes our
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{"example_id": 2348, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2348\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Occupational Safety and Health Act of 1970 to expand coverage under the Act, to increase protections for whistleblowers, to increase penalties for high gravity violations, to adjust penalties for inflation, to provide rights for victims or their family members, and for other purposes.\nbill_summary: Protecting America's Workers Act\n\nThis bill expands the coverage of requirements governing workplace safety and health to include protection for federal, state, and local government employees. However, the bill does not cover working conditions otherwise covered by federal requirements for mine safety and health.\n\nThe bill revises requirements governing worker protection, including by\n\n expanding protections for whistle-blowers, such as protections for employees who refuse to perform work because they reasonably believe the work would result in serious injury or illness and for employees who aid inspections; directing employers to furnish a hazard-free place of employment to all individuals performing work, not just employees; directing employers to report work-related deaths or certain injuries, illnesses, or hospitalizations; requiring the Department of Labor to investigate fatalities or significant incidents in the workplace; establishing rights for victims, or representatives of victims, with respect to inspections or investigations of work-related bodily injuries or deaths; setting the permitted period for employers to correct serious, willful, or repeated violations while citations for the violations are being contested; increasing civil and criminal penalties for certain violations; expanding enforcement requirements relating to state occupational safety and health plans; expanding requirements for workplace health hazard evaluations by the National Institute for Occupational Safety and Health; and requiring Labor to provide training programs concerning employee rights and employer responsibilities.\ncompany_name: Ralph Lauren Corp.\ncompany_description: General Founded in 1967 by Mr. Ralph Lauren, we are a global leader in the design, marketing, and distribution of premium lifestyle products, including apparel, accessories, home furnishings, and other licensed product categories. Our long-standing reputation and distinctive image have been developed across an expanding number of products, brands, sales channels, and international markets. We believe that our global reach, breadth of product offerings, and multi-channel distribution are unique among luxury and apparel companies. Our wholesale sales are made principally to major department stores and specialty stores around the world. We also sell directly to consumers through our integrated retail channel, which includes our
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{"example_id": 743, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 743\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs the moving party, respondent had the burden of showing the absence of a genuine issue as to any material fact, and for these purposes the material it lodged must be viewed in the light most favorable to the opposing party.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_743_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 743, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 743\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs the moving party, respondent had the burden of showing the absence of a genuine issue as to any material fact, and for these purposes the material it lodged must be viewed in the light most favorable to the opposing party.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_743_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_743_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The moving party is the respondent.\",\n \"The respondent had the burden of showing the absence of a genuine issue as to any material fact.\",\n \"The material must be viewed in the light most favorable to the opposing party.\"\n ],\n \"missing_info\": [\n \"The specific legal definition or rule that this text is supposed to be classified as an example of.\"\n ],\n \"context_summary\": \"The text describes the burden on the moving party (respondent) to show absence of a genuine issue of material fact, with material viewed favorably to the opposing party.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_743_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 743, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 743\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs the moving party, respondent had the burden of showing the absence of a genuine issue as to any material fact, and for these purposes the material it lodged must be viewed in the light most favorable to the opposing party.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_743_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_743_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The moving party is the respondent.\",\n \"The respondent had the burden of showing the absence of a genuine issue as to any material fact.\",\n \"The material must be viewed in the light most favorable to the opposing party.\"\n ],\n \"missing_info\": [\n \"The specific legal definition or rule that this text is supposed to be classified as an example of.\"\n ],\n \"context_summary\": \"The text describes the burden on the moving party (respondent) to show absence of a genuine issue of material fact, with material viewed favorably to the opposing party.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_743_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_743_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text states respondent had burden of showing absence of genuine issue of material fact\",\n \"Text says material viewed in light most favorable to opposing party\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches the target definition's description of burden shifting\",\n \"Whether the text emphasizes favorable viewing of opposing party's material\"\n ],\n \"knowledge_slots\": [\n \"Definition typically includes: moving party bears burden, favorable view of opposing party's evidence\",\n \"No definition would focus on burden assignment and favorable consideration\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not align with the target definition's core elements\",\n \"Text omits key aspects like burden or favorable view\"\n ],\n \"less_relevant_if\": [\n \"Text partially matches but crucial details are missing\",\n \"Definition requires specific phrasing absent from text\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"
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{"example_id": 2368, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2368\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend title XIX of the Social Security Act to promote access to life-saving therapies for Medicaid enrollees by ensuring coverage of routine patient costs for items and services furnished in connection with participation in qualifying clinical trials, and for other purposes.\nbill_summary: Covering Life-saving Investigations Needed in Cancer and Other Life-threatening Conditions through Timely use of Resources for Easy and Affordable Treatment from Medicaid for Enrollees in Need Today Act or the CLINICAL TREATMENT Act\n\nThis bill requires state Medicaid programs to cover routine patient costs for items and services that are provided in connection with a qualifying clinical trial regarding cancer or other life-threatening conditions.\n\nThe bill defines \"routine patient costs\" to include items and services that would otherwise be covered under Medicaid absent the patient's participation in the clinical trial; the term includes items and services relating to trial complications, but excludes those items and services that are the subject of the trial or that are provided solely in relation to data analysis.\n\nAdditionally, a \"qualifying clinical trial\" means, among other things, a clinical trial that is approved or funded by specified entities (e.g., the National Institutes of Health) or is an authorized new drug trial.\ncompany_name: Agios Pharmaceuticals, Inc.\ncompany_description: We are a biopharmaceutical company committed to the fundamental transformation of patients' lives through scientific leadership in the field of cellular metabolism, with the goal of making transformative, first- or best-in-class medicines. Our therapeutic areas of focus are cancer and rare genetic diseases, or RGDs, which are diseases that are directly caused by changes in genes or chromosomes, often passed from one generation to the next. The incidence of a single RGD can vary widely but is generally very infrequent, usually equal to or less than one per 100,000 births. In both areas of cancer and RGDs, we are seeking to unlock the biology of cellular metabolism as a platform to create transformative therapies. Our first commercial cancer product is IDHIFA®. In August 2017, the FDA granted our collaboration partner Celgene Corporation, or Celgene, approval of IDHIFA® for the treatment of adult patients with R/R AML, and an IDH2 mutation as detected by an FDA-approved test. IDHIFA®, an oral targeted inhibitor of the mutated IDH2 enzyme, is the first and only FDA-approved therapy for patients with R/R AML and an IDH2 mutation. Our most advanced clinical cancer product candidates are ivosidenib, which targets mutated IDH1, and AG-881, which is a brain-penetrant pan-IDH mutant inhibitor. In December 2017, we
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{"example_id": 2368, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2368\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend title XIX of the Social Security Act to promote access to life-saving therapies for Medicaid enrollees by ensuring coverage of routine patient costs for items and services furnished in connection with participation in qualifying clinical trials, and for other purposes.\nbill_summary: Covering Life-saving Investigations Needed in Cancer and Other Life-threatening Conditions through Timely use of Resources for Easy and Affordable Treatment from Medicaid for Enrollees in Need Today Act or the CLINICAL TREATMENT Act\n\nThis bill requires state Medicaid programs to cover routine patient costs for items and services that are provided in connection with a qualifying clinical trial regarding cancer or other life-threatening conditions.\n\nThe bill defines \"routine patient costs\" to include items and services that would otherwise be covered under Medicaid absent the patient's participation in the clinical trial; the term includes items and services relating to trial complications, but excludes those items and services that are the subject of the trial or that are provided solely in relation to data analysis.\n\nAdditionally, a \"qualifying clinical trial\" means, among other things, a clinical trial that is approved or funded by specified entities (e.g., the National Institutes of Health) or is an authorized new drug trial.\ncompany_name: Agios Pharmaceuticals, Inc.\ncompany_description: We are a biopharmaceutical company committed to the fundamental transformation of patients' lives through scientific leadership in the field of cellular metabolism, with the goal of making transformative, first- or best-in-class medicines. Our therapeutic areas of focus are cancer and rare genetic diseases, or RGDs, which are diseases that are directly caused by changes in genes or chromosomes, often passed from one generation to the next. The incidence of a single RGD can vary widely but is generally very infrequent, usually equal to or less than one per 100,000 births. In both areas of cancer and RGDs, we are seeking to unlock the biology of cellular metabolism as a platform to create transformative therapies. Our first commercial cancer product is IDHIFA®. In August 2017, the FDA granted our collaboration partner Celgene Corporation, or Celgene, approval of IDHIFA® for the treatment of adult patients with R/R AML, and an IDH2 mutation as detected by an FDA-approved test. IDHIFA®, an oral targeted inhibitor of the mutated IDH2 enzyme, is the first and only FDA-approved therapy for patients with R/R AML and an IDH2 mutation. Our most advanced clinical cancer product candidates are ivosidenib, which targets mutated IDH1, and AG-881, which is a brain-penetrant pan-IDH mutant inhibitor. In December 2017, we
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{"example_id": 2368, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2368\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend title XIX of the Social Security Act to promote access to life-saving therapies for Medicaid enrollees by ensuring coverage of routine patient costs for items and services furnished in connection with participation in qualifying clinical trials, and for other purposes.\nbill_summary: Covering Life-saving Investigations Needed in Cancer and Other Life-threatening Conditions through Timely use of Resources for Easy and Affordable Treatment from Medicaid for Enrollees in Need Today Act or the CLINICAL TREATMENT Act\n\nThis bill requires state Medicaid programs to cover routine patient costs for items and services that are provided in connection with a qualifying clinical trial regarding cancer or other life-threatening conditions.\n\nThe bill defines \"routine patient costs\" to include items and services that would otherwise be covered under Medicaid absent the patient's participation in the clinical trial; the term includes items and services relating to trial complications, but excludes those items and services that are the subject of the trial or that are provided solely in relation to data analysis.\n\nAdditionally, a \"qualifying clinical trial\" means, among other things, a clinical trial that is approved or funded by specified entities (e.g., the National Institutes of Health) or is an authorized new drug trial.\ncompany_name: Agios Pharmaceuticals, Inc.\ncompany_description: We are a biopharmaceutical company committed to the fundamental transformation of patients' lives through scientific leadership in the field of cellular metabolism, with the goal of making transformative, first- or best-in-class medicines. Our therapeutic areas of focus are cancer and rare genetic diseases, or RGDs, which are diseases that are directly caused by changes in genes or chromosomes, often passed from one generation to the next. The incidence of a single RGD can vary widely but is generally very infrequent, usually equal to or less than one per 100,000 births. In both areas of cancer and RGDs, we are seeking to unlock the biology of cellular metabolism as a platform to create transformative therapies. Our first commercial cancer product is IDHIFA®. In August 2017, the FDA granted our collaboration partner Celgene Corporation, or Celgene, approval of IDHIFA® for the treatment of adult patients with R/R AML, and an IDH2 mutation as detected by an FDA-approved test. IDHIFA®, an oral targeted inhibitor of the mutated IDH2 enzyme, is the first and only FDA-approved therapy for patients with R/R AML and an IDH2 mutation. Our most advanced clinical cancer product candidates are ivosidenib, which targets mutated IDH1, and AG-881, which is a brain-penetrant pan-IDH mutant inhibitor. In December 2017, we
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{"example_id": 1074, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1074\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe reasons upon which a different-rule rests in England with reference to other than mercantile contracts, do not outweigh this consideration.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1074_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1074, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1074\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe reasons upon which a different-rule rests in England with reference to other than mercantile contracts, do not outweigh this consideration.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1074_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1074_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses reasons for a different rule in England regarding non-mercantile contracts\",\n \"Text states these reasons do not outweigh a specific consideration\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text expresses a positive or negative stance on the applicability of a rule\",\n \"The weight given to the considered factor relative to other reasons\"\n ],\n \"knowledge_slots\": [\n \"In LegalBench definition_classification, texts are typically assigned a binary label (Yes/No) based on alignment with a predefined definition\",\n \"The definition to be tested is not provided; common definitions include 'the text supports the rule' or 'the text rejects the rule'\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text implies that the different rule is not applicable or is overruled\",\n \"The text suggests the consideration mentioned is decisive against the rule\"\n ],\n \"less_relevant_if\": [\n \"The text appears to endorse or explain the different rule\",\n \"The text is neutral or ambiguous about the rule's applicability\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is interpreted as supporting or explaining the different rule\",\n \"The text indicates that the considered factor does not outweigh the rule's reasons\"\n ],\n \"less_relevant_if\": [\n \"The text is read as rejecting or downplaying the rule\",\n \"The text primarily discusses the weight of a consideration rather than the rule itself\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition being applied in the classification\",\n \"Additional context about what 'rule' and 'consideration' refer to\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 619, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 619\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe proper characterization of governmental power should generally depend on the nature of the power, not on the identity of the person exercising it. See Black's Law Dictionary 899 (6th ed.1990) (defining “legislation” as, inter alia, “[f]ormulation of rule[s] for the future”); 1 K. Davis & R. Pierce, Administrative Law Treatise § 2.3, p. 37 (3d ed. 1994) (“If legislative power means the power to make rules of conduct **921 that bind everyone based on resolution of major policy issues, scores of agencies exercise legislative power routinely by *489 promulgating what are candidly called ‘legislative rules' ”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_619_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 619, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 619\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe proper characterization of governmental power should generally depend on the nature of the power, not on the identity of the person exercising it. See Black's Law Dictionary 899 (6th ed.1990) (defining “legislation” as, inter alia, “[f]ormulation of rule[s] for the future”); 1 K. Davis & R. Pierce, Administrative Law Treatise § 2.3, p. 37 (3d ed. 1994) (“If legislative power means the power to make rules of conduct **921 that bind everyone based on resolution of major policy issues, scores of agencies exercise legislative power routinely by *489 promulgating what are candidly called ‘legislative rules' ”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_619_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_619_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses governmental power characterization based on nature, not person\",\n \"Cites Black's Law Dictionary definition of 'legislation'\",\n \"Cites administrative law treatise discussing legislative power of agencies\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text aligns with a definition of legislative power\",\n \"Whether the text supports the concept that power depends on function over identity\",\n \"Degree of quotation usage and reference to legal sources\"\n ],\n \"knowledge_slots\": [\n \"Legal distinction between legislative, executive, and regulatory powers\",\n \"Doctrine of separation of powers and agency rulemaking authority\",\n \"Role of Black's Law Dictionary in defining legal terms\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is evaluated as not being an instance of the defined concept\",\n \"The text is considered to discuss a different aspect of power classification\"\n ],\n \"less_relevant_if\": [\n \"The text directly illustrates the defined principle with cited authorities\",\n \"The text is interpreted as a clear application of the definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is seen as an exemplar of the defined concept or its converse\",\n \"The text's content matches the criteria used in the classification task\"\n ],\n \"less_relevant_if\": [\n \"The text is ambiguous or off-topic regarding t
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{"example_id": 2367, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2367\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Social Security Act to establish a new employment, training, and supportive services program for the long-term unemployed and individuals with barriers to employment, and for other purposes.\nbill_summary: Economic Ladders to End Volatility and Advance Training and Employment Act of 2019 or the ELEVATE Act of 2019\n\nThis bill establishes a federal program to help fund (1) state- and tribe-run job-assistance programs, and (2) assistance for self-employed individuals and workers who relocate for employment opportunities.\n\nThe Department of Health and Human Services shall provide funds for programs that assist eligible individuals, such as those who face barriers to employment. Such programs shall provide employment services, training, and related services.\n\nThe bill also establishes criteria for using such funds for various purposes, including subsidized jobs. The bill also establishes various reporting and application requirements for states seeking funds for such programs.\n\nThe bill establishes an assistance program for self-employed individuals who meet various requirements and whose most recent contracts ended through no fault of their own. Such individuals shall be entitled to a weekly benefit equal to half of the average weekly earnings from their last employment, not to exceed the maximum available for unemployment benefits. An individual may not concurrently receive unemployment compensation and self-employment assistance.\n\nDislocated workers and long-term unemployed individuals shall be entitled to assistance for moving to a new area to earn family-sustaining employment. Such assistance may cover up to 90% of reasonable expenses, subject to a cap of $2,000 for an individual.\n\nThe bill establishes the Office of Reemployment Assistance in the Social Security Administration to administer the self-employment and relocation assistance programs.\ncompany_name: Sturm, Ruger & Co., Inc.\ncompany_description: Overview Sturm, Ruger & Company, Inc. and Subsidiary (the \"Company\") is principally engaged in the design, manufacture, and sale of firearms to domestic customers. The Company's design and manufacturing operations are located in the United States and almost all product content is domestic. The Company primarily offers products in three industry product categories – rifles, pistols, and revolvers. The Company's firearms are sold through independent wholesale distributors, principally to the commercial sporting market. The Company manufactures and sells investment castings made from steel alloys and metal injection molding (\"MIM\") parts for internal use in the firearms segment and has minimal sales to outside customers. The Company presently manufacture
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{"example_id": 2367, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2367\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Social Security Act to establish a new employment, training, and supportive services program for the long-term unemployed and individuals with barriers to employment, and for other purposes.\nbill_summary: Economic Ladders to End Volatility and Advance Training and Employment Act of 2019 or the ELEVATE Act of 2019\n\nThis bill establishes a federal program to help fund (1) state- and tribe-run job-assistance programs, and (2) assistance for self-employed individuals and workers who relocate for employment opportunities.\n\nThe Department of Health and Human Services shall provide funds for programs that assist eligible individuals, such as those who face barriers to employment. Such programs shall provide employment services, training, and related services.\n\nThe bill also establishes criteria for using such funds for various purposes, including subsidized jobs. The bill also establishes various reporting and application requirements for states seeking funds for such programs.\n\nThe bill establishes an assistance program for self-employed individuals who meet various requirements and whose most recent contracts ended through no fault of their own. Such individuals shall be entitled to a weekly benefit equal to half of the average weekly earnings from their last employment, not to exceed the maximum available for unemployment benefits. An individual may not concurrently receive unemployment compensation and self-employment assistance.\n\nDislocated workers and long-term unemployed individuals shall be entitled to assistance for moving to a new area to earn family-sustaining employment. Such assistance may cover up to 90% of reasonable expenses, subject to a cap of $2,000 for an individual.\n\nThe bill establishes the Office of Reemployment Assistance in the Social Security Administration to administer the self-employment and relocation assistance programs.\ncompany_name: Sturm, Ruger & Co., Inc.\ncompany_description: Overview Sturm, Ruger & Company, Inc. and Subsidiary (the \"Company\") is principally engaged in the design, manufacture, and sale of firearms to domestic customers. The Company's design and manufacturing operations are located in the United States and almost all product content is domestic. The Company primarily offers products in three industry product categories – rifles, pistols, and revolvers. The Company's firearms are sold through independent wholesale distributors, principally to the commercial sporting market. The Company manufactures and sells investment castings made from steel alloys and metal injection molding (\"MIM\") parts for internal use in the firearms segment and has minimal sales to outside customers. The Company presently manufacture
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{"example_id": 890, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 890\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIndeed, Batson held that because the petitioner had timely objected to the prosecutor’s decision to strike “all black persons on the venire,” the trial court was in error when it “flatly rejected the objection without requiring the prosecutor to give an explanation for his action.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_890_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 890, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 890\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIndeed, Batson held that because the petitioner had timely objected to the prosecutor’s decision to strike “all black persons on the venire,” the trial court was in error when it “flatly rejected the objection without requiring the prosecutor to give an explanation for his action.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_890_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_890_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text discusses the Batson case.\",\n \"The petitioner timely objected to the prosecutor's decision to strike all black persons on the venire.\",\n \"The trial court flatly rejected the objection without requiring the prosecutor to give an explanation for his action.\",\n \"The text states that the trial court was in error.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classification into 'Yes' or 'No'.\",\n \"Whether the text is to be interpreted as a legal definition or something else.\"\n ],\n \"context_summary\": \"The text discusses the Batson case where the petitioner objected to the prosecutor's strike of all black venirepersons, and the trial court rejected the objection without requiring an explanation, which the text holds as erroneous.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_890_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 890, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 890\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIndeed, Batson held that because the petitioner had timely objected to the prosecutor’s decision to strike “all black persons on the venire,” the trial court was in error when it “flatly rejected the objection without requiring the prosecutor to give an explanation for his action.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_890_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_890_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text discusses the Batson case.\",\n \"The petitioner timely objected to the prosecutor's decision to strike all black persons on the venire.\",\n \"The trial court flatly rejected the objection without requiring the prosecutor to give an explanation for his action.\",\n \"The text states that the trial court was in error.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria for classification into 'Yes' or 'No'.\",\n \"Whether the text is to be interpreted as a legal definition or something else.\"\n ],\n \"context_summary\": \"The text discusses the Batson case where the petitioner objected to the prosecutor's strike of all black venirepersons, and the trial court rejected the objection without requiring an explanation, which the text holds as erroneous.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_890_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_890_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Petitioner timely objected to prosecutor's strike of all black persons on venire\",\n \"Trial court flatly rejected the objection without requiring explanation\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text describes a situation where a trial court erred in rejecting an objection without explanation\",\n \"Whether the text mentions a timely objection to a prosecutor's peremptory strike\"\n ],\n \"knowledge_slots\": [\n \"Batson v. Kentucky: court error for rejecting objection to peremptory strike without explanation\",\n \"Definition classification task: test if text matches a given legal definition\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the specific definition bein
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{"example_id": 2545, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2545\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 5. Passwords and Account Access. The member who created the Netflix account and whose Payment Method is charged (the \"Account Owner\") has access and control over the Netflix account and the Netflix ready devices that are used to access our service and is responsible for any activity that occurs through the Netflix account. To maintain control over the account and to prevent anyone from accessing the account (which would include information on viewing history for the account), the Account Owner should maintain control over the Netflix ready devices that are used to access the service and not reveal the password or details of the Payment Method associated with the account to anyone. You are responsible for updating and maintaining the accuracy of the information you provide to us relating to your account. We can terminate your account or place your account on hold in order to protect you, Netflix or our partners from identity theft or other fraudulent activity.\nquestion: Is the family member who pays for a familys Netflix account meant to not share the account password with anyone else?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2545_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 2545, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2545\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 5. Passwords and Account Access. The member who created the Netflix account and whose Payment Method is charged (the \"Account Owner\") has access and control over the Netflix account and the Netflix ready devices that are used to access our service and is responsible for any activity that occurs through the Netflix account. To maintain control over the account and to prevent anyone from accessing the account (which would include information on viewing history for the account), the Account Owner should maintain control over the Netflix ready devices that are used to access the service and not reveal the password or details of the Payment Method associated with the account to anyone. You are responsible for updating and maintaining the accuracy of the information you provide to us relating to your account. We can terminate your account or place your account on hold in order to protect you, Netflix or our partners from identity theft or other fraudulent activity.\nquestion: Is the family member who pays for a familys Netflix account meant to not share the account password with anyone else?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2545_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2545_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Account Owner Control: The Account Owner must maintain control over Netflix-ready devices and not reveal the password or Payment Method details to anyone.\",\n \"source\": \"Netflix Membership Agreement, Section 5: Passwords and Account Access\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The individual is designated as the Account Owner (i.e., the family member who created the account and whose payment method is charged).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The contract identifies the Account Owner as the member who created the account and whose Payment Method is charged.\"\n },\n {\n \"element\": \"The Account Owner is required to maintain control over the account password and Payment Method details.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The contract states: 'the Account Owner should ... not reveal the password or details of the Payment Method associated with the account to anyone.'\"\n },\n {\n \"element\": \"The Account Owner is responsible for updating and maintaining accurate information for the account
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{"example_id": 2545, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2545\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 5. Passwords and Account Access. The member who created the Netflix account and whose Payment Method is charged (the \"Account Owner\") has access and control over the Netflix account and the Netflix ready devices that are used to access our service and is responsible for any activity that occurs through the Netflix account. To maintain control over the account and to prevent anyone from accessing the account (which would include information on viewing history for the account), the Account Owner should maintain control over the Netflix ready devices that are used to access the service and not reveal the password or details of the Payment Method associated with the account to anyone. You are responsible for updating and maintaining the accuracy of the information you provide to us relating to your account. We can terminate your account or place your account on hold in order to protect you, Netflix or our partners from identity theft or other fraudulent activity.\nquestion: Is the family member who pays for a familys Netflix account meant to not share the account password with anyone else?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2545_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2545_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Account Owner Control: The Account Owner must maintain control over Netflix-ready devices and not reveal the password or Payment Method details to anyone.\",\n \"source\": \"Netflix Membership Agreement, Section 5: Passwords and Account Access\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The individual is designated as the Account Owner (i.e., the family member who created the account and whose payment method is charged).\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The contract identifies the Account Owner as the member who created the account and whose Payment Method is charged.\"\n },\n {\n \"element\": \"The Account Owner is required to maintain control over the account password and Payment Method details.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The contract states: 'the Account Owner should ... not reveal the password or details of the Payment Method associated with the account to anyone.'\"\n },\n {\n \"element\": \"The Account Owner is responsible for updating and maintaining accurate information for the account
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{"example_id": 954, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 954\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSection 1983 does not in general impose strict liability on all who come within its prohibitions; certain broad immunities are recognized.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_954_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 954, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 954\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSection 1983 does not in general impose strict liability on all who come within its prohibitions; certain broad immunities are recognized.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_954_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_954_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses Section 1983 and states it does not generally impose strict liability\",\n \"Text mentions certain broad immunities are recognized\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text aligns with a given definition's criteria\",\n \"Presence of statements that contradict strict liability imposition\"\n ],\n \"knowledge_slots\": [\n \"Section 1983 imposes liability on those who violate constitutional rights\",\n \"Text indicates immunities limit liability, so may not match a strict definition\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The definition requires a statement that is inconsistent with the text\"\n ],\n \"less_relevant_if\": [\n \"The definition is about strict liability and the text directly contradicts it\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The definition is about describing Section 1983's general principle\"\n ],\n \"less_relevant_if\": [\n \"The definition focuses on liability rules and the text modifies that\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition being classified is not provided\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 246, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 246\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn this context, “design” means purpose or plan; i.e., the intended aim of the transportation. See Am. Hert. 491 (“[t]o formulate a plan for; devise”; “[t]o create or contrive for a particular purpose or effect”); Black's 478 (“[a] plan or scheme”; “[p]urpose or intention combined with a plan”); see also Brief for United States 14 (“ ‘to conceive and plan out in the mind’ ” (quoting Webster's Third New International Dictionary 611 (1993))).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_246_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 246, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 246\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn this context, “design” means purpose or plan; i.e., the intended aim of the transportation. See Am. Hert. 491 (“[t]o formulate a plan for; devise”; “[t]o create or contrive for a particular purpose or effect”); Black's 478 (“[a] plan or scheme”; “[p]urpose or intention combined with a plan”); see also Brief for United States 14 (“ ‘to conceive and plan out in the mind’ ” (quoting Webster's Third New International Dictionary 611 (1993))).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_246_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_246_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides meanings for the word 'design' using multiple dictionaries\",\n \"Text includes phrases like 'means purpose or plan' and 'intended aim of the transportation'\",\n \"Cites American Heritage, Black's, and a Supreme Court brief\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states the meaning of a term\",\n \"Whether the text cites authoritative sources to define a term\",\n \"Whether the text is structured as a definition (e.g., 'X means Y')\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text that states the meaning of a term using credible sources is a definition\",\n \"Legal definitions often rely on dictionary quotes to establish precise meaning\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not directly state a meaning but instead uses the term in context\",\n \"The text is more about applying the term rather than defining it\"\n ],\n \"less_relevant_if\": [\n \"The text begins with 'means' and provides multiple sources for the term's definition\",\n \"The text explicitly says 'means purpose or plan'\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text starts by stating what a term means and supports it with references\",\n \"The text is structured as a formal definition (e.g., 'In this context, X means Y')\"\n ],\n \"less_relevant_if\": [\n \"The text uses the term without explaining its meaning\",\n \"The text is a discussion or argument that merely mentions the term\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_co
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{"example_id": 717, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 717\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis Court subsequently characterized the 1892 Act at issue in Seymour as an example of Congress’ using “clear language of express termination when that result is desired.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_717_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 717, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 717\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis Court subsequently characterized the 1892 Act at issue in Seymour as an example of Congress’ using “clear language of express termination when that result is desired.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_717_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_717_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text describes a court characterizing the 1892 Act as an example of Congress using 'clear language of express termination'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text exemplifies a specific legal definition (unknown here)\"),\n \"The presence of terms like 'clear language' and 'express termination' that might align with the definition\"\n ],\n \"knowledge_slots\": [\n \"Binary classification tasks require matching text to a definition; the definition is not provided.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the target definition due to lack of key elements\"\n ],\n \"less_relevant_if\": [\n \"The text shares some vocabulary with the definition but is unclear if it fits\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text accurately demonstrates the concept described in the definition\"\n ],\n \"less_relevant_if\": [\n \"The definition is ambiguous or the text is only peripherally related\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition the text is being classified against\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2223, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2223\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Children's Online Privacy Protection Act of 1998 to strengthen protections relating to the online collection, use, and disclosure of personal information of children and minors, and for other purposes.\nbill_summary: This bill extends to minors (ages 12–16) privacy protections previously applicable only to children (ages 0–12) and otherwise establishes greater online privacy protections for children and minors.\n\nSpecifically, the bill prohibits an operator of a website, online service, online application, or mobile application directed to a child or minor with constructive knowledge the user is a child or minor from collecting the user's personal information without\n\n providing notice and obtaining consent, providing a parent or minor with certain information upon request, conditioning participation by a user on the provision of personal information, establishing and maintaining reasonable procedures to protect the personal information collected from users. The bill also prohibits targeted marketing directed to a child or directed to a minor without the minor's consent.\n\nThe bill further outlines a set of principles governing how operators should collect and use personal information, as well as provide information to a parent or minor. A parent or minor must be able to challenge the accuracy of personal information, and an operator must provide for the erasure or correction of inaccurate personal information. Operators must also implement mechanisms for the erasure or elimination of personal information at the request of users and make users aware of such mechanisms.\n\nMoreover, the bill prohibits the sale of internet-connected devices targeted to children and minors unless they meet certain cybersecurity and data security standards, and it requires manufacturers of such devices to display a privacy dashboard detailing how personal information is collected and used.\ncompany_name: Ralph Lauren Corp.\ncompany_description: General Founded in 1967 by Mr. Ralph Lauren, we are a global leader in the design, marketing, and distribution of premium lifestyle products, including apparel, accessories, home furnishings, and other licensed product categories. Our long-standing reputation and distinctive image have been developed across an expanding number of products, brands, sales channels, and international markets. We believe that our global reach, breadth of product offerings, and multi-channel distribution are unique among luxury and apparel companies. Our wholesale sales are made principally to major department stores and specialty stores around the world. We also sell directly to consumers through our integrated retail channel, which includes our retail stores, concessi
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{"example_id": 2223, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2223\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Children's Online Privacy Protection Act of 1998 to strengthen protections relating to the online collection, use, and disclosure of personal information of children and minors, and for other purposes.\nbill_summary: This bill extends to minors (ages 12–16) privacy protections previously applicable only to children (ages 0–12) and otherwise establishes greater online privacy protections for children and minors.\n\nSpecifically, the bill prohibits an operator of a website, online service, online application, or mobile application directed to a child or minor with constructive knowledge the user is a child or minor from collecting the user's personal information without\n\n providing notice and obtaining consent, providing a parent or minor with certain information upon request, conditioning participation by a user on the provision of personal information, establishing and maintaining reasonable procedures to protect the personal information collected from users. The bill also prohibits targeted marketing directed to a child or directed to a minor without the minor's consent.\n\nThe bill further outlines a set of principles governing how operators should collect and use personal information, as well as provide information to a parent or minor. A parent or minor must be able to challenge the accuracy of personal information, and an operator must provide for the erasure or correction of inaccurate personal information. Operators must also implement mechanisms for the erasure or elimination of personal information at the request of users and make users aware of such mechanisms.\n\nMoreover, the bill prohibits the sale of internet-connected devices targeted to children and minors unless they meet certain cybersecurity and data security standards, and it requires manufacturers of such devices to display a privacy dashboard detailing how personal information is collected and used.\ncompany_name: Ralph Lauren Corp.\ncompany_description: General Founded in 1967 by Mr. Ralph Lauren, we are a global leader in the design, marketing, and distribution of premium lifestyle products, including apparel, accessories, home furnishings, and other licensed product categories. Our long-standing reputation and distinctive image have been developed across an expanding number of products, brands, sales channels, and international markets. We believe that our global reach, breadth of product offerings, and multi-channel distribution are unique among luxury and apparel companies. Our wholesale sales are made principally to major department stores and specialty stores around the world. We also sell directly to consumers through our integrated retail channel, which includes our retail stores, concessi
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{"example_id": 2223, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2223\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the Children's Online Privacy Protection Act of 1998 to strengthen protections relating to the online collection, use, and disclosure of personal information of children and minors, and for other purposes.\nbill_summary: This bill extends to minors (ages 12–16) privacy protections previously applicable only to children (ages 0–12) and otherwise establishes greater online privacy protections for children and minors.\n\nSpecifically, the bill prohibits an operator of a website, online service, online application, or mobile application directed to a child or minor with constructive knowledge the user is a child or minor from collecting the user's personal information without\n\n providing notice and obtaining consent, providing a parent or minor with certain information upon request, conditioning participation by a user on the provision of personal information, establishing and maintaining reasonable procedures to protect the personal information collected from users. The bill also prohibits targeted marketing directed to a child or directed to a minor without the minor's consent.\n\nThe bill further outlines a set of principles governing how operators should collect and use personal information, as well as provide information to a parent or minor. A parent or minor must be able to challenge the accuracy of personal information, and an operator must provide for the erasure or correction of inaccurate personal information. Operators must also implement mechanisms for the erasure or elimination of personal information at the request of users and make users aware of such mechanisms.\n\nMoreover, the bill prohibits the sale of internet-connected devices targeted to children and minors unless they meet certain cybersecurity and data security standards, and it requires manufacturers of such devices to display a privacy dashboard detailing how personal information is collected and used.\ncompany_name: Ralph Lauren Corp.\ncompany_description: General Founded in 1967 by Mr. Ralph Lauren, we are a global leader in the design, marketing, and distribution of premium lifestyle products, including apparel, accessories, home furnishings, and other licensed product categories. Our long-standing reputation and distinctive image have been developed across an expanding number of products, brands, sales channels, and international markets. We believe that our global reach, breadth of product offerings, and multi-channel distribution are unique among luxury and apparel companies. Our wholesale sales are made principally to major department stores and specialty stores around the world. We also sell directly to consumers through our integrated retail channel, which includes our retail stores, concessi
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{"example_id": 273, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 273\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The two linguistic forms ('cognizable by'; 'has jurisdiction') mean about the same thing. See Black's Law Dictionary 991 (4th ed.1951) (defining 'jurisdiction' as 'the authority by which courts and judicial officers take cognizance of and decide cases' (emphasis added)); see also Black's Law Dictionary 1038 (3d ed.1933) (similarly using the term 'cognizance' to define 'jurisdiction').\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_273_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 273, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 273\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The two linguistic forms ('cognizable by'; 'has jurisdiction') mean about the same thing. See Black's Law Dictionary 991 (4th ed.1951) (defining 'jurisdiction' as 'the authority by which courts and judicial officers take cognizance of and decide cases' (emphasis added)); see also Black's Law Dictionary 1038 (3d ed.1933) (similarly using the term 'cognizance' to define 'jurisdiction').\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_273_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_273_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification criterion: A text is classified as a definition if it explicitly states the meaning of a term or terms.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text provides an explicit definition of a term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'the two linguistic forms mean about the same thing' and provides dictionary definitions for 'jurisdiction' and 'cognizance', directly explaining their meanings.\"\n }\n ],\n \"conclusion_logic\": \"If the text explicitly defines one or more terms (e.g., by quoting a dictionary definition or stating their equivalence), then it satisfies the definition criterion; otherwise it does not.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_273_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 273, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 273\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The two linguistic forms ('cognizable by'; 'has jurisdiction') mean about the same thing. See Black's Law Dictionary 991 (4th ed.1951) (defining 'jurisdiction' as 'the authority by which courts and judicial officers take cognizance of and decide cases' (emphasis added)); see also Black's Law Dictionary 1038 (3d ed.1933) (similarly using the term 'cognizance' to define 'jurisdiction').\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_273_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_273_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification criterion: A text is classified as a definition if it explicitly states the meaning of a term or terms.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text provides an explicit definition of a term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'the two linguistic forms mean about the same thing' and provides dictionary definitions for 'jurisdiction' and 'cognizance', directly explaining their meanings.\"\n }\n ],\n \"conclusion_logic\": \"If the text explicitly defines one or more terms (e.g., by quoting a dictionary definition or stating their equivalence), then it satisfies the definition criterion; otherwise it does not.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_273_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_273_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text compares 'cognizable by' and 'has jurisdiction', claiming they mean the same\",\n \"Text cites Black's Law Dictionary definitions for 'jurisdiction' and 'cognizance'\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text itself is an instance of the definition being classified\",\n \"Whether the text's primary purpose is to define a term or to use definitions for another purpose\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks ask if the text is a definition of a given term\",\n \"Legal definitions often explain terms of art\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"T
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{"example_id": 2598, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2598\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Governing Law; Dispute Resolution\nYou agree that all matters relating to your access to or use of the Site, including all disputes, will be governed by the laws of the United States and by the laws of the State of California without regard to its conflicts of laws provisions. You agree to the personal jurisdiction by and venue in the state and federal courts in Santa Clara County, California, and waive any objection to such jurisdiction or venue. The preceding provision regarding venue does not apply if you are a consumer based in the European Union. If you are a consumer based in the European Union, you may make a claim in the courts of the country where you reside. Any claim under these Terms of Use must be brought within one (1) year after the cause of action arises, or such claim or cause of action is barred. Claims made under the separate terms and conditions of purchase for goods and services are not subject to this limitation. No recovery may be sought or received for damages other than out-of-pocket expenses, except that the prevailing party will be entitled to costs and attorneys fees. In the event of any controversy or dispute between Apple and you arising out of or in connection with your use of the Site, the parties shall attempt, promptly and in good faith, to resolve any such dispute. If we are unable to resolve any such dispute within a reasonable time (not to exceed thirty (30) days), then either party may submit such controversy or dispute to mediation. If the dispute cannot be resolved through mediation, then the parties shall be free to pursue any right or remedy available to them under applicable law.\nquestion: Are there different rules for Americans and Europeans regarding where they can sue Apple?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2598_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2598, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2598\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Governing Law; Dispute Resolution\nYou agree that all matters relating to your access to or use of the Site, including all disputes, will be governed by the laws of the United States and by the laws of the State of California without regard to its conflicts of laws provisions. You agree to the personal jurisdiction by and venue in the state and federal courts in Santa Clara County, California, and waive any objection to such jurisdiction or venue. The preceding provision regarding venue does not apply if you are a consumer based in the European Union. If you are a consumer based in the European Union, you may make a claim in the courts of the country where you reside. Any claim under these Terms of Use must be brought within one (1) year after the cause of action arises, or such claim or cause of action is barred. Claims made under the separate terms and conditions of purchase for goods and services are not subject to this limitation. No recovery may be sought or received for damages other than out-of-pocket expenses, except that the prevailing party will be entitled to costs and attorneys fees. In the event of any controversy or dispute between Apple and you arising out of or in connection with your use of the Site, the parties shall attempt, promptly and in good faith, to resolve any such dispute. If we are unable to resolve any such dispute within a reasonable time (not to exceed thirty (30) days), then either party may submit such controversy or dispute to mediation. If the dispute cannot be resolved through mediation, then the parties shall be free to pursue any right or remedy available to them under applicable law.\nquestion: Are there different rules for Americans and Europeans regarding where they can sue Apple?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2598_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2598_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Venue clause specifies Santa Clara County, California courts, except for EU consumers who may sue in their residence country.\",\n \"Question asks if there are different rules for Americans and Europeans regarding where they can sue Apple.\"\n ],\n \"task_type\": \"legal_interpretation\",\n \"decision_factors\": [\n \"Whether the contract explicitly sets different venue rules for EU consumers compared to other consumers.\",\n \"Whether the term 'consumer based in the European Un
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{"example_id": 1578, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1578\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 65\nParagraph: At sentencing, the district court concluded that Hurley “st[ood] a little higher in the pecking order than some of the other defendants.”7 The court found that Hurley “pretty much ran [Saccoccia Coin] and [ ] had a closer relationship with the true leader of th[e] organization, Stephen Saccoccia, than others did,” which the court speculated was an “unfortunate incident of marriage,” referring to the fact that Hurley is Stephen's brother-in-law. The court emphasized Hurley's lengthy participation in the conspiracy and concluded that he was “involved in more facets of th[e] organization” than his codefendants, because he “went to New York on several occasions, both to count money and help pick it up. [He was] not just a courier like some of the other defendants were.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1578_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1578, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1578\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 65\nParagraph: At sentencing, the district court concluded that Hurley “st[ood] a little higher in the pecking order than some of the other defendants.”7 The court found that Hurley “pretty much ran [Saccoccia Coin] and [ ] had a closer relationship with the true leader of th[e] organization, Stephen Saccoccia, than others did,” which the court speculated was an “unfortunate incident of marriage,” referring to the fact that Hurley is Stephen's brother-in-law. The court emphasized Hurley's lengthy participation in the conspiracy and concluded that he was “involved in more facets of th[e] organization” than his codefendants, because he “went to New York on several occasions, both to count money and help pick it up. [He was] not just a courier like some of the other defendants were.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1578_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1578_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Hurley stood higher in pecking order than other defendants at sentencing.\",\n \"Hurley ran Saccoccia Coin and had closer relationship with Stephen Saccoccia than others.\",\n \"Hurley's lengthy participation and involvement in more facets of the organization.\",\n \"Hurley went to New York multiple times for counting money and picking up cash.\",\n \"Hurley is Stephen Saccoccia's brother-in-law.\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Does the text describe reasoning and evaluation of a defendant's role?\",\n \"Does the text state a final determination or outcome?\",\n \"Does the text contain a formal order or command?\",\n \"Does the text recite factual events without legal analysis?\",\n \"Does the text pose a legal question or issue?\",\n \"Does the text describe prior court proceedings or procedural steps?\",\n \"Does the text state a legal rule or standard?\"\n ],\n \"knowledge_slots\": [\n \"Analysis section contains court's reasoning and evaluation of facts.\",\n \"Conclusion section states the final decision or sentence.\",\n \"Decree section contains a formal order or directive.\",\n \"Facts section recites objective factual events without legal j
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{"example_id": 150, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 150\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term “plaintiff” is among the most commonly understood of legal terms of art: It means a “party who brings a civil suit in a court of law.” Black's Law Dictionary 1267 (9th ed. 2009) see also Webster's Third New International Dictionary 1729 (1961)\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_150_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 150, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 150\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term “plaintiff” is among the most commonly understood of legal terms of art: It means a “party who brings a civil suit in a court of law.” Black's Law Dictionary 1267 (9th ed. 2009) see also Webster's Third New International Dictionary 1729 (1961)\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_150_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_150_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines the term 'plaintiff' using dictionary citations\",\n \"Text states plaintiff is a party who brings a civil suit\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a specific term\",\n \"Whether the text cites authoritative legal sources\",\n \"Whether the text is structured as an explanation of a concept\"\n ],\n \"knowledge_slots\": [\n \"Definition in legal contexts often cites Black's Law Dictionary or similar\",\n \"A definition typically states the meaning of a term and may include usage notes\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not clearly define a term or is ambiguous in meaning\",\n \"The text is a statement about a concept but lacks definition structure\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly defines a term with sources, matching definition profiles\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text explicitly states the meaning of a legal term and references dictionaries\",\n \"The text is structured as a definition (e.g., 'The term X means Y') with supporting citations\"\n ],\n \"less_relevant_if\": [\n \"The text is descriptive but does not provide a formal definition of a term\",\n \"The text discusses usage without defining a specific term\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 173, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 173\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"But like the majority, I reject T–Mobile's contention that the term “decision” inherently demands a statement of reasons. Dictionary definitions support that conclusion.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_173_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 173, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 173\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"But like the majority, I reject T–Mobile's contention that the term “decision” inherently demands a statement of reasons. Dictionary definitions support that conclusion.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_173_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_173_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from a legal opinion and begins with 'But like the majority'.\",\n \"The text rejects a contention that the term 'decision' inherently demands a statement of reasons.\",\n \"The text states that dictionary definitions support the rejection of that contention.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria being applied is not provided.\",\n \"The context of the legal case or the definition to be classified is unknown.\"\n ],\n \"context_summary\": \"A legal text rejects the idea that 'decision' inherently requires a statement of reasons, citing dictionary definitions. The task is to classify this text as 'Yes' or 'No' under a definition classification.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_173_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 173, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 173\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"But like the majority, I reject T–Mobile's contention that the term “decision” inherently demands a statement of reasons. Dictionary definitions support that conclusion.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_173_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_173_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from a legal opinion and begins with 'But like the majority'.\",\n \"The text rejects a contention that the term 'decision' inherently demands a statement of reasons.\",\n \"The text states that dictionary definitions support the rejection of that contention.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria being applied is not provided.\",\n \"The context of the legal case or the definition to be classified is unknown.\"\n ],\n \"context_summary\": \"A legal text rejects the idea that 'decision' inherently requires a statement of reasons, citing dictionary definitions. The task is to classify this text as 'Yes' or 'No' under a definition classification.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_173_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_173_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal quote rejecting argument that 'decision' inherently demands statement of reasons\",\n \"Text references dictionary definitions supporting rejection of that contentions\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text itself is a statement that aligns with the definition being classified\",\n \"Whether the text provides support for or against the proposition being classified\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks ask whether a given text exemplifies a specific definition\",\n \"Legal context: debate over whether 'decision' inherently requires statement of reasons\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is contrary to the definition being classified\",\n \"The text rejects the proposition associated with the definition\"\n ],\n \"less_relevant_if\": [\n \"The text supports or exemplifies the definition\"\n
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{"example_id": 2149, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2149\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To require the President to develop a strategy to ensure the security of next generation mobile telecommunications systems and infrastructure in the United States and to assist allies and strategic partners in maximizing the security of next generation mobile telecommunications systems, infrastructure, and software, and for other purposes.\nbill_summary: Secure 5G and Beyond Act of 2020\n\nThis bill requires the President, in consultation with relevant federal agencies, to develop (1) a strategy to secure and protect U.S. fifth and future generations (5G) systems and infrastructure, and (2) an implementation plan for the strategy.\n\nSuch strategy shall (1) ensure the security of 5G wireless communications systems and infrastructure within the United States; (2) assist mutual defense treaty allies, strategic partners, and other countries in maximizing the security of 5G systems and infrastructure; and (3) protect the competitiveness of U.S. companies, the privacy of U.S. consumers, and the impartiality of standards-setting bodies.\ncompany_name: ADTRAN, Inc.\ncompany_description: BUSINESS Overview ADTRAN is a leading global provider of networking and communications equipment, serving a diverse domestic and international customer base in 68 countries that includes Tier 1, 2 and 3 service providers, cable/MSOs and distributed enterprises. Our innovative solutions and services enable voice, data, video and internet communications across a variety of network infrastructures and are currently in use by millions of users worldwide. Our success depends upon our ability to increase unit volume and market share through the introduction of new products and succeeding generations of products having lower selling prices and increased functionality as compared to both the prior generation of a product and to the products of competitors. In order to service our customers and build revenue, we are constantly conducting research and development of new products addressing customer needs and testing those products for the particular specifications of the particular customers. In addition to our corporate headquarters in Huntsville, Alabama, we have research and development (R & D) facilities in strategic global locations. We are focused on being a top global supplier of access infrastructure and related value-added solutions from the cloud edge to the subscriber edge. We offer a broad portfolio of flexible software and hardware network solutions and services that enable service providers to meet today's service demands, while enabling them to transition to the fully converged, scalable, highly automated, cloud-controlled voice, data, internet and video network of the future. Our business operates under two repor
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{"example_id": 2149, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2149\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To require the President to develop a strategy to ensure the security of next generation mobile telecommunications systems and infrastructure in the United States and to assist allies and strategic partners in maximizing the security of next generation mobile telecommunications systems, infrastructure, and software, and for other purposes.\nbill_summary: Secure 5G and Beyond Act of 2020\n\nThis bill requires the President, in consultation with relevant federal agencies, to develop (1) a strategy to secure and protect U.S. fifth and future generations (5G) systems and infrastructure, and (2) an implementation plan for the strategy.\n\nSuch strategy shall (1) ensure the security of 5G wireless communications systems and infrastructure within the United States; (2) assist mutual defense treaty allies, strategic partners, and other countries in maximizing the security of 5G systems and infrastructure; and (3) protect the competitiveness of U.S. companies, the privacy of U.S. consumers, and the impartiality of standards-setting bodies.\ncompany_name: ADTRAN, Inc.\ncompany_description: BUSINESS Overview ADTRAN is a leading global provider of networking and communications equipment, serving a diverse domestic and international customer base in 68 countries that includes Tier 1, 2 and 3 service providers, cable/MSOs and distributed enterprises. Our innovative solutions and services enable voice, data, video and internet communications across a variety of network infrastructures and are currently in use by millions of users worldwide. Our success depends upon our ability to increase unit volume and market share through the introduction of new products and succeeding generations of products having lower selling prices and increased functionality as compared to both the prior generation of a product and to the products of competitors. In order to service our customers and build revenue, we are constantly conducting research and development of new products addressing customer needs and testing those products for the particular specifications of the particular customers. In addition to our corporate headquarters in Huntsville, Alabama, we have research and development (R & D) facilities in strategic global locations. We are focused on being a top global supplier of access infrastructure and related value-added solutions from the cloud edge to the subscriber edge. We offer a broad portfolio of flexible software and hardware network solutions and services that enable service providers to meet today's service demands, while enabling them to transition to the fully converged, scalable, highly automated, cloud-controlled voice, data, internet and video network of the future. Our business operates under two repor
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{"example_id": 2149, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2149\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To require the President to develop a strategy to ensure the security of next generation mobile telecommunications systems and infrastructure in the United States and to assist allies and strategic partners in maximizing the security of next generation mobile telecommunications systems, infrastructure, and software, and for other purposes.\nbill_summary: Secure 5G and Beyond Act of 2020\n\nThis bill requires the President, in consultation with relevant federal agencies, to develop (1) a strategy to secure and protect U.S. fifth and future generations (5G) systems and infrastructure, and (2) an implementation plan for the strategy.\n\nSuch strategy shall (1) ensure the security of 5G wireless communications systems and infrastructure within the United States; (2) assist mutual defense treaty allies, strategic partners, and other countries in maximizing the security of 5G systems and infrastructure; and (3) protect the competitiveness of U.S. companies, the privacy of U.S. consumers, and the impartiality of standards-setting bodies.\ncompany_name: ADTRAN, Inc.\ncompany_description: BUSINESS Overview ADTRAN is a leading global provider of networking and communications equipment, serving a diverse domestic and international customer base in 68 countries that includes Tier 1, 2 and 3 service providers, cable/MSOs and distributed enterprises. Our innovative solutions and services enable voice, data, video and internet communications across a variety of network infrastructures and are currently in use by millions of users worldwide. Our success depends upon our ability to increase unit volume and market share through the introduction of new products and succeeding generations of products having lower selling prices and increased functionality as compared to both the prior generation of a product and to the products of competitors. In order to service our customers and build revenue, we are constantly conducting research and development of new products addressing customer needs and testing those products for the particular specifications of the particular customers. In addition to our corporate headquarters in Huntsville, Alabama, we have research and development (R & D) facilities in strategic global locations. We are focused on being a top global supplier of access infrastructure and related value-added solutions from the cloud edge to the subscriber edge. We offer a broad portfolio of flexible software and hardware network solutions and services that enable service providers to meet today's service demands, while enabling them to transition to the fully converged, scalable, highly automated, cloud-controlled voice, data, internet and video network of the future. Our business operates under two repor
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{"example_id": 2817, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2817\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Content Removal and Disabling or Terminating Your Account\n\nWe can remove any content or information you share on the Service if we believe that it violates these Terms of Use, our policies (including our Instagram Community Guidelines), or we are permitted or required to do so by law. We can refuse to provide or stop providing all or part of the Service to you (including terminating or disabling your your access to the Facebook Products and Facebook Company Products) immediately to protect our community or services, or if you create risk or legal exposure for us, violate these Terms of Use or our policies (including our Instagram Community Guidelines), if you repeatedly infringe other people's intellectual property rights, or where we are permitted or required to do so by law. We can also terminate or change the Service, remove or block content or information shared on our Service, or stop providing all or part of the Service if we determine that doing so is reasonably necessary to avoid or mitigate adverse legal or regulatory impacts on us. If you believe your account has been terminated in error, or you want to disable or permanently delete your account, consult our Help Center.When you request to delete content or your account, the deletion process will automatically begin no more than 30 days after your request. It may take up to 90 days to delete content after the deletion process begins. While the deletion process for such content is being undertaken, the content is no longer visible to other users, but remains subject to these Terms of Use and our Data Policy. After the content is deleted, it may take us up to another 90 days to remove it from backups and disaster recovery systems.\n\nContent will not be deleted within 90 days of the account deletion or content deletion process beginning in the following situations:\n\nwhere your content has been used by others in accordance with this license and they have not deleted it (in which case this license will continue to apply until that content is deleted); or\n\nwhere deletion within 90 days is not possible due to technical limitations of our systems, in which case, we will complete the deletion as soon as technically feasible; or\n\nwhere deletion would restrict our ability to:\ninvestigate or identify illegal activity or violations of our terms and policies (for example, to identify or investigate misuse of our products or systems);\nprotect the safety and security of our products, systems, and users;\ncomply with a legal obligation, such as the preservation of evidence; or\ncomply with a request of a judicial or administrative authority, law enforcement or a government agency;\nin which case, the content will be retained for no longer th
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{"example_id": 2817, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2817\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Content Removal and Disabling or Terminating Your Account\n\nWe can remove any content or information you share on the Service if we believe that it violates these Terms of Use, our policies (including our Instagram Community Guidelines), or we are permitted or required to do so by law. We can refuse to provide or stop providing all or part of the Service to you (including terminating or disabling your your access to the Facebook Products and Facebook Company Products) immediately to protect our community or services, or if you create risk or legal exposure for us, violate these Terms of Use or our policies (including our Instagram Community Guidelines), if you repeatedly infringe other people's intellectual property rights, or where we are permitted or required to do so by law. We can also terminate or change the Service, remove or block content or information shared on our Service, or stop providing all or part of the Service if we determine that doing so is reasonably necessary to avoid or mitigate adverse legal or regulatory impacts on us. If you believe your account has been terminated in error, or you want to disable or permanently delete your account, consult our Help Center.When you request to delete content or your account, the deletion process will automatically begin no more than 30 days after your request. It may take up to 90 days to delete content after the deletion process begins. While the deletion process for such content is being undertaken, the content is no longer visible to other users, but remains subject to these Terms of Use and our Data Policy. After the content is deleted, it may take us up to another 90 days to remove it from backups and disaster recovery systems.\n\nContent will not be deleted within 90 days of the account deletion or content deletion process beginning in the following situations:\n\nwhere your content has been used by others in accordance with this license and they have not deleted it (in which case this license will continue to apply until that content is deleted); or\n\nwhere deletion within 90 days is not possible due to technical limitations of our systems, in which case, we will complete the deletion as soon as technically feasible; or\n\nwhere deletion would restrict our ability to:\ninvestigate or identify illegal activity or violations of our terms and policies (for example, to identify or investigate misuse of our products or systems);\nprotect the safety and security of our products, systems, and users;\ncomply with a legal obligation, such as the preservation of evidence; or\ncomply with a request of a judicial or administrative authority, law enforcement or a government agency;\nin which case, the content will be retained for no longer th
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{"example_id": 2131, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2131\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the National Institute of Standards and Technology Act to improve the Network for Manufacturing Innovation Program, and for other purposes.\nbill_summary: Global Leadership in Advanced Manufacturing Act of 2019\n\nThis bill expands the scope of the Network for Manufacturing Innovation program, makes changes to the funding design for the centers for manufacturing innovation, and directs interagency collaboration to develop national certifications for advanced manufacturing workforce skills.\n\nThe Network for Manufacturing Innovation program established a nationwide network of centers for manufacturing innovation, each of which has a unique technological concentration. The bill expands the definition of a center for manufacturing innovation to make eligible for inclusion in the program a center that has a predominant focus on innovative sectors (e.g., food manufacturing, superconductors, and quantum information science).\n\nThe bill also strikes provisions that progressively decrease the amount of financial assistance provided to a center over a term of years and subsequently cut the center's funding entirely after seven years, replacing them with a continuing five-year, metrics-based review of a center. Additionally, the bill directs the Department of Commerce to collaborate with relevant federal departments and agencies when awarding financial assistance.\n\nThe bill also authorizes Commerce to collaborate with stakeholders for the development of national certifications for advanced manufacturing workforce skills in the respective technology area of each center.\ncompany_name: Groupon, Inc.\ncompany_description: BUSINESS Groupon is a global leader in local commerce, making it easy for people around the world to search and discover great businesses and merchandise. Our vision is to connect local commerce, increasing consumer buying power while driving more business to merchants through price and discovery. We want Groupon to be the destination that consumers check first when they are out and about; the place they start when they are looking to buy just about anything, anywhere, anytime. We provide consumers with savings and help them discover what to do, eat, see, buy and where to travel. By bringing the brick and mortar world of local commerce onto the Internet, Groupon is helping local merchants to attract customers and sell goods and services. Groupon operates online local commerce marketplaces throughout the world that connect merchants to consumers by offering goods and services, generally at a discount. Consumers access those marketplaces through our websites, primarily localized groupon.com sites in many countries, and our mobile applications. Our operations are organized
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{"example_id": 2131, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2131\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend the National Institute of Standards and Technology Act to improve the Network for Manufacturing Innovation Program, and for other purposes.\nbill_summary: Global Leadership in Advanced Manufacturing Act of 2019\n\nThis bill expands the scope of the Network for Manufacturing Innovation program, makes changes to the funding design for the centers for manufacturing innovation, and directs interagency collaboration to develop national certifications for advanced manufacturing workforce skills.\n\nThe Network for Manufacturing Innovation program established a nationwide network of centers for manufacturing innovation, each of which has a unique technological concentration. The bill expands the definition of a center for manufacturing innovation to make eligible for inclusion in the program a center that has a predominant focus on innovative sectors (e.g., food manufacturing, superconductors, and quantum information science).\n\nThe bill also strikes provisions that progressively decrease the amount of financial assistance provided to a center over a term of years and subsequently cut the center's funding entirely after seven years, replacing them with a continuing five-year, metrics-based review of a center. Additionally, the bill directs the Department of Commerce to collaborate with relevant federal departments and agencies when awarding financial assistance.\n\nThe bill also authorizes Commerce to collaborate with stakeholders for the development of national certifications for advanced manufacturing workforce skills in the respective technology area of each center.\ncompany_name: Groupon, Inc.\ncompany_description: BUSINESS Groupon is a global leader in local commerce, making it easy for people around the world to search and discover great businesses and merchandise. Our vision is to connect local commerce, increasing consumer buying power while driving more business to merchants through price and discovery. We want Groupon to be the destination that consumers check first when they are out and about; the place they start when they are looking to buy just about anything, anywhere, anytime. We provide consumers with savings and help them discover what to do, eat, see, buy and where to travel. By bringing the brick and mortar world of local commerce onto the Internet, Groupon is helping local merchants to attract customers and sell goods and services. Groupon operates online local commerce marketplaces throughout the world that connect merchants to consumers by offering goods and services, generally at a discount. Consumers access those marketplaces through our websites, primarily localized groupon.com sites in many countries, and our mobile applications. Our operations are organized
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{"example_id": 934, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 934\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nMackey v. Lanier Collection Agency & Service, Inc., 486 U. S. 825 (1988).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_934_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 934, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 934\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nMackey v. Lanier Collection Agency & Service, Inc., 486 U. S. 825 (1988).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_934_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_934_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal citation: 'Mackey v. Lanier Collection Agency & Service, Inc., 486 U. S. 825 (1988)'\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches a given definition for a legal case citation\",\n \"Presence of required components: case name, volume, reporter, court, year\"\n ],\n \"knowledge_slots\": [\n \"Legal citations typically include plaintiff v. defendant, volume, reporter, supreme court, year\",\n \"Definition_classification tasks check if a text exemplifies a specific definition\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not satisfy the definition being tested\",\n \"Missing or incorrectly formatted components of a legal citation\"\n ],\n \"less_relevant_if\": [\n \"The text perfectly matches the definition\",\n \"All required elements are present and correctly formatted\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text satisfies the definition being tested\",\n \"Complete and correct format: plaintiff, defendant, volume, reporter, court, year\"\n ],\n \"less_relevant_if\": [\n \"The text lacks required elements or has formatting errors\",\n \"Does not match the definition criteria\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition that the text is being classified against\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1840, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1840\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal pursuant to subsection 103(1) of the Employment Insurance Act (the Act) is dismissed and the ruling of the Minister of National Revenue (the Minister) on the appeal made to the Appellant under section 91 of the Act is confirmed.\nThe appeal pursuant to section 28 of the Canada Pension Plan (the Plan) is dismissed and the ruling of the Minister on the appeal made to the Appellant under section 27 of the Plan is confirmed.\nSigned at Ottawa, Canada, this 13th day of September 2013.\nR.S. Bocock\nBocock J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1840_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1840, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1840\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal pursuant to subsection 103(1) of the Employment Insurance Act (the Act) is dismissed and the ruling of the Minister of National Revenue (the Minister) on the appeal made to the Appellant under section 91 of the Act is confirmed.\nThe appeal pursuant to section 28 of the Canada Pension Plan (the Plan) is dismissed and the ruling of the Minister on the appeal made to the Appellant under section 27 of the Plan is confirmed.\nSigned at Ottawa, Canada, this 13th day of September 2013.\nR.S. Bocock\nBocock J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1840_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1840_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal pursuant to subsection 103(1) of the Employment Insurance Act is dismissed.\",\n \"The ruling of the Minister of National Revenue on the appeal under section 91 of the Employment Insurance Act is confirmed.\",\n \"The appeal pursuant to section 28 of the Canada Pension Plan is dismissed.\",\n \"The ruling of the Minister on the appeal under section 27 of the Canada Pension Plan is confirmed.\",\n \"The decision was signed on September 13, 2013, by Justice R.S. Bocock.\"\n ],\n \"missing_info\": [\n \"The specific procedural history or factual background of the case.\",\n \"The legal criteria for 'allowed' versus 'dismissed' in this context beyond the text.\"\n ],\n \"context_summary\": \"A Canadian tax court decision dismissing two appeals (under Employment Insurance Act and Canada Pension Plan) and confirming the Minister's rulings, signed by Justice Bocock on September 13, 2013.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1840_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1840, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1840\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal pursuant to subsection 103(1) of the Employment Insurance Act (the Act) is dismissed and the ruling of the Minister of National Revenue (the Minister) on the appeal made to the Appellant under section 91 of the Act is confirmed.\nThe appeal pursuant to section 28 of the Canada Pension Plan (the Plan) is dismissed and the ruling of the Minister on the appeal made to the Appellant under section 27 of the Plan is confirmed.\nSigned at Ottawa, Canada, this 13th day of September 2013.\nR.S. Bocock\nBocock J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1840_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1840_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal pursuant to subsection 103(1) of the Employment Insurance Act is dismissed.\",\n \"The ruling of the Minister of National Revenue on the appeal under section 91 of the Employment Insurance Act is confirmed.\",\n \"The appeal pursuant to section 28 of the Canada Pension Plan is dismissed.\",\n \"The ruling of the Minister on the appeal under section 27 of the Canada Pension Plan is confirmed.\",\n \"The decision was signed on September 13, 2013, by Justice R.S. Bocock.\"\n ],\n \"missing_info\": [\n \"The specific procedural history or factual background of the case.\",\n \"The legal criteria for 'allowed' versus 'dismissed' in this context beyond the text.\"\n ],\n \"context_summary\": \"A Canadian tax court decision dismissing two appeals (under Employment Insurance Act and Canada Pension Plan) and confirming the Minister's rulings, signed by Justice Bocock on September 13, 2013.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1840_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1840_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text dismisses both an appeal under the Employment Insurance Act and an appeal under the Canada Pension Plan.\",\n \"Ruling confirms the Minister's decision in both cases.\",\n \"Signed by Judge Bocock on September 13, 2013.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Whether the text uses language of dismissal or allowance for the appeals.\",\n \"Whether the appeals are explicitly dismis
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{"example_id": 257, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 257\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTomlin says that 'the word conspiracy was formerly used almost exclusively for an agreement of two or more persons falsely to indict one, or to procure him to be indicted, of felony;' but that 'now it is no less commonly used for the unlawful combinations of journeymen to raise their wages, or to refuse working, except on certain stipulated conditions.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_257_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 257, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 257\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTomlin says that 'the word conspiracy was formerly used almost exclusively for an agreement of two or more persons falsely to indict one, or to procure him to be indicted, of felony;' but that 'now it is no less commonly used for the unlawful combinations of journeymen to raise their wages, or to refuse working, except on certain stipulated conditions.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_257_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_257_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: a text is a definition if it explicitly states the meaning of a term, typically in a declarative manner that separates the term from its explanation.\",\n \"source\": \"Common linguistic classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a term-behavior pairing (e.g., 'X is used for Y')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'the word conspiracy was formerly used almost exclusively for an agreement of two or more persons falsely to indict one, or to procure him to be indicted, of felony' and later for 'unlawful combinations of journeymen to raise their wages, or to refuse working.'\"\n },\n {\n \"element\": \"Text uses a definitional verb such as 'means', 'is', 'was used for'\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text uses 'was formerly used almost exclusively for' and 'is no less commonly used for' which are definitional phrases.\"\n },\n {\n \"element\": \"Text distinguishes between past and present meanings\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly contrasts past and present usage with 'formerly' and 'now'.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains a term, a definitional verb, and a description of usage (including potential historical context), then it should be classified as a definition. The presence of these elements satisfies the criteria for a definitional statement. The text meets all three elements, indicating it is a definition.\",\n \"uncertainty_notes\": [\n \"The text is a historical observation about a term's usage, which some might consider a definition and others as a description. However, the explicit framing of usage as 'used for' fits the definitional pattern.\"\n ],\n \"confidence\": 0.9\n}"}], "
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{"example_id": 257, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 257\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTomlin says that 'the word conspiracy was formerly used almost exclusively for an agreement of two or more persons falsely to indict one, or to procure him to be indicted, of felony;' but that 'now it is no less commonly used for the unlawful combinations of journeymen to raise their wages, or to refuse working, except on certain stipulated conditions.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_257_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_257_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: a text is a definition if it explicitly states the meaning of a term, typically in a declarative manner that separates the term from its explanation.\",\n \"source\": \"Common linguistic classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a term-behavior pairing (e.g., 'X is used for Y')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'the word conspiracy was formerly used almost exclusively for an agreement of two or more persons falsely to indict one, or to procure him to be indicted, of felony' and later for 'unlawful combinations of journeymen to raise their wages, or to refuse working.'\"\n },\n {\n \"element\": \"Text uses a definitional verb such as 'means', 'is', 'was used for'\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text uses 'was formerly used almost exclusively for' and 'is no less commonly used for' which are definitional phrases.\"\n },\n {\n \"element\": \"Text distinguishes between past and present meanings\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly contrasts past and present usage with 'formerly' and 'now'.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains a term, a definitional verb, and a description of usage (including potential historical context), then it should be classified as a definition. The presence of these elements satisfies the criteria for a definitional statement. The text meets all three elements, indicating it is a definition.\",\n \"uncertainty_notes\": [\n \"The text is a historical observation about a term's usage, which some might consider a definition and others as a description. However, the explicit framing of usage as 'used for' fits the definitional pattern.\"\n ],\n \"confidence\": 0.9\n}"}, {"
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{"example_id": 2640, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2640\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: COPYRIGHT\nAll content included in or made available through any Amazon Service, such as text, graphics, logos, button icons, images, audio clips, digital downloads, data compilations, and software is the property of Amazon or its content suppliers and protected by United States and international copyright laws. The compilation of all content included in or made available through any Amazon Service is the exclusive property of Amazon and protected by U.S. and international copyright laws.\n\nTRADEMARKS\nClick here to see a non-exhaustive list of Amazon trademarks. In addition, graphics, logos, page headers, button icons, scripts, and service names included in or made available through any Amazon Service are trademarks or trade dress of Amazon in the U.S. and other countries. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon that appear in any Amazon Service are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.\n\nPATENTS\nOne or more patents owned by Amazon apply to the Amazon Services and to the features and services accessible via the Amazon Services. Portions of the Amazon Services operate under license of one or more patents. Click here to see a non-exhaustive list of applicable Amazon patents and applicable licensed patents.\n\nLICENSE AND ACCESS\nSubject to your compliance with these Conditions of Use and any Service Terms, and your payment of any applicable fees, Amazon or its content providers grant you a limited, non-exclusive, non-transferable, non-sublicensable license to access and make personal and non-commercial use of the Amazon Services. This license does not include any resale or commercial use of any Amazon Service, or its contents; any collection and use of any product listings, descriptions, or prices; any derivative use of any Amazon Service or its contents; any downloading, copying, or other use of account information for the benefit of any third party; or any use of data mining, robots, or similar data gathering and extraction tools. All rights not expressly granted to you in these Conditions of Use or any Service Terms are reserved and retained by Amazon or its licensors, suppliers, publishers, rightsholders, or other content providers. No Amazon Service, nor any part of any Amazon Service, may be reproduced, duplicated, copied, sold, resold, visited, or otherwise exploited for any commercial purpose without express written consent of Amazon. You may not frame or utilize framing tec
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{"example_id": 2640, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2640\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: COPYRIGHT\nAll content included in or made available through any Amazon Service, such as text, graphics, logos, button icons, images, audio clips, digital downloads, data compilations, and software is the property of Amazon or its content suppliers and protected by United States and international copyright laws. The compilation of all content included in or made available through any Amazon Service is the exclusive property of Amazon and protected by U.S. and international copyright laws.\n\nTRADEMARKS\nClick here to see a non-exhaustive list of Amazon trademarks. In addition, graphics, logos, page headers, button icons, scripts, and service names included in or made available through any Amazon Service are trademarks or trade dress of Amazon in the U.S. and other countries. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon that appear in any Amazon Service are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.\n\nPATENTS\nOne or more patents owned by Amazon apply to the Amazon Services and to the features and services accessible via the Amazon Services. Portions of the Amazon Services operate under license of one or more patents. Click here to see a non-exhaustive list of applicable Amazon patents and applicable licensed patents.\n\nLICENSE AND ACCESS\nSubject to your compliance with these Conditions of Use and any Service Terms, and your payment of any applicable fees, Amazon or its content providers grant you a limited, non-exclusive, non-transferable, non-sublicensable license to access and make personal and non-commercial use of the Amazon Services. This license does not include any resale or commercial use of any Amazon Service, or its contents; any collection and use of any product listings, descriptions, or prices; any derivative use of any Amazon Service or its contents; any downloading, copying, or other use of account information for the benefit of any third party; or any use of data mining, robots, or similar data gathering and extraction tools. All rights not expressly granted to you in these Conditions of Use or any Service Terms are reserved and retained by Amazon or its licensors, suppliers, publishers, rightsholders, or other content providers. No Amazon Service, nor any part of any Amazon Service, may be reproduced, duplicated, copied, sold, resold, visited, or otherwise exploited for any commercial purpose without express written consent of Amazon. You may not frame or utilize framing tec
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{"example_id": 313, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 313\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt also creates a “contract” as defined by federal regulations, namely, a “mutually binding legal relationship obligating the seller to furnish the supplies or services ... and the buyer to pay for them,” including “all types of commitments that obligate the Government to an expenditure of appropriated funds and” (as a general matter) “are in writing.” 48 CFR § 2.101 (2015).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_313_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 313, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 313\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt also creates a “contract” as defined by federal regulations, namely, a “mutually binding legal relationship obligating the seller to furnish the supplies or services ... and the buyer to pay for them,” including “all types of commitments that obligate the Government to an expenditure of appropriated funds and” (as a general matter) “are in writing.” 48 CFR § 2.101 (2015).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_313_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_313_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'contract' using 48 CFR § 2.101 (2015)\",\n \"Definition includes 'mutually binding legal relationship'\",\n \"Text discusses federal regulations and appropriated funds\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a formal definition of a term\",\n \"Presence of regulatory language and citation to a rule\",\n \"Whether the text is meant to clarify the meaning of a term\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks identify if a passage defines a term\",\n \"Legal definitions often include citations and specific language\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not clearly define a term but rather uses it in context\",\n \"The passage is more of an application or discussion rather than a definition\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states 'as defined by' and quotes a regulation\",\n \"The primary purpose is to clarify the meaning of 'contract'\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text directly defines a term with a regulatory citation\",\n \"The passage centers on explaining what a 'contract' is\"\n ],\n \"less_relevant_if\": [\n \"The text only mentions the term without defining it\",\n \"The passage is a tangential reference rather than a main definition\"\n ]\n }\n ],\n \"missing_information\": [\n \"Broader context of the text (e.g., essay or document title)\",\n \"Whether the classification task expects only explicit definition sentences\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2575, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2575\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 5. REPRESENTATIONS AND WARRANTIES; INDEMNIFICATION; LIMITATION OF LIABILITIES\n\n5.1 You represent, warrant and covenant (a) that no materials of any kind submitted through your account will (i) violate, plagiarize, or infringe upon the rights of any third party, including copyright, trademark, privacy or other personal or proprietary rights; or (ii) contain libelous or otherwise unlawful material; (b) that you are at least thirteen years old if you are in the USA and the UK, and sixteen years old anywhere else; and (c) if you are under eighteen years old, your parent or legal guardian has read these Terms of Service and agreed to them and your use of the Service. You hereby indemnify, defend and hold harmless NYT and all officers, directors, owners, agents, information providers, affiliates, licensors and licensees (collectively, the \"Indemnified Parties\") from and against any and all liability and costs, including, without limitation, reasonable attorneys' fees, incurred by the Indemnified Parties in connection with any claim arising out of any breach by you or any user of your account of these Terms of Service or the foregoing representations, warranties and covenants. You shall cooperate as fully as reasonably required in the defense of any such claim. NYT reserves the right, at its own expense, to assume the exclusive defense and control of any matter subject to indemnification by you.\n\n5.2 NYT does not represent or endorse the accuracy or reliability of any advice, opinion, statement, or other information displayed, uploaded, or distributed through the Services by any user, information provider or any other person or entity. You acknowledge that any reliance upon any such opinion, advice, statement, memorandum, or information shall be at your sole risk. TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAWS, THE SERVICES AND ALL SOFTWARE ARE DISTRIBUTED ON AN \"AS IS\" BASIS WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, WARRANTIES OF TITLE OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. WHILE WE TRY OUR BEST TO ENSURE THAT THE SERVICES ARE ALWAYS AVAILABLE, UP-TO-DATE AND CORRECT, NYT DOES NOT WARRANT THAT THE SERVICES WILL BE UNINTERRUPTED OR ERROR-FREE. THERE MAY BE DELAYS, OMISSIONS, INTERRUPTIONS, AND INACCURACIES IN THE CONTENT OR OTHER MATERIAL MADE AVAILABLE THROUGH THE SERVICES. YOU SHOULD NOT RELY ON THE CONTENT AS A SUBSTITUTE FOR, NOR DOES IT REPLACE, PROFESSIONAL LEGAL, FINANCIAL, TAX OR MEDICAL ADVICE. IF YOU HAVE ANY CONCERNS OR QUESTIONS ABOUT YOUR HEALTH OR THE CONTENT ON THE SERVICES, YOU SHOULD ALWAYS CONSULT WITH A PHYSICIAN OR OTHER HEALTH-CARE PROFESSIONAL. PRIOR TO THE EXECUTION OF A PURCHASE OR
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{"example_id": 2575, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2575\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 5. REPRESENTATIONS AND WARRANTIES; INDEMNIFICATION; LIMITATION OF LIABILITIES\n\n5.1 You represent, warrant and covenant (a) that no materials of any kind submitted through your account will (i) violate, plagiarize, or infringe upon the rights of any third party, including copyright, trademark, privacy or other personal or proprietary rights; or (ii) contain libelous or otherwise unlawful material; (b) that you are at least thirteen years old if you are in the USA and the UK, and sixteen years old anywhere else; and (c) if you are under eighteen years old, your parent or legal guardian has read these Terms of Service and agreed to them and your use of the Service. You hereby indemnify, defend and hold harmless NYT and all officers, directors, owners, agents, information providers, affiliates, licensors and licensees (collectively, the \"Indemnified Parties\") from and against any and all liability and costs, including, without limitation, reasonable attorneys' fees, incurred by the Indemnified Parties in connection with any claim arising out of any breach by you or any user of your account of these Terms of Service or the foregoing representations, warranties and covenants. You shall cooperate as fully as reasonably required in the defense of any such claim. NYT reserves the right, at its own expense, to assume the exclusive defense and control of any matter subject to indemnification by you.\n\n5.2 NYT does not represent or endorse the accuracy or reliability of any advice, opinion, statement, or other information displayed, uploaded, or distributed through the Services by any user, information provider or any other person or entity. You acknowledge that any reliance upon any such opinion, advice, statement, memorandum, or information shall be at your sole risk. TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAWS, THE SERVICES AND ALL SOFTWARE ARE DISTRIBUTED ON AN \"AS IS\" BASIS WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, WARRANTIES OF TITLE OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. WHILE WE TRY OUR BEST TO ENSURE THAT THE SERVICES ARE ALWAYS AVAILABLE, UP-TO-DATE AND CORRECT, NYT DOES NOT WARRANT THAT THE SERVICES WILL BE UNINTERRUPTED OR ERROR-FREE. THERE MAY BE DELAYS, OMISSIONS, INTERRUPTIONS, AND INACCURACIES IN THE CONTENT OR OTHER MATERIAL MADE AVAILABLE THROUGH THE SERVICES. YOU SHOULD NOT RELY ON THE CONTENT AS A SUBSTITUTE FOR, NOR DOES IT REPLACE, PROFESSIONAL LEGAL, FINANCIAL, TAX OR MEDICAL ADVICE. IF YOU HAVE ANY CONCERNS OR QUESTIONS ABOUT YOUR HEALTH OR THE CONTENT ON THE SERVICES, YOU SHOULD ALWAYS CONSULT WITH A PHYSICIAN OR OTHER HEALTH-CARE PROFESSIONAL. PRIOR TO THE EXECUTION OF A PURCHASE OR
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{"example_id": 43, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 43\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nE-mails might also not be “records” if records are limited to “minutes” or other formal writings “designed to memorialize [past] events.” Id., at 1465.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_43_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 43, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 43\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nE-mails might also not be “records” if records are limited to “minutes” or other formal writings “designed to memorialize [past] events.” Id., at 1465.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_43_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_43_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text discusses that e-mails might not be considered 'records' if records are limited to 'minutes' or other formal writings designed to memorialize past events.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria being applied to the text is not provided.\",\n \"The context or legal definition of 'records' and 'e-mails' in this classification task is unknown.\"\n ],\n \"context_summary\": \"A legal sentence discussing that e-mails might not be 'records' if records are limited to formal writings designed to memorialize past events.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_43_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 43, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 43\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nE-mails might also not be “records” if records are limited to “minutes” or other formal writings “designed to memorialize [past] events.” Id., at 1465.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_43_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_43_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text discusses that e-mails might not be considered 'records' if records are limited to 'minutes' or other formal writings designed to memorialize past events.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria being applied to the text is not provided.\",\n \"The context or legal definition of 'records' and 'e-mails' in this classification task is unknown.\"\n ],\n \"context_summary\": \"A legal sentence discussing that e-mails might not be 'records' if records are limited to formal writings designed to memorialize past events.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_43_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_43_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses whether emails are considered 'records' under a specific definition\",\n \"Text quotes a source stating records are limited to minutes or formal writings designed to memorialize past events\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text itself is a record under the given definition\",\n \"Whether the text describes a category (emails) or a definition (records)\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of records; distinction between records and other documents like emails\",\n \"The text is a quotation from a case opinion\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not a record because it is a interpretive statement, not a formal writing\",\n \"The text itself does not memorialize a past event\"\n ],\n \"less_relevant_if\": [\n \"The text is considered a record because it is a formal opinion from a court\",\n \"The text meets the criteria of being a record under a broad definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The
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{"example_id": 377, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 377\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"To understand why, one first must look beyond the smokescreen that the Court lays down with its repeated apologies for inexperience in statistics, and its endless recitation of technical mathematical definitions of the word 'percentile.'\" Zuni Pub. Sch. Dist. No. 89 v. Dep't of Educ., 550 U.S. 81, 111, 127 S.Ct. 1534, 1553 (2007) (Scalia, J., dissenting).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_377_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 377, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 377\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"To understand why, one first must look beyond the smokescreen that the Court lays down with its repeated apologies for inexperience in statistics, and its endless recitation of technical mathematical definitions of the word 'percentile.'\" Zuni Pub. Sch. Dist. No. 89 v. Dep't of Educ., 550 U.S. 81, 111, 127 S.Ct. 1534, 1553 (2007) (Scalia, J., dissenting).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_377_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_377_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition identification rule: A text is classified as a definition if its primary purpose is to explain the meaning of a term or concept, typically using explicit definitional language.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains definitional language or explicitly defines a term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not define any term; it urges looking beyond technical definitions of 'percentile' laid by the court.\"\n },\n {\n \"element\": \"Text's primary purpose is to explain the meaning of a term or concept.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text is an argument about the Court's use of technical definitions, not an explanation of a term's meaning.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains definitional language or the primary purpose is explaining a term's meaning, then the 'Yes' category is applied; otherwise, the 'No' category is applied.\",\n \"uncertainty_notes\": [\n \"The text references 'technical mathematical definitions of the word percentile', which could be considered definitional, but the overall purpose is argumentative, not definition.\"\n ],\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_377_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 377, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 377\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"To understand why, one first must look beyond the smokescreen that the Court lays down with its repeated apologies for inexperience in statistics, and its endless recitation of technical mathematical definitions of the word 'percentile.'\" Zuni Pub. Sch. Dist. No. 89 v. Dep't of Educ., 550 U.S. 81, 111, 127 S.Ct. 1534, 1553 (2007) (Scalia, J., dissenting).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_377_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_377_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition identification rule: A text is classified as a definition if its primary purpose is to explain the meaning of a term or concept, typically using explicit definitional language.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains definitional language or explicitly defines a term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not define any term; it urges looking beyond technical definitions of 'percentile' laid by the court.\"\n },\n {\n \"element\": \"Text's primary purpose is to explain the meaning of a term or concept.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text is an argument about the Court's use of technical definitions, not an explanation of a term's meaning.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains definitional language or the primary purpose is explaining a term's meaning, then the 'Yes' category is applied; otherwise, the 'No' category is applied.\",\n \"uncertainty_notes\": [\n \"The text references 'technical mathematical definitions of the word percentile', which could be considered definitional, but the overall purpose is argumentative, not definition.\"\n ],\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_377_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_377_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal quote criticizing the Court's reasoning\",\n \"Text mentions 'percentile' and 'technical mathematical definitions'\",\n \"Text is from a dissenting opinion\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text itself p
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{"example_id": 1790, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1790\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the assessments made under the Income Tax Act for the 1990, 1991, 1992, 1993 and 1994 taxation years are allowed, to the extent set out in the attached Reasons for Judgment.\nThe appellant is not entitled to any further relief and costs are awarded to the Respondent.\nSigned at Ottawa, Canada, this 2nd day of April 2002.\n''Louise Lamarre Proulx''\nJ.T.C.C.\n[OFFICIAL ENGLISH TRANSLATION]\n1999-2791(IT)I\n...\nAppeals heard on common evidence with the appeals of Grard Nron (1999-2369(IT)G) on July 11, 12, 13 and 19, 2001, at Qubec, Quebec by\nthe Honourable Judge Louise Lamarre Proulx\nAppearances\nCounsel for the Appellant: Ren Roy\nMarie-Hlne Btournay\nCounsel for the Respondent: Martin Gentile\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1790_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1790, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1790\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the assessments made under the Income Tax Act for the 1990, 1991, 1992, 1993 and 1994 taxation years are allowed, to the extent set out in the attached Reasons for Judgment.\nThe appellant is not entitled to any further relief and costs are awarded to the Respondent.\nSigned at Ottawa, Canada, this 2nd day of April 2002.\n''Louise Lamarre Proulx''\nJ.T.C.C.\n[OFFICIAL ENGLISH TRANSLATION]\n1999-2791(IT)I\n...\nAppeals heard on common evidence with the appeals of Grard Nron (1999-2369(IT)G) on July 11, 12, 13 and 19, 2001, at Qubec, Quebec by\nthe Honourable Judge Louise Lamarre Proulx\nAppearances\nCounsel for the Appellant: Ren Roy\nMarie-Hlne Btournay\nCounsel for the Respondent: Martin Gentile\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1790_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1790_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text states appeals are allowed to the extent set out in Reasons for Judgment.\",\n \"The appellant is not entitled to further relief.\",\n \"Costs are awarded to the respondent.\",\n \"The judgment was signed on April 2, 2002.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Explicit language in the text regarding allowance or dismissal of appeals\",\n \"Presence or absence of phrases like 'allowed', 'dismissed', or 'granted'\",\n \"Any qualification such as 'to the extent set out' that might limit allowance\"\n ],\n \"knowledge_slots\": [\n \"In legal judgments, 'appeals are allowed' means the appeal succeeded in whole or part.\",\n \"'Appeals are dismissed' means the appeal failed and original assessment stands.\",\n \"'Other' would apply if the outcome is ambiguous or not clearly allowed/dismissed.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text uses 'allowed' or 'granted' to describe the appeal outcome\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'dismissed' or 'denied'\",\n \"The allowance is conditional or partial, but the text still uses 'allowed'\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text uses 'dismissed' or 'denied' for the appeals\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'allowed' even with qual
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{"example_id": 2329, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2329\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Mineral Leasing Act to require the Secretary of the Interior to convey to a State all right, title, and interest in and to a percentage of the amount of royalties and other amounts required to be paid to the State under that Act with respect to public land and deposits in the State, and for other purposes.\nbill_summary: State Mineral Revenue Protection Act of 2019 \n\nThis bill increases the percentage that states receive from sales, bonuses, royalties, and rentals for all public land or mineral deposits located in the states by eliminating administrative costs that are deducted from the share allocated to states under current law.\n\nThe bill eliminates the 2% fee that the federal government currently deducts from a state's share to cover administrative or other costs.\n\nOn request of a state, the Department of the Interior must convey to the state a property interest in the state's share of royalties and other payments from public land or mineral deposits located in the state.Interior must provide prompt notice of any such conveyance and the duty of the leaseholder to make direct payments to the state.\ncompany_name: Aegion Corp.\ncompany_description: Aegion combines innovative technologies with market leading expertise to maintain, rehabilitate and strengthen pipelines and other infrastructure around the world. Since 1971, we have played a pioneering role in finding transformational solutions to rehabilitate aging infrastructure, primarily pipelines in the wastewater, water, energy, mining and refining industries. We also maintain the efficient operation of refineries and other industrial facilities and provide innovative solutions for the strengthening of buildings, bridges and other structures. We believe the depth and breadth of our products and services make us a leading provider for the world's infrastructure rehabilitation and protection needs. Our Company premise is to use technology to extend the structural design life and maintain, if not improve, the performance of infrastructure, mostly related to pipelines and piping systems. We have proved this expertise can be applied in a variety of markets to protect pipelines in oil, gas, nuclear, mining, wastewater and water applications and can be extended to the rehabilitation and maintenance of commercial structures and the provision of professional services in energy-related industries. Many types of infrastructure must be protected from the corrosive and abrasive materials that pass through or near them. Our expertise in non-disruptive corrosion engineering and abrasion protection is wide-ranging. We manufacture many of the engineered solutions we offer to customers as well as the specialized equipment required to install
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{"example_id": 2329, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2329\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Mineral Leasing Act to require the Secretary of the Interior to convey to a State all right, title, and interest in and to a percentage of the amount of royalties and other amounts required to be paid to the State under that Act with respect to public land and deposits in the State, and for other purposes.\nbill_summary: State Mineral Revenue Protection Act of 2019 \n\nThis bill increases the percentage that states receive from sales, bonuses, royalties, and rentals for all public land or mineral deposits located in the states by eliminating administrative costs that are deducted from the share allocated to states under current law.\n\nThe bill eliminates the 2% fee that the federal government currently deducts from a state's share to cover administrative or other costs.\n\nOn request of a state, the Department of the Interior must convey to the state a property interest in the state's share of royalties and other payments from public land or mineral deposits located in the state.Interior must provide prompt notice of any such conveyance and the duty of the leaseholder to make direct payments to the state.\ncompany_name: Aegion Corp.\ncompany_description: Aegion combines innovative technologies with market leading expertise to maintain, rehabilitate and strengthen pipelines and other infrastructure around the world. Since 1971, we have played a pioneering role in finding transformational solutions to rehabilitate aging infrastructure, primarily pipelines in the wastewater, water, energy, mining and refining industries. We also maintain the efficient operation of refineries and other industrial facilities and provide innovative solutions for the strengthening of buildings, bridges and other structures. We believe the depth and breadth of our products and services make us a leading provider for the world's infrastructure rehabilitation and protection needs. Our Company premise is to use technology to extend the structural design life and maintain, if not improve, the performance of infrastructure, mostly related to pipelines and piping systems. We have proved this expertise can be applied in a variety of markets to protect pipelines in oil, gas, nuclear, mining, wastewater and water applications and can be extended to the rehabilitation and maintenance of commercial structures and the provision of professional services in energy-related industries. Many types of infrastructure must be protected from the corrosive and abrasive materials that pass through or near them. Our expertise in non-disruptive corrosion engineering and abrasion protection is wide-ranging. We manufacture many of the engineered solutions we offer to customers as well as the specialized equipment required to install
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{"example_id": 1316, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1316\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nS. nationals . . . against Iran or Iranian entities” still being litigated in the Tribunal “remain blocked in the United States.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1316_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1316, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1316\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nS. nationals . . . against Iran or Iranian entities” still being litigated in the Tribunal “remain blocked in the United States.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1316_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1316_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text mentions S. nationals against Iran or Iranian entities still being litigated in the Tribunal remain blocked in the United States.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text satisfies the unstated definition being tested\",\n \"Presence of specific legal terms like 'blocked', 'litigated', 'United States', 'Tribunal'\"\n ],\n \"knowledge_slots\": [\n \"Typical definitions for legal classification tasks involve criteria about blocking and litigation status\",\n \"The definition is not provided; inference depends on context from LegalBench\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not meet the definition's criteria for being a match\",\n \"The definition requires elements absent from the text\"\n ],\n \"less_relevant_if\": [\n \"The text shares key phrases with the definition\",\n \"The definition is broadly interpreted to include such statements\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text meets the definition's criteria for being a match\",\n \"The definition is specifically about blocking and ongoing litigation\"\n ],\n \"less_relevant_if\": [\n \"The definition requires more specific information than present\",\n \"The text is too vague or lacks required elements\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition being used for classification\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1852, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1852\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached Reasons for Judgment, the appeal is dismissed and the decision rendered by the Minister of National Revenue on May 3, 2011, under the Employment Insurance Act is confirmed.\nSigned at Ottawa, Ontario, this 31st day of January 2012.\n\"Gaston Jorr\"\nJorr J.\nTranslation certified true\non this 15th day of February 2012.\nElizabeth Tan, Translator\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1852_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1852, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1852\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached Reasons for Judgment, the appeal is dismissed and the decision rendered by the Minister of National Revenue on May 3, 2011, under the Employment Insurance Act is confirmed.\nSigned at Ottawa, Ontario, this 31st day of January 2012.\n\"Gaston Jorr\"\nJorr J.\nTranslation certified true\non this 15th day of February 2012.\nElizabeth Tan, Translator\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1852_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1852_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal is dismissed.\",\n \"The decision rendered by the Minister of National Revenue on May 3, 2011 is confirmed.\",\n \"The judgment was signed on January 31, 2012 by Justice Jorr.\",\n \"The translation was certified on February 15, 2012.\"\n ],\n \"missing_info\": [\n \"Details about the original decision or the underlying dispute.\",\n \"The specific provisions of the Employment Insurance Act involved.\"\n ],\n \"context_summary\": \"A Canadian tax court document stating that the appeal is dismissed and the Minister of National Revenue's decision from May 3, 2011 is confirmed, signed by Justice Jorr on January 31, 2012.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1852_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1852, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1852\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nIn accordance with the attached Reasons for Judgment, the appeal is dismissed and the decision rendered by the Minister of National Revenue on May 3, 2011, under the Employment Insurance Act is confirmed.\nSigned at Ottawa, Ontario, this 31st day of January 2012.\n\"Gaston Jorr\"\nJorr J.\nTranslation certified true\non this 15th day of February 2012.\nElizabeth Tan, Translator\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1852_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1852_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal is dismissed.\",\n \"The decision rendered by the Minister of National Revenue on May 3, 2011 is confirmed.\",\n \"The judgment was signed on January 31, 2012 by Justice Jorr.\",\n \"The translation was certified on February 15, 2012.\"\n ],\n \"missing_info\": [\n \"Details about the original decision or the underlying dispute.\",\n \"The specific provisions of the Employment Insurance Act involved.\"\n ],\n \"context_summary\": \"A Canadian tax court document stating that the appeal is dismissed and the Minister of National Revenue's decision from May 3, 2011 is confirmed, signed by Justice Jorr on January 31, 2012.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1852_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1852_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeal is dismissed\",\n \"Decision confirmed under Employment Insurance Act\",\n \"Judgment signed January 31, 2012\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome words like 'dismissed' or 'allowed' in the text\",\n \"Context of the judicial decision (appeal outcome)\",\n \"Standard phrasing in tax court judgments for dismissal or allowance\"\n ],\n \"knowledge_slots\": [\n \"In legal judgments, 'appeal is dismissed' means the appeal is rejected\",\n \"'Appeal is allowed' means the appeal is granted\",\n \"Tax court outcomes are often explicitly stated in the first paragraph\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text contains words like 'allowed', 'granted', or 'appeal is
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{"example_id": 577, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 577\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA condition precedent is one which must happen or be performed before the estate to which it is annexed can vest’ or which must be performed ‘before some right dependent thereon accrues.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_577_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 577, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 577\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA condition precedent is one which must happen or be performed before the estate to which it is annexed can vest’ or which must be performed ‘before some right dependent thereon accrues.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_577_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_577_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is a definition if it explains the meaning of a term using a definitional verb (e.g., 'is', 'means', 'refers to') and provides a clear description.\",\n \"source\": \"General linguistic criteria for definitions\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a term being defined\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly mentions 'condition precedent'\"\n },\n {\n \"element\": \"Text uses a definitional verb to equate the term to its meaning\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'A condition precedent is one which must happen...' using the verb 'is'\"\n },\n {\n \"element\": \"Text provides a complete description of the term's meaning\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The description includes necessary conditions for vesting or accruing of a right\"\n }\n ],\n \"conclusion_logic\": \"If the text contains a term, a definitional verb, and a description of the term's meaning, then the text is a definition. Otherwise, it is not a definition.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_577_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 577, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 577\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA condition precedent is one which must happen or be performed before the estate to which it is annexed can vest’ or which must be performed ‘before some right dependent thereon accrues.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_577_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_577_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is a definition if it explains the meaning of a term using a definitional verb (e.g., 'is', 'means', 'refers to') and provides a clear description.\",\n \"source\": \"General linguistic criteria for definitions\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a term being defined\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text explicitly mentions 'condition precedent'\"\n },\n {\n \"element\": \"Text uses a definitional verb to equate the term to its meaning\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'A condition precedent is one which must happen...' using the verb 'is'\"\n },\n {\n \"element\": \"Text provides a complete description of the term's meaning\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The description includes necessary conditions for vesting or accruing of a right\"\n }\n ],\n \"conclusion_logic\": \"If the text contains a term, a definitional verb, and a description of the term's meaning, then the text is a definition. Otherwise, it is not a definition.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_577_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_577_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'condition precedent' as something that must happen before vesting or right accrues\",\n \"Definition includes phrases like 'must happen or be performed before'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches a standard legal definition of 'condition precedent'\",\n \"Whether the text includes required elements of a precedent condition\"\n ],\n \"knowledge_slots\": [\n \"A condition precedent is an event or action that must occur before a legal right or obligation becomes effectiv
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{"example_id": 1518, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1518\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 40\nParagraph: In 2019, following the passage of the First Step Act, Lawrence filed a pro se motion in district court requesting that his sentence be reduced to time served, which at that time was 209 months—more than seventeen years. The district court appointed counsel for Lawrence, and counsel filed a supplemental motion explaining that, in light of the Fair Sentencing Act's amended sentencing ranges, Lawrence's conviction now subjected him only to a 0-to-20-year sentencing range rather than the 5-to-40-year range applied at his original sentencing. See 21 U.S.C. § 841(b)(1)(B), (C). The supplemental motion also recalculated Lawrence's Guidelines range as 210 to 262 months of imprisonment. In addition, Lawrence argued that time served would be an appropriate reduced sentence given his age (50 years old), consistent with the sentencing factors outlined at 18 U.S.C. § 3553(a). Finally, Lawrence's supplemental motion incorporated the arguments from his pro se motion, which, as relevant here, had argued that under Section 404, the district court had “authority to conduct a full resentencing * * * in the defendant's presence.” J.A. 39, 49.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1518_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1518, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1518\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 40\nParagraph: In 2019, following the passage of the First Step Act, Lawrence filed a pro se motion in district court requesting that his sentence be reduced to time served, which at that time was 209 months—more than seventeen years. The district court appointed counsel for Lawrence, and counsel filed a supplemental motion explaining that, in light of the Fair Sentencing Act's amended sentencing ranges, Lawrence's conviction now subjected him only to a 0-to-20-year sentencing range rather than the 5-to-40-year range applied at his original sentencing. See 21 U.S.C. § 841(b)(1)(B), (C). The supplemental motion also recalculated Lawrence's Guidelines range as 210 to 262 months of imprisonment. In addition, Lawrence argued that time served would be an appropriate reduced sentence given his age (50 years old), consistent with the sentencing factors outlined at 18 U.S.C. § 3553(a). Finally, Lawrence's supplemental motion incorporated the arguments from his pro se motion, which, as relevant here, had argued that under Section 404, the district court had “authority to conduct a full resentencing * * * in the defendant's presence.” J.A. 39, 49.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1518_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1518_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Lawrence filed a pro se motion requesting sentence reduction to time served\",\n \"District court appointed counsel, who filed a supplemental motion\",\n \"Supplemental motion cited Fair Sentencing Act to amend sentencing range\",\n \"Guidelines range recalculated to 210-262 months\",\n \"Lawrence argued time served appropriate due to age and 18 U.S.C. § 3553(a)\",\n \"Motion incorporated arguments from original pro se motion citing 18 U.S.C. § 3553(a)\"\n ],\n \"task_type\": \"legal_document_section_classification\",\n \"decision_factors\": [\n \"Whether the text describes prior actions of the parties and court motions\",\n \"Whether the text cites statutes to support arguments\",\n \"Whether the text focuses on procedural steps rather than legal analysis or conclusion\",\n \"Whether the text incorporates arguments from a pro se motion\"\n ],\n \"knowledge_slots\": [\n \
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{"example_id": 2353, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2353\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to significantly lower prescription drug prices for patients in the United States by ending government-granted monopolies for manufacturers who charge drug prices that are higher than the median prices at which the drugs are available in other countries.\nbill_summary: Prescription Drug Price Relief Act of 2019\n\nThis bill establishes a series of oversight and disclosure requirements relating to the prices of brand-name drugs. Specifically, the bill requires the Department of Health and Human Services (HHS) to review at least annually all brand-name drugs for excessive pricing; HHS must also review prices upon petition. If any such drugs are found to be excessively priced, HHS must (1) void any government-granted exclusivity; (2) issue open, nonexclusive licenses for the drugs; and (3) expedite the review of corresponding applications for generic drugs and biosimilar biological products. HHS must also create a public database with its determinations for each drug.\n\nUnder the bill, a price is considered excessive if the domestic average manufacturing price exceeds the median price for the drug in Canada, the United Kingdom, Germany, France, and Japan. If a price does not meet this criteria, or if pricing information is unavailable in at least three of the aforementioned countries, the price is still considered excessive if it is higher than reasonable in light of specified factors, including cost, revenue, and the size of the affected patient population.\n\nThe bill also requires drug manufacturers to report specified financial information for brand-name drugs, including research and advertising expenditures.\ncompany_name: Abeona Therapeutics, Inc.\ncompany_description: We are a clinical-stage biopharmaceutical company developing cell and gene therapies for life-threatening rare genetic diseases. Our lead programs include EB-101 (gene-corrected skin grafts) for recessive dystrophic epidermolysis bullosa (RDEB), ABO-102 (AAV-SGSH), an adeno-associated virus (AAV) based gene therapy for Sanfilippo syndrome type A (MPS IIIA) and ABO-101 (AAV NAGLU), an AAV based gene therapy for Sanfilippo syndrome type B (MPS IIIB). We are also developing ABO-201 (AAV-CLN3) gene therapy for juvenile Batten disease (JNCL), ABO-202 (AAV-CLN1) for treatment of infantile Batten disease (INCL), EB-201 for epidermolysis bullosa (EB), ABO-301 (AAV-FANCC) for Fanconi anemia (FA) disorder and ABO-302 using a novel CRISPR /Cas9-based gene editing approach to gene therapy for rare blood diseases. In addition we are developing a proprietary vector platform, AIM™, for next generation product candidates. Product Development Strategy Abeona is focused on developing and delivering gene therapy products for severe and l
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{"example_id": 2353, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2353\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to significantly lower prescription drug prices for patients in the United States by ending government-granted monopolies for manufacturers who charge drug prices that are higher than the median prices at which the drugs are available in other countries.\nbill_summary: Prescription Drug Price Relief Act of 2019\n\nThis bill establishes a series of oversight and disclosure requirements relating to the prices of brand-name drugs. Specifically, the bill requires the Department of Health and Human Services (HHS) to review at least annually all brand-name drugs for excessive pricing; HHS must also review prices upon petition. If any such drugs are found to be excessively priced, HHS must (1) void any government-granted exclusivity; (2) issue open, nonexclusive licenses for the drugs; and (3) expedite the review of corresponding applications for generic drugs and biosimilar biological products. HHS must also create a public database with its determinations for each drug.\n\nUnder the bill, a price is considered excessive if the domestic average manufacturing price exceeds the median price for the drug in Canada, the United Kingdom, Germany, France, and Japan. If a price does not meet this criteria, or if pricing information is unavailable in at least three of the aforementioned countries, the price is still considered excessive if it is higher than reasonable in light of specified factors, including cost, revenue, and the size of the affected patient population.\n\nThe bill also requires drug manufacturers to report specified financial information for brand-name drugs, including research and advertising expenditures.\ncompany_name: Abeona Therapeutics, Inc.\ncompany_description: We are a clinical-stage biopharmaceutical company developing cell and gene therapies for life-threatening rare genetic diseases. Our lead programs include EB-101 (gene-corrected skin grafts) for recessive dystrophic epidermolysis bullosa (RDEB), ABO-102 (AAV-SGSH), an adeno-associated virus (AAV) based gene therapy for Sanfilippo syndrome type A (MPS IIIA) and ABO-101 (AAV NAGLU), an AAV based gene therapy for Sanfilippo syndrome type B (MPS IIIB). We are also developing ABO-201 (AAV-CLN3) gene therapy for juvenile Batten disease (JNCL), ABO-202 (AAV-CLN1) for treatment of infantile Batten disease (INCL), EB-201 for epidermolysis bullosa (EB), ABO-301 (AAV-FANCC) for Fanconi anemia (FA) disorder and ABO-302 using a novel CRISPR /Cas9-based gene editing approach to gene therapy for rare blood diseases. In addition we are developing a proprietary vector platform, AIM™, for next generation product candidates. Product Development Strategy Abeona is focused on developing and delivering gene therapy products for severe and l
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{"example_id": 115, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 115\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The Act's use of the phrase 'falsely represents,' moreover, connotes a knowledge requirement. See Black's Law Dictionary 1022 (8th ed.2004)\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_115_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 115, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 115\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The Act's use of the phrase 'falsely represents,' moreover, connotes a knowledge requirement. See Black's Law Dictionary 1022 (8th ed.2004)\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_115_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_115_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text includes the phrase 'falsely represents' from The Act\",\n \"Citation to Black's Law Dictionary defining the term\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily states or implies a definition\",\n \"Whether the dictionary citation supports a definitional interpretation\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: texts stating a term's meaning are definitional\",\n \"Legal texts often define terms of art with dictionary citations\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text is not primarily definitional in nature\",\n \"Citation is merely illustrative, not defining the term\"\n ],\n \"less_relevant_if\": [\n \"Text explicitly gives the meaning of a term\",\n \"The phrase is introduced as a definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text explicitly defines the phrase 'falsely represents'\",\n \"Dictionary citation is used to establish the term's legal meaning\"\n ],\n \"less_relevant_if\": [\n \"Text only mentions the phrase without defining it\",\n \"Citation refers to a different context\"\n ]\n }\n ],\n \"missing_information\": [\n \"Full surrounding text to confirm if the dictionary entry is presented as a definition\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1048, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1048\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTrial by affidavit is no substitute for trial by jury which so long has been the hallmark of ‘even handed justice.’ ” Poller v. Columbia Broadcasting, 368 U. S. 464, 473 (1962).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1048_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1048, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1048\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTrial by affidavit is no substitute for trial by jury which so long has been the hallmark of ‘even handed justice.’ ” Poller v. Columbia Broadcasting, 368 U. S. 464, 473 (1962).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1048_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1048_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from Poller v. Columbia Broadcasting, 368 U.S. 464, 473 (1962).\",\n \"The text states that trial by affidavit is no substitute for trial by jury.\",\n \"The text describes trial by jury as the hallmark of 'even handed justice'.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria that the text is being classified against is not provided.\",\n \"The meaning of the labels 'Yes' and 'No' in this classification task is not given.\"\n ],\n \"context_summary\": \"The text is a quote from a legal case (Poller v. Columbia Broadcasting) emphasizing that trial by jury, as the hallmark of even-handed justice, cannot be substituted by trial by affidavit.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1048_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1048, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1048\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTrial by affidavit is no substitute for trial by jury which so long has been the hallmark of ‘even handed justice.’ ” Poller v. Columbia Broadcasting, 368 U. S. 464, 473 (1962).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1048_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1048_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from Poller v. Columbia Broadcasting, 368 U.S. 464, 473 (1962).\",\n \"The text states that trial by affidavit is no substitute for trial by jury.\",\n \"The text describes trial by jury as the hallmark of 'even handed justice'.\"\n ],\n \"missing_info\": [\n \"The specific definition or criteria that the text is being classified against is not provided.\",\n \"The meaning of the labels 'Yes' and 'No' in this classification task is not given.\"\n ],\n \"context_summary\": \"The text is a quote from a legal case (Poller v. Columbia Broadcasting) emphasizing that trial by jury, as the hallmark of even-handed justice, cannot be substituted by trial by affidavit.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1048_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1048_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a quote from Poller v. Columbia Broadcasting, 368 U.S. 464, 473 (1962).\",\n \"The text states 'Trial by affidavit is no substitute for trial by jury which so long has been the hallmark of “even handed justice.”'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text affirms or denies a proposition about trial by affidavit as a substitute for trial by jury.\",\n \"The contextual legal meaning of 'no substitute' in the quote.\"\n ],\n \"knowledge_slots\": [\n \"Legal principle that trial by jury is a hallmark of even-handed justice.\",\n \"Interpretation of 'no substitute' meaning the statement opposes replacement of jury trial with trial by affidavit.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text explicitly rejects the idea that trial by affidavit can replace trial by jury.\",\n \"The statement is used to argue against substituting jury trial with affidavit process.\"\n
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{"example_id": 2823, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2823\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: A. Changes to the Disney Products. The Disney Products are constantly evolving and will change over time. We reserve the right to make such changes or, if necessary, discontinue Disney Products. If required by law, we may also need to suspend, restrict, or terminate your access to Disney Products.\n\nB. Third-Party Services or Platforms. The Disney Products may integrate, be integrated into, or be provided in connection with third-party websites, services, applications, platforms, and/or content. We do not control those third-parties or the products they make available. You should read the terms of use agreements and privacy policies that apply to such third-party products. If you access a Disney Product using an Apple iOS, Android or Microsoft Windows-powered device or Microsoft Xbox One, Apple Inc., Google, Inc. or Microsoft Corporation, respectively, shall be a third-party beneficiary of this contract. However, these third-party beneficiaries are not a party to this contract. You agree that your access to the Disney Products using these devices also shall be subject to the usage terms set forth in the applicable third-party beneficiarys terms of service. You represent to Disney that you have read and agreed to those terms.\n\nC. Internet, Browser and System Requirements. You may need a high speed Internet connection and/or minimum system and/or browser requirements to access and use certain aspects of the Disney Products. You are required to review the minimum requirements necessary for use of the specific Product.\n\nD. Mobile Networks. When you access the Disney Products through a mobile network, your network or roaming providers messaging, data and other rates and fees will apply. Downloading, installing or using certain Products may be prohibited or restricted by your network provider and not all Products may work with your network provider or device.\n\nE. Consent to Messages. When you use the Disney Products, you may be given the opportunity to consent to receive communications from us through email, text, and/or mobile push notifications. Standard text and calling rates will apply. You agree that texts, calls or prerecorded messages may be generated by automatic telephone dialing systems. You can opt out of promotional communications by following the Unsubscribe directions for emails, through the settings of the Disney Product, or, if via text message, by responding STOP. YOU ACKNOWLEDGE THAT YOU ARE NOT REQUIRED TO CONSENT TO RECEIVE PROMOTIONAL TEXTS OR CALLS AS A CONDITION OF USING THE DISNEY PRODUCTS.\n\nF. App Permissions. When you use the Disney Products, you may grant certain permissions to us for your device and/or accounts. Most mobile device platforms provide additional infor
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{"example_id": 2823, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2823\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: A. Changes to the Disney Products. The Disney Products are constantly evolving and will change over time. We reserve the right to make such changes or, if necessary, discontinue Disney Products. If required by law, we may also need to suspend, restrict, or terminate your access to Disney Products.\n\nB. Third-Party Services or Platforms. The Disney Products may integrate, be integrated into, or be provided in connection with third-party websites, services, applications, platforms, and/or content. We do not control those third-parties or the products they make available. You should read the terms of use agreements and privacy policies that apply to such third-party products. If you access a Disney Product using an Apple iOS, Android or Microsoft Windows-powered device or Microsoft Xbox One, Apple Inc., Google, Inc. or Microsoft Corporation, respectively, shall be a third-party beneficiary of this contract. However, these third-party beneficiaries are not a party to this contract. You agree that your access to the Disney Products using these devices also shall be subject to the usage terms set forth in the applicable third-party beneficiarys terms of service. You represent to Disney that you have read and agreed to those terms.\n\nC. Internet, Browser and System Requirements. You may need a high speed Internet connection and/or minimum system and/or browser requirements to access and use certain aspects of the Disney Products. You are required to review the minimum requirements necessary for use of the specific Product.\n\nD. Mobile Networks. When you access the Disney Products through a mobile network, your network or roaming providers messaging, data and other rates and fees will apply. Downloading, installing or using certain Products may be prohibited or restricted by your network provider and not all Products may work with your network provider or device.\n\nE. Consent to Messages. When you use the Disney Products, you may be given the opportunity to consent to receive communications from us through email, text, and/or mobile push notifications. Standard text and calling rates will apply. You agree that texts, calls or prerecorded messages may be generated by automatic telephone dialing systems. You can opt out of promotional communications by following the Unsubscribe directions for emails, through the settings of the Disney Product, or, if via text message, by responding STOP. YOU ACKNOWLEDGE THAT YOU ARE NOT REQUIRED TO CONSENT TO RECEIVE PROMOTIONAL TEXTS OR CALLS AS A CONDITION OF USING THE DISNEY PRODUCTS.\n\nF. App Permissions. When you use the Disney Products, you may grant certain permissions to us for your device and/or accounts. Most mobile device platforms provide additional infor
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{"example_id": 2823, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2823\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: A. Changes to the Disney Products. The Disney Products are constantly evolving and will change over time. We reserve the right to make such changes or, if necessary, discontinue Disney Products. If required by law, we may also need to suspend, restrict, or terminate your access to Disney Products.\n\nB. Third-Party Services or Platforms. The Disney Products may integrate, be integrated into, or be provided in connection with third-party websites, services, applications, platforms, and/or content. We do not control those third-parties or the products they make available. You should read the terms of use agreements and privacy policies that apply to such third-party products. If you access a Disney Product using an Apple iOS, Android or Microsoft Windows-powered device or Microsoft Xbox One, Apple Inc., Google, Inc. or Microsoft Corporation, respectively, shall be a third-party beneficiary of this contract. However, these third-party beneficiaries are not a party to this contract. You agree that your access to the Disney Products using these devices also shall be subject to the usage terms set forth in the applicable third-party beneficiarys terms of service. You represent to Disney that you have read and agreed to those terms.\n\nC. Internet, Browser and System Requirements. You may need a high speed Internet connection and/or minimum system and/or browser requirements to access and use certain aspects of the Disney Products. You are required to review the minimum requirements necessary for use of the specific Product.\n\nD. Mobile Networks. When you access the Disney Products through a mobile network, your network or roaming providers messaging, data and other rates and fees will apply. Downloading, installing or using certain Products may be prohibited or restricted by your network provider and not all Products may work with your network provider or device.\n\nE. Consent to Messages. When you use the Disney Products, you may be given the opportunity to consent to receive communications from us through email, text, and/or mobile push notifications. Standard text and calling rates will apply. You agree that texts, calls or prerecorded messages may be generated by automatic telephone dialing systems. You can opt out of promotional communications by following the Unsubscribe directions for emails, through the settings of the Disney Product, or, if via text message, by responding STOP. YOU ACKNOWLEDGE THAT YOU ARE NOT REQUIRED TO CONSENT TO RECEIVE PROMOTIONAL TEXTS OR CALLS AS A CONDITION OF USING THE DISNEY PRODUCTS.\n\nF. App Permissions. When you use the Disney Products, you may grant certain permissions to us for your device and/or accounts. Most mobile device platforms provide additional infor
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{"example_id": 1485, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1485\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 34\nParagraph: Four months later, the Commission published a modified version of the proposed order, referred to as the Governance Order. See Order Directing the Exchanges and the Financial Industry Regulatory Authority To Submit a New National Market System Plan Regarding Consolidated Equity Market Data (“Governance Order”), 85 Fed. Reg. 28,702 (May 13, 2020). Over the objections of several stock exchanges, the Commission required the forthcoming proposal to include, among other things, three specific features: (1) “voting representation” on the “New Consolidated Data Plan's operating committee” for certain non-exchange stakeholders; (2) a “voting rights” allocation that treats a group of affiliated exchanges as if it were one exchange; and (3) an “independent plan administrator” neither “owned [n]or controlled by a corporate entity that, either directly or via another subsidiary, offers for sale its own proprietary market data product for NMS stocks.” Id. at 28,712, 28,714, 28,730.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1485_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1485, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1485\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 34\nParagraph: Four months later, the Commission published a modified version of the proposed order, referred to as the Governance Order. See Order Directing the Exchanges and the Financial Industry Regulatory Authority To Submit a New National Market System Plan Regarding Consolidated Equity Market Data (“Governance Order”), 85 Fed. Reg. 28,702 (May 13, 2020). Over the objections of several stock exchanges, the Commission required the forthcoming proposal to include, among other things, three specific features: (1) “voting representation” on the “New Consolidated Data Plan's operating committee” for certain non-exchange stakeholders; (2) a “voting rights” allocation that treats a group of affiliated exchanges as if it were one exchange; and (3) an “independent plan administrator” neither “owned [n]or controlled by a corporate entity that, either directly or via another subsidiary, offers for sale its own proprietary market data product for NMS stocks.” Id. at 28,712, 28,714, 28,730.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1485_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1485_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Four months after publishing a proposed order, the Commission published a modified version called the Governance Order.\",\n \"The Governance Order required three specific features: voting representation, voting rights allocation, and independent plan administrator.\"\n ],\n \"task_type\": \"section_classification\",\n \"decision_factors\": [\n \"Whether the text describes a prior action or progression of events.\",\n \"Whether the text contains detailed reasoning or analysis of legal issues.\",\n \"Whether the text states a final judgment or outcome.\",\n \"Whether the text sets forth a legal rule or standard.\"\n ],\n \"knowledge_slots\": [\n \"Procedural History: account of previous steps or actions taken in the legal process.\",\n \"Facts: background events or circumstances relevant to the case.\",\n \"Analysis: discussion of how rules apply to facts, often with reasoning.\",\n \"Conclusion: statement of the final decision or holding.\",\n \"Issue: statement of the legal question to be resolved.\",\n \"Ru
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{"example_id": 1963, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1963\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: Making appropriations for Department of State, foreign operations, and related programs for the fiscal year ending September 30, 2020, and for other purposes.\nbill_summary: Department of State, Foreign Operations, and Related Programs Appropriations Act, 2020\n\nThis bill provides FY2020 appropriations for the Department of State, foreign operations, and related programs.\n\nThe bill provides appropriations to the State Department for\n\n Administration of Foreign Affairs, International Organizations, and International Commissions. The bill provides appropriations for Related Agencies and Related Programs, including\n\n the U.S. Agency for Global Media, the Asia Foundation, the U.S. Institute of Peace, the Center for Middle Eastern-Western Dialogue Trust Fund, the Eisenhower Exchange Fellowship Program, the Israeli Arab Scholarship Program, the East-West Center, and the National Endowment for Democracy. The bill provides appropriations for Other Commissions, including\n\n the Commission for the Preservation of America's Heritage Abroad, the U.S. Commission on International Religious Freedom, the Commission on Security and Cooperation in Europe, the Congressional-Executive Commission on the People's Republic of China, the U.S.-China Economic and Security Review Commission, and the Western Hemisphere Drug Policy Commission. The bill provides appropriations to\n\n the U.S. Agency for International Development (USAID), the State Department and the President for International Security Assistance, the President and International Financial Institutions for Multilateral Assistance, and specified accounts for Overseas Contingency Operations/ Global War on Terrorism. The bill provides appropriations for Bilateral Economic Assistance to\n\n the President; the State Department; Independent Agencies, including the Peace Corps, the Millennium Challenge Corporation, the Inter-American Foundation, and the U.S. African Development Foundation; and the Department of the Treasury. The bill provides appropriations for Export and Investment Assistance to\n\n the Export-Import Bank of the United States, the U.S. International Development Finance Corporation, and the U.S. Trade and Development Agency. The bill sets forth requirements and restrictions for using funds provided by this and other appropriations Acts.\ncompany_name: Air Transport Services Group, Inc.\ncompany_description: leases aircraft and provides airline operations, ground services, aircraft modification and maintenance services, and other support services to the air transportation and logistics industries. Through the Company's subsidiaries, we offer a range of complementary services to delivery businesses, freight forwarders, airlines and government c
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{"example_id": 1963, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1963\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: Making appropriations for Department of State, foreign operations, and related programs for the fiscal year ending September 30, 2020, and for other purposes.\nbill_summary: Department of State, Foreign Operations, and Related Programs Appropriations Act, 2020\n\nThis bill provides FY2020 appropriations for the Department of State, foreign operations, and related programs.\n\nThe bill provides appropriations to the State Department for\n\n Administration of Foreign Affairs, International Organizations, and International Commissions. The bill provides appropriations for Related Agencies and Related Programs, including\n\n the U.S. Agency for Global Media, the Asia Foundation, the U.S. Institute of Peace, the Center for Middle Eastern-Western Dialogue Trust Fund, the Eisenhower Exchange Fellowship Program, the Israeli Arab Scholarship Program, the East-West Center, and the National Endowment for Democracy. The bill provides appropriations for Other Commissions, including\n\n the Commission for the Preservation of America's Heritage Abroad, the U.S. Commission on International Religious Freedom, the Commission on Security and Cooperation in Europe, the Congressional-Executive Commission on the People's Republic of China, the U.S.-China Economic and Security Review Commission, and the Western Hemisphere Drug Policy Commission. The bill provides appropriations to\n\n the U.S. Agency for International Development (USAID), the State Department and the President for International Security Assistance, the President and International Financial Institutions for Multilateral Assistance, and specified accounts for Overseas Contingency Operations/ Global War on Terrorism. The bill provides appropriations for Bilateral Economic Assistance to\n\n the President; the State Department; Independent Agencies, including the Peace Corps, the Millennium Challenge Corporation, the Inter-American Foundation, and the U.S. African Development Foundation; and the Department of the Treasury. The bill provides appropriations for Export and Investment Assistance to\n\n the Export-Import Bank of the United States, the U.S. International Development Finance Corporation, and the U.S. Trade and Development Agency. The bill sets forth requirements and restrictions for using funds provided by this and other appropriations Acts.\ncompany_name: Air Transport Services Group, Inc.\ncompany_description: leases aircraft and provides airline operations, ground services, aircraft modification and maintenance services, and other support services to the air transportation and logistics industries. Through the Company's subsidiaries, we offer a range of complementary services to delivery businesses, freight forwarders, airlines and government c
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{"example_id": 2363, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2363\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To require the purchase of domestically made flags of the United States of America for use by the Federal Government.\nbill_summary: All-American Flag Act\n\nThis bill prohibits agencies from using funds to procure a U.S. flag unless such flag has been manufactured in the United States from materials that have been U.S. grown, produced, or manufactured. The bill specifies exceptions to this prohibition, including an exception if flags of satisfactory quality and sufficient quantity cannot be procured as needed at market prices.\ncompany_name: United Airlines Holdings, Inc.\ncompany_description: As UAL consolidates United for financial statement purposes, disclosures that relate to activities of United also apply to UAL, unless otherwise noted. The Company transports people and cargo through its mainline and regional operations. With key global aviation rights in North America, Asia-Pacific, Europe, Middle East and Latin America, UAL has the worlds most comprehensive global route network. UAL, through United and its regional carriers, operates more than 4,500 flights a day to 338 airports across five continents, with hubs at Newark Liberty International Airport (Newark), Chicago OHare International Airport (Chicago OHare), The hub and spoke system allows us to transport passengers between a large number of destinations with substantially more frequent service than if each route were served directly. The 3 hub system also allows us to add service to a new destination from a large number of cities using only one or a limited number of aircraft. As discussed under Alliances below, United is a member of Star Alliance, the worlds largest alliance network. The Company has contractual relationships with various regional carriers to provide regional aircraft service branded as United Express. This regional service complements our operations by carrying traffic that connects to our mainline service and allows flights to smaller cities that cannot be provided economically with mainline aircraft. Republic Airlines (Republic), Champlain Enterprises, LLC d/b/a CommutAir (CommutAir), ExpressJet Airlines (ExpressJet), GoJet Airlines (GoJet), Mesa Airlines (Mesa), SkyWest Airlines (SkyWest), Air Wisconsin Airlines (Air Wisconsin), and Trans States Airlines (Trans States) are all regional carriers that operate with capacity contracted to United under capacity purchase agreements (CPAs). Under these CPAs, the Company pays the regional carriers contractually agreed fees (carrier costs) for operating these flights plus a variable reimbursement (incentive payment for operational performance) based on agreed performance metrics, subject to annual inflation adjustment
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{"example_id": 2363, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2363\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To require the purchase of domestically made flags of the United States of America for use by the Federal Government.\nbill_summary: All-American Flag Act\n\nThis bill prohibits agencies from using funds to procure a U.S. flag unless such flag has been manufactured in the United States from materials that have been U.S. grown, produced, or manufactured. The bill specifies exceptions to this prohibition, including an exception if flags of satisfactory quality and sufficient quantity cannot be procured as needed at market prices.\ncompany_name: United Airlines Holdings, Inc.\ncompany_description: As UAL consolidates United for financial statement purposes, disclosures that relate to activities of United also apply to UAL, unless otherwise noted. The Company transports people and cargo through its mainline and regional operations. With key global aviation rights in North America, Asia-Pacific, Europe, Middle East and Latin America, UAL has the worlds most comprehensive global route network. UAL, through United and its regional carriers, operates more than 4,500 flights a day to 338 airports across five continents, with hubs at Newark Liberty International Airport (Newark), Chicago OHare International Airport (Chicago OHare), The hub and spoke system allows us to transport passengers between a large number of destinations with substantially more frequent service than if each route were served directly. The 3 hub system also allows us to add service to a new destination from a large number of cities using only one or a limited number of aircraft. As discussed under Alliances below, United is a member of Star Alliance, the worlds largest alliance network. The Company has contractual relationships with various regional carriers to provide regional aircraft service branded as United Express. This regional service complements our operations by carrying traffic that connects to our mainline service and allows flights to smaller cities that cannot be provided economically with mainline aircraft. Republic Airlines (Republic), Champlain Enterprises, LLC d/b/a CommutAir (CommutAir), ExpressJet Airlines (ExpressJet), GoJet Airlines (GoJet), Mesa Airlines (Mesa), SkyWest Airlines (SkyWest), Air Wisconsin Airlines (Air Wisconsin), and Trans States Airlines (Trans States) are all regional carriers that operate with capacity contracted to United under capacity purchase agreements (CPAs). Under these CPAs, the Company pays the regional carriers contractually agreed fees (carrier costs) for operating these flights plus a variable reimbursement (incentive payment for operational performance) based on agreed performance metrics, subject to annual inflation adjustment
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{"example_id": 1933, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1933\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals with respect to the decisions by the Minister of National Revenue that the 39 workers listed in Schedule A of the attached reasons for judgment were employed by the Appellant in insurable and pensionable employment during the relevant periods, and with respect to the consequential assessments made under the Employment Insurance Act and the Canada Pension Plan, are dismissed, without costs, and the Ministers decisions are confirmed in accordance with the attached reasons for judgment.\nSigned at Toronto, Ontario, this 8th day of November 2013.\nRobert J. Hogan\nHogan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1933_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1933, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1933\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals with respect to the decisions by the Minister of National Revenue that the 39 workers listed in Schedule A of the attached reasons for judgment were employed by the Appellant in insurable and pensionable employment during the relevant periods, and with respect to the consequential assessments made under the Employment Insurance Act and the Canada Pension Plan, are dismissed, without costs, and the Ministers decisions are confirmed in accordance with the attached reasons for judgment.\nSigned at Toronto, Ontario, this 8th day of November 2013.\nRobert J. Hogan\nHogan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1933_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1933_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeals with respect to the decisions by the Minister of National Revenue that 39 workers listed in Schedule A were employed by the Appellant in insurable and pensionable employment during the relevant periods are dismissed.\",\n \"The appeals with respect to the consequential assessments made under the Employment Insurance Act and the Canada Pension Plan are dismissed.\",\n \"The appeals are dismissed without costs.\",\n \"The Ministers decisions are confirmed in accordance with the attached reasons for judgment.\",\n \"The decision was signed at Toronto, Ontario, on November 8, 2013 by Justice Robert J. Hogan.\"\n ],\n \"missing_info\": [\n \"The specific reasons for judgment are not provided.\",\n \"The identity of the Appellant is not given.\",\n \"The relevant periods are not specified.\"\n ],\n \"context_summary\": \"A Canadian Tax Court decision dismissing appeals regarding the employment status of 39 workers for insurable and pensionable employment under the Employment Insurance Act and Canada Pension Plan, without costs, and confirming the Minister's decisions.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1933_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1933, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1933\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals with respect to the decisions by the Minister of National Revenue that the 39 workers listed in Schedule A of the attached reasons for judgment were employed by the Appellant in insurable and pensionable employment during the relevant periods, and with respect to the consequential assessments made under the Employment Insurance Act and the Canada Pension Plan, are dismissed, without costs, and the Ministers decisions are confirmed in accordance with the attached reasons for judgment.\nSigned at Toronto, Ontario, this 8th day of November 2013.\nRobert J. Hogan\nHogan J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1933_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1933_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeals with respect to the decisions by the Minister of National Revenue that 39 workers listed in Schedule A were employed by the Appellant in insurable and pensionable employment during the relevant periods are dismissed.\",\n \"The appeals with respect to the consequential assessments made under the Employment Insurance Act and the Canada Pension Plan are dismissed.\",\n \"The appeals are dismissed without costs.\",\n \"The Ministers decisions are confirmed in accordance with the attached reasons for judgment.\",\n \"The decision was signed at Toronto, Ontario, on November 8, 2013 by Justice Robert J. Hogan.\"\n ],\n \"missing_info\": [\n \"The specific reasons for judgment are not provided.\",\n \"The identity of the Appellant is not given.\",\n \"The relevant periods are not specified.\"\n ],\n \"context_summary\": \"A Canadian Tax Court decision dismissing appeals regarding the employment status of 39 workers for insurable and pensionable employment under the Employment Insurance Act and Canada Pension Plan, without costs, and confirming the Minister's decisions.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1933_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1933_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeals regarding employment insurability and pensionability of 39 workers are dismissed without costs.\",\n \"Decided by Judge Hogan on November 8, 2013.\",\n \"Minister's decisions are
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{"example_id": 724, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 724\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe dissent itself recognizes the relevance of formality to the testimonial inquiry when it notes the formality of the problematic unconfronted statements in Sir Walter Raleigh’s trial.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_724_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 724, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 724\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe dissent itself recognizes the relevance of formality to the testimonial inquiry when it notes the formality of the problematic unconfronted statements in Sir Walter Raleigh’s trial.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_724_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_724_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as 'Yes' if it directly states or defines a legal principle or term; otherwise 'No'.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text contains a direct statement or definition of a legal principle or term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text discusses a dissent's recognition of formality's relevance to the testimonial inquiry, but does not state or define any legal principle or term.\"\n }\n ],\n \"conclusion_logic\": \"If the element 'text states a legal definition' is satisfied, then label Yes; otherwise, label No.\",\n \"uncertainty_notes\": [\n \"The exact definition to be classified is not provided in the context, so the rule is inferred from typical task structure.\"\n ],\n \"confidence\": 0.7\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_724_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 724, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 724\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe dissent itself recognizes the relevance of formality to the testimonial inquiry when it notes the formality of the problematic unconfronted statements in Sir Walter Raleigh’s trial.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_724_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_724_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as 'Yes' if it directly states or defines a legal principle or term; otherwise 'No'.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text contains a direct statement or definition of a legal principle or term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text discusses a dissent's recognition of formality's relevance to the testimonial inquiry, but does not state or define any legal principle or term.\"\n }\n ],\n \"conclusion_logic\": \"If the element 'text states a legal definition' is satisfied, then label Yes; otherwise, label No.\",\n \"uncertainty_notes\": [\n \"The exact definition to be classified is not provided in the context, so the rule is inferred from typical task structure.\"\n ],\n \"confidence\": 0.7\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_724_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_724_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text references a dissent that discusses formality and testimonial inquiry in Sir Walter Raleigh's trial\",\n \"The text is presented as a possible instance of a definition or concept\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text exemplifies the definition or concept being tested\",\n \"Degree of alignment between text content and the definition's criteria\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require evaluating if a text matches a given definition\",\n \"The specific definition or concept is not provided here\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the definition or concept being tested\",\n \"The text is an example rather than the definition itself\"\n ],\
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{"example_id": 2778, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2778\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: i. Bing and MSN Materials. The articles, text, photos, maps, videos, video players, and third-party material available on Bing and MSN, including through Microsoft bots, applications and programs, are for your noncommercial, personal use only. Other uses, including downloading, copying, or redistributing these materials, or using these materials or products to build your own products, are permitted only to the extent specifically authorized by Microsoft or rights holders, or allowed by applicable copyright law. Microsoft or other rights holders reserve all rights to the material not expressly granted by Microsoft under the license terms, whether by implication, estoppel, or otherwise.\nii. Bing Maps. You may not use Birds eye imagery of the United States, Canada, Mexico, New Zealand, Australia or Japan for governmental use without our separate written approval.\niii. Bing Places and Bing Manufacturer Center. When you provide your Data or Your Content to Bing Places or Bing Manufacturer Center, you grant Microsoft a worldwide, royalty-free intellectual property license to use, reproduce, save, modify, aggregate, promote, transmit, display or distribute as part of a service, and sub-license those rights to third parties.\nquestion: Do the terms generally permit using Bing and MSN content for business activities?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2778_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2778, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2778\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: i. Bing and MSN Materials. The articles, text, photos, maps, videos, video players, and third-party material available on Bing and MSN, including through Microsoft bots, applications and programs, are for your noncommercial, personal use only. Other uses, including downloading, copying, or redistributing these materials, or using these materials or products to build your own products, are permitted only to the extent specifically authorized by Microsoft or rights holders, or allowed by applicable copyright law. Microsoft or other rights holders reserve all rights to the material not expressly granted by Microsoft under the license terms, whether by implication, estoppel, or otherwise.\nii. Bing Maps. You may not use Birds eye imagery of the United States, Canada, Mexico, New Zealand, Australia or Japan for governmental use without our separate written approval.\niii. Bing Places and Bing Manufacturer Center. When you provide your Data or Your Content to Bing Places or Bing Manufacturer Center, you grant Microsoft a worldwide, royalty-free intellectual property license to use, reproduce, save, modify, aggregate, promote, transmit, display or distribute as part of a service, and sub-license those rights to third parties.\nquestion: Do the terms generally permit using Bing and MSN content for business activities?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2778_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2778_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The contract states content is for noncommercial, personal use only.\",\n \"Other uses, including commercial ones, are permitted only if specifically authorized or allowed by law.\",\n \"No blanket permission for business activities is given.\"\n ],\n \"task_type\": \"contract_interpretation\",\n \"decision_factors\": [\n \"Whether the contract explicitly permits commercial use or not.\",\n \"Whether the default restriction to noncommercial use applies.\",\n \"Whether any exceptions (authorization or copyright law) could allow commercial use.\"\n ],\n \"knowledge_slots\": [\n \"Contract interpretation: express permission required for commercial use if restricted to personal use.\",\n \"Default rule that noncommercial clause limits use unless otherwise stated.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"T
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{"example_id": 698, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 698\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo use a familiar example, under the federal parole system in place until the enactment of the Sentencing Guidelines, an inmate could not be released on parole unless he established that his “release would not jeopardize the public welfare.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_698_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 698, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 698\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo use a familiar example, under the federal parole system in place until the enactment of the Sentencing Guidelines, an inmate could not be released on parole unless he established that his “release would not jeopardize the public welfare.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_698_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_698_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes a federal parole system requirement that release would not jeopardize public welfare.\",\n \"The text is presented as a familiar example under the old system before Sentencing Guidelines.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text exemplifies a specific legal definition (unknown here) or is a straightforward statement of a rule.\",\n \"The presence of a conditional phrase ('could not be released unless') indicating a threshold condition.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require matching a text to a predefined definition or category.\",\n \"Legal definitions often specify elements or conditions that must be met.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the target definition because it is merely an example of a rule, not the definition itself.\"\n ],\n \"less_relevant_if\": [\n \"The definition in question is so broad that a specific historical rule qualifies.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text matches the target definition by illustrating the required element of 'public welfare' consideration.\"\n ],\n \"less_relevant_if\": [\n \"The definition requires a different structure or content not present in the text.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or category that the text is being classified against.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2704, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2704\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: The community has the primary role in creating and enforcing policies applying to the different Project editions. At the Wikimedia Foundation, we rarely intervene in community decisions about policy and its enforcement. In an unusual case, the need may arise, or the community may ask us, to address an especially problematic user because of significant Project disturbance or dangerous behavior. In such cases, we reserve the right, but do not have the obligation to:\nInvestigate your use of the service (a) to determine whether a violation of these Terms of Use, Project edition policy, or other applicable law or policy has occurred, or (b) to comply with any applicable law, legal process, or appropriate governmental request;\nDetect, prevent, or otherwise address fraud, security, or technical issues or respond to user support requests;\nRefuse, disable, or restrict access to the contribution of any user who violates these Terms of Use;\nBan a user from editing or contributing or block a user's account or access for actions violating these Terms of Use, including repeat copyright infringement;\nTake legal action against users who violate these Terms of Use (including reports to law enforcement authorities); and\nManage otherwise the Project websites in a manner designed to facilitate their proper functioning and protect the rights, property, and safety of ourselves and our users, licensors, partners, and the public.\n\nIn the interests of our users and the Projects, in the extreme circumstance that any individual has had his or her account or access blocked under this provision, he or she is prohibited from creating or using another account on or seeking access to the same Project, unless we provide explicit permission. Without limiting the authority of the community, the Wikimedia Foundation itself will not ban a user from editing or contributing or block a user's account or access solely because of good faith criticism that does not result in actions otherwise violating these Terms of Use or community policies.\n\nThe Wikimedia community and its members may also take action when so allowed by the community or Foundation policies applicable to the specific Project edition, including but not limited to warning, investigating, blocking, or banning users who violate those policies. You agree to comply with the final decisions of dispute resolution bodies that are established by the community for the specific Project editions (such as arbitration committees); these decisions may include sanctions as set out by the policy of the specific Project edition.\n\nEspecially problematic users who have had accounts or access blocked on multiple Project editions may be subject to a ban from all of the Project ed
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{"example_id": 2704, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2704\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: The community has the primary role in creating and enforcing policies applying to the different Project editions. At the Wikimedia Foundation, we rarely intervene in community decisions about policy and its enforcement. In an unusual case, the need may arise, or the community may ask us, to address an especially problematic user because of significant Project disturbance or dangerous behavior. In such cases, we reserve the right, but do not have the obligation to:\nInvestigate your use of the service (a) to determine whether a violation of these Terms of Use, Project edition policy, or other applicable law or policy has occurred, or (b) to comply with any applicable law, legal process, or appropriate governmental request;\nDetect, prevent, or otherwise address fraud, security, or technical issues or respond to user support requests;\nRefuse, disable, or restrict access to the contribution of any user who violates these Terms of Use;\nBan a user from editing or contributing or block a user's account or access for actions violating these Terms of Use, including repeat copyright infringement;\nTake legal action against users who violate these Terms of Use (including reports to law enforcement authorities); and\nManage otherwise the Project websites in a manner designed to facilitate their proper functioning and protect the rights, property, and safety of ourselves and our users, licensors, partners, and the public.\n\nIn the interests of our users and the Projects, in the extreme circumstance that any individual has had his or her account or access blocked under this provision, he or she is prohibited from creating or using another account on or seeking access to the same Project, unless we provide explicit permission. Without limiting the authority of the community, the Wikimedia Foundation itself will not ban a user from editing or contributing or block a user's account or access solely because of good faith criticism that does not result in actions otherwise violating these Terms of Use or community policies.\n\nThe Wikimedia community and its members may also take action when so allowed by the community or Foundation policies applicable to the specific Project edition, including but not limited to warning, investigating, blocking, or banning users who violate those policies. You agree to comply with the final decisions of dispute resolution bodies that are established by the community for the specific Project editions (such as arbitration committees); these decisions may include sanctions as set out by the policy of the specific Project edition.\n\nEspecially problematic users who have had accounts or access blocked on multiple Project editions may be subject to a ban from all of the Project ed
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{"example_id": 172, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 172\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAnd “violence,” when used in a legal context, also implies an intentional act. See Black's Law Dictionary 1564 (“violence” is the “[u]njust or unwarranted use of force, usu. accompanied by fury, vehemence, or outrage; physical force unlawfully exercised with the intent to harm”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_172_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 172, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 172\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAnd “violence,” when used in a legal context, also implies an intentional act. See Black's Law Dictionary 1564 (“violence” is the “[u]njust or unwarranted use of force, usu. accompanied by fury, vehemence, or outrage; physical force unlawfully exercised with the intent to harm”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_172_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_172_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines 'violence' in a legal context as implying an intentional act.\",\n \"The definition is sourced from Black's Law Dictionary, which describes violence as unjust or unwarranted use of force, usually accompanied by fury, vehemence, or outrage; physical force unlawfully exercised with the intent to harm.\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for the labels 'Yes' and 'No' are not provided.\",\n \"The intended standard for determining whether the text qualifies as a definition is not given.\"\n ],\n \"context_summary\": \"The text defines 'violence' in a legal context as an intentional act, citing Black's Law Dictionary. The definition includes elements of unjust use of force with intent to harm.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_172_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 172, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 172\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAnd “violence,” when used in a legal context, also implies an intentional act. See Black's Law Dictionary 1564 (“violence” is the “[u]njust or unwarranted use of force, usu. accompanied by fury, vehemence, or outrage; physical force unlawfully exercised with the intent to harm”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_172_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_172_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines 'violence' in a legal context as implying an intentional act.\",\n \"The definition is sourced from Black's Law Dictionary, which describes violence as unjust or unwarranted use of force, usually accompanied by fury, vehemence, or outrage; physical force unlawfully exercised with the intent to harm.\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for the labels 'Yes' and 'No' are not provided.\",\n \"The intended standard for determining whether the text qualifies as a definition is not given.\"\n ],\n \"context_summary\": \"The text defines 'violence' in a legal context as an intentional act, citing Black's Law Dictionary. The definition includes elements of unjust use of force with intent to harm.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_172_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_172_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'violence' using Black's Law Dictionary\",\n \"Definition includes 'unjust or unwarranted use of force'\",\n \"Definition states 'implies an intentional act'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a precise definition of a term\",\n \"Whether the text cites a legal source (dictionary)\",\n \"Whether the text uses descriptive language typical of a definition\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions often specify elements or intent\",\n \"Definition classification tasks assess if text matches definition format\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not follow standard definition structure\",\n \"Text is a narrative or argument rather than a definition\"\n
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{"example_id": 461, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 461\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis commonsense principle of construction is sometimes referred to as the canon of ejusdem generis: “[W]hen a general word or phrase follows a list of specific persons or things, the general word or phrase will be interpreted to include only persons or things of the same type as those listed.” Black's Law Dictionary 535 (7th ed. 1999) (Black's); see, e.g., Washington State Dept. of Social and Health Servs. v. Guardianship Estate of Keffeler, 537 U.S. 371, 384–385, 123 S.Ct. 1017, 154 L.Ed.2d 972 (2003).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_461_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 461, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 461\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis commonsense principle of construction is sometimes referred to as the canon of ejusdem generis: “[W]hen a general word or phrase follows a list of specific persons or things, the general word or phrase will be interpreted to include only persons or things of the same type as those listed.” Black's Law Dictionary 535 (7th ed. 1999) (Black's); see, e.g., Washington State Dept. of Social and Health Servs. v. Guardianship Estate of Keffeler, 537 U.S. 371, 384–385, 123 S.Ct. 1017, 154 L.Ed.2d 972 (2003).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_461_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_461_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is a definition if it explicitly states the meaning of a term or concept, often with explanatory language and examples.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text identifies a specific term or concept being defined.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text refers to 'the canon of ejusdem generis' and 'general word or phrase' and 'list of specific persons or things'.\"\n },\n {\n \"element\": \"Text provides a meaning or explanation of that term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'when a general word or phrase follows a list of specific persons or things, the general word or phrase will be interpreted to include only persons or things of the same type as those listed.'\"\n },\n {\n \"element\": \"Text uses definitional language (e.g., 'is', 'means', 'refers to', 'interpreted to include').\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text uses 'will be interpreted to include only' and cites Black's Law Dictionary and a Supreme Court case.\"\n },\n {\n \"element\": \"Text is not merely a citation or application of a rule without explanation.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text first states the principle in its own words before citing cases.\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a term and provides its meaning with explanatory language and examples, then it is a definition; if it lacks any of these elements, it is not a definition.\",\n \"uncertainty_notes\": [],\n \"con
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{"example_id": 461, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 461\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis commonsense principle of construction is sometimes referred to as the canon of ejusdem generis: “[W]hen a general word or phrase follows a list of specific persons or things, the general word or phrase will be interpreted to include only persons or things of the same type as those listed.” Black's Law Dictionary 535 (7th ed. 1999) (Black's); see, e.g., Washington State Dept. of Social and Health Servs. v. Guardianship Estate of Keffeler, 537 U.S. 371, 384–385, 123 S.Ct. 1017, 154 L.Ed.2d 972 (2003).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_461_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_461_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is a definition if it explicitly states the meaning of a term or concept, often with explanatory language and examples.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text identifies a specific term or concept being defined.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text refers to 'the canon of ejusdem generis' and 'general word or phrase' and 'list of specific persons or things'.\"\n },\n {\n \"element\": \"Text provides a meaning or explanation of that term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states that 'when a general word or phrase follows a list of specific persons or things, the general word or phrase will be interpreted to include only persons or things of the same type as those listed.'\"\n },\n {\n \"element\": \"Text uses definitional language (e.g., 'is', 'means', 'refers to', 'interpreted to include').\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text uses 'will be interpreted to include only' and cites Black's Law Dictionary and a Supreme Court case.\"\n },\n {\n \"element\": \"Text is not merely a citation or application of a rule without explanation.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text first states the principle in its own words before citing cases.\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a term and provides its meaning with explanatory language and examples, then it is a definition; if it lacks any of these elements, it is not a definition.\",\n \"uncertainty_notes\": [],\n \"con
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{"example_id": 699, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 699\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA witness’s testimony against a defendant is thus inadmissible unless the witness appears at trial or, if the witness is unavailable, the defendant had a prior opportunity for cross-examination.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_699_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 699, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 699\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nA witness’s testimony against a defendant is thus inadmissible unless the witness appears at trial or, if the witness is unavailable, the defendant had a prior opportunity for cross-examination.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_699_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_699_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Testimony is inadmissible unless witness appears at trial or was unavailable with prior cross-examination opportunity\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text states a condition for admissibility or inadmissibility\",\n \"Whether the text has the form of a definition (e.g., 'is X unless Y')\",\n \"Whether the text matches common law rules like Hearsay Rule 801(c)\"\n ],\n \"knowledge_slots\": [\n \"Hearsay rule: testimony is inadmissible unless witness appears or prior cross-examination available\",\n \"Legal definitions often use 'is X unless Y' structure\",\n \"Definition classification tasks check if text matches a given legal definition\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text appears to define a rule but with logical structure that might not match the target definition\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'inadmissible unless' which is equivalent to 'admissible if' - consider if the target definition uses similar phrasing\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text directly states a condition for admissibility that aligns with the target definition\"\n ],\n \"less_relevant_if\": [\n \"The text could be interpreted as a statement about what is inadmissible rather than a definition of a category\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific legal definition that the text is being classified against (e.g., 'definition of prosecutorial theory' vs 'definition of hearsay')\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 635, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 635\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAmong the most common definitions of mens rea is “criminal intent.” Black's Law Dictionary 1137 (rev. 4th ed.1968). That dictionary unsurprisingly defines “purpose” as synonymous with intent, id., at 1400, and “intent” as, among other things, “a state of mind,” id., at 947.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_635_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 635, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 635\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAmong the most common definitions of mens rea is “criminal intent.” Black's Law Dictionary 1137 (rev. 4th ed.1968). That dictionary unsurprisingly defines “purpose” as synonymous with intent, id., at 1400, and “intent” as, among other things, “a state of mind,” id., at 947.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_635_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_635_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses definitions of mens rea, quoting Black's Law Dictionary.\",\n \"Text defines 'purpose' as synonymous with intent and 'intent' as a state of mind.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily explains the meaning of a legal term.\",\n \"Whether the text cites a standard legal reference work.\",\n \"Whether the text provides a clear definition or merely discusses concepts.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks assess if a text provides a definition of a term.\",\n \"Legal definitions often specify the meaning or scope of a term.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not provide an explicit definition but rather explores implications.\",\n \"The text is more about application than about defining terms.\"\n ],\n \"less_relevant_if\": [\n \"The text directly states what a term means using a dictionary.\",\n \"The text centers on defining concepts with references to a legal dictionary.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text offers explicit definitions from a recognized legal source.\",\n \"The text focuses on stating what 'intent' and 'purpose' are.\"\n ],\n \"less_relevant_if\": [\n \"The text is primarily about other aspects of mens rea not directly defining.\",\n \"The text lacks direct quotes or statements defining a term.\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1038, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1038\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nDefense counsel alleged that the prosecutor “had no apparent reason to challenge this prospective juror ‘other than [her] racial identity.’ ” Ibid, (alteration in original).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1038_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1038, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1038\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nDefense counsel alleged that the prosecutor “had no apparent reason to challenge this prospective juror ‘other than [her] racial identity.’ ” Ibid, (alteration in original).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1038_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1038_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Defense counsel alleges prosecutor challenged juror based on racial identity\",\n \"Text mentions 'no apparent reason other than racial identity'\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text indicates a discriminatory reason for juror challenge\",\n \"Whether the text explicitly states that race was the sole or primary factor\"\n ],\n \"knowledge_slots\": [\n \"Race discrimination in prosecutorial jury challenges\",\n \"Legal standards for evaluating discriminatory intent in jury selection\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not demonstrate racial discrimination or is ambiguous\",\n \"The allegation is weak or lacks specific factual support\"\n ],\n \"less_relevant_if\": [\n \"The text clearly states racial motive as the only reason\",\n \"There is evidence corroborating the defense claim\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text explicitly asserts that race was the determining factor\",\n \"The language implies lack of other legitimate reasons for the challenge\"\n ],\n \"less_relevant_if\": [\n \"The text is incomplete or lacks context about the prosecutor's actual reasons\",\n \"The allegation is disputed without concrete counter-evidence\"\n ]\n }\n ],\n \"missing_information\": [\n \"Full context of the trial or additional evidence about the prosecutor's motives\",\n \"Whether other valid reasons for challenging the juror exist\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 412, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 412\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n“Corrupt” and “corruptly” are normally associated with wrongful, immoral, depraved, or evil. See Black's 371; Webster's 3d 512; Am. Hert. 299–300.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_412_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 412, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 412\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n“Corrupt” and “corruptly” are normally associated with wrongful, immoral, depraved, or evil. See Black's 371; Webster's 3d 512; Am. Hert. 299–300.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_412_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_412_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines 'Corrupt' and 'Corruptly' as normally associated with wrongful, immoral, depraved, or evil.\",\n \"The text cites Black's Law Dictionary (371), Webster's Third New International Dictionary (512), and American Heritage Dictionary (299–300).\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for the task (e.g., what constitutes a definition in this context) are not provided.\",\n \"The intended label space (e.g., 'Definition' vs. 'Not a definition') is not specified beyond 'Yes' and 'No'.\"\n ],\n \"context_summary\": \"The text defines the words 'Corrupt' and 'Corruptly' using dictionary sources, describing them as associated with wrongful, immoral, depraved, or evil connotations.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_412_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 412, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 412\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n“Corrupt” and “corruptly” are normally associated with wrongful, immoral, depraved, or evil. See Black's 371; Webster's 3d 512; Am. Hert. 299–300.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_412_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_412_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines 'Corrupt' and 'Corruptly' as normally associated with wrongful, immoral, depraved, or evil.\",\n \"The text cites Black's Law Dictionary (371), Webster's Third New International Dictionary (512), and American Heritage Dictionary (299–300).\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for the task (e.g., what constitutes a definition in this context) are not provided.\",\n \"The intended label space (e.g., 'Definition' vs. 'Not a definition') is not specified beyond 'Yes' and 'No'.\"\n ],\n \"context_summary\": \"The text defines the words 'Corrupt' and 'Corruptly' using dictionary sources, describing them as associated with wrongful, immoral, depraved, or evil connotations.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_412_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_412_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'corrupt' and 'corruptly' using adjectives like wrongful, immoral, depraved, evil.\",\n \"Cites multiple dictionaries and a heritage dictionary.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a standard definition of the terms\",\n \"Whether the text uses authoritative sources\",\n \"Whether the text focuses on connotation rather than legal or specific usage\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks assess if a text defines a term, often citing sources.\",\n \"Legal definition classification may require specific format or formal language.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not meet criteria for a definition (e.g., too short, not a definition)\",\n \"The text is merely a commentary or usage note\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines the terms with citations\",\n
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{"example_id": 949, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 949\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee Mathews v. Eldridge, 424 U. S. 319 (1976); Patterson v. New York, 432 U. S. 197 (1977); cf.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_949_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 949, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 949\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee Mathews v. Eldridge, 424 U. S. 319 (1976); Patterson v. New York, 432 U. S. 197 (1977); cf.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_949_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_949_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as a definition if it explains the meaning of a term or concept, typically using copulative verbs like 'is' or 'means'.\",\n \"source\": \"LegalBench definition_classification task guidelines (inferred)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a definition indicator (e.g., 'is', 'means', 'refers to', 'denotes').\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text 'See Mathews v. Eldridge, 424 U. S. 319 (1976); Patterson v. New York, 432 U. S. 197 (1977); cf.' consists solely of citation references without any definitional language.\"\n },\n {\n \"element\": \"Text provides a meaning or explanation of a term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not explain any term; it merely cites legal cases.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains definitional language (e.g., 'is' or 'means') or explains a concept, then the appropriate label is Yes; otherwise, if the text is purely referencing cases or other non-definitional content, the label is No.\",\n \"uncertainty_notes\": [\n \"The specific definition used in the task is not provided; the rule is inferred from the task name and typical classification criteria.\",\n \"The text is clearly non-definitional, so there is little uncertainty about the classification.\"\n ],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_949_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 949, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 949\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee Mathews v. Eldridge, 424 U. S. 319 (1976); Patterson v. New York, 432 U. S. 197 (1977); cf.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_949_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_949_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as a definition if it explains the meaning of a term or concept, typically using copulative verbs like 'is' or 'means'.\",\n \"source\": \"LegalBench definition_classification task guidelines (inferred)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains a definition indicator (e.g., 'is', 'means', 'refers to', 'denotes').\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text 'See Mathews v. Eldridge, 424 U. S. 319 (1976); Patterson v. New York, 432 U. S. 197 (1977); cf.' consists solely of citation references without any definitional language.\"\n },\n {\n \"element\": \"Text provides a meaning or explanation of a term.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text does not explain any term; it merely cites legal cases.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains definitional language (e.g., 'is' or 'means') or explains a concept, then the appropriate label is Yes; otherwise, if the text is purely referencing cases or other non-definitional content, the label is No.\",\n \"uncertainty_notes\": [\n \"The specific definition used in the task is not provided; the rule is inferred from the task name and typical classification criteria.\",\n \"The text is clearly non-definitional, so there is little uncertainty about the classification.\"\n ],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_949_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_949_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text includes legal citation references (Mathews v. Eldridge, 424 U. S. 319 (1976); Patterson v. New York, 432 U. S. 197 (1977))\",\n \"Text ends with 'cf.' indicating citation to a related case not decided by the Supreme Court\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly defines a term or concept\",\n \"Whether the text is primarily descriptive of a
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{"example_id": 1987, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1987\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Pittman-Robertson Wildlife Restoration Act to modernize the funding of wildlife conservation, and for other purposes.\nbill_summary: Modernizing the Pittman-Robertson Fund for Tomorrow's Needs Act\n\nThis bill revises provisions of the Pittman-Robertson Wildlife Restoration Act relating to the funding of wildlife conservation. Specifically, the bill\n\n adds new definitions, including a definition of hunter recruitment and recreational shooter recruitment; apportions to states revenues from taxes on pistols, revolvers, bows, and arrows at a rate not greater than 3% and not less than 1% of such revenues; removes the existing prohibition in the Act on public relations to allow spending by states for management of wildlife areas and promotion of hunting and recreational shooting; allows the use of grant funds for the enhancement of hunter recruitment and recreational shooter recruitment; and expands the Multistate Conservation Grant program by providing $5 million exclusively for making hunter and recreational shooter recruitment project grants that promote a national hunting and shooting sport recruitment program, including related communication and outreach activities. The Fish and Wildlife Service shall review and evaluate the effects of funds used for hunter and recreational shooter recruitment on funds available for wildlife conservation.\ncompany_name: Alphabet, Inc.\ncompany_description: That unconventional spirit has been a driving force throughout our history -- inspiring us to do things like rethink the mobile device ecosystem with Android and map the world with Google Maps. Alphabet is a collection of businesses -- the largest of which is Google. It also includes businesses that are generally pretty far afield of our main internet products in areas such as self-driving cars, life sciences, internet access and TV services. The Internet is one of the world's most powerful equalizers, capable of propelling new ideas and people forward. So whether you're a child in a rural village or a professor at an elite university, you can access the same information. We are helping people get online by tailoring digital experiences to the needs of emerging markets. For instance, our digital payments app in India, now called Google Pay, helps tens of millions of people and businesses easily pay with just a few taps. We're also making sure our core Google products are fast and useful, especially for users in areas where speed and connectivity are central concerns. For instance, Loon announced that it will bring its balloon-powered internet to regions of central Kenya, starting in 2019. People thought we were crazy when we acquired YouTube and Android and when we launched Chrome, but those ef
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{"example_id": 1987, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1987\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Pittman-Robertson Wildlife Restoration Act to modernize the funding of wildlife conservation, and for other purposes.\nbill_summary: Modernizing the Pittman-Robertson Fund for Tomorrow's Needs Act\n\nThis bill revises provisions of the Pittman-Robertson Wildlife Restoration Act relating to the funding of wildlife conservation. Specifically, the bill\n\n adds new definitions, including a definition of hunter recruitment and recreational shooter recruitment; apportions to states revenues from taxes on pistols, revolvers, bows, and arrows at a rate not greater than 3% and not less than 1% of such revenues; removes the existing prohibition in the Act on public relations to allow spending by states for management of wildlife areas and promotion of hunting and recreational shooting; allows the use of grant funds for the enhancement of hunter recruitment and recreational shooter recruitment; and expands the Multistate Conservation Grant program by providing $5 million exclusively for making hunter and recreational shooter recruitment project grants that promote a national hunting and shooting sport recruitment program, including related communication and outreach activities. The Fish and Wildlife Service shall review and evaluate the effects of funds used for hunter and recreational shooter recruitment on funds available for wildlife conservation.\ncompany_name: Alphabet, Inc.\ncompany_description: That unconventional spirit has been a driving force throughout our history -- inspiring us to do things like rethink the mobile device ecosystem with Android and map the world with Google Maps. Alphabet is a collection of businesses -- the largest of which is Google. It also includes businesses that are generally pretty far afield of our main internet products in areas such as self-driving cars, life sciences, internet access and TV services. The Internet is one of the world's most powerful equalizers, capable of propelling new ideas and people forward. So whether you're a child in a rural village or a professor at an elite university, you can access the same information. We are helping people get online by tailoring digital experiences to the needs of emerging markets. For instance, our digital payments app in India, now called Google Pay, helps tens of millions of people and businesses easily pay with just a few taps. We're also making sure our core Google products are fast and useful, especially for users in areas where speed and connectivity are central concerns. For instance, Loon announced that it will bring its balloon-powered internet to regions of central Kenya, starting in 2019. People thought we were crazy when we acquired YouTube and Android and when we launched Chrome, but those ef
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{"example_id": 2724, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2724\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: When listing an item for sale on our Services, you agree to comply with eBay's Listing policies and Selling practices policy and that:\n\nYou assume full responsibility for the item offered and the accuracy and content of the listing,\nYour listing may not be immediately searchable by keyword or category for several hours (or up to 24 hours in some circumstances). eBay can't guarantee exact listing duration,\nYour fixed-price listings may renew automatically every calendar month, based on the listing terms at the time, until all quantities sell or the listing is ended by you or eBay, in its sole discretion,\nContent that violates any of eBay's policies may be modified, obfuscated or deleted at eBay's sole discretion,\nWe may revise product data associated with listings to supplement, remove, or correct information,\nWe strive to create a marketplace where buyers find what they are looking for. Therefore, the appearance or placement of listings in search and browse results will depend on a variety of factors, including, but not limited to:\nbuyer's location, search query, browsing site, and history;\nitem's location, listing format, price and shipping cost, terms of service, end time, history, and relevance to the user query;\nseller's history, including listing practices, Detailed Seller Ratings, eBay policy compliance, Feedback, and defect rate; and\nnumber of listings matching the buyer's query,\nTo drive a positive user experience, a listing may not appear in some search and browse results regardless of the sort order chosen by the buyer,\nSome advanced listing upgrades will only be visible on some of our Services,\neBay's Duplicate listings Policy may also affect whether your listing appears in search results,\nMetatags and URL links that are included in a listing may be removed or altered so as to not affect third-party search engine results,\nWe may provide you with optional recommendations to consider when creating your listings. Such recommendations may be based on the aggregated sales and performance history of similar sold and current listings; results may vary for individual listings. To drive the recommendations experience, you agree that we may display the sales and performance history of your individual listings to other sellers,\nFor items listed in certain categories, subject to certain programs, and/or offered or sold at certain price points, eBay may require the use of certain payment methods, subject to our Payments methods policy. For example, for inventory covered by authentication services, buyer and sellers may be subject to escrow, screening, shipping, and/or payment handling requirements.\nquestion: Pursuant to the agreement, are there circumstances in which a listing ma
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{"example_id": 2724, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2724\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: When listing an item for sale on our Services, you agree to comply with eBay's Listing policies and Selling practices policy and that:\n\nYou assume full responsibility for the item offered and the accuracy and content of the listing,\nYour listing may not be immediately searchable by keyword or category for several hours (or up to 24 hours in some circumstances). eBay can't guarantee exact listing duration,\nYour fixed-price listings may renew automatically every calendar month, based on the listing terms at the time, until all quantities sell or the listing is ended by you or eBay, in its sole discretion,\nContent that violates any of eBay's policies may be modified, obfuscated or deleted at eBay's sole discretion,\nWe may revise product data associated with listings to supplement, remove, or correct information,\nWe strive to create a marketplace where buyers find what they are looking for. Therefore, the appearance or placement of listings in search and browse results will depend on a variety of factors, including, but not limited to:\nbuyer's location, search query, browsing site, and history;\nitem's location, listing format, price and shipping cost, terms of service, end time, history, and relevance to the user query;\nseller's history, including listing practices, Detailed Seller Ratings, eBay policy compliance, Feedback, and defect rate; and\nnumber of listings matching the buyer's query,\nTo drive a positive user experience, a listing may not appear in some search and browse results regardless of the sort order chosen by the buyer,\nSome advanced listing upgrades will only be visible on some of our Services,\neBay's Duplicate listings Policy may also affect whether your listing appears in search results,\nMetatags and URL links that are included in a listing may be removed or altered so as to not affect third-party search engine results,\nWe may provide you with optional recommendations to consider when creating your listings. Such recommendations may be based on the aggregated sales and performance history of similar sold and current listings; results may vary for individual listings. To drive the recommendations experience, you agree that we may display the sales and performance history of your individual listings to other sellers,\nFor items listed in certain categories, subject to certain programs, and/or offered or sold at certain price points, eBay may require the use of certain payment methods, subject to our Payments methods policy. For example, for inventory covered by authentication services, buyer and sellers may be subject to escrow, screening, shipping, and/or payment handling requirements.\nquestion: Pursuant to the agreement, are there circumstances in which a listing ma
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{"example_id": 1832, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1832\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the redeterminations dated August 20, 2014 made under the Income Tax Act for the 2011 and 2012 taxation years with respect to the Canada Child Tax Benefit are dismissed, without costs, on the basis that the Minister of National Revenue correctly determined that Ms. Gouskos was not eligible to receive the Canada Child Tax Benefit (CCTB) since her net family income exceeded the maximum income allowable for receiving the CCTB for both taxation years, 2011 and 2012.\nSigned at Ottawa, Canada, this 8th day of October 2020.\nJohanne DAuray\nDAuray J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1832_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1832, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1832\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the redeterminations dated August 20, 2014 made under the Income Tax Act for the 2011 and 2012 taxation years with respect to the Canada Child Tax Benefit are dismissed, without costs, on the basis that the Minister of National Revenue correctly determined that Ms. Gouskos was not eligible to receive the Canada Child Tax Benefit (CCTB) since her net family income exceeded the maximum income allowable for receiving the CCTB for both taxation years, 2011 and 2012.\nSigned at Ottawa, Canada, this 8th day of October 2020.\nJohanne DAuray\nDAuray J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1832_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1832_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeals from redeterminations dated August 20, 2014 are considered.\",\n \"The appeals relate to Canada Child Tax Benefit for 2011 and 2012 taxation years.\",\n \"The court finds the Minister's determination was correct that the appellant was not eligible due to net family income exceeding the limit.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit dismissal language in the text.\",\n \"Absence of allowance language.\",\n \"Phrase 'dismissed without costs' indicates outcome.\",\n \"The text concludes the appeals are dismissed.\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'dismissed' means the appeal is rejected; 'allowed' means the appeal is granted.\",\n \"The specific phrase 'dismissed without costs' confirms the outcome.\",\n \"Canadian tax court decisions often use explicit language about the outcome.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text contains language indicating the appeals are allowed or granted.\"],\n \"less_relevant_if\": [\"The text explicitly states dismissal, contradicting allowance.\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"The text contains clear language that the appeals are dismissed.\"],\n \"less_relevant_if\": [\"The text uses ambiguous or allowance language.\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"The text does not clearly indicate either allowed or dismissed.\"],\n \"less_relevant_if\": [\"The text explicitly states one of the two outcomes.\
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{"example_id": 804, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 804\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nVia the 1785 Compact, Article Seventh, both States promised the other rights to use the River that presuppose neither could exclude the other from the River.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_804_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 804, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 804\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nVia the 1785 Compact, Article Seventh, both States promised the other rights to use the River that presuppose neither could exclude the other from the River.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_804_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_804_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text refers to the 1785 Compact, Article Seventh.\",\n \"Both States promised rights to use the River.\",\n \"The rights presuppose that neither could exclude the other from the River.\",\n \"The text is a statement about a legal compact and river usage rights.\"\n ],\n \"missing_info\": [\n \"The specific definition or category being classified (e.g., what 'Yes' or 'No' represent in the classification task) is not provided.\",\n \"The criteria for classification (definition_classification) are not given.\"\n ],\n \"context_summary\": \"A legal text from the 1785 Compact stating that both states promised each other rights to use a river, presupposing neither could exclude the other.\",\n \"confidence\": 0.9\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_804_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 804, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 804\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nVia the 1785 Compact, Article Seventh, both States promised the other rights to use the River that presuppose neither could exclude the other from the River.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_804_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_804_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text refers to the 1785 Compact, Article Seventh.\",\n \"Both States promised rights to use the River.\",\n \"The rights presuppose that neither could exclude the other from the River.\",\n \"The text is a statement about a legal compact and river usage rights.\"\n ],\n \"missing_info\": [\n \"The specific definition or category being classified (e.g., what 'Yes' or 'No' represent in the classification task) is not provided.\",\n \"The criteria for classification (definition_classification) are not given.\"\n ],\n \"context_summary\": \"A legal text from the 1785 Compact stating that both states promised each other rights to use a river, presupposing neither could exclude the other.\",\n \"confidence\": 0.9\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_804_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_804_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes a 1785 Compact, Article Seventh, stating both States promised rights to use a River without exclusion.\",\n \"The text includes the phrase 'presuppose neither could exclude the other from the River'.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches the intended definition or classification criterion.\",\n \"Presence of language indicating mutual rights and absence of exclusion.\"\n ],\n \"knowledge_slots\": [\n \"Definition or criteria used for classification in this LegalBench task.\",\n \"Typical content of compact articles regarding river rights.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not satisfy the classification criteria.\",\n \"The definition is not present or is incorrectly identified.\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states the defined concept.\",\n \"The classification criterion is about mutual non-exc
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{"example_id": 220, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 220\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt reduces the value of a lienholder's equitable interest in a debtor's property to the property's liquidation value, but it does not insure the debtor an opportunity to “redeem” the property at that price, i.e., to “free [the] property ... from [the] mortgage or pledge by paying the debt for which it stood as security.” Black's Law Dictionary 1278 (6th ed. 1990).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_220_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 220, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 220\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt reduces the value of a lienholder's equitable interest in a debtor's property to the property's liquidation value, but it does not insure the debtor an opportunity to “redeem” the property at that price, i.e., to “free [the] property ... from [the] mortgage or pledge by paying the debt for which it stood as security.” Black's Law Dictionary 1278 (6th ed. 1990).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_220_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_220_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: compare the text's definitional statement to the target legal term's standard definition.\",\n \"source\": \"LegalBench definition_classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text must accurately describe the target legal term.\",\n \"satisfied\": \"unclear\",\n \"evidence\": \"The text provides a definition of a legal term (cutting the debt or lien), but the target term is not specified in the prompt.\"\n },\n {\n \"element\": \"The text must be a formal definition from a reliable source.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text is a direct quote from Black's Law Dictionary, sixth edition, with a specific definition of 'cutting the debt or lien'.\"\n }\n ],\n \"conclusion_logic\": \"If the target term is 'cutting the debt or lien', then the text satisfies the definitional criteria. If the target term is different, the text may not be applicable; the classification depends on the unknown target term.\",\n \"uncertainty_notes\": [\n \"The target legal term is not provided in the prompt, so the classification cannot be determined from the given information.\",\n \"The text is a self-contained definition, but without knowing the intended label, the output is speculative.\"\n ],\n \"confidence\": 0.15\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_220_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 220, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 220\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt reduces the value of a lienholder's equitable interest in a debtor's property to the property's liquidation value, but it does not insure the debtor an opportunity to “redeem” the property at that price, i.e., to “free [the] property ... from [the] mortgage or pledge by paying the debt for which it stood as security.” Black's Law Dictionary 1278 (6th ed. 1990).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_220_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_220_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: compare the text's definitional statement to the target legal term's standard definition.\",\n \"source\": \"LegalBench definition_classification task\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text must accurately describe the target legal term.\",\n \"satisfied\": \"unclear\",\n \"evidence\": \"The text provides a definition of a legal term (cutting the debt or lien), but the target term is not specified in the prompt.\"\n },\n {\n \"element\": \"The text must be a formal definition from a reliable source.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text is a direct quote from Black's Law Dictionary, sixth edition, with a specific definition of 'cutting the debt or lien'.\"\n }\n ],\n \"conclusion_logic\": \"If the target term is 'cutting the debt or lien', then the text satisfies the definitional criteria. If the target term is different, the text may not be applicable; the classification depends on the unknown target term.\",\n \"uncertainty_notes\": [\n \"The target legal term is not provided in the prompt, so the classification cannot be determined from the given information.\",\n \"The text is a self-contained definition, but without knowing the intended label, the output is speculative.\"\n ],\n \"confidence\": 0.15\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_220_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_220_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text describes a legal term that reduces a lienholder's equitable interest to liquidation value\",\n \"The text explicitly states that it does not insure a redemption opportunity for the debtor\",\n \"The text is from Black's L
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{"example_id": 2182, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2182\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend title XVIII of the Social Security Act to require the Secretary of Health and Human Services to negotiate prices of prescription drugs furnished under part D of the Medicare program.\nbill_summary: Medicare Negotiation and Competitive Licensing Act of 2019\n\nThis bill requires the Centers for Medicare & Medicaid Services (CMS) to negotiate with pharmaceutical companies regarding prices for drugs covered under the Medicare prescription drug benefit. (Current law prohibits the CMS from doing so.)\n\nThe CMS must take certain factors into account during negotiations, including the clinical- and cost-effectiveness of the drug, the financial burden on patients, and unmet patient needs. If the CMS is unable to negotiate the price of a drug, such drug is subject to competitive licensing in order to further its sale under Medicare, notwithstanding existing government-granted exclusivities.\n\nAdditionally, for one year after a drug is provided under a competitive license, such drug is also subject to specified price limitations; if the drug is not offered at such prices, the drug is subject to additional licensing that furthers its sale under any federal program (e.g., Medicaid).\ncompany_name: Verso Corp.\ncompany_description: After the Internal Reorganization, Verso is the sole member of Verso Holding LLC, which is the sole member of Verso Paper Holding LLC. As used in this report, the term \"Verso Holding\" refers to Verso Holding LLC, and the term \"Verso Paper\" refers to Verso Paper Holding LLC. Prior to the Internal Reorganization, Verso was the sole member of Verso Paper Finance Holdings One LLC, which was the sole member of Verso Paper Finance Holdings LLC, which was the sole member of Verso Paper Holdings LLC. As used in this report, the term \"Verso Finance\" refers to Verso Paper Finance Holdings LLC; and the term \"VPH\" refers to Verso Paper Holdings LLC. The term \"NewPage\" refers to NewPage Holdings Inc., which was an indirect, wholly owned subsidiary of Verso prior to the Internal Reorganization; the term \"NewPage Corp\" refers to NewPage Corporation, which was an indirect, wholly owned subsidiary of NewPage prior to the Internal Reorganization. Each of Verso Finance, VPH, NewPage and NewPage Corp were either merged into other subsidiaries of Verso, converted into limited liability corporations, and/or renamed in the Internal Reorganization and do not exist on and after the Internal Reorganization. We are the leading North American producer of coated papers, which are used primarily in commercial print, magazines, catalogs, high-end advertising brochures and annual reports, among other media and marketing publications. We produce a wide range of products, ranging fro
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{"example_id": 2182, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2182\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend title XVIII of the Social Security Act to require the Secretary of Health and Human Services to negotiate prices of prescription drugs furnished under part D of the Medicare program.\nbill_summary: Medicare Negotiation and Competitive Licensing Act of 2019\n\nThis bill requires the Centers for Medicare & Medicaid Services (CMS) to negotiate with pharmaceutical companies regarding prices for drugs covered under the Medicare prescription drug benefit. (Current law prohibits the CMS from doing so.)\n\nThe CMS must take certain factors into account during negotiations, including the clinical- and cost-effectiveness of the drug, the financial burden on patients, and unmet patient needs. If the CMS is unable to negotiate the price of a drug, such drug is subject to competitive licensing in order to further its sale under Medicare, notwithstanding existing government-granted exclusivities.\n\nAdditionally, for one year after a drug is provided under a competitive license, such drug is also subject to specified price limitations; if the drug is not offered at such prices, the drug is subject to additional licensing that furthers its sale under any federal program (e.g., Medicaid).\ncompany_name: Verso Corp.\ncompany_description: After the Internal Reorganization, Verso is the sole member of Verso Holding LLC, which is the sole member of Verso Paper Holding LLC. As used in this report, the term \"Verso Holding\" refers to Verso Holding LLC, and the term \"Verso Paper\" refers to Verso Paper Holding LLC. Prior to the Internal Reorganization, Verso was the sole member of Verso Paper Finance Holdings One LLC, which was the sole member of Verso Paper Finance Holdings LLC, which was the sole member of Verso Paper Holdings LLC. As used in this report, the term \"Verso Finance\" refers to Verso Paper Finance Holdings LLC; and the term \"VPH\" refers to Verso Paper Holdings LLC. The term \"NewPage\" refers to NewPage Holdings Inc., which was an indirect, wholly owned subsidiary of Verso prior to the Internal Reorganization; the term \"NewPage Corp\" refers to NewPage Corporation, which was an indirect, wholly owned subsidiary of NewPage prior to the Internal Reorganization. Each of Verso Finance, VPH, NewPage and NewPage Corp were either merged into other subsidiaries of Verso, converted into limited liability corporations, and/or renamed in the Internal Reorganization and do not exist on and after the Internal Reorganization. We are the leading North American producer of coated papers, which are used primarily in commercial print, magazines, catalogs, high-end advertising brochures and annual reports, among other media and marketing publications. We produce a wide range of products, ranging fro
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{"example_id": 837, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 837\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn 2000, Congress enacted a statute that offers some compensation to certain individuals, including Elahi, who hold terrorism-related judgments against Iran.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_837_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 837, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 837\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn 2000, Congress enacted a statute that offers some compensation to certain individuals, including Elahi, who hold terrorism-related judgments against Iran.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_837_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_837_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Congress enacted a statute in 2000 offering compensation to individuals holding terrorism-related judgments against Iran\",\n \"Elahi is an individual who holds such a judgment\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text satisfies the unstated definition being tested\",\n \"Whether the text describes a statutory compensation scheme for terrorism judgment holders\"\n ],\n \"knowledge_slots\": [\n \"Legal definition of 'definition classification' task: determining if a text matches a given definition\",\n \"Doctrine of statutory interpretation: purpose and scope of compensation statutes\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not align with the definition being applied\",\n \"The definition requires elements absent from the text\"\n ],\n \"less_relevant_if\": [\n \"The text fully matches the definition\",\n \"The definition is broad and encompasses the text\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text precisely matches the definition\",\n \"The definition is satisfied by the text's description\"\n ],\n \"less_relevant_if\": [\n \"The text lacks required elements of the definition\",\n \"The definition excludes the text's content\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition being used for classification\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2541, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2541\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 4. Netflix Service\n\n4.1. You must be 18 years of age, or the age of majority in your province, territory or country, to become a member of the Netflix service. Minors may only use the service under the supervision of an adult.\n\n4.2. The Netflix service and any content viewed through the service are for your personal and non-commercial use only and may not be shared with individuals beyond your household. During your Netflix membership we grant you a limited, non-exclusive, non-transferable right to access the Netflix service and view Netflix content. Except for the foregoing, no right, title or interest shall be transferred to you. You agree not to use the service for public performances.\n\n4.3. You may view the Netflix content primarily within the country in which you have established your account and only in geographic locations where we offer our service and have licensed such content. The content that may be available to watch will vary by geographic location and will change from time to time. The number of devices on which you may simultaneously watch depends on your chosen subscription plan and is specified on the \"Account\" page.\n\n4.4. The Netflix service, including the content library, is regularly updated. In addition, we continually test various aspects of our service, including our website, user interfaces, promotional features and availability of Netflix content. You can turn off tests participation at any time by visiting the \"Account\" page and changing the \"Test participation\" settings.\n\n4.5. Some Netflix content is available for temporary download and offline viewing on certain supported devices (Offline Titles). Limitations apply, including restrictions on the number of Offline Titles per account, the maximum number of devices that can contain Offline Titles, the time period within which you will need to begin viewing Offline Titles and how long the Offline Titles will remain accessible. Some Offline Titles may not be playable in certain countries and if you go online in a country where you would not be able to stream that Offline Title, the Offline Title will not be playable while you are in that country.\n\n4.6. You agree to use the Netflix service, including all features and functionalities associated therewith, in accordance with all applicable laws, rules and regulations, or other restrictions on use of the service or content therein. You agree not to archive, reproduce, distribute, modify, display, perform, publish, license, create derivative works from, offer for sale, or use (except as explicitly authorized in these Terms of Use) content and information contained on or obtained from or through the Netflix service. You also agree not to: circumvent, remove, a
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{"example_id": 2541, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2541\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 4. Netflix Service\n\n4.1. You must be 18 years of age, or the age of majority in your province, territory or country, to become a member of the Netflix service. Minors may only use the service under the supervision of an adult.\n\n4.2. The Netflix service and any content viewed through the service are for your personal and non-commercial use only and may not be shared with individuals beyond your household. During your Netflix membership we grant you a limited, non-exclusive, non-transferable right to access the Netflix service and view Netflix content. Except for the foregoing, no right, title or interest shall be transferred to you. You agree not to use the service for public performances.\n\n4.3. You may view the Netflix content primarily within the country in which you have established your account and only in geographic locations where we offer our service and have licensed such content. The content that may be available to watch will vary by geographic location and will change from time to time. The number of devices on which you may simultaneously watch depends on your chosen subscription plan and is specified on the \"Account\" page.\n\n4.4. The Netflix service, including the content library, is regularly updated. In addition, we continually test various aspects of our service, including our website, user interfaces, promotional features and availability of Netflix content. You can turn off tests participation at any time by visiting the \"Account\" page and changing the \"Test participation\" settings.\n\n4.5. Some Netflix content is available for temporary download and offline viewing on certain supported devices (Offline Titles). Limitations apply, including restrictions on the number of Offline Titles per account, the maximum number of devices that can contain Offline Titles, the time period within which you will need to begin viewing Offline Titles and how long the Offline Titles will remain accessible. Some Offline Titles may not be playable in certain countries and if you go online in a country where you would not be able to stream that Offline Title, the Offline Title will not be playable while you are in that country.\n\n4.6. You agree to use the Netflix service, including all features and functionalities associated therewith, in accordance with all applicable laws, rules and regulations, or other restrictions on use of the service or content therein. You agree not to archive, reproduce, distribute, modify, display, perform, publish, license, create derivative works from, offer for sale, or use (except as explicitly authorized in these Terms of Use) content and information contained on or obtained from or through the Netflix service. You also agree not to: circumvent, remove, a
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{"example_id": 694, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 694\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is only “riparian structures and operations of extraordinary character” over which Delaware retains “overlapping authority to regulate.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_694_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 694, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 694\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is only “riparian structures and operations of extraordinary character” over which Delaware retains “overlapping authority to regulate.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_694_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_694_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines 'riparian structures and operations of extraordinary character'.\",\n \"Delaware retains overlapping authority to regulate such structures and operations.\",\n \"The text implies a legal distinction between ordinary and extraordinary riparian activities.\"\n ],\n \"missing_info\": [\n \"The specific legal definition or criteria for 'riparian structures and operations of extraordinary character' beyond the text is not provided.\",\n \"The source or broader context of the text (e.g., a court ruling or statute) is not given.\",\n \"The intended classification task (definition vs. assertion vs. etc.) is non-standard; only 'definition_classification' is specified.\"\n ],\n \"context_summary\": \"A legal text focusing on riparian structures and operations of extraordinary character, over which Delaware has overlapping regulatory authority, is to be classified as 'Yes' or 'No' under a definition classification task.\",\n \"confidence\": 0.7\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_694_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 694, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 694\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is only “riparian structures and operations of extraordinary character” over which Delaware retains “overlapping authority to regulate.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_694_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_694_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text defines 'riparian structures and operations of extraordinary character'.\",\n \"Delaware retains overlapping authority to regulate such structures and operations.\",\n \"The text implies a legal distinction between ordinary and extraordinary riparian activities.\"\n ],\n \"missing_info\": [\n \"The specific legal definition or criteria for 'riparian structures and operations of extraordinary character' beyond the text is not provided.\",\n \"The source or broader context of the text (e.g., a court ruling or statute) is not given.\",\n \"The intended classification task (definition vs. assertion vs. etc.) is non-standard; only 'definition_classification' is specified.\"\n ],\n \"context_summary\": \"A legal text focusing on riparian structures and operations of extraordinary character, over which Delaware has overlapping regulatory authority, is to be classified as 'Yes' or 'No' under a definition classification task.\",\n \"confidence\": 0.7\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_694_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_694_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text mentions 'riparian structures and operations of extraordinary character'\",\n \"Text says Delaware retains 'overlapping authority to regulate'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a complete definition of a term\",\n \"Whether the text is a claim about jurisdictional authority rather than a definition\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks assess if a passage defines a term\",\n \"Legal definitions often specify scope and authority\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is a statement of rights or authority, not a definition\",\n \"The text refers to a specific legal term without defining it\"\n ],
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{"example_id": 1773, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1773\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessment made by the Minister of National Revenue (Minister) under section 325 of the Excise Tax Act, dated December 4, 2012, and bearing number F-041196 is allowed and the assessment is referred back to the Minister for reconsideration and reassessment for the sole purpose of reducing the assessment amount from $11,287.27 to $10,109.67, as conceded by the respondent at the commencement of the hearing, in accordance with the attached Reasons for Judgment.\nThe respondent is entitled to her costs.\nSigned at Ottawa, Canada, this 13th day of July 2015.\nLucie Lamarre\nLamarre A.C.J.\nTranslation certified true\nOn this 26th day of August 2015\nFranois Brunet, Revisor\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1773_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1773, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1773\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessment made by the Minister of National Revenue (Minister) under section 325 of the Excise Tax Act, dated December 4, 2012, and bearing number F-041196 is allowed and the assessment is referred back to the Minister for reconsideration and reassessment for the sole purpose of reducing the assessment amount from $11,287.27 to $10,109.67, as conceded by the respondent at the commencement of the hearing, in accordance with the attached Reasons for Judgment.\nThe respondent is entitled to her costs.\nSigned at Ottawa, Canada, this 13th day of July 2015.\nLucie Lamarre\nLamarre A.C.J.\nTranslation certified true\nOn this 26th day of August 2015\nFranois Brunet, Revisor\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1773_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1773_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Canadian tax court outcome classification: the operative language in the judgment determines the outcome as allowed, dismissed, or other.\",\n \"source\": \"Standard legal interpretation of court judgments\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The judgment explicitly states the appeal is allowed.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'The appeal ... is allowed and the assessment is referred back to the Minister for reconsideration and reassessment.'\"\n },\n {\n \"element\": \"The judgment states the appeal is dismissed.\",\n \"satisfied\": \"no\",\n \"evidence\": \"No phrase indicating dismissal appears in the text.\"\n }\n ],\n \"conclusion_logic\": \"If the judgment contains explicit language that the appeal is allowed (e.g., 'is allowed'), then the outcome is allowed. If it contains explicit language that the appeal is dismissed (e.g., 'is dismissed'), then the outcome is dismissed. Otherwise, the outcome is other.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1773_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1773, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1773\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessment made by the Minister of National Revenue (Minister) under section 325 of the Excise Tax Act, dated December 4, 2012, and bearing number F-041196 is allowed and the assessment is referred back to the Minister for reconsideration and reassessment for the sole purpose of reducing the assessment amount from $11,287.27 to $10,109.67, as conceded by the respondent at the commencement of the hearing, in accordance with the attached Reasons for Judgment.\nThe respondent is entitled to her costs.\nSigned at Ottawa, Canada, this 13th day of July 2015.\nLucie Lamarre\nLamarre A.C.J.\nTranslation certified true\nOn this 26th day of August 2015\nFranois Brunet, Revisor\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1773_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1773_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Canadian tax court outcome classification: the operative language in the judgment determines the outcome as allowed, dismissed, or other.\",\n \"source\": \"Standard legal interpretation of court judgments\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The judgment explicitly states the appeal is allowed.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states: 'The appeal ... is allowed and the assessment is referred back to the Minister for reconsideration and reassessment.'\"\n },\n {\n \"element\": \"The judgment states the appeal is dismissed.\",\n \"satisfied\": \"no\",\n \"evidence\": \"No phrase indicating dismissal appears in the text.\"\n }\n ],\n \"conclusion_logic\": \"If the judgment contains explicit language that the appeal is allowed (e.g., 'is allowed'), then the outcome is allowed. If it contains explicit language that the appeal is dismissed (e.g., 'is dismissed'), then the outcome is dismissed. Otherwise, the outcome is other.\",\n \"uncertainty_notes\": [],\n \"confidence\": 1.0\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1773_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1773_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The appeal is referred back to the Minister for reconsideration to reduce assessment from $11,287.27 to $10,109.67\",\n \"The respondent is e
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{"example_id": 55, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 55\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWebster's New International Dictionary (2d ed., 1953) likewise defines ‘stolen’ as ‘Obtained or accomplished by theft, stealth, or craft\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_55_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 55, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 55\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWebster's New International Dictionary (2d ed., 1953) likewise defines ‘stolen’ as ‘Obtained or accomplished by theft, stealth, or craft\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_55_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_55_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text contains a dictionary definition of the word 'stolen'\",\n \"Definition is quoted from Webster's New International Dictionary (2d ed., 1953)\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text constitutes a formal definition of a term\",\n \"Whether the text is presented as a definition from a权威 source\"\n ],\n \"knowledge_slots\": [\n \"A definition typically explains the meaning of a word or phrase, often introduced by 'is' or 'means'\",\n \"Dictionary definitions are authoritative and standardized\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not intended as a definition\",\n \"The text is a usage note or example instead\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states a definition\",\n \"The text is labeled as a definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text provides the meaning of a word\",\n \"The text is structured as a dictionary definition\"\n ],\n \"less_relevant_if\": [\n \"The text is a colloquial statement\",\n \"The text is a narrative or argument\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific classification criteria for this LegalBench task\",\n \"Whether the task expects a binary classification based on presence of a definition\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2183, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2183\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Food and Nutrition Act of 2008 to provide greater access to the supplemental nutrition assistance program by reducing duplicative and burdensome administrative requirements, authorize the Secretary of Agriculture to award grants to certain community-based nonprofit feeding and anti-hunger groups for the purpose of establishing and implementing a Beyond the Soup Kitchen Pilot Program for certain socially and economically disadvantaged populations, and for other purposes.\nbill_summary: Anti-hunger Empowerment Act of 2019\n\nThis bill reduces administrative requirements for the Supplemental Nutrition Assistance Program (SNAP, formerly known as the food stamp program), authorizes funding to increase access to SNAP offices, and authorizes grants for community-based nonprofits to expand anti-hunger activities.\n\nThe bill repeals existing provisions regarding administrative costs and authorizes the Department of Agriculture (USDA) to pay 75% of the administrative costs for state agencies to carry out new activities to increase the operating hours of SNAP offices, reduce wait times, accept online applications, upgrade technology, and provide a checklist of required documents.\n\nIf a state agency believes that information provided by a SNAP applicant is incorrect or incomplete, the agency must notify the applicant in writing and include instructions for providing the required information. A state may not require an appplicant to appear in person unless the information is not provided in response to the request or cannot be verified. State agencies may not require fingerprints for any member of a household to participate in SNAP or receive benefits.\n\nUSDA must report annually to Congress on the comparative progress of states in improving access to SNAP.\n\n\n\nThe bill also establishes a Beyond the Soup Kitchen Pilot Program to provide grants to community-based nonprofit feeding and anti-hunger groups for programs and technical assistance to reduce hunger, increase the use of nutrition assistance and anti-poverty programs, bolster food security, assist individuals and families to develop assets, promote economic independence, improve nutrition, and reduce obesity.\ncompany_name: Monster Beverage Corp.\ncompany_description: The Companys subsidiaries primarily develop and market energy drinks. We develop, market, sell and distribute energy drink beverages and concentrates for energy drink beverages, primarily under the following brand names: · Our Monster Energy® brand energy drinks, which represented 91.7%, 90.1% and 90.1% of our net sales for the years ended December 31, 2018, 2017 and 2016, respectively, primarily include the following energy drinks 1 : · Monster Energy® · Monst
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{"example_id": 2183, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2183\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Food and Nutrition Act of 2008 to provide greater access to the supplemental nutrition assistance program by reducing duplicative and burdensome administrative requirements, authorize the Secretary of Agriculture to award grants to certain community-based nonprofit feeding and anti-hunger groups for the purpose of establishing and implementing a Beyond the Soup Kitchen Pilot Program for certain socially and economically disadvantaged populations, and for other purposes.\nbill_summary: Anti-hunger Empowerment Act of 2019\n\nThis bill reduces administrative requirements for the Supplemental Nutrition Assistance Program (SNAP, formerly known as the food stamp program), authorizes funding to increase access to SNAP offices, and authorizes grants for community-based nonprofits to expand anti-hunger activities.\n\nThe bill repeals existing provisions regarding administrative costs and authorizes the Department of Agriculture (USDA) to pay 75% of the administrative costs for state agencies to carry out new activities to increase the operating hours of SNAP offices, reduce wait times, accept online applications, upgrade technology, and provide a checklist of required documents.\n\nIf a state agency believes that information provided by a SNAP applicant is incorrect or incomplete, the agency must notify the applicant in writing and include instructions for providing the required information. A state may not require an appplicant to appear in person unless the information is not provided in response to the request or cannot be verified. State agencies may not require fingerprints for any member of a household to participate in SNAP or receive benefits.\n\nUSDA must report annually to Congress on the comparative progress of states in improving access to SNAP.\n\n\n\nThe bill also establishes a Beyond the Soup Kitchen Pilot Program to provide grants to community-based nonprofit feeding and anti-hunger groups for programs and technical assistance to reduce hunger, increase the use of nutrition assistance and anti-poverty programs, bolster food security, assist individuals and families to develop assets, promote economic independence, improve nutrition, and reduce obesity.\ncompany_name: Monster Beverage Corp.\ncompany_description: The Companys subsidiaries primarily develop and market energy drinks. We develop, market, sell and distribute energy drink beverages and concentrates for energy drink beverages, primarily under the following brand names: · Our Monster Energy® brand energy drinks, which represented 91.7%, 90.1% and 90.1% of our net sales for the years ended December 31, 2018, 2017 and 2016, respectively, primarily include the following energy drinks 1 : · Monster Energy® · Monst
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{"example_id": 2743, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2743\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Instructure, Inc.s (and its affiliate(s)) (referenced herein as Instructure) Acceptable Use Policy rules and guidelines (referenced herein collectively as the AUP GUIDELINES) cover and govern each individual end users (referenced herein with you or with your) use and access to Instructures services and websites (referenced herein as the SERVICE). Instructures Privacy Policy explains how or whether Instructure (referenced herein with we our and us) collects and uses your personally identifiable information. BY USING OUR SERVICE, YOURE AGREEING TO USE THE SERVICE IN ACCORDANCE WITH THESE AUP GUIDELINES, AND TO REVIEW INSTRUCTURES PRIVACY POLICY. PLEASE ALSO NOTE THAT THESE AUP GUIDELINES AND THE PRIVACY POLICY ARE SUBJECT TO CHANGE. PLEASE REVIEW THE APPLICABLE CURRENT VERSIONS HERE AND HERE https://www.instructure.com/policies/privacy AND https://www.instructure.com/policies/acceptable-use. IF YOU DO NOT AGREE TO BE BOUND BY THESE AUP GUIDELINES OR DISAGREE WITH THE PERSONALLY IDENTIFIABLE INFORMATION COLLECTION AND USE PRACTICES, YOU SHOULD AND MAY NOT ACCESS OR USE THE SERVICE.\n\nLICENSE GRANT\nThese AUP Guidelines provide to you a personal, revocable, limited, non-exclusive, and non-transferable license to use the Service conditioned upon your continued compliance with these AUP Guidelines. Instructure reserves all rights not granted in the AUP Guidelines.\n\nYOUR CONTENT & YOUR PERMISSIONS\nWhen you use our Service, you provide us with things like your files, content, messages, etc. (Your Content). Your Content is yours. You represent that you have all necessary right, power, and authority to use the Service and share Your Content and will comply with all applicable laws when doing so. These AUP Guidelines dont give us any rights to Your Content except for the limited rights that enable us to offer the Service. We need your permission to do things like host Your Content, back it up, or share it when you ask us to. This permission extends to our trusted third parties we work with. You therefore give us, and third parties (with whom we work) permission to use, display, host, share, and back up Your Content. By submitting Your Content, you also permit us to identify you by your username and as the contributor of Your Content.\nquestion: Do users have the right to anonymously contribute content to the platform?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2743_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"
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{"example_id": 2743, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2743\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: Instructure, Inc.s (and its affiliate(s)) (referenced herein as Instructure) Acceptable Use Policy rules and guidelines (referenced herein collectively as the AUP GUIDELINES) cover and govern each individual end users (referenced herein with you or with your) use and access to Instructures services and websites (referenced herein as the SERVICE). Instructures Privacy Policy explains how or whether Instructure (referenced herein with we our and us) collects and uses your personally identifiable information. BY USING OUR SERVICE, YOURE AGREEING TO USE THE SERVICE IN ACCORDANCE WITH THESE AUP GUIDELINES, AND TO REVIEW INSTRUCTURES PRIVACY POLICY. PLEASE ALSO NOTE THAT THESE AUP GUIDELINES AND THE PRIVACY POLICY ARE SUBJECT TO CHANGE. PLEASE REVIEW THE APPLICABLE CURRENT VERSIONS HERE AND HERE https://www.instructure.com/policies/privacy AND https://www.instructure.com/policies/acceptable-use. IF YOU DO NOT AGREE TO BE BOUND BY THESE AUP GUIDELINES OR DISAGREE WITH THE PERSONALLY IDENTIFIABLE INFORMATION COLLECTION AND USE PRACTICES, YOU SHOULD AND MAY NOT ACCESS OR USE THE SERVICE.\n\nLICENSE GRANT\nThese AUP Guidelines provide to you a personal, revocable, limited, non-exclusive, and non-transferable license to use the Service conditioned upon your continued compliance with these AUP Guidelines. Instructure reserves all rights not granted in the AUP Guidelines.\n\nYOUR CONTENT & YOUR PERMISSIONS\nWhen you use our Service, you provide us with things like your files, content, messages, etc. (Your Content). Your Content is yours. You represent that you have all necessary right, power, and authority to use the Service and share Your Content and will comply with all applicable laws when doing so. These AUP Guidelines dont give us any rights to Your Content except for the limited rights that enable us to offer the Service. We need your permission to do things like host Your Content, back it up, or share it when you ask us to. This permission extends to our trusted third parties we work with. You therefore give us, and third parties (with whom we work) permission to use, display, host, share, and back up Your Content. By submitting Your Content, you also permit us to identify you by your username and as the contributor of Your Content.\nquestion: Do users have the right to anonymously contribute content to the platform?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2743_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role":
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{"example_id": 637, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 637\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn the class action context, cy pres refers to the practice of distributing settlement funds not amenable to individual claims or meaningful pro rata distribution to nonprofit organizations whose work is determined to indirectly benefit class members. Black's Law Dictionary 470 (10th ed. 2014).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_637_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 637, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 637\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn the class action context, cy pres refers to the practice of distributing settlement funds not amenable to individual claims or meaningful pro rata distribution to nonprofit organizations whose work is determined to indirectly benefit class members. Black's Law Dictionary 470 (10th ed. 2014).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_637_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_637_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Cy pres is a practice in class action context.\",\n \"Cy pres involves distributing settlement funds not amenable to individual claims.\",\n \"Cy pres involves distributing funds meaningfully pro rata to nonprofit organizations.\",\n \"The nonprofit organizations' work is determined to indirectly benefit class members.\",\n \"The definition is from Black's Law Dictionary 470 (10th ed. 2014).\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for 'Yes' or 'No' labels are not provided.\"\n ],\n \"context_summary\": \"The text defines 'cy pres' in the class action context: distributing settlement funds to nonprofit organizations indirectly benefiting class members when individual claims or pro rata distribution are not feasible. Source: Black's Law Dictionary.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_637_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 637, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 637\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn the class action context, cy pres refers to the practice of distributing settlement funds not amenable to individual claims or meaningful pro rata distribution to nonprofit organizations whose work is determined to indirectly benefit class members. Black's Law Dictionary 470 (10th ed. 2014).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_637_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_637_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"Cy pres is a practice in class action context.\",\n \"Cy pres involves distributing settlement funds not amenable to individual claims.\",\n \"Cy pres involves distributing funds meaningfully pro rata to nonprofit organizations.\",\n \"The nonprofit organizations' work is determined to indirectly benefit class members.\",\n \"The definition is from Black's Law Dictionary 470 (10th ed. 2014).\"\n ],\n \"missing_info\": [\n \"The specific classification criteria for 'Yes' or 'No' labels are not provided.\"\n ],\n \"context_summary\": \"The text defines 'cy pres' in the class action context: distributing settlement funds to nonprofit organizations indirectly benefiting class members when individual claims or pro rata distribution are not feasible. Source: Black's Law Dictionary.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_637_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_637_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'cy pres' in class action context\",\n \"Text mentions distributing settlement funds to nonprofit organizations that indirectly benefit class members\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a term\",\n \"Whether the text includes formal language or dictionary source\",\n \"Whether the text is a complete explanation of a legal concept\"\n ],\n \"knowledge_slots\": [\n \"Cy pres is a legal doctrine for distributing funds when individual claims are not feasible\",\n \"Black's Law Dictionary is a standard legal reference work\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not a definition but a description or application
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{"example_id": 106, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 106\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The ordinary meaning of 'notwithstanding' is 'in spite of,' or 'without prevention or obstruction from or by.'\" (then cites to both Ordinary and Legal D)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_106_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 106, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 106\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The ordinary meaning of 'notwithstanding' is 'in spite of,' or 'without prevention or obstruction from or by.'\" (then cites to both Ordinary and Legal D)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_106_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_106_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as a definition if it explicitly states the meaning of a term.\",\n \"source\": \"Common annotation guidelines for definition classification tasks\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text identifies a specific term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text contains the word 'notwithstanding' as the term being defined.\"\n },\n {\n \"element\": \"Text provides a meaning or explanation of the term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'The ordinary meaning of ... is ...' and gives alternative definitions.\"\n },\n {\n \"element\": \"Text explicitly uses definitional phrasing\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'ordinary meaning is' is a standard definitional structure.\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a term and uses explicit definitional language (e.g., 'meaning is') to provide one or more meanings, then it should be classified as a definition. The text satisfies all these conditions.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_106_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 106, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 106\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"The ordinary meaning of 'notwithstanding' is 'in spite of,' or 'without prevention or obstruction from or by.'\" (then cites to both Ordinary and Legal D)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_106_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_106_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is classified as a definition if it explicitly states the meaning of a term.\",\n \"source\": \"Common annotation guidelines for definition classification tasks\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text identifies a specific term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text contains the word 'notwithstanding' as the term being defined.\"\n },\n {\n \"element\": \"Text provides a meaning or explanation of the term\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text states 'The ordinary meaning of ... is ...' and gives alternative definitions.\"\n },\n {\n \"element\": \"Text explicitly uses definitional phrasing\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'ordinary meaning is' is a standard definitional structure.\"\n }\n ],\n \"conclusion_logic\": \"If the text identifies a term and uses explicit definitional language (e.g., 'meaning is') to provide one or more meanings, then it should be classified as a definition. The text satisfies all these conditions.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_106_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_106_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides a definition of the word 'notwithstanding' using ordinary and legal dictionary citations.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states the meaning of a term or phrase.\",\n \"Whether the text cites authoritative sources for the meaning.\",\n \"Whether the text is structured as a definition (e.g., 'The ordinary meaning of X is Y').\"\n ],\n \"knowledge_slots\": [\n \"A definition typically explains the meaning of a term, often with citation to sources.\",\n \"Legal definitions may incorporate ordinary meaning
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{"example_id": 93, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 93\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"We normally characterize this interpretive maxim as a presumption in favor of “scienter,” by which we mean a presumption that criminal statutes require the degree of knowledge sufficient to “mak[e] a person legally responsible for the consequences of his or her act or omission.” Black's Law Dictionary 1547 (10th ed. 2014).\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_93_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 93, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 93\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"We normally characterize this interpretive maxim as a presumption in favor of “scienter,” by which we mean a presumption that criminal statutes require the degree of knowledge sufficient to “mak[e] a person legally responsible for the consequences of his or her act or omission.” Black's Law Dictionary 1547 (10th ed. 2014).\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_93_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_93_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a definition of a legal interpretive maxim\",\n \"Text mentions 'presumption in favor of scienter'\",\n \"Text cites Black's Law Dictionary\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text defines a term or concept\",\n \"Whether the text uses definitional language ('we characterize this...as a presumption')\",\n \"Whether the text includes a source citation, common in legal definitions\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions often include citation to authorities\",\n \"Definitional language typically states the meaning of a term\",\n \"Presumption in favor of scienter is a legal interpretive rule\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not a definition but a statement of application\",\n \"The text lacks explicit definitional structure\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states 'we characterize this...as a presumption'\",\n \"The text defines a specific legal term\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text defines a legal term or concept\",\n \"The text uses definitional phrasing and cites a source\"\n ],\n \"less_relevant_if\": [\n \"The text is more of a comment than a formal definition\",\n \"The text does not clearly define a boundary or meaning\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1905, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1905\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the reassessments made under the Income Tax Act for the 1999, 2000, 2001 and 2002 taxation years are dismissed in accordance with the attached Reasons for Judgment.\nThe Respondents request for costs is denied.\nSigned at Ottawa, Canada, this 17th day of September, 2009.\nG. A. Sheridan\nSheridan, J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1905_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1905, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1905\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the reassessments made under the Income Tax Act for the 1999, 2000, 2001 and 2002 taxation years are dismissed in accordance with the attached Reasons for Judgment.\nThe Respondents request for costs is denied.\nSigned at Ottawa, Canada, this 17th day of September, 2009.\nG. A. Sheridan\nSheridan, J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1905_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1905_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text states that appeals are dismissed.\",\n \"The text denies costs request.\",\n \"Signed by judge Sheridan on September 17, 2009.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome words like 'dismissed' or 'allowed'.\",\n \"Context of the judgment regarding appeals and costs.\"\n ],\n \"knowledge_slots\": [\n \"In legal judgments, 'dismissed' means the appeal is rejected.\",\n \"'Allowed' means the appeal is granted.\",\n \"'Other' covers outcomes not explicitly covered by the first two.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text uses 'allowed' or indicates the appeal was granted.\"],\n \"less_relevant_if\": [\"Text uses 'dismissed' or denies the appeal.\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"Text uses 'dismissed' or indicates the appeal is rejected.\"],\n \"less_relevant_if\": [\"Text uses 'allowed' or grants the appeal.\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"Text does not clearly use 'allowed' or 'dismissed'.\"],\n \"less_relevant_if\": [\"Text explicitly states 'dismissed' or 'allowed'.\"]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1798, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1798\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the assessment under the Income Tax Act (the Act) for the 2008 taxation year is allowed and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the penalty imposed under subsection 163(1) of the Act is cancelled.\nSigned at Ottawa, Canada, this 18th day of April 2011.\nGerald J. Rip\nRip C.J.\nTranslation certified true\nOn this 30th day of May 2011\nMonica F. Chamberlain, Reviser\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1798_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1798, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1798\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the assessment under the Income Tax Act (the Act) for the 2008 taxation year is allowed and the assessment is referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the penalty imposed under subsection 163(1) of the Act is cancelled.\nSigned at Ottawa, Canada, this 18th day of April 2011.\nGerald J. Rip\nRip C.J.\nTranslation certified true\nOn this 30th day of May 2011\nMonica F. Chamberlain, Reviser\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1798_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1798_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeal for 2008 taxation year is allowed\",\n \"Penalty under subsection 163(1) is cancelled\",\n \"Decision date April 18, 2011\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome language such as 'allowed' or 'dismissed'\",\n \"Context of the court's action regarding the penalty\",\n \"Overall tenor of the decision text\"\n ],\n \"knowledge_slots\": [\n \"Canadian tax court decisions often state 'appeal allowed' or 'dismissed'\",\n \"Cancellation of penalty indicates favorable outcome for appellant\",\n \"The phrase 'is referred back' suggests reconsideration, not dismissal\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text explicitly uses 'allowed' or 'granted'\",\n \"Court cancels a penalty or modifies assessment\"\n ],\n \"less_relevant_if\": [\n \"Text uses 'dismissed' or 'denied'\",\n \"Outcome is unclear or ambiguous\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text explicitly uses 'dismissed' or 'denied'\",\n \"Appeal is rejected without relief\"\n ],\n \"less_relevant_if\": [\n \"Text uses 'allowed' or 'granted'\",\n \"Court provides any remedy for appellant\"\n ]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\n \"Text does not clearly indicate allowed or dismissed\",\n \"Outcome is mixed or procedural (e.g., referral back for reconsideration)\"\n ],\n \"less_relevant_if\": [\n \"Text contains unambiguous language of allowance or dismissal\"\n ]\n }\n ],\n \"missing_in
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{"example_id": 2016, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2016\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide for restoration, economic development, recreation, and conservation on Federal lands in Northern California, and for other purposes.\nbill_summary: Northwest California Wilderness, Recreation, and Working Forests Act\n\nThis bill sets forth provisions concerning the restoration, economic development, and conservation of, and recreational access to, certain public lands in Northern California.\n\nThe bill establishes\n\n the South Fork Trinity-Mad River Restoration Area, the Northwest California Public Lands Remediation Partnership, the Trinity Lake and Del Norte County visitor centers, the Horse Mountain Special Management Area, the Elk Camp Ridge National Recreation Trail, and the Sanhedrin Conservation Management Area. The bill designates\n\n specified federal lands as components of the National Wilderness Preservation System, the North Fork Wilderness as the North Fork Eel River Wilderness, specified federal lands as potential wilderness areas, and specified segments of certain rivers and creeks and of a specified river estuary as components of the National Wild and Scenic Rivers System. Also, the bill\n\n authorizes the use of certain forest residues for research and development of biobased products that result in net carbon sequestration; authorizes initiatives to restore degraded redwood forest ecosystems in the Redwood National Forest and state parks; requires studies concerning certain visitor accommodations and recreational trails in the Six Rivers, Shasta-Trinity, and Mendocino National Forests, as applicable; authorizes partnerships for trail and campground maintenance, public education, visitor contacts, and visitor center staffing on federal lands in Mendocino, Humboldt, Trinity, and Del Norte Counties; and adjusts the boundaries of the Elkhorn Ridge Wilderness.\ncompany_name: Dick's Sporting Goods, Inc.\ncompany_description: \"us\" and \"our\" unless specified otherwise) is a leading omni-channel sporting goods retailer offering an extensive assortment of authentic, high-quality sports equipment, apparel, footwear and accessories through a blend of dedicated associates, in-store services and unique specialty shop-in-shops. The Company also owns and operates Golf Galaxy and Field & Stream stores, and Dick's Team Sports HQ, an all-in-one youth sports digital platform offering scheduling, communications and live scorekeeping through its GameChanger mobile apps, free league management services, custom uniforms and fan wear, and access to donations and sponsorships. The Company offers its products through a content-rich eCommerce platform that is integrated with its store network and provides customers with the convenience and expertise of a 24-hour storefront. Our vi
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{"example_id": 2016, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2016\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide for restoration, economic development, recreation, and conservation on Federal lands in Northern California, and for other purposes.\nbill_summary: Northwest California Wilderness, Recreation, and Working Forests Act\n\nThis bill sets forth provisions concerning the restoration, economic development, and conservation of, and recreational access to, certain public lands in Northern California.\n\nThe bill establishes\n\n the South Fork Trinity-Mad River Restoration Area, the Northwest California Public Lands Remediation Partnership, the Trinity Lake and Del Norte County visitor centers, the Horse Mountain Special Management Area, the Elk Camp Ridge National Recreation Trail, and the Sanhedrin Conservation Management Area. The bill designates\n\n specified federal lands as components of the National Wilderness Preservation System, the North Fork Wilderness as the North Fork Eel River Wilderness, specified federal lands as potential wilderness areas, and specified segments of certain rivers and creeks and of a specified river estuary as components of the National Wild and Scenic Rivers System. Also, the bill\n\n authorizes the use of certain forest residues for research and development of biobased products that result in net carbon sequestration; authorizes initiatives to restore degraded redwood forest ecosystems in the Redwood National Forest and state parks; requires studies concerning certain visitor accommodations and recreational trails in the Six Rivers, Shasta-Trinity, and Mendocino National Forests, as applicable; authorizes partnerships for trail and campground maintenance, public education, visitor contacts, and visitor center staffing on federal lands in Mendocino, Humboldt, Trinity, and Del Norte Counties; and adjusts the boundaries of the Elkhorn Ridge Wilderness.\ncompany_name: Dick's Sporting Goods, Inc.\ncompany_description: \"us\" and \"our\" unless specified otherwise) is a leading omni-channel sporting goods retailer offering an extensive assortment of authentic, high-quality sports equipment, apparel, footwear and accessories through a blend of dedicated associates, in-store services and unique specialty shop-in-shops. The Company also owns and operates Golf Galaxy and Field & Stream stores, and Dick's Team Sports HQ, an all-in-one youth sports digital platform offering scheduling, communications and live scorekeeping through its GameChanger mobile apps, free league management services, custom uniforms and fan wear, and access to donations and sponsorships. The Company offers its products through a content-rich eCommerce platform that is integrated with its store network and provides customers with the convenience and expertise of a 24-hour storefront. Our vi
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{"example_id": 2016, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2016\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to provide for restoration, economic development, recreation, and conservation on Federal lands in Northern California, and for other purposes.\nbill_summary: Northwest California Wilderness, Recreation, and Working Forests Act\n\nThis bill sets forth provisions concerning the restoration, economic development, and conservation of, and recreational access to, certain public lands in Northern California.\n\nThe bill establishes\n\n the South Fork Trinity-Mad River Restoration Area, the Northwest California Public Lands Remediation Partnership, the Trinity Lake and Del Norte County visitor centers, the Horse Mountain Special Management Area, the Elk Camp Ridge National Recreation Trail, and the Sanhedrin Conservation Management Area. The bill designates\n\n specified federal lands as components of the National Wilderness Preservation System, the North Fork Wilderness as the North Fork Eel River Wilderness, specified federal lands as potential wilderness areas, and specified segments of certain rivers and creeks and of a specified river estuary as components of the National Wild and Scenic Rivers System. Also, the bill\n\n authorizes the use of certain forest residues for research and development of biobased products that result in net carbon sequestration; authorizes initiatives to restore degraded redwood forest ecosystems in the Redwood National Forest and state parks; requires studies concerning certain visitor accommodations and recreational trails in the Six Rivers, Shasta-Trinity, and Mendocino National Forests, as applicable; authorizes partnerships for trail and campground maintenance, public education, visitor contacts, and visitor center staffing on federal lands in Mendocino, Humboldt, Trinity, and Del Norte Counties; and adjusts the boundaries of the Elkhorn Ridge Wilderness.\ncompany_name: Dick's Sporting Goods, Inc.\ncompany_description: \"us\" and \"our\" unless specified otherwise) is a leading omni-channel sporting goods retailer offering an extensive assortment of authentic, high-quality sports equipment, apparel, footwear and accessories through a blend of dedicated associates, in-store services and unique specialty shop-in-shops. The Company also owns and operates Golf Galaxy and Field & Stream stores, and Dick's Team Sports HQ, an all-in-one youth sports digital platform offering scheduling, communications and live scorekeeping through its GameChanger mobile apps, free league management services, custom uniforms and fan wear, and access to donations and sponsorships. The Company offers its products through a content-rich eCommerce platform that is integrated with its store network and provides customers with the convenience and expertise of a 24-hour storefront. Our vi
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{"example_id": 2292, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2292\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To improve the ability of the National Oceanic and Atmospheric Administration, the Coast Guard, and coastal States to sustain healthy ocean and coastal ecosystems by maintaining and sustaining their capabilities relating to oil spill preparedness, prevention, and response, and for other purposes.\nbill_summary: Marine Oil Spill Prevention Act \n\nThis bill address issues related to preventing and responding to oil spills.\n\nAmong other things, the bill\n\n requires the Department of the Interior to consult with the National Oceanic and Atmospheric Administration (NOAA) before approving an oil and gas lease program; authorizes the Department of Commerce to make grants to states to ensure sufficient oil spill planning and response capabilities; prohibits oil and gas leasing in certain areas of the Eastern Gulf of Mexico Planning Area, the South Atlantic Planning area, and the Straits of Florida Planning Area; sets forth provisions concerning Coast Guard responsibilities, including designating areas that are at heightened risk of oil spills and implementing measures to ameliorate that risk; establishes a Gulf Coast Regional Citizens' Advisory Council to advise on facilities and tank vessels; permits the U.S. Coast Guard or Commerce to request a National Transportation Safety Board investigation of certain accidents occurring in the Outer Continental Shelf (OCS); establishes inspection fees for OCS facilities; requires a comprehensive review of NOAA's capacity to respond to oil spills; directs the Coast Guard to evaluate and validate oil pollution containment and removal methods and technologies; requires NOAA to carry out a long-term marine environment monitoring and research program for the Gulf of Mexico; and directs the Coast Guard to publish within 12 hours an Incident Action Plan in response to an oil spill.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges
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{"example_id": 2292, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2292\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To improve the ability of the National Oceanic and Atmospheric Administration, the Coast Guard, and coastal States to sustain healthy ocean and coastal ecosystems by maintaining and sustaining their capabilities relating to oil spill preparedness, prevention, and response, and for other purposes.\nbill_summary: Marine Oil Spill Prevention Act \n\nThis bill address issues related to preventing and responding to oil spills.\n\nAmong other things, the bill\n\n requires the Department of the Interior to consult with the National Oceanic and Atmospheric Administration (NOAA) before approving an oil and gas lease program; authorizes the Department of Commerce to make grants to states to ensure sufficient oil spill planning and response capabilities; prohibits oil and gas leasing in certain areas of the Eastern Gulf of Mexico Planning Area, the South Atlantic Planning area, and the Straits of Florida Planning Area; sets forth provisions concerning Coast Guard responsibilities, including designating areas that are at heightened risk of oil spills and implementing measures to ameliorate that risk; establishes a Gulf Coast Regional Citizens' Advisory Council to advise on facilities and tank vessels; permits the U.S. Coast Guard or Commerce to request a National Transportation Safety Board investigation of certain accidents occurring in the Outer Continental Shelf (OCS); establishes inspection fees for OCS facilities; requires a comprehensive review of NOAA's capacity to respond to oil spills; directs the Coast Guard to evaluate and validate oil pollution containment and removal methods and technologies; requires NOAA to carry out a long-term marine environment monitoring and research program for the Gulf of Mexico; and directs the Coast Guard to publish within 12 hours an Incident Action Plan in response to an oil spill.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges
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{"example_id": 2292, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2292\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To improve the ability of the National Oceanic and Atmospheric Administration, the Coast Guard, and coastal States to sustain healthy ocean and coastal ecosystems by maintaining and sustaining their capabilities relating to oil spill preparedness, prevention, and response, and for other purposes.\nbill_summary: Marine Oil Spill Prevention Act \n\nThis bill address issues related to preventing and responding to oil spills.\n\nAmong other things, the bill\n\n requires the Department of the Interior to consult with the National Oceanic and Atmospheric Administration (NOAA) before approving an oil and gas lease program; authorizes the Department of Commerce to make grants to states to ensure sufficient oil spill planning and response capabilities; prohibits oil and gas leasing in certain areas of the Eastern Gulf of Mexico Planning Area, the South Atlantic Planning area, and the Straits of Florida Planning Area; sets forth provisions concerning Coast Guard responsibilities, including designating areas that are at heightened risk of oil spills and implementing measures to ameliorate that risk; establishes a Gulf Coast Regional Citizens' Advisory Council to advise on facilities and tank vessels; permits the U.S. Coast Guard or Commerce to request a National Transportation Safety Board investigation of certain accidents occurring in the Outer Continental Shelf (OCS); establishes inspection fees for OCS facilities; requires a comprehensive review of NOAA's capacity to respond to oil spills; directs the Coast Guard to evaluate and validate oil pollution containment and removal methods and technologies; requires NOAA to carry out a long-term marine environment monitoring and research program for the Gulf of Mexico; and directs the Coast Guard to publish within 12 hours an Incident Action Plan in response to an oil spill.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges
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{"example_id": 1650, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1650\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 103\nParagraph: Petitioner argues, as it did below, that trademark litigation settlements are generally immune from antitrust review. It contends that in Actavis, the Supreme *113 Court “cabin[ed] its extension of antitrust scrutiny” to the “unusual” intellectual property settlements at issue there and did not intend to implicate “commonplace” settlements.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1650_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1650, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1650\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 103\nParagraph: Petitioner argues, as it did below, that trademark litigation settlements are generally immune from antitrust review. It contends that in Actavis, the Supreme *113 Court “cabin[ed] its extension of antitrust scrutiny” to the “unusual” intellectual property settlements at issue there and did not intend to implicate “commonplace” settlements.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1650_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1650_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Petitioner argues trademark litigation settlements are immune from antitrust review\",\n \"Citation: 1 F.4th 103, Actavis case\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Whether the text presents reasoning or application of law\",\n \"Whether the text states a legal rule or tests a legal issue\",\n \"Whether the text describes procedural steps or prior rulings\"\n ],\n \"knowledge_slots\": [\n \"Legal decision sections: Analysis applies rule to facts; Conclusion states outcome; Decree is order; Facts are background; Issue is question; Procedural History recounts prior steps; Rule states legal principle\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text engages in legal reasoning, interpreting arguments, or applying law to facts\"],\n \"less_relevant_if\": [\"Text states a final holding or describes factual background\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"Text announces the court's ultimate decision or disposition\"],\n \"less_relevant_if\": [\"Text discusses arguments without reaching a conclusion\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"Text contains an order, injunction, or specific directive\"],\n \"less_relevant_if\": [\"Text lacks any directive language or outcome statement\"]\n },\n {\n \"choice_key\": \"D\",\n \"relevant_if\": [\"Text provides factual background, events, or evidence\"],\n \"less_relevant_if\": [\"Text focuses on legal arguments or statutory interpretation\"]\n },\n {\n \"choice_key\": \"E\",\n \"relevant_if\": [\"Tex
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{"example_id": 2071, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2071\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to protect the privacy of users of social media and other online platforms.\nbill_summary: Social Media Privacy Protection and Consumer Rights Act of 2019\n\nThis bill requires online platform operators to inform a user, prior to a user creating an account or otherwise using the platform, that the user's personal data produced during online behavior will be collected and used by the operator and third parties. The operator must provide a user the option to specify privacy preferences, and an operator may deny certain services or complete access to a user if the user's privacy elections create inoperability in the platform.\n\nThe operator must (1) offer a user a copy of the personal data of the user that the operator has processed, free of charge, and in an electronic format; and (2) notify a user within 72 hours of becoming aware that the user's data has been transmitted in violation of the security platform.\n\nA violation of the bill's privacy requirements shall be considered an unfair or deceptive act or practice under the Federal Trade Commission Act. The Federal Trade Commission (FTC) may enforce this bill against common carriers regulated by the Federal Communications Commission under the Communications Act of 1934 and nonprofit organizations. Currently, common carriers regulated under that Act are exempt from the FTC's enforcement authority, and nonprofit organizations are subject to FTC enforcement only if they provide substantial economic benefit to their for-profit members.\n\nA state may bring a civil action in federal court regarding such violations.\ncompany_name: Adobe, Inc.\ncompany_description: BUSINESS Founded in 1982, Adobe Systems Incorporated is one of the largest and most diversified software companies in the world. We offer a line of products and services used by creative professionals, marketers, knowledge workers, application developers, enterprises and consumers for creating, managing, delivering, measuring, optimizing and engaging with compelling content and experiences across personal computers, devices and media. We license our products to end users through app stores and our own website at www.adobe.com. We offer many of our products via a Software-as-a-Service (\"SaaS\") model or a managed services model (both of which are referred to as hosted or cloud-based) as well as through term subscription and pay-per-use models. We also distribute certain products and services through a network of distributors, value-added resellers (\"VARs\"), systems integrators (\"SIs\"), independent software vendors (\"ISVs\"), retailers, software developers and original equipment manufacturers (\"OEMs\"). In addition, we license our technology to hardware manufacturers, so
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{"example_id": 2071, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2071\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to protect the privacy of users of social media and other online platforms.\nbill_summary: Social Media Privacy Protection and Consumer Rights Act of 2019\n\nThis bill requires online platform operators to inform a user, prior to a user creating an account or otherwise using the platform, that the user's personal data produced during online behavior will be collected and used by the operator and third parties. The operator must provide a user the option to specify privacy preferences, and an operator may deny certain services or complete access to a user if the user's privacy elections create inoperability in the platform.\n\nThe operator must (1) offer a user a copy of the personal data of the user that the operator has processed, free of charge, and in an electronic format; and (2) notify a user within 72 hours of becoming aware that the user's data has been transmitted in violation of the security platform.\n\nA violation of the bill's privacy requirements shall be considered an unfair or deceptive act or practice under the Federal Trade Commission Act. The Federal Trade Commission (FTC) may enforce this bill against common carriers regulated by the Federal Communications Commission under the Communications Act of 1934 and nonprofit organizations. Currently, common carriers regulated under that Act are exempt from the FTC's enforcement authority, and nonprofit organizations are subject to FTC enforcement only if they provide substantial economic benefit to their for-profit members.\n\nA state may bring a civil action in federal court regarding such violations.\ncompany_name: Adobe, Inc.\ncompany_description: BUSINESS Founded in 1982, Adobe Systems Incorporated is one of the largest and most diversified software companies in the world. We offer a line of products and services used by creative professionals, marketers, knowledge workers, application developers, enterprises and consumers for creating, managing, delivering, measuring, optimizing and engaging with compelling content and experiences across personal computers, devices and media. We license our products to end users through app stores and our own website at www.adobe.com. We offer many of our products via a Software-as-a-Service (\"SaaS\") model or a managed services model (both of which are referred to as hosted or cloud-based) as well as through term subscription and pay-per-use models. We also distribute certain products and services through a network of distributors, value-added resellers (\"VARs\"), systems integrators (\"SIs\"), independent software vendors (\"ISVs\"), retailers, software developers and original equipment manufacturers (\"OEMs\"). In addition, we license our technology to hardware manufacturers, so
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{"example_id": 67, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 67\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIf the ordinance's prohibition were limited *111 to loitering with “an apparently harmful purpose,” the criminality of the conduct would continue to depend on its external appearance, rather than the loiterer's state of mind. See Black's Law Dictionary 1345 (6th ed.1990) (scienter “is frequently used to signify the defendant's guilty knowledge”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_67_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 67, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 67\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIf the ordinance's prohibition were limited *111 to loitering with “an apparently harmful purpose,” the criminality of the conduct would continue to depend on its external appearance, rather than the loiterer's state of mind. See Black's Law Dictionary 1345 (6th ed.1990) (scienter “is frequently used to signify the defendant's guilty knowledge”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_67_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_67_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Ordinance's prohibition is debated whether it requires proof of harmful purpose\",\n \"Text quotes Black's Law Dictionary on scienter definition\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text emphasizes state of mind as element of crime\",\n \"Whether the text supports including scienter requirement\"\n ],\n \"knowledge_slots\": [\n \"Scienter in criminal law refers to defendant's guilty knowledge\",\n \"Definition classification tasks assess if text matches a given definition\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text argues against requiring proof of harmful purpose\",\n \"Text suggests criminality depends on appearance, not intent\"\n ],\n \"less_relevant_if\": [\n \"Text explicitly states criminality should depend on state of mind\",\n \"Text defines scienter as essential element\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text argues prohibition should consider loiterer's state of mind\",\n \"Text defines scienter as guilty knowledge (aligns with purpose requirement)\"\n ],\n \"less_relevant_if\": [\n \"Text primarily discusses appearance standard\",\n \"Text does not directly apply to ordinance prohibition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition being classified\",\n \"Whether the text is presented as supporting or opposing the definition\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1616, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1616\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 87\nParagraph: We briefly rehearse the travel of the case. The government's investigation yielded copious evidence that the appellant had masterminded two serpentine schemes, both fraudulent, over a protracted period of time. One scheme involved a bank account, supposedly frozen, which (the appellant represented) contained large sums of money. The other scheme involved an emerald, supposedly huge and extremely valuable, which (the appellant represented) was being held in South America. Spinning tales of riches there for the taking, the appellant hoodwinked over forty victims and bilked millions of dollars from them *91 over a period that stretched for more than a decade.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1616_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1616, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1616\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 87\nParagraph: We briefly rehearse the travel of the case. The government's investigation yielded copious evidence that the appellant had masterminded two serpentine schemes, both fraudulent, over a protracted period of time. One scheme involved a bank account, supposedly frozen, which (the appellant represented) contained large sums of money. The other scheme involved an emerald, supposedly huge and extremely valuable, which (the appellant represented) was being held in South America. Spinning tales of riches there for the taking, the appellant hoodwinked over forty victims and bilked millions of dollars from them *91 over a period that stretched for more than a decade.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1616_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1616_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from a legal opinion cited as 1 F.4th 87.\",\n \"The text is a paragraph that briefly recounts the travel of the case.\",\n \"The government's investigation yielded copious evidence of two fraudulent schemes by the appellant.\",\n \"One scheme involved a bank account supposedly frozen with large sums of money.\",\n \"The other scheme involved an emerald supposedly huge and extremely valuable held in South America.\",\n \"The appellant hoodwinked over forty victims and bilked millions of dollars from them.\",\n \"The fraudulent activities stretched over a period of more than a decade.\"\n ],\n \"missing_info\": [\n \"The specific section heading or label for classification is not provided.\",\n \"The broader context of the opinion (e.g., which court, parties, or procedural posture) is absent.\",\n \"The relationship between this paragraph and the surrounding text is not given.\"\n ],\n \"context_summary\": \"The text is a paragraph from 1 F.4th 87 that recounts the government's investigation uncovering two fraudulent schemes by an appellant, involving a bank account and an emerald, defrauding over forty victims of millions over more than a decade.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1616_2", "type": "function", "function": {"name": "reasoner_tool", "
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{"example_id": 1616, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1616\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 87\nParagraph: We briefly rehearse the travel of the case. The government's investigation yielded copious evidence that the appellant had masterminded two serpentine schemes, both fraudulent, over a protracted period of time. One scheme involved a bank account, supposedly frozen, which (the appellant represented) contained large sums of money. The other scheme involved an emerald, supposedly huge and extremely valuable, which (the appellant represented) was being held in South America. Spinning tales of riches there for the taking, the appellant hoodwinked over forty victims and bilked millions of dollars from them *91 over a period that stretched for more than a decade.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1616_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1616_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text is from a legal opinion cited as 1 F.4th 87.\",\n \"The text is a paragraph that briefly recounts the travel of the case.\",\n \"The government's investigation yielded copious evidence of two fraudulent schemes by the appellant.\",\n \"One scheme involved a bank account supposedly frozen with large sums of money.\",\n \"The other scheme involved an emerald supposedly huge and extremely valuable held in South America.\",\n \"The appellant hoodwinked over forty victims and bilked millions of dollars from them.\",\n \"The fraudulent activities stretched over a period of more than a decade.\"\n ],\n \"missing_info\": [\n \"The specific section heading or label for classification is not provided.\",\n \"The broader context of the opinion (e.g., which court, parties, or procedural posture) is absent.\",\n \"The relationship between this paragraph and the surrounding text is not given.\"\n ],\n \"context_summary\": \"The text is a paragraph from 1 F.4th 87 that recounts the government's investigation uncovering two fraudulent schemes by an appellant, involving a bank account and an emerald, defrauding over forty victims of millions over more than a decade.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1616_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{
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{"example_id": 1361, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1361\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: We thus find no abuse of discretion in the district court's vacatur of the default.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1361_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1361, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1361\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: We thus find no abuse of discretion in the district court's vacatur of the default.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1361_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1361_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Legal opinion section classification based on function: sections are identified by their primary purpose (e.g., stating conclusion, analyzing law, reciting facts).\",\n \"source\": \"Common legal writing conventions (e.g., judicial opinion structure).\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text expresses a judicial conclusion or holding\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says 'We thus find no abuse of discretion' which is a conclusion. It also mentions the district court's action in a confirmatory way.\"\n },\n {\n \"element\": \"Text contains reasoning or analysis of legal issues\",\n \"satisfied\": \"no\",\n \"evidence\": \"No step-by-step reasoning or application of law to facts; only a direct finding.\"\n },\n {\n \"element\": \"Text recounts procedural history or facts\",\n \"satisfied\": \"no\",\n \"evidence\": \"No mention of procedural steps or factual background.\"\n },\n {\n \"element\": \"Text states a legal rule\",\n \"satisfied\": \"no\",\n \"evidence\": \"No statement of a legal standard or rule; only a finding about whether a standard was violated.\"\n }\n ],\n \"conclusion_logic\": \"If text primarily states a final determination (yes) and lacks reasoning (no reasoning), it aligns with conclusion labels. If it had reasoning, it would align with analysis. If it described prior events, it would align with procedural history or facts. None indicate rule, issue, or decree.\",\n \"uncertainty_notes\": [\n \"The text is very short; it could be a concluding sentence within an analysis paragraph, but the directness suggests it is itself the conclusion.\",\n \"Without more context, it is unclear if this is the final sentence of the opinion or part of a larger reasoning section.\"\n ],\n \"confidence\": 0.85\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_136
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{"example_id": 1361, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1361\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 1\nParagraph: We thus find no abuse of discretion in the district court's vacatur of the default.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1361_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1361_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Legal opinion section classification based on function: sections are identified by their primary purpose (e.g., stating conclusion, analyzing law, reciting facts).\",\n \"source\": \"Common legal writing conventions (e.g., judicial opinion structure).\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text expresses a judicial conclusion or holding\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text says 'We thus find no abuse of discretion' which is a conclusion. It also mentions the district court's action in a confirmatory way.\"\n },\n {\n \"element\": \"Text contains reasoning or analysis of legal issues\",\n \"satisfied\": \"no\",\n \"evidence\": \"No step-by-step reasoning or application of law to facts; only a direct finding.\"\n },\n {\n \"element\": \"Text recounts procedural history or facts\",\n \"satisfied\": \"no\",\n \"evidence\": \"No mention of procedural steps or factual background.\"\n },\n {\n \"element\": \"Text states a legal rule\",\n \"satisfied\": \"no\",\n \"evidence\": \"No statement of a legal standard or rule; only a finding about whether a standard was violated.\"\n }\n ],\n \"conclusion_logic\": \"If text primarily states a final determination (yes) and lacks reasoning (no reasoning), it aligns with conclusion labels. If it had reasoning, it would align with analysis. If it described prior events, it would align with procedural history or facts. None indicate rule, issue, or decree.\",\n \"uncertainty_notes\": [\n \"The text is very short; it could be a concluding sentence within an analysis paragraph, but the directness suggests it is itself the conclusion.\",\n \"Without more context, it is unclear if this is the final sentence of the opinion or part of a larger reasoning section.\"\n ],\n \"confidence\": 0.85\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1361_2", "type":
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{"example_id": 337, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 337\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo the contrary, 'administer' is consistently defined in purely nondiscretionary terms.\" See, e.g., Webster's Third New International Dictionary 27 (1961) (“to manage the affairs of,” “to direct or superintend the execution, use, or conduct of ”); Random House Dictionary of the English Language 26 (2d ed.1987) (“to manage (affairs, a government, etc.); have executive charge of”); Black's Law Dictionary 44 (6th ed. 1990) (“To manage or conduct”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_337_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 337, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 337\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo the contrary, 'administer' is consistently defined in purely nondiscretionary terms.\" See, e.g., Webster's Third New International Dictionary 27 (1961) (“to manage the affairs of,” “to direct or superintend the execution, use, or conduct of ”); Random House Dictionary of the English Language 26 (2d ed.1987) (“to manage (affairs, a government, etc.); have executive charge of”); Black's Law Dictionary 44 (6th ed. 1990) (“To manage or conduct”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_337_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_337_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides multiple dictionary definitions of the word 'administer'.\",\n \"Definitions emphasize nondiscretionary terms like 'manage', 'direct', 'superintend'.\",\n \"Quotes from Webster's, Random House, and Black's Law Dictionary.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches the implied definition or category for classification.\",\n \"Whether the text is considered an instance of the target label (e.g., 'definition').\",\n \"Whether the text's primary purpose is to define a term.\"\n ],\n \"knowledge_slots\": [\n \"Legal definition classification tasks require matching text to a predefined category.\",\n \"Dictionary definitions are typical examples of definitional texts.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not conform to the classification criteria.\",\n \"The text is not intended to be classified as a definition.\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines a term using authoritative sources.\",\n \"The classification task expects identification of definitional texts.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is considered a proper definition.\",\n \"The classification task rewards texts that exemplify the target category.\"\n ],\n \"less_relevant_if\": [\n \"The text is ambiguous or not primarily a definition.\",\n \"The task involves a different aspect beyond content identification.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific classification category or label that the text is being tested against.\"\n ],\n \"fo
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{"example_id": 1195, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1195\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIndeed, the defendant in Patterson characterized Mullaney exactly as the Court has today and we rejected that interpretation:\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1195_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1195, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1195\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIndeed, the defendant in Patterson characterized Mullaney exactly as the Court has today and we rejected that interpretation:\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1195_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1195_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The defendant in Patterson characterized Mullaney exactly as the Court has today\",\n \"The Court's interpretation was rejected in Patterson\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text indicates a match between the defendant's characterization and the Court's interpretation\",\n \"Whether the rejection in Patterson affects the classification\"\n ],\n \"knowledge_slots\": [\n \"Legal precedent often holds that once a Court interprets a statute, lower courts must follow that interpretation unless there is a compelling reason to deviate\",\n \"The specific rule or test being applied in this classification task\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"If the text suggests that the defendant's characterization is not in line with the Court's interpretation\",\n \"If the rejection in Patterson implies that the characterization is invalid\"\n ],\n \"less_relevant_if\": [\n \"If the classification task focuses on formal agreement rather than legal validity\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"If the text indicates that the defendant's characterization aligns with the Court's interpretation\",\n \"If the classification task rewards explicit statements of agreement\"\n ],\n \"less_relevant_if\": [\n \"If the rejection in Patterson shows that the alignment is not legally recognized\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or label being classified\",\n \"The rule or standard for classifying such texts\"\n ],\n \"format_confidence\": 0.8\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1727, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1727\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe Appellants appeal of the reassessments of its reporting periods from January 1, 2005 to June 30, 2009 is allowed and the matter referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the Appellant was not grossly negligent in claiming the input tax credits disallowed by the Minister.\nSigned at Ottawa, Canada this 25th day of November, 2015.\nDavid Graham\nGraham J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1727_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1727, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1727\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe Appellants appeal of the reassessments of its reporting periods from January 1, 2005 to June 30, 2009 is allowed and the matter referred back to the Minister of National Revenue for reconsideration and reassessment on the basis that the Appellant was not grossly negligent in claiming the input tax credits disallowed by the Minister.\nSigned at Ottawa, Canada this 25th day of November, 2015.\nDavid Graham\nGraham J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1727_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1727_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appellants appealed reassessments of reporting periods 2005-2009\",\n \"Appeal allowed and referred back to Minister for reconsideration\",\n \"Appellant not found grossly negligent in claiming input tax credits\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"The text explicitly states the outcome of the appeal\",\n \"The text includes language like 'is allowed' or 'is dismissed'\",\n \"The text describes a remand or final decision\"\n ],\n \"knowledge_slots\": [\n \"In Canadian tax court, 'allowed' means the appeal succeeds\",\n \"'Dismissed' means the appeal fails\",\n \"'Other' covers outcomes like abandoned, withdrawn, or mixed rulings\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text uses 'allowed' or 'granted' for the appeal\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'dismissed' or 'denied'\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text uses 'dismissed' or 'denied' for the appeal\"\n ],\n \"less_relevant_if\": [\n \"The text uses 'allowed' or 'granted'\"\n ]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\n \"The text does not clearly state 'allowed' or 'dismissed'\",\n \"The outcome is ambiguous or procedural (e.g., withdrawn, abandoned)\"\n ],\n \"less_relevant_if\": [\n \"The text clearly states 'allowed' or 'dismissed'\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 109, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 109\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term “political gerrymander” has been defined as “[t]he practice of dividing a geographical area into electoral districts, often of highly irregular shape, to give one political party an unfair advantage by diluting the opposition's voting strength.” Black's Law Dictionary 696 (7th ed.1999).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_109_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 109, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 109\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term “political gerrymander” has been defined as “[t]he practice of dividing a geographical area into electoral districts, often of highly irregular shape, to give one political party an unfair advantage by diluting the opposition's voting strength.” Black's Law Dictionary 696 (7th ed.1999).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_109_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_109_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The term 'political gerrymander' is defined as the practice of dividing a geographical area into electoral districts of highly irregular shape to give one political party an unfair advantage by diluting the opposition's voting strength.\",\n \"The definition is from Black's Law Dictionary, 7th edition (1999), page 696.\"\n ],\n \"missing_info\": [\n \"No additional information is needed; the text provides a complete definition.\"\n ],\n \"context_summary\": \"The text defines 'political gerrymander' as dividing a geographical area into irregular electoral districts to give one party an unfair advantage by diluting the opposition's voting strength, citing Black's Law Dictionary.\",\n \"confidence\": 1.0\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_109_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 109, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 109\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe term “political gerrymander” has been defined as “[t]he practice of dividing a geographical area into electoral districts, often of highly irregular shape, to give one political party an unfair advantage by diluting the opposition's voting strength.” Black's Law Dictionary 696 (7th ed.1999).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_109_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_109_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The term 'political gerrymander' is defined as the practice of dividing a geographical area into electoral districts of highly irregular shape to give one political party an unfair advantage by diluting the opposition's voting strength.\",\n \"The definition is from Black's Law Dictionary, 7th edition (1999), page 696.\"\n ],\n \"missing_info\": [\n \"No additional information is needed; the text provides a complete definition.\"\n ],\n \"context_summary\": \"The text defines 'political gerrymander' as dividing a geographical area into irregular electoral districts to give one party an unfair advantage by diluting the opposition's voting strength, citing Black's Law Dictionary.\",\n \"confidence\": 1.0\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_109_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_109_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'political gerrymander' using a quote from Black's Law Dictionary\",\n \"The quote includes the purpose of diluting opposition voting strength\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text is a definition of a term\",\n \"Whether the definition includes typical elements (term, author, year, descriptive phrase)\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions often follow pattern: 'The term X has been defined as [definition]. Source.'\",\n \"Gerrymandering definition involves district drawing to favor one party.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not a definition (e.g., it is a statement, comment, or non-definition description)\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines a term with a authoritative source
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{"example_id": 64, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 64\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo “relate to” means “ ‘to stand in some relation; to have bearing or concern; to pertain; refer; to bring into association with or connection with.’ ” Morales v. Trans World Airlines, Inc., 504 U.S. 374, 383, 112 S.Ct. 2031, 119 L.Ed.2d 157 (1992) (quoting Black's Law Dictionary 1158 (5th ed. 1979)). In ordinary parlance, one thing can “relate to” another even if it also relates to other things.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_64_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 64, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 64\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo “relate to” means “ ‘to stand in some relation; to have bearing or concern; to pertain; refer; to bring into association with or connection with.’ ” Morales v. Trans World Airlines, Inc., 504 U.S. 374, 383, 112 S.Ct. 2031, 119 L.Ed.2d 157 (1992) (quoting Black's Law Dictionary 1158 (5th ed. 1979)). In ordinary parlance, one thing can “relate to” another even if it also relates to other things.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_64_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_64_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition Classification Criterion: A text is classified as a definition if it explicitly states a term and provides its meaning, often with a citation or explanation of usage.\",\n \"source\": \"LegalBench task guidelines (definition_classification)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text explicitly identifies a term (e.g., uses 'To [term] means')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text begins with 'To “relate to” means' which directly names the term.\"\n },\n {\n \"element\": \"The text provides a definition or explanation of the term's meaning\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It quotes a dictionary definition and also discusses ordinary parlance.\"\n },\n {\n \"element\": \"The text includes a source or authority for the definition (optional but common)\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It cites Morales v. Trans World Airlines and Black's Law Dictionary.\"\n }\n ],\n \"conclusion_logic\": \"If a text explicitly states a term and provides its meaning, preferably with a source or citation, then it satisfies the definition classification criteria and should be assigned the positive label; otherwise assign the negative label.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_64_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 64, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 64\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo “relate to” means “ ‘to stand in some relation; to have bearing or concern; to pertain; refer; to bring into association with or connection with.’ ” Morales v. Trans World Airlines, Inc., 504 U.S. 374, 383, 112 S.Ct. 2031, 119 L.Ed.2d 157 (1992) (quoting Black's Law Dictionary 1158 (5th ed. 1979)). In ordinary parlance, one thing can “relate to” another even if it also relates to other things.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_64_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_64_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition Classification Criterion: A text is classified as a definition if it explicitly states a term and provides its meaning, often with a citation or explanation of usage.\",\n \"source\": \"LegalBench task guidelines (definition_classification)\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text explicitly identifies a term (e.g., uses 'To [term] means')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text begins with 'To “relate to” means' which directly names the term.\"\n },\n {\n \"element\": \"The text provides a definition or explanation of the term's meaning\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It quotes a dictionary definition and also discusses ordinary parlance.\"\n },\n {\n \"element\": \"The text includes a source or authority for the definition (optional but common)\",\n \"satisfied\": \"yes\",\n \"evidence\": \"It cites Morales v. Trans World Airlines and Black's Law Dictionary.\"\n }\n ],\n \"conclusion_logic\": \"If a text explicitly states a term and provides its meaning, preferably with a source or citation, then it satisfies the definition classification criteria and should be assigned the positive label; otherwise assign the negative label.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_64_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_64_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text quotes a court definition of 'relate to' from Black's Law Dictionary\",\n \"Text notes that in ordinary parlance one thing can 'relate to' another even if it relates to others\"\n ],\n \"task_type\": \"
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{"example_id": 353, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 353\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"It would be incronguous to read [§ 188.029] to read this provision, especially the word 'necessary,' to require the performance of tests irrelevant to the expressed statutory purpose of determining viability.\" Webster v. Reproductive Health Serv., 492 U.S. 490, 515 n.13, 109 S.Ct. 3040, 3055 n.13 (1989).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_353_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 353, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 353\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"It would be incronguous to read [§ 188.029] to read this provision, especially the word 'necessary,' to require the performance of tests irrelevant to the expressed statutory purpose of determining viability.\" Webster v. Reproductive Health Serv., 492 U.S. 490, 515 n.13, 109 S.Ct. 3040, 3055 n.13 (1989).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_353_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_353_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text is a legal quote from Webster v. Reproductive Health Serv., discussing interpretation of a statute.\",\n \"The quote debates whether a provision requires tests irrelevant to determining viability.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text primarily defines a term or states an argument about statutory interpretation\",\n \"The presence of legal terminology and citation suggests a legal opinion rather than a definition\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions are typically explicit (e.g., 'means') and objective\",\n \"Court quotes often illustrate interpretive principles rather than provide definitions\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is recognized as a legal opinion or argument, not a definition\"\n ],\n \"less_relevant_if\": [\n \"The text contains a clear definition of a term\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is considered to define a legal concept or standard\"\n ],\n \"less_relevant_if\": [\n \"The text is interpreted as a statement of disagreement or interpretive method\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or standard the text is supposed to represent\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 776, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 776\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWe have likewise established the Miranda exclusionary rule as a prophylactic measure to prevent violations of the right protected by the text of the Self-Incrimination Clause — the admission into evidence in a criminal case of confessions obtained through coercive custodial questioning.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_776_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 776, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 776\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nWe have likewise established the Miranda exclusionary rule as a prophylactic measure to prevent violations of the right protected by the text of the Self-Incrimination Clause — the admission into evidence in a criminal case of confessions obtained through coercive custodial questioning.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_776_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_776_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses Miranda exclusionary rule as prophylactic measure\",\n \"Text mentions Self-Incrimination Clause and coercive custodial questioning\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a legal term or concept\",\n \"Whether the text primarily describes a rule or its underlying principle\",\n \"Whether the text is structured as a definition (e.g., 'X is Y') or as a statement of law\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require identifying if a passage defines a term\",\n \"Prophylactic measures are often linked to constitutional rights and remedies\",\n \"Miranda rule protects against self-incrimination in custodial interrogation\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text is more descriptive of a rule's purpose than a definition\",\n \"Text does not explicitly state 'X is Y' or define a term\"\n ],\n \"less_relevant_if\": [\n \"Text includes a clear definitional statement or characterization of a legal concept\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text provides a definition or essential characteristic of a legal concept\",\n \"Text explains what the Miranda rule is in a definitional manner\"\n ],\n \"less_relevant_if\": [\n \"Text only discusses application or history without defining a term\"\n ]\n }\n ],\n \"missing_information\": [\n \"Explicit annotation guidelines for 'definition' vs 'non-definition' in this task\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2177, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2177\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Energy Independence and Security Act of 2007 to promote energy efficiency via information and computing technologies, and for other purposes.\nbill_summary: Energy Efficient Government Technology Act \n\nThis bill sets forth requirements with respect to increasing the energy efficiency of information technologies and data centers within the federal government.\n\n Specifically, this bill requires each federal agency to coordinate with the Office of Management and Budget, the Department of Energy (DOE), and the Environmental Protection Agency to develop an implementation strategy for the maintenance, purchase, and use of energy-efficient and energy-saving information technologies at or for federally owned and operated facilities.\n\nDOE must (1) maintain a data center energy practitioner program that leads to the certification of energy practitioners qualified to evaluate the energy usage and efficiency opportunities in federally owned and operated data centers; and (2) establish an open data initiative to make information about federal data center energy usage available and accessible in a manner that encourages data center innovation, optimization, and consolidation.\ncompany_name: Altair Engineering, Inc.\ncompany_description: \"our\") is a global technology company providing software and cloud solutions in the areas of product design and development, high performance cloud computing, and data intelligence. Our simulation-driven approach to innovation is powered by our broad portfolio of high-fidelity and high-performance physics solvers. Our integrated suite of software optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling, and embedded systems, while also providing data intelligence and true-to-life visualization and rendering. Our high-performance cloud computing solutions maximize the efficient utilization of complex compute resources and streamline the workflow management of compute-intensive tasks for applications including data intelligence, modeling and simulation, and visualization. Our data intelligence products include market leading data preparation, data science and visualization solutions that fuel engineering, scientific, and business decisions. This culture is important because it helps attract and retain top people, encourages innovation and teamwork, and enhances our focus on achieving Altair's corporate objectives. Products Rising expectations of end-market customers are causing expansion of the application of simulation and data intelligence across many industry verticals. Our engineering, simulation, and data intelligence software enables customers to enhance pro
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{"example_id": 2177, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2177\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To amend the Energy Independence and Security Act of 2007 to promote energy efficiency via information and computing technologies, and for other purposes.\nbill_summary: Energy Efficient Government Technology Act \n\nThis bill sets forth requirements with respect to increasing the energy efficiency of information technologies and data centers within the federal government.\n\n Specifically, this bill requires each federal agency to coordinate with the Office of Management and Budget, the Department of Energy (DOE), and the Environmental Protection Agency to develop an implementation strategy for the maintenance, purchase, and use of energy-efficient and energy-saving information technologies at or for federally owned and operated facilities.\n\nDOE must (1) maintain a data center energy practitioner program that leads to the certification of energy practitioners qualified to evaluate the energy usage and efficiency opportunities in federally owned and operated data centers; and (2) establish an open data initiative to make information about federal data center energy usage available and accessible in a manner that encourages data center innovation, optimization, and consolidation.\ncompany_name: Altair Engineering, Inc.\ncompany_description: \"our\") is a global technology company providing software and cloud solutions in the areas of product design and development, high performance cloud computing, and data intelligence. Our simulation-driven approach to innovation is powered by our broad portfolio of high-fidelity and high-performance physics solvers. Our integrated suite of software optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling, and embedded systems, while also providing data intelligence and true-to-life visualization and rendering. Our high-performance cloud computing solutions maximize the efficient utilization of complex compute resources and streamline the workflow management of compute-intensive tasks for applications including data intelligence, modeling and simulation, and visualization. Our data intelligence products include market leading data preparation, data science and visualization solutions that fuel engineering, scientific, and business decisions. This culture is important because it helps attract and retain top people, encourages innovation and teamwork, and enhances our focus on achieving Altair's corporate objectives. Products Rising expectations of end-market customers are causing expansion of the application of simulation and data intelligence across many industry verticals. Our engineering, simulation, and data intelligence software enables customers to enhance pro
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{"example_id": 1409, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1409\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: The United States Secretary of Labor (Secretary) petitions for review of its Federal Mine Safety and Health Review Commission's (Commission or FMSHRC) vacatur of an order (Order) issued pursuant to section 103(k) of the Federal Mine Safety and Health Act of 1977 (Mine Act), 30 U.S.C. §§ 801 et seq.1 After a miner fell ill at one of M-Class Mining's (M-Class) mines and a doctor attributed the miner's illness to carbon monoxide (CO) poisoning, a Mine Safety and Health Administration (MSHA) inspector issued the Order to close part of the mine for an investigation. After a few hours of investigation, the MSHA Inspector allowed mine operations to resume and subsequently limited the Order to a single piece of equipment. MSHA eventually terminated the modified Order but M-Class still sought vacatur, arguing MSHA had erroneously issued the Order. After an administrative law judge (ALJ) upheld the Order, the Commission vacated it, concluding substantial evidence—including information MSHA did not know at the time the Order issued—did *20 **392 not support a finding that an accident had occurred. Because the case is moot, we dismiss the petition, vacate the Commission decision and the Order consistent with Tennessee Gas Pipeline Co. v. Federal Power Commission, 606 F.2d 1373 (D.C. Cir. 1979) and A.L. Mechling Barge Lines, Inc. v. United States, 368 U.S. 324, 82 S.Ct. 337, 7 L.Ed.2d 317 (1961), and remand for proceedings consistent with this opinion.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1409_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1409, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1409\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: The United States Secretary of Labor (Secretary) petitions for review of its Federal Mine Safety and Health Review Commission's (Commission or FMSHRC) vacatur of an order (Order) issued pursuant to section 103(k) of the Federal Mine Safety and Health Act of 1977 (Mine Act), 30 U.S.C. §§ 801 et seq.1 After a miner fell ill at one of M-Class Mining's (M-Class) mines and a doctor attributed the miner's illness to carbon monoxide (CO) poisoning, a Mine Safety and Health Administration (MSHA) inspector issued the Order to close part of the mine for an investigation. After a few hours of investigation, the MSHA Inspector allowed mine operations to resume and subsequently limited the Order to a single piece of equipment. MSHA eventually terminated the modified Order but M-Class still sought vacatur, arguing MSHA had erroneously issued the Order. After an administrative law judge (ALJ) upheld the Order, the Commission vacated it, concluding substantial evidence—including information MSHA did not know at the time the Order issued—did *20 **392 not support a finding that an accident had occurred. Because the case is moot, we dismiss the petition, vacate the Commission decision and the Order consistent with Tennessee Gas Pipeline Co. v. Federal Power Commission, 606 F.2d 1373 (D.C. Cir. 1979) and A.L. Mechling Barge Lines, Inc. v. United States, 368 U.S. 324, 82 S.Ct. 337, 7 L.Ed.2d 317 (1961), and remand for proceedings consistent with this opinion.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1409_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1409_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The United States Secretary of Labor petitions for review of the Federal Mine Safety and Health Review Commission's vacatur of an order.\",\n \"The order was issued pursuant to section 103(k) of the Federal Mine Safety and Health Act of 1977.\",\n \"A miner fell ill and a doctor attributed the illness to carbon monoxide poisoning.\",\n \"A Mine Safety and Health Administration inspector issued an order to close part of the mine for investigation.\",\n \"The MSHA inspector allowed operations to resume after a few hours of investigation.\",\n \"The
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{"example_id": 1409, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1409\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: The United States Secretary of Labor (Secretary) petitions for review of its Federal Mine Safety and Health Review Commission's (Commission or FMSHRC) vacatur of an order (Order) issued pursuant to section 103(k) of the Federal Mine Safety and Health Act of 1977 (Mine Act), 30 U.S.C. §§ 801 et seq.1 After a miner fell ill at one of M-Class Mining's (M-Class) mines and a doctor attributed the miner's illness to carbon monoxide (CO) poisoning, a Mine Safety and Health Administration (MSHA) inspector issued the Order to close part of the mine for an investigation. After a few hours of investigation, the MSHA Inspector allowed mine operations to resume and subsequently limited the Order to a single piece of equipment. MSHA eventually terminated the modified Order but M-Class still sought vacatur, arguing MSHA had erroneously issued the Order. After an administrative law judge (ALJ) upheld the Order, the Commission vacated it, concluding substantial evidence—including information MSHA did not know at the time the Order issued—did *20 **392 not support a finding that an accident had occurred. Because the case is moot, we dismiss the petition, vacate the Commission decision and the Order consistent with Tennessee Gas Pipeline Co. v. Federal Power Commission, 606 F.2d 1373 (D.C. Cir. 1979) and A.L. Mechling Barge Lines, Inc. v. United States, 368 U.S. 324, 82 S.Ct. 337, 7 L.Ed.2d 317 (1961), and remand for proceedings consistent with this opinion.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1409_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1409_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The United States Secretary of Labor petitions for review of the Federal Mine Safety and Health Review Commission's vacatur of an order.\",\n \"The order was issued pursuant to section 103(k) of the Federal Mine Safety and Health Act of 1977.\",\n \"A miner fell ill and a doctor attributed the illness to carbon monoxide poisoning.\",\n \"A Mine Safety and Health Administration inspector issued an order to close part of the mine for investigation.\",\n \"The MSHA inspector allowed operations to resume after a few hours of investigation.\",\n \"The
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{"example_id": 2052, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2052\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To ensure election security, enhance Americans' access to the ballot box, reduce the influence of big money in politics through transparency, establish accountability and integrity measures for Congress, and strengthen ethics rules for public servants, and for other purposes.\nbill_summary: Nonpartisan Bill For the People Act of 2019\n\nThis bill addresses voter registration, congressional redistricting, election security, political spending, and ethics for the three branches of government.\n\nThe bill provides for the automatic registration of eligible voters.\n\nVoters must present identification to vote.\n\nThe bill requires states to hold open primaries.\n\n\n\nThe bill provides for states to establish independent, nonpartisan redistricting commissions.\n\nThe bill also sets forth provisions related to election security, including sharing intelligence information with state election officials, protecting the security of the voter rolls, supporting states in securing their election systems, developing a national strategy to protect the security and integrity of U.S. democratic institutions, establishing in the legislative branch the National Commission to Protect United States Democratic Institutions, and other provisions to improve the cybersecurity of election systems.\n\nThis bill addresses campaign spending, including by expanding the ban on foreign nationals contributing to or spending on elections; expanding disclosure rules pertaining to organizations spending money during elections, campaign advertisements, and online platforms; and revising disclaimer requirements for political advertising.\n\n\n\nThis bill sets forth provisions related to ethics in all three branches of government. Specifically, the bill requires a code of ethics for federal judges and justices, prohibits Members of the House from serving on the board of a for-profit entity, expands enforcement of regulations governing foreign agents, and establishes additional conflict-of-interest and ethics provisions for federal employees and the White House.\n\nThe bill also requires candidates for President, Vice President, and Congress to submit 10 years of tax returns.\ncompany_name: Qorvo, Inc.\ncompany_description: (\"TriQuint\") entered into an Agreement and Plan of Merger and Reorganization as subsequently amended on July 15, 2014 (the \"Merger Agreement\"), providing for the combination of RFMD and TriQuint in a merger of equals (the \"Business Combination\") under a new holding company named Company Overview Qorvo® is a product and technology leader at the forefront of the growing global demand for always-on broadband connectivity. We combine a broad portfolio of radio frequency (\"RF\") solutions, highly differentiated
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{"example_id": 2052, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2052\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To ensure election security, enhance Americans' access to the ballot box, reduce the influence of big money in politics through transparency, establish accountability and integrity measures for Congress, and strengthen ethics rules for public servants, and for other purposes.\nbill_summary: Nonpartisan Bill For the People Act of 2019\n\nThis bill addresses voter registration, congressional redistricting, election security, political spending, and ethics for the three branches of government.\n\nThe bill provides for the automatic registration of eligible voters.\n\nVoters must present identification to vote.\n\nThe bill requires states to hold open primaries.\n\n\n\nThe bill provides for states to establish independent, nonpartisan redistricting commissions.\n\nThe bill also sets forth provisions related to election security, including sharing intelligence information with state election officials, protecting the security of the voter rolls, supporting states in securing their election systems, developing a national strategy to protect the security and integrity of U.S. democratic institutions, establishing in the legislative branch the National Commission to Protect United States Democratic Institutions, and other provisions to improve the cybersecurity of election systems.\n\nThis bill addresses campaign spending, including by expanding the ban on foreign nationals contributing to or spending on elections; expanding disclosure rules pertaining to organizations spending money during elections, campaign advertisements, and online platforms; and revising disclaimer requirements for political advertising.\n\n\n\nThis bill sets forth provisions related to ethics in all three branches of government. Specifically, the bill requires a code of ethics for federal judges and justices, prohibits Members of the House from serving on the board of a for-profit entity, expands enforcement of regulations governing foreign agents, and establishes additional conflict-of-interest and ethics provisions for federal employees and the White House.\n\nThe bill also requires candidates for President, Vice President, and Congress to submit 10 years of tax returns.\ncompany_name: Qorvo, Inc.\ncompany_description: (\"TriQuint\") entered into an Agreement and Plan of Merger and Reorganization as subsequently amended on July 15, 2014 (the \"Merger Agreement\"), providing for the combination of RFMD and TriQuint in a merger of equals (the \"Business Combination\") under a new holding company named Company Overview Qorvo® is a product and technology leader at the forefront of the growing global demand for always-on broadband connectivity. We combine a broad portfolio of radio frequency (\"RF\") solutions, highly differentiated
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{"example_id": 2052, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2052\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To ensure election security, enhance Americans' access to the ballot box, reduce the influence of big money in politics through transparency, establish accountability and integrity measures for Congress, and strengthen ethics rules for public servants, and for other purposes.\nbill_summary: Nonpartisan Bill For the People Act of 2019\n\nThis bill addresses voter registration, congressional redistricting, election security, political spending, and ethics for the three branches of government.\n\nThe bill provides for the automatic registration of eligible voters.\n\nVoters must present identification to vote.\n\nThe bill requires states to hold open primaries.\n\n\n\nThe bill provides for states to establish independent, nonpartisan redistricting commissions.\n\nThe bill also sets forth provisions related to election security, including sharing intelligence information with state election officials, protecting the security of the voter rolls, supporting states in securing their election systems, developing a national strategy to protect the security and integrity of U.S. democratic institutions, establishing in the legislative branch the National Commission to Protect United States Democratic Institutions, and other provisions to improve the cybersecurity of election systems.\n\nThis bill addresses campaign spending, including by expanding the ban on foreign nationals contributing to or spending on elections; expanding disclosure rules pertaining to organizations spending money during elections, campaign advertisements, and online platforms; and revising disclaimer requirements for political advertising.\n\n\n\nThis bill sets forth provisions related to ethics in all three branches of government. Specifically, the bill requires a code of ethics for federal judges and justices, prohibits Members of the House from serving on the board of a for-profit entity, expands enforcement of regulations governing foreign agents, and establishes additional conflict-of-interest and ethics provisions for federal employees and the White House.\n\nThe bill also requires candidates for President, Vice President, and Congress to submit 10 years of tax returns.\ncompany_name: Qorvo, Inc.\ncompany_description: (\"TriQuint\") entered into an Agreement and Plan of Merger and Reorganization as subsequently amended on July 15, 2014 (the \"Merger Agreement\"), providing for the combination of RFMD and TriQuint in a merger of equals (the \"Business Combination\") under a new holding company named Company Overview Qorvo® is a product and technology leader at the forefront of the growing global demand for always-on broadband connectivity. We combine a broad portfolio of radio frequency (\"RF\") solutions, highly differentiated
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{"example_id": 580, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 580\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe last two verbs, “falsif[y]” and “mak[e] a false entry in,” typically take as grammatical objects records, documents, or things used to record or preserve information, such as logbooks or hard drives. See, e.g., Black's Law Dictionary 720 (10th ed. 2014) (defining “falsify” as “[t]o make deceptive; to counterfeit, forge, or misrepresent; esp., to tamper with (a document, record, etc.)”). It would be unnatural, for example, to describe a killer's act of wiping his fingerprints from a gun as “falsifying” the murder weapon. But it would not be strange to refer to “falsifying” data stored on a hard drive as simply “falsifying” a hard drive.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_580_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 580, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 580\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe last two verbs, “falsif[y]” and “mak[e] a false entry in,” typically take as grammatical objects records, documents, or things used to record or preserve information, such as logbooks or hard drives. See, e.g., Black's Law Dictionary 720 (10th ed. 2014) (defining “falsify” as “[t]o make deceptive; to counterfeit, forge, or misrepresent; esp., to tamper with (a document, record, etc.)”). It would be unnatural, for example, to describe a killer's act of wiping his fingerprints from a gun as “falsifying” the murder weapon. But it would not be strange to refer to “falsifying” data stored on a hard drive as simply “falsifying” a hard drive.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_580_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_580_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses the verb 'falsify' and its typical grammatical objects (records, documents).\",\n \"Examples given: wiping fingerprints from a gun is not 'falsifying' a gun, but 'falsifying' data on a hard drive is natural.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition or explanation of a term.\",\n \"Whether the text uses examples to illustrate proper usage.\",\n \"Whether the text contrasts incorrect usage with correct usage.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks assess if a text defines a term, often using examples and contrasts.\",\n \"Legal definitions may specify grammatical objects or subject matter.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not provide a definition but rather discusses usage examples.\",\n \"The text lacks a clear statement of what 'falsify' means.\"\n ],\n \"less_relevant_if\": [\n \"The text uses a dictionary definition and examples to explain the term.\",\n \"The text explicitly contrasts natural and unnatural uses of the verb.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text begins with 'typically take as grammatical objects' and references a dictionary definition.\",\n \"The text provides both a definition and usage examples.\"\n ],\n \"less_relevant_if\": [\n \"The text is primarily about exampl
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{"example_id": 615, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 615\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"'Per curiam' is a Latin phrase meaning '[b]y the court,' which should distinguish an opinion of the whole Court from an opinion written by any one Justice.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_615_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 615, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 615\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"'Per curiam' is a Latin phrase meaning '[b]y the court,' which should distinguish an opinion of the whole Court from an opinion written by any one Justice.\"\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_615_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_615_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'Per curiam' as a Latin phrase meaning 'by the court'\",\n \"Text states the definition distinguishes court opinion from Justice opinion\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a term\",\n \"Whether the text explains the meaning or usage of a term\"\n ],\n \"knowledge_slots\": [\n \"A definition typically states the meaning, sense, or essential attributes of a term or concept\",\n \"Legal definitions often use authoritative language and may include etymology\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not provide a definition but rather an opinion or comment\",\n \"The text is ambiguous or incomplete as a definition\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines a term with explanatory language\",\n \"The text meets standard criteria for a definition\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text explicitly states the meaning of a term, distinguishing its use from others\",\n \"The text employs definitional phrasing such as 'means' or 'is a Latin phrase meaning'\"\n ],\n \"less_relevant_if\": [\n \"The text lacks definitional structure or is primarily an opinion\",\n \"The text does not aim to define but to describe or argue\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1900, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1900\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from assessments made under the Income Tax Act for the 1994, 1995, 1996 and 1997 taxation years are dismissed with costs in accordance with the attached reasons for judgment.\nSigned at Ottawa, Canada, this 16th day of October 2003.\n\"Franois Angers\"\nAngers, J.\nTranslation certified true\non this 24th day of March 2004.\nGerald Woodard, Translator\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1900_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1900, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1900\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from assessments made under the Income Tax Act for the 1994, 1995, 1996 and 1997 taxation years are dismissed with costs in accordance with the attached reasons for judgment.\nSigned at Ottawa, Canada, this 16th day of October 2003.\n\"Franois Angers\"\nAngers, J.\nTranslation certified true\non this 24th day of March 2004.\nGerald Woodard, Translator\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1900_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1900_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Appeals from income tax assessments for 1994-1997 taxation years\",\n \"Appeals are dismissed with costs\",\n \"Judgment date October 16, 2003\",\n \"Signed by Judge Franois Angers\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of explicit outcome statement in the text\",\n \"Consistency of terms like 'dismissed' versus 'allowed'\",\n \"Absence of ambiguous or procedural language\"\n ],\n \"knowledge_slots\": [\n \"In legal judgments, 'dismissed' means appeal rejected\",\n \"'Allowed' means appeal granted\",\n \"'Other' covers cases with no clear outcome or mixed rulings\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text contains words like 'allowed', 'granted', or 'appeals are allowed'\"\n ],\n \"less_relevant_if\": [\n \"Text explicitly uses 'dismissed' or 'rejected'\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text contains explicit statement 'appeals are dismissed'\"\n ],\n \"less_relevant_if\": [\n \"Text uses 'allowed' or 'granted'\"\n ]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\n \"Text lacks clear outcome language or is non-English\",\n \"Outcome is ambiguous (e.g., 'partially allowed', 'tied') or procedural\"\n ],\n \"less_relevant_if\": [\n \"Text has unambiguous 'dismissed' or 'allowed' outcome\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1850, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1850\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessments made under the Income Tax Act for the 2006 and 2007 taxation years is dismissed with costs to the Respondent.\nSigned at Ottawa, Canada, this 20th day of April 2015.\nF.J. Pizzitelli\nPizzitelli J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1850_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1850, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1850\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessments made under the Income Tax Act for the 2006 and 2007 taxation years is dismissed with costs to the Respondent.\nSigned at Ottawa, Canada, this 20th day of April 2015.\nF.J. Pizzitelli\nPizzitelli J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1850_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1850_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal from reassessments under the Income Tax Act for the 2006 and 2007 taxation years is dismissed with costs to the Respondent.\",\n \"The decision was signed on April 20, 2015 by Pizzitelli J.\",\n \"The classification task is to label Canada Tax Court outcomes as allowed, dismissed, or other.\"\n ],\n \"missing_info\": [\n \"No additional context or details about the case are provided.\"\n ],\n \"context_summary\": \"The appeal from Income Tax Act reassessments for 2006 and 2007 is dismissed with costs to the Respondent, per a Tax Court decision signed April 20, 2015.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1850_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1850, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1850\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeal from the reassessments made under the Income Tax Act for the 2006 and 2007 taxation years is dismissed with costs to the Respondent.\nSigned at Ottawa, Canada, this 20th day of April 2015.\nF.J. Pizzitelli\nPizzitelli J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1850_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1850_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The appeal from reassessments under the Income Tax Act for the 2006 and 2007 taxation years is dismissed with costs to the Respondent.\",\n \"The decision was signed on April 20, 2015 by Pizzitelli J.\",\n \"The classification task is to label Canada Tax Court outcomes as allowed, dismissed, or other.\"\n ],\n \"missing_info\": [\n \"No additional context or details about the case are provided.\"\n ],\n \"context_summary\": \"The appeal from Income Tax Act reassessments for 2006 and 2007 is dismissed with costs to the Respondent, per a Tax Court decision signed April 20, 2015.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1850_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1850_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text states the appeal is dismissed with costs to the Respondent.\",\n \"The decision was signed on April 20, 2015 by Pizzitelli J.\"\n ],\n \"task_type\": \"legal_outcome_classification\",\n \"decision_factors\": [\n \"Presence of the word 'dismissed' in the text.\",\n \"Absence of words like 'allowed' or 'granted'.\",\n \"Standard phrasing for court outcomes in tax appeals.\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'dismissed' means the appeal is rejected.\",\n \"Canadian Tax Court decisions typically use 'allowed' or 'dismissed' for outcomes.\",\n \"Costs awarded to the respondent in a dismissed appeal are usually in favor of the appellant.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text contains the word 'allowed' or 'granted'.\",\n \"The decision language indicates the appeal succeeded.\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly uses 'dismissed'.\",\n \"The text mentions costs to the
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{"example_id": 1059, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1059\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is true, he may appoint an executor, which appointment it is provided is to be at once communicated to the testamentary judge.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1059_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1059, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1059\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is true, he may appoint an executor, which appointment it is provided is to be at once communicated to the testamentary judge.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1059_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1059_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification: A text is classified as 'Yes' if it meets all criteria of a predefined legal definition, otherwise 'No'.\", \"source\": \"LegalBench definition_classification task guidelines\"}\n ],\n \"elements\": [\n {\"element\": \"The text must describe an action that can be taken by a named party under specific conditions.\", \"satisfied\": \"yes\", \"evidence\": \"The text states 'he may appoint an executor' indicating permission to appoint, and the appointment must be communicated to the testamentary judge.\"},\n {\"element\": \"The text must contain a requirement to communicate the action to an authority.\", \"satisfied\": \"yes\", \"evidence\": \"The text specifies 'appointment ... is to be at once communicated to the testamentary judge'.\"}\n ],\n \"conclusion_logic\": \"If the text includes both an authorization to appoint an executor and a communication requirement to a specified authority, then it satisfies the definition's elements, leading to the affirmative classification; otherwise, it does not.\",\n \"uncertainty_notes\": [\"The exact definition against which to classify is not provided in the input; the rule and elements are inferred from the task name and typical legal definition structures.\"],\n \"confidence\": 0.7\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1059_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1059, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1059\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIt is true, he may appoint an executor, which appointment it is provided is to be at once communicated to the testamentary judge.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1059_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1059_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification: A text is classified as 'Yes' if it meets all criteria of a predefined legal definition, otherwise 'No'.\", \"source\": \"LegalBench definition_classification task guidelines\"}\n ],\n \"elements\": [\n {\"element\": \"The text must describe an action that can be taken by a named party under specific conditions.\", \"satisfied\": \"yes\", \"evidence\": \"The text states 'he may appoint an executor' indicating permission to appoint, and the appointment must be communicated to the testamentary judge.\"},\n {\"element\": \"The text must contain a requirement to communicate the action to an authority.\", \"satisfied\": \"yes\", \"evidence\": \"The text specifies 'appointment ... is to be at once communicated to the testamentary judge'.\"}\n ],\n \"conclusion_logic\": \"If the text includes both an authorization to appoint an executor and a communication requirement to a specified authority, then it satisfies the definition's elements, leading to the affirmative classification; otherwise, it does not.\",\n \"uncertainty_notes\": [\"The exact definition against which to classify is not provided in the input; the rule and elements are inferred from the task name and typical legal definition structures.\"],\n \"confidence\": 0.7\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1059_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1059_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text mentions appointing an executor\",\n \"Appointment must be communicated to testamentary judge\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches the legal definition being used for classification\",\n \"Presence of required elements from the definition in the text\"\n ],\n \"knowledge_slots\": [\n \"The specific legal definition or criteria for the classification in this task\",\n \"Common elements of definitions in legal classification tasks\"\n ],\n \"candidate_co
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{"example_id": 940, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 940\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe signal, according to Powell, was a nod of his head.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_940_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 940, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 940\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe signal, according to Powell, was a nod of his head.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_940_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_940_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The signal was described as a nod of his head according to Powell.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches the unstated definition label for classification.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require comparing text to a predefined label.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not exemplify the definition being tested.\"\n ],\n \"less_relevant_if\": [\n \"The text does exemplify the definition.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text does exemplify the definition being tested.\"\n ],\n \"less_relevant_if\": [\n \"The text does not exemplify the definition.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The actual definition or category that the text is being classified into.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 2777, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2777\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: i. Bing and MSN Materials. The articles, text, photos, maps, videos, video players, and third-party material available on Bing and MSN, including through Microsoft bots, applications and programs, are for your noncommercial, personal use only. Other uses, including downloading, copying, or redistributing these materials, or using these materials or products to build your own products, are permitted only to the extent specifically authorized by Microsoft or rights holders, or allowed by applicable copyright law. Microsoft or other rights holders reserve all rights to the material not expressly granted by Microsoft under the license terms, whether by implication, estoppel, or otherwise.\nii. Bing Maps. You may not use Birds eye imagery of the United States, Canada, Mexico, New Zealand, Australia or Japan for governmental use without our separate written approval.\niii. Bing Places and Bing Manufacturer Center. When you provide your Data or Your Content to Bing Places or Bing Manufacturer Center, you grant Microsoft a worldwide, royalty-free intellectual property license to use, reproduce, save, modify, aggregate, promote, transmit, display or distribute as part of a service, and sub-license those rights to third parties.\nquestion: As a general rule, can I use Bing and MSN content for my business?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2777_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2777, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2777\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: i. Bing and MSN Materials. The articles, text, photos, maps, videos, video players, and third-party material available on Bing and MSN, including through Microsoft bots, applications and programs, are for your noncommercial, personal use only. Other uses, including downloading, copying, or redistributing these materials, or using these materials or products to build your own products, are permitted only to the extent specifically authorized by Microsoft or rights holders, or allowed by applicable copyright law. Microsoft or other rights holders reserve all rights to the material not expressly granted by Microsoft under the license terms, whether by implication, estoppel, or otherwise.\nii. Bing Maps. You may not use Birds eye imagery of the United States, Canada, Mexico, New Zealand, Australia or Japan for governmental use without our separate written approval.\niii. Bing Places and Bing Manufacturer Center. When you provide your Data or Your Content to Bing Places or Bing Manufacturer Center, you grant Microsoft a worldwide, royalty-free intellectual property license to use, reproduce, save, modify, aggregate, promote, transmit, display or distribute as part of a service, and sub-license those rights to third parties.\nquestion: As a general rule, can I use Bing and MSN content for my business?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2777_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2777_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The contract states content is for noncommercial, personal use only.\",\n \"Other uses, including commercial use, are permitted only if specifically authorized or allowed by law.\",\n \"No explicit permission or authorization is mentioned for business use in the excerpt.\"\n ],\n \"task_type\": \"contract_interpretation\",\n \"decision_factors\": [\n \"Whether the contract explicitly permits commercial or business use.\",\n \"Whether the default term 'noncommercial, personal use only' bars business use.\",\n \"Whether any exceptions (authorized use or copyright law) apply to business use.\"\n ],\n \"knowledge_slots\": [\n \"Contract interpretation: express permission required for commercial use when license is limited to personal use.\",\n \"Default rule that no authorization means use is prohibited unless otherwise stated.\",\n \"Applicable copyright law may allow some uses but does not
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{"example_id": 1495, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1495\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 34\nParagraph: Thus, at every critical turn, the Commission made clear that its decision making regarding the three challenged features remained unconsummated. Or in the words of Bennett, the Governance Order did not “mark the consummation of the agency's decisionmaking process[;]” rather, it was “merely tentative” and “interlocutory.” 520 U.S. at 178, 117 S.Ct. 1154 (internal quotation marks omitted). To be sure, Commission counsel now argues that the Governance Order is final, but “[p]ost hoc explanation by appellate counsel ... is not an acceptable foundation for review of agency action.” American Trading Transportation Co. v. United States, 841 F.2d 421, 424 (D.C. Cir. 1988). Critical for our purposes is what the Commission has said, and the Commission has repeatedly signaled that its thinking about the three challenged features is not final. This should come as no surprise to lead petitioner Nasdaq, which attached the exchanges’ opening brief in this case to its comment on the proposed plan, writing that “[a]ll of the statements set forth in ... the opening brief filed on behalf of Nasdaq and the other petitioners in the Court of Appeals ... are incorporated herein by reference,” and that “[f]or all of the reasons stated therein, the Commission should disapprove the proposed Plan.” The Nasdaq Stock Market, LLC, Comment Letter on the Notice of filing of a National Market System Plan Regarding Consolidated Equity Market Data (Nov. 12, 2020), http://www.sec.gov/comments/4-757/4757-8011769-225419.pdf. Why would Nasdaq have done that unless it believed, contrary to what it asserts here, that the Governance Order was not final?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1495_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1495, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1495\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 34\nParagraph: Thus, at every critical turn, the Commission made clear that its decision making regarding the three challenged features remained unconsummated. Or in the words of Bennett, the Governance Order did not “mark the consummation of the agency's decisionmaking process[;]” rather, it was “merely tentative” and “interlocutory.” 520 U.S. at 178, 117 S.Ct. 1154 (internal quotation marks omitted). To be sure, Commission counsel now argues that the Governance Order is final, but “[p]ost hoc explanation by appellate counsel ... is not an acceptable foundation for review of agency action.” American Trading Transportation Co. v. United States, 841 F.2d 421, 424 (D.C. Cir. 1988). Critical for our purposes is what the Commission has said, and the Commission has repeatedly signaled that its thinking about the three challenged features is not final. This should come as no surprise to lead petitioner Nasdaq, which attached the exchanges’ opening brief in this case to its comment on the proposed plan, writing that “[a]ll of the statements set forth in ... the opening brief filed on behalf of Nasdaq and the other petitioners in the Court of Appeals ... are incorporated herein by reference,” and that “[f]or all of the reasons stated therein, the Commission should disapprove the proposed Plan.” The Nasdaq Stock Market, LLC, Comment Letter on the Notice of filing of a National Market System Plan Regarding Consolidated Equity Market Data (Nov. 12, 2020), http://www.sec.gov/comments/4-757/4757-8011769-225419.pdf. Why would Nasdaq have done that unless it believed, contrary to what it asserts here, that the Governance Order was not final?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1495_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1495_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Commission argued Governance Order was final\",\n \"Nasdaq incorporated brief referencing the Governance Order\",\n \"Court found Commission's post-hoc explanation not acceptable\",\n \"Commission repeatedly signaled thinking was not final\",\n \"Nasdaq comment letter is cited as evidence of belief\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether text
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{"example_id": 299, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 299\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs San Antonio notes, the word \"taxable\" can be used to describe something that may, but need not necessarily, be taxed. See, e.g., Random Hosue Dictionary of the English Language 1947 (2d ed. 1987) (defining \"taxable\" as \"capable of being taxed\"); Webster's Third New International Dictionary 2345 (1976) (same)....\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_299_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 299, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 299\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs San Antonio notes, the word \"taxable\" can be used to describe something that may, but need not necessarily, be taxed. See, e.g., Random Hosue Dictionary of the English Language 1947 (2d ed. 1987) (defining \"taxable\" as \"capable of being taxed\"); Webster's Third New International Dictionary 2345 (1976) (same)....\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_299_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_299_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The word 'taxable' can be used to describe something that may, but need not necessarily, be taxed.\",\n \"Random House Dictionary (1947) defines 'taxable' as 'capable of being taxed'.\",\n \"Webster's Third New International Dictionary (1976) also defines 'taxable' as 'capable of being taxed'.\"\n ],\n \"missing_info\": [\n \"The specific criteria for classifying a text as 'Yes' or 'No' in this definition_classification task are not provided.\"\n ],\n \"context_summary\": \"The text discusses the definition of 'taxable', citing dictionaries indicating it means capable of being taxed, and notes that it does not necessarily mean actually taxed.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_299_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 299, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 299\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAs San Antonio notes, the word \"taxable\" can be used to describe something that may, but need not necessarily, be taxed. See, e.g., Random Hosue Dictionary of the English Language 1947 (2d ed. 1987) (defining \"taxable\" as \"capable of being taxed\"); Webster's Third New International Dictionary 2345 (1976) (same)....\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_299_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_299_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The word 'taxable' can be used to describe something that may, but need not necessarily, be taxed.\",\n \"Random House Dictionary (1947) defines 'taxable' as 'capable of being taxed'.\",\n \"Webster's Third New International Dictionary (1976) also defines 'taxable' as 'capable of being taxed'.\"\n ],\n \"missing_info\": [\n \"The specific criteria for classifying a text as 'Yes' or 'No' in this definition_classification task are not provided.\"\n ],\n \"context_summary\": \"The text discusses the definition of 'taxable', citing dictionaries indicating it means capable of being taxed, and notes that it does not necessarily mean actually taxed.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_299_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_299_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses the word 'taxable' and its usage\",\n \"Text quotes dictionary definitions from Random House and Webster's\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily explains the meaning of a term\",\n \"Whether the text is structured as a definition (e.g., 'X means Y')\",\n \"Whether the text is an example or commentary rather than a definition\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text is a definition if it states the meaning of a term, often with a definitional phrase\",\n \"Legal context: court extracts and commentaries may contain definitions\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text is primarily an analysis or application, not a direct definition\",\n \"Text uses the term without defining it clearly\"\n ],\n \"less_relev
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{"example_id": 1004, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1004\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nHolmberg thus stands for the proposition that equity tolls the statute of limitations in cases of fraud or concealment; it does not establish a general presumption applicable across all contexts.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1004_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 1004, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1004\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nHolmberg thus stands for the proposition that equity tolls the statute of limitations in cases of fraud or concealment; it does not establish a general presumption applicable across all contexts.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1004_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1004_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is a definition if it explicitly states the meaning of a term or concept, typically using copular verbs like 'is' or phrases like 'stands for the proposition that'.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains an explicit definitional phrase (e.g., 'stands for the proposition that')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text includes the phrase 'Holmberg thus stands for the proposition that equity tolls the statute of limitations in cases of fraud or concealment'.\"\n },\n {\n \"element\": \"The phrase connects a case or authority to a general legal rule or principle\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'stands for the proposition that' is used to attribute a general rule to the case Holmberg.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains an explicit definitional structure (e.g., 'X stands for the proposition that Y'), then it qualifies as a definition. The presence of the phrase 'stands for the proposition that' satisfies this structural criterion. The accompanying content about equity and the statute of limitations specifies the rule being defined, which is consistent with definitional usage.\",\n \"uncertainty_notes\": [\n \"The text is clearly definitional; no ambiguity in its structure.\",\n \"The task may consider other classifications (e.g., application or example), but the text's explicit definition of a legal rule fits the definition category.\"\n ],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1004_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1004, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1004\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nHolmberg thus stands for the proposition that equity tolls the statute of limitations in cases of fraud or concealment; it does not establish a general presumption applicable across all contexts.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1004_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1004_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification rule: A text is a definition if it explicitly states the meaning of a term or concept, typically using copular verbs like 'is' or phrases like 'stands for the proposition that'.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Text contains an explicit definitional phrase (e.g., 'stands for the proposition that')\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text includes the phrase 'Holmberg thus stands for the proposition that equity tolls the statute of limitations in cases of fraud or concealment'.\"\n },\n {\n \"element\": \"The phrase connects a case or authority to a general legal rule or principle\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The phrase 'stands for the proposition that' is used to attribute a general rule to the case Holmberg.\"\n }\n ],\n \"conclusion_logic\": \"If the text contains an explicit definitional structure (e.g., 'X stands for the proposition that Y'), then it qualifies as a definition. The presence of the phrase 'stands for the proposition that' satisfies this structural criterion. The accompanying content about equity and the statute of limitations specifies the rule being defined, which is consistent with definitional usage.\",\n \"uncertainty_notes\": [\n \"The text is clearly definitional; no ambiguity in its structure.\",\n \"The task may consider other classifications (e.g., application or example), but the text's explicit definition of a legal rule fits the definition category.\"\n ],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1004_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1004_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses Holmberg case and its proposition about equity tolling statute of limitations for fraud or concealment\
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{"example_id": 2396, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2396\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to address the disparate impact of climate change on women and support the efforts of women globally to address climate change, and for other purposes.\nbill_summary: Women and Climate Change Act of 2019\n\nThis bill addresses climate change and its effects on women and girls.\n\nSpecifically, the bill establishes the Federal Interagency Working Group on Women and Climate Change within the Department of State. The bill outlines the functions of the working group, including the coordination of agencies' policies and activities relating to (1) combating the effects of climate change on women, and (2) improving the government's response to and strategy for climate change.\n\nIn addition, the Office of Global Women's Issues of the State Department must submit a strategy to prevent and respond to the effects of climate change on women.\ncompany_name: IDACORP, Inc.\ncompany_description: IDACORP is subject to the provisions of the Public Utility Holding Company Act of 2005, which provides the Federal Energy Regulatory Commission (FERC) and state utility regulatory commissions with access to books and records and imposes record retention and reporting requirements on IDACORP. Idaho Power is an electric utility engaged in the generation, transmission, distribution, sale, and purchase of electric energy and capacity and is regulated by the state regulatory commissions of Idaho and Oregon and by the FERC. Idaho Energy Resources Co. (IERCo), a joint venturer in Bridger Coal Company (BCC), which mines and supplies coal to the Jim Bridger generating plant owned in part by Idaho Power. IDACORP's other notable subsidiaries include IDACORP Financial Services, Inc. (IFS), an investor in affordable housing and other real estate investments, and Ida-West Energy Company (Ida-West), an operator of small hydroelectric generation projects that satisfy the requirements of the Public Utility Regulatory Policies Act of 1978 (PURPA).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2396_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2396, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2396\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to address the disparate impact of climate change on women and support the efforts of women globally to address climate change, and for other purposes.\nbill_summary: Women and Climate Change Act of 2019\n\nThis bill addresses climate change and its effects on women and girls.\n\nSpecifically, the bill establishes the Federal Interagency Working Group on Women and Climate Change within the Department of State. The bill outlines the functions of the working group, including the coordination of agencies' policies and activities relating to (1) combating the effects of climate change on women, and (2) improving the government's response to and strategy for climate change.\n\nIn addition, the Office of Global Women's Issues of the State Department must submit a strategy to prevent and respond to the effects of climate change on women.\ncompany_name: IDACORP, Inc.\ncompany_description: IDACORP is subject to the provisions of the Public Utility Holding Company Act of 2005, which provides the Federal Energy Regulatory Commission (FERC) and state utility regulatory commissions with access to books and records and imposes record retention and reporting requirements on IDACORP. Idaho Power is an electric utility engaged in the generation, transmission, distribution, sale, and purchase of electric energy and capacity and is regulated by the state regulatory commissions of Idaho and Oregon and by the FERC. Idaho Energy Resources Co. (IERCo), a joint venturer in Bridger Coal Company (BCC), which mines and supplies coal to the Jim Bridger generating plant owned in part by Idaho Power. IDACORP's other notable subsidiaries include IDACORP Financial Services, Inc. (IFS), an investor in affordable housing and other real estate investments, and Ida-West Energy Company (Ida-West), an operator of small hydroelectric generation projects that satisfy the requirements of the Public Utility Regulatory Policies Act of 1978 (PURPA).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2396_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2396_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Bill: Women and Climate Change Act of 2019, establishes Federal Interagency Working Group on Women and Climate Change\",\n \"Company: IDACORP, Inc., parent of Idaho Power (electric utility) and IERCo (coal miner)\",\n \"Company description includes regulatory provisions and operations in ener
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{"example_id": 2543, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2543\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 4. Netflix Service\n\n4.1. You must be 18 years of age, or the age of majority in your province, territory or country, to become a member of the Netflix service. Minors may only use the service under the supervision of an adult.\n\n4.2. The Netflix service and any content viewed through the service are for your personal and non-commercial use only and may not be shared with individuals beyond your household. During your Netflix membership we grant you a limited, non-exclusive, non-transferable right to access the Netflix service and view Netflix content. Except for the foregoing, no right, title or interest shall be transferred to you. You agree not to use the service for public performances.\n\n4.3. You may view the Netflix content primarily within the country in which you have established your account and only in geographic locations where we offer our service and have licensed such content. The content that may be available to watch will vary by geographic location and will change from time to time. The number of devices on which you may simultaneously watch depends on your chosen subscription plan and is specified on the \"Account\" page.\n\n4.4. The Netflix service, including the content library, is regularly updated. In addition, we continually test various aspects of our service, including our website, user interfaces, promotional features and availability of Netflix content. You can turn off tests participation at any time by visiting the \"Account\" page and changing the \"Test participation\" settings.\n\n4.5. Some Netflix content is available for temporary download and offline viewing on certain supported devices (Offline Titles). Limitations apply, including restrictions on the number of Offline Titles per account, the maximum number of devices that can contain Offline Titles, the time period within which you will need to begin viewing Offline Titles and how long the Offline Titles will remain accessible. Some Offline Titles may not be playable in certain countries and if you go online in a country where you would not be able to stream that Offline Title, the Offline Title will not be playable while you are in that country.\n\n4.6. You agree to use the Netflix service, including all features and functionalities associated therewith, in accordance with all applicable laws, rules and regulations, or other restrictions on use of the service or content therein. You agree not to archive, reproduce, distribute, modify, display, perform, publish, license, create derivative works from, offer for sale, or use (except as explicitly authorized in these Terms of Use) content and information contained on or obtained from or through the Netflix service. You also agree not to: circumvent, remove, a
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{"example_id": 2543, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2543\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: 4. Netflix Service\n\n4.1. You must be 18 years of age, or the age of majority in your province, territory or country, to become a member of the Netflix service. Minors may only use the service under the supervision of an adult.\n\n4.2. The Netflix service and any content viewed through the service are for your personal and non-commercial use only and may not be shared with individuals beyond your household. During your Netflix membership we grant you a limited, non-exclusive, non-transferable right to access the Netflix service and view Netflix content. Except for the foregoing, no right, title or interest shall be transferred to you. You agree not to use the service for public performances.\n\n4.3. You may view the Netflix content primarily within the country in which you have established your account and only in geographic locations where we offer our service and have licensed such content. The content that may be available to watch will vary by geographic location and will change from time to time. The number of devices on which you may simultaneously watch depends on your chosen subscription plan and is specified on the \"Account\" page.\n\n4.4. The Netflix service, including the content library, is regularly updated. In addition, we continually test various aspects of our service, including our website, user interfaces, promotional features and availability of Netflix content. You can turn off tests participation at any time by visiting the \"Account\" page and changing the \"Test participation\" settings.\n\n4.5. Some Netflix content is available for temporary download and offline viewing on certain supported devices (Offline Titles). Limitations apply, including restrictions on the number of Offline Titles per account, the maximum number of devices that can contain Offline Titles, the time period within which you will need to begin viewing Offline Titles and how long the Offline Titles will remain accessible. Some Offline Titles may not be playable in certain countries and if you go online in a country where you would not be able to stream that Offline Title, the Offline Title will not be playable while you are in that country.\n\n4.6. You agree to use the Netflix service, including all features and functionalities associated therewith, in accordance with all applicable laws, rules and regulations, or other restrictions on use of the service or content therein. You agree not to archive, reproduce, distribute, modify, display, perform, publish, license, create derivative works from, offer for sale, or use (except as explicitly authorized in these Terms of Use) content and information contained on or obtained from or through the Netflix service. You also agree not to: circumvent, remove, a
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{"example_id": 620, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 620\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe lead entry for “cold-blooded” gives coordinate definitions. One, *472 “marked by absence of warm feelings: without consideration, compunction, or clemency,” id., at 442, mirrors the definition of “pitiless.” The other defines “cold-blooded” to mean “matter of fact, emotionless.” Ibid. It is true that “cold-blooded” is sometimes also used to describe “premedita[tion],” Black's Law Dictionary 260 (6th ed. 1990)—a mental state that may coincide with, but is distinct from, a lack of feeling or compassion.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_620_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 620, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 620\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThe lead entry for “cold-blooded” gives coordinate definitions. One, *472 “marked by absence of warm feelings: without consideration, compunction, or clemency,” id., at 442, mirrors the definition of “pitiless.” The other defines “cold-blooded” to mean “matter of fact, emotionless.” Ibid. It is true that “cold-blooded” is sometimes also used to describe “premedita[tion],” Black's Law Dictionary 260 (6th ed. 1990)—a mental state that may coincide with, but is distinct from, a lack of feeling or compassion.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_620_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_620_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text provides two coordinate definitions for 'cold-blooded' from a legal source.\",\n \"One definition matches 'pitiless'; another means 'matter of fact, emotionless'.\",\n \"The text notes that 'cold-blooded' is sometimes used to describe premeditation, which is distinct from lack of feeling.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily functions as a definition or as a classification of a concept.\",\n \"Whether the text offers a single, clear definition or combines multiple definitions and notes.\",\n \"Whether the presence of a note about premeditation alters the classification.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks assess if a text defines a term adequately.\",\n \"Legal definitions may include multiple coordinate definitions and contextual notes.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not considered a sufficient definition of 'cold-blooded'.\",\n \"The text includes too much non-definitional content like a separate note on premeditation.\"\n ],\n \"less_relevant_if\": [\n \"The text provides two clear definitions and is taken as a definition overall.\",\n \"The note about premeditation is seen as minor clarificatory detail.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is considered a valid definition because it gives two coordinate definitions.\",\n \"The premeditation note does not detract from the definitional content.\"\n ],\n \"less_relevant_if\": [\n \"The
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{"example_id": 1032, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1032\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee, e, g., Ex parte Yarbrough, 110 U. S. 651 (1884); United States v. Waddell, 112 U. S. 76 (1884); Logan v. United States, 144 U. S. 263 (1892); In re Quarles, 158 U. S. 532 (1895).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1032_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 1032, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1032\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee, e, g., Ex parte Yarbrough, 110 U. S. 651 (1884); United States v. Waddell, 112 U. S. 76 (1884); Logan v. United States, 144 U. S. 263 (1892); In re Quarles, 158 U. S. 532 (1895).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1032_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1032_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text contains citations to four legal cases: Ex parte Yarbrough, United States v. Waddell, Logan v. United States, and In re Quarles.\",\n \"Each case citation includes the volume number, abbreviation, and year of the Supreme Court decision.\",\n \"The text is a list of legal case citations connected by semicolons.\",\n \"The task is to classify this text as either 'Yes' or 'No' under a category called 'definition_classification'.\"\n ],\n \"missing_info\": [\n \"The specific criteria for the 'definition_classification' task are not provided.\",\n \"The context or definition that the text is supposed to define or relate to is not given.\"\n ],\n \"context_summary\": \"The question presents a legal text consisting of four Supreme Court case citations and asks to classify it as 'Yes' or 'No' under the task 'definition_classification'. No additional context is provided.\",\n \"confidence\": 0.7\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1032_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1032, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1032\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSee, e, g., Ex parte Yarbrough, 110 U. S. 651 (1884); United States v. Waddell, 112 U. S. 76 (1884); Logan v. United States, 144 U. S. 263 (1892); In re Quarles, 158 U. S. 532 (1895).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1032_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1032_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text contains citations to four legal cases: Ex parte Yarbrough, United States v. Waddell, Logan v. United States, and In re Quarles.\",\n \"Each case citation includes the volume number, abbreviation, and year of the Supreme Court decision.\",\n \"The text is a list of legal case citations connected by semicolons.\",\n \"The task is to classify this text as either 'Yes' or 'No' under a category called 'definition_classification'.\"\n ],\n \"missing_info\": [\n \"The specific criteria for the 'definition_classification' task are not provided.\",\n \"The context or definition that the text is supposed to define or relate to is not given.\"\n ],\n \"context_summary\": \"The question presents a legal text consisting of four Supreme Court case citations and asks to classify it as 'Yes' or 'No' under the task 'definition_classification'. No additional context is provided.\",\n \"confidence\": 0.7\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_1032_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1032_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text contains multiple legal citation examples\",\n \"Citations include Supreme Court cases from 1884 to 1895\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text exemplifies the target definition\",\n \"Degree of alignment between cited cases and the definition's criteria\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks compare texts to legal definitions\",\n \"Citation-heavy texts may match definitions that value authority references\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not match the target definition's structure or content\",\n \"Cited cases are unrelated to the definition's subject matter\"\n ],\n \"less_relevant_if\": [\n \"Text closely paral
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{"example_id": 826, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 826\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere was no possessory act nor other act of dominion to give to the boundary in bay and river below the circle a practical' location, or to establish a prescriptive right.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_826_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 826, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 826\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere was no possessory act nor other act of dominion to give to the boundary in bay and river below the circle a practical' location, or to establish a prescriptive right.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_826_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_826_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition of a legally recognized boundary: requires evidence of possessory or dominion acts (e.g., fencing, cultivation, or other actions that establish a boundary's location and prescriptive right).\",\n \"source\": \"General principles of boundary law and prescriptive easement\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Presence of possessory act or other act of dominion that gives a practical location to the boundary.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text states 'There was no possessory act nor other act of dominion to give to the boundary in bay and river below the circle a practical location.'\"\n },\n {\n \"element\": \"Establishment of a prescriptive right.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text says 'to establish a prescriptive right,' indicating that no such establishment occurred.\"\n }\n ],\n \"conclusion_logic\": \"If both elements (possessory act and prescriptive right) are absent, then the text fails to meet the definition; if either element were present, the text would satisfy the definition.\",\n \"uncertainty_notes\": [\n \"The exact definition being classified is not provided; the rule is inferred from typical boundary law principles.\",\n \"It is possible that the underlying definition includes additional or different elements not considered here.\"\n ],\n \"confidence\": 0.7\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_826_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 826, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 826\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThere was no possessory act nor other act of dominion to give to the boundary in bay and river below the circle a practical' location, or to establish a prescriptive right.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_826_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_826_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition of a legally recognized boundary: requires evidence of possessory or dominion acts (e.g., fencing, cultivation, or other actions that establish a boundary's location and prescriptive right).\",\n \"source\": \"General principles of boundary law and prescriptive easement\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Presence of possessory act or other act of dominion that gives a practical location to the boundary.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text states 'There was no possessory act nor other act of dominion to give to the boundary in bay and river below the circle a practical location.'\"\n },\n {\n \"element\": \"Establishment of a prescriptive right.\",\n \"satisfied\": \"no\",\n \"evidence\": \"The text says 'to establish a prescriptive right,' indicating that no such establishment occurred.\"\n }\n ],\n \"conclusion_logic\": \"If both elements (possessory act and prescriptive right) are absent, then the text fails to meet the definition; if either element were present, the text would satisfy the definition.\",\n \"uncertainty_notes\": [\n \"The exact definition being classified is not provided; the rule is inferred from typical boundary law principles.\",\n \"It is possible that the underlying definition includes additional or different elements not considered here.\"\n ],\n \"confidence\": 0.7\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_826_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_826_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"No possessory act or other act of dominion to give a practical location to a boundary in bay and river below the circle\",\n \"No establishment of prescriptive right\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Presence or absence of act of dominion or possessory act\",\n \"Presence or absence of prescriptive right es
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{"example_id": 1424, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1424\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: Turning to the second prong, we explained in J.T. that:\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1424_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1424, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1424\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 16\nParagraph: Turning to the second prong, we explained in J.T. that:\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1424_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1424_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\"Text is a sentence from a judicial opinion discussing a specific case (J.T.)\"],\n \"task_type\": \"section_classification\",\n \"decision_factors\": [\n \"Whether the text references a prior explanation or analysis (suggesting Analysis or Rule)\",\n \"Whether the text introduces a new question or the main point of the opinion (suggesting Issue or Conclusion)\",\n \"Whether the text describes past events or procedural steps (suggesting Facts or Procedural History)\"\n ],\n \"knowledge_slots\": [\n \"Typical sections of a legal opinion: Facts, Issue, Rule, Analysis, Conclusion, Decree, Procedural History\",\n \"Second prong often indicates part of the analysis or application of law\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"Text indicates the application of a rule to facts, often after discussing a prior case\"],\n \"less_relevant_if\": [\"Text does not show detailed reasoning or application\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"Text states the final outcome or holds of the court\"],\n \"less_relevant_if\": [\"Text is mid-reasoning without a clear final statement\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"Text contains a formal order or directive\"],\n \"less_relevant_if\": [\"Text is explanatory, not directly ordering action\"]\n },\n {\n \"choice_key\": \"D\",\n \"relevant_if\": [\"Text describes the underlying facts or events of the case\"],\n \"less_relevant_if\": [\"Text focuses on legal reasoning rather than factual background\"]\n },\n {\n \"choice_key\": \"E\",\n \"relevant_if\": [\"Text defines the legal question or issue before the court\"],\n \"less_relevant_if\": [\"Text addresses resolution of an issue rather than stating it\"]\n },\n {\n \"choice_key\": \"F\",\n \"relevant_if\": [\"Text recounts previous court proceedings or procedural steps\"],\n
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{"example_id": 594, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 594\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"A court proceeding is defined as “[a]n act or step that is part of a larger action” and “an act done by the *219 authority or direction of the court.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_594_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 594, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 594\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\n\"A court proceeding is defined as “[a]n act or step that is part of a larger action” and “an act done by the *219 authority or direction of the court.”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_594_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_594_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text contains two clauses labeling a court proceeding\",\n \"Text uses double quotes to enclose potential definitions\",\n \"Clauses include a court-related term and a procedural term\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states a definition\",\n \"Whether the text uses framing phrases like 'is defined as'\",\n \"Whether the text contains legal terminology\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text that defines a term is a definition\",\n \"Legal definitions often use 'is defined as' or similar phrasing\",\n \"Quotations may indicate a definition from a source\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not clearly define a single term\",\n \"Text is ambiguous or incomplete\",\n \"Text lacks explicit definition language\"\n ],\n \"less_relevant_if\": [\n \"Text contains explicit definition phrases\",\n \"Text directly states what a term means\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text includes phrases like 'is defined as'\",\n \"Text provides a clear term and meaning\",\n \"Text uses definitional language with quotes\"\n ],\n \"less_relevant_if\": [\n \"Text is vague or does not state a definition\",\n \"Text is merely descriptive without definition\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1114, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1114\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIf, as the concurrence argues will often be the case, post, at 124, a break in custody does not change the suspect’s mind, he need only say so.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1114_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1114, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1114\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIf, as the concurrence argues will often be the case, post, at 124, a break in custody does not change the suspect’s mind, he need only say so.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1114_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1114_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text discusses a break in custody not changing suspect's mind\",\n \"Text states 'he need only say so'\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text matches the legal definition being tested\",\n \"Presence of conditional language like 'will often be the case'\",\n \"The phrase 'need only say so' may indicate a permissive rule\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions often have exceptions or conditions\",\n \"Classification tasks require comparing text to a predefined concept\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text does not align with the core requirement of the definition\",\n \"Conditional language weakens the applicability of the statement\"\n ],\n \"less_relevant_if\": [\n \"The text directly uses wording similar to the definition\",\n \"The definition includes exceptions that this text illustrates\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text captures the essential idea of the definition despite conditions\",\n \"The statement 'need only say so' matches the definition's phrasing\"\n ],\n \"less_relevant_if\": [\n \"The text is too specific or includes unnecessary qualifiers\",\n \"The definition is more about the action than the condition\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact definition of the concept being classified\",\n \"Context about what legal concept this text is supposed to represent\"\n ],\n \"format_confidence\": 0.85\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 973, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 973\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nCrawford and Davis dealt with ordinary witnesses— women who had seen, and in two cases been the victim of, the crime in question.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_973_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 973, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 973\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nCrawford and Davis dealt with ordinary witnesses— women who had seen, and in two cases been the victim of, the crime in question.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_973_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_973_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text mentions Crawford and Davis.\",\n \"Crawford and Davis dealt with ordinary witnesses.\",\n \"The witnesses were women.\",\n \"The witnesses saw the crime in question.\",\n \"In two cases, the witnesses were victims of the crime.\",\n \"The text is a description of witnesses related to a legal context.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria that the text should be tested against.\",\n \"The meaning of the labels 'Yes' and 'No' in this classification task.\"\n ],\n \"context_summary\": \"The text describes Crawford and Davis dealing with ordinary female witnesses who saw or were victims of a crime.\",\n \"confidence\": 0.8\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_973_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 973, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 973\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nCrawford and Davis dealt with ordinary witnesses— women who had seen, and in two cases been the victim of, the crime in question.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_973_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_973_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The text mentions Crawford and Davis.\",\n \"Crawford and Davis dealt with ordinary witnesses.\",\n \"The witnesses were women.\",\n \"The witnesses saw the crime in question.\",\n \"In two cases, the witnesses were victims of the crime.\",\n \"The text is a description of witnesses related to a legal context.\"\n ],\n \"missing_info\": [\n \"The specific definition or classification criteria that the text should be tested against.\",\n \"The meaning of the labels 'Yes' and 'No' in this classification task.\"\n ],\n \"context_summary\": \"The text describes Crawford and Davis dealing with ordinary female witnesses who saw or were victims of a crime.\",\n \"confidence\": 0.8\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_973_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_973_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes Crawford and Davis as ordinary witnesses\",\n \"Women who saw the crime or were victim\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text matches the legal definition being tested\",\n \"Presence of key elements: witnesses, ordinary, seen crime, victim\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require comparing text to a given definition\",\n \"Legal definitions often specify role and circumstances\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"Text lacks elements specified in the definition\",\n \"Definition requires specific attributes not present\"\n ],\n \"less_relevant_if\": [\n \"Text aligns with definition\",\n \"Definition is broad and encompasses described scenario\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"Text matches the definition's criteria\",\n \"Definition is satisfied by the described witness roles\"\n ],\n \"less_relevant_if\
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{"example_id": 2250, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2250\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To repeal certain amendments to the Clean Air Act relating to the expansion of the renewable fuel program, and for other purposes.\nbill_summary: Leave Ethanol Volumes at Existing Levels Act or the LEVEL Act \n\nThis bill revises the renewable fuel program, including the renewable fuel standard (RFS). Under current law, the RFS specifies the minimum volume of renewable fuel, such as ethanol, that must be contained in gasoline sold in the United States, except in noncontiguous states or territories. The RFS annually increases until 2022 when a minimum of 36 billion gallons of renewable fuel must be blended into gasoline. This bill decreases the volume of renewable fuel that must be contained in gasoline to 7.5 billion gallons each year. The bill also revises the RFS to eliminate separate volume requirements for the following renewable fuel categories: advanced biofuels, cellulosic biofuel, and biomass-based diesel.\n\nPetitions for waivers from requirements under the renewable fuel program may not be brought by a person who is subject to the requirements of the program, nor by the EPA on its own motion.\n\nThe EPA may not authorize the sale of gasoline that contains greater than 10% ethanol, unless the gasoline was registered under the program and lawfully sold in the United States before this bill's enactment.\n\nThe EPA must study the effects of gasoline that contains greater than 10% ethanol, including the effects on consumer products, such as nonroad vehicles.\ncompany_name: Activision Blizzard, Inc.\ncompany_description: Activision Blizzard, Inc. is a leading global developer and publisher of interactive entertainment content and services. We develop and distribute content and services on video game consoles, personal computers (\"PC\"), and mobile devices. We also operate esports events and leagues and create film and television content based on our games. On February 23, 2016 (the \"King Closing Date\"), we acquired King Digital Entertainment, a leading interactive mobile entertainment company (\"King\"), by purchasing all of its outstanding shares (the \"King Acquisition\"). We made this acquisition because we believed that the addition of King's highly complementary mobile business positioned us as a global leader in interactive entertainment across mobile, console, and PC platforms, and aligned us for future growth. Our Strategy and Vision Our objective is to continue to be a worldwide leader in the development, publishing, and distribution of high-quality interactive entertainment content and services, as well as related media, that deliver engaging entertainment experiences on a year-round basis. In pursuit of this objective we focus on three strategic pillars: expanding audience reach
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{"example_id": 2250, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2250\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To repeal certain amendments to the Clean Air Act relating to the expansion of the renewable fuel program, and for other purposes.\nbill_summary: Leave Ethanol Volumes at Existing Levels Act or the LEVEL Act \n\nThis bill revises the renewable fuel program, including the renewable fuel standard (RFS). Under current law, the RFS specifies the minimum volume of renewable fuel, such as ethanol, that must be contained in gasoline sold in the United States, except in noncontiguous states or territories. The RFS annually increases until 2022 when a minimum of 36 billion gallons of renewable fuel must be blended into gasoline. This bill decreases the volume of renewable fuel that must be contained in gasoline to 7.5 billion gallons each year. The bill also revises the RFS to eliminate separate volume requirements for the following renewable fuel categories: advanced biofuels, cellulosic biofuel, and biomass-based diesel.\n\nPetitions for waivers from requirements under the renewable fuel program may not be brought by a person who is subject to the requirements of the program, nor by the EPA on its own motion.\n\nThe EPA may not authorize the sale of gasoline that contains greater than 10% ethanol, unless the gasoline was registered under the program and lawfully sold in the United States before this bill's enactment.\n\nThe EPA must study the effects of gasoline that contains greater than 10% ethanol, including the effects on consumer products, such as nonroad vehicles.\ncompany_name: Activision Blizzard, Inc.\ncompany_description: Activision Blizzard, Inc. is a leading global developer and publisher of interactive entertainment content and services. We develop and distribute content and services on video game consoles, personal computers (\"PC\"), and mobile devices. We also operate esports events and leagues and create film and television content based on our games. On February 23, 2016 (the \"King Closing Date\"), we acquired King Digital Entertainment, a leading interactive mobile entertainment company (\"King\"), by purchasing all of its outstanding shares (the \"King Acquisition\"). We made this acquisition because we believed that the addition of King's highly complementary mobile business positioned us as a global leader in interactive entertainment across mobile, console, and PC platforms, and aligned us for future growth. Our Strategy and Vision Our objective is to continue to be a worldwide leader in the development, publishing, and distribution of high-quality interactive entertainment content and services, as well as related media, that deliver engaging entertainment experiences on a year-round basis. In pursuit of this objective we focus on three strategic pillars: expanding audience reach
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{"example_id": 2250, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2250\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To repeal certain amendments to the Clean Air Act relating to the expansion of the renewable fuel program, and for other purposes.\nbill_summary: Leave Ethanol Volumes at Existing Levels Act or the LEVEL Act \n\nThis bill revises the renewable fuel program, including the renewable fuel standard (RFS). Under current law, the RFS specifies the minimum volume of renewable fuel, such as ethanol, that must be contained in gasoline sold in the United States, except in noncontiguous states or territories. The RFS annually increases until 2022 when a minimum of 36 billion gallons of renewable fuel must be blended into gasoline. This bill decreases the volume of renewable fuel that must be contained in gasoline to 7.5 billion gallons each year. The bill also revises the RFS to eliminate separate volume requirements for the following renewable fuel categories: advanced biofuels, cellulosic biofuel, and biomass-based diesel.\n\nPetitions for waivers from requirements under the renewable fuel program may not be brought by a person who is subject to the requirements of the program, nor by the EPA on its own motion.\n\nThe EPA may not authorize the sale of gasoline that contains greater than 10% ethanol, unless the gasoline was registered under the program and lawfully sold in the United States before this bill's enactment.\n\nThe EPA must study the effects of gasoline that contains greater than 10% ethanol, including the effects on consumer products, such as nonroad vehicles.\ncompany_name: Activision Blizzard, Inc.\ncompany_description: Activision Blizzard, Inc. is a leading global developer and publisher of interactive entertainment content and services. We develop and distribute content and services on video game consoles, personal computers (\"PC\"), and mobile devices. We also operate esports events and leagues and create film and television content based on our games. On February 23, 2016 (the \"King Closing Date\"), we acquired King Digital Entertainment, a leading interactive mobile entertainment company (\"King\"), by purchasing all of its outstanding shares (the \"King Acquisition\"). We made this acquisition because we believed that the addition of King's highly complementary mobile business positioned us as a global leader in interactive entertainment across mobile, console, and PC platforms, and aligned us for future growth. Our Strategy and Vision Our objective is to continue to be a worldwide leader in the development, publishing, and distribution of high-quality interactive entertainment content and services, as well as related media, that deliver engaging entertainment experiences on a year-round basis. In pursuit of this objective we focus on three strategic pillars: expanding audience reach
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{"example_id": 1896, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1896\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the assessments made under the Income Tax Act for the 1994, 1995 and 1996 taxation years are dismissed.\nThe Respondent shall have its costs of this action to be taxed.\nSigned at New Glasgow, Nova Scotia, this 13th day of September 2004.\n\"T. E. Margeson\"\nMargeson J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1896_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1896, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1896\n\nQuestion:\nLegalBench task: canada_tax_court_outcomes\n\nTEXT:\nThe appeals from the assessments made under the Income Tax Act for the 1994, 1995 and 1996 taxation years are dismissed.\nThe Respondent shall have its costs of this action to be taxed.\nSigned at New Glasgow, Nova Scotia, this 13th day of September 2004.\n\"T. E. Margeson\"\nMargeson J.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. allowed\n B. dismissed\n C. other\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1896_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1896_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text states that appeals are dismissed.\",\n \"The respondent shall have its costs taxed.\",\n \"Signed by Margeson J. on September 13, 2004.\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"The text explicitly uses the term 'dismissed'.\",\n \"The text does not use the term 'allowed'.\",\n \"The outcome is clear and direct.\"\n ],\n \"knowledge_slots\": [\n \"In legal contexts, 'dismissed' means the appeal is rejected.\",\n \"'Allowed' means the appeal is granted.\",\n \"'Other' applies if the outcome is ambiguous or not explicitly dismissed or allowed.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text uses the term 'allowed'.\"],\n \"less_relevant_if\": [\"The text uses the term 'dismissed'.\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"The text uses the term 'dismissed'.\"],\n \"less_relevant_if\": [\"The text uses the term 'allowed'.\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"The text does not clearly use 'dismissed' or 'allowed'.\"],\n \"less_relevant_if\": [\"The text explicitly uses 'dismissed' or 'allowed'.\"]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 641, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 641\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nConstructive possession is established when a person, though lacking such physical custody, still has the power and intent to exercise control over the object. See Black's 1047; 2A O'Malley § 39.12, at 55.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_641_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 641, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 641\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nConstructive possession is established when a person, though lacking such physical custody, still has the power and intent to exercise control over the object. See Black's 1047; 2A O'Malley § 39.12, at 55.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_641_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_641_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines constructive possession as state where person lacks physical custody but has power and intent to control object.\",\n \"Text cites Black's and O'Malley legal sources.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text corresponds to a standard legal definition of constructive possession.\",\n \"Whether the text is clearly defining a term or stating a rule.\"\n ],\n \"knowledge_slots\": [\n \"Constructive possession: legal term meaning indirect control over contraband without physical custody.\",\n \"Typical elements: ability to exercise control and intent to do so.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not match the target definition or is ambiguous.\",\n \"The classification criteria require comparison with an unspecified standard.\"\n ],\n \"less_relevant_if\": [\n \"The text precisely matches the legal definition being tested.\",\n \"The task expects a binary classification based on presence of defining elements.\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text accurately states the legal test for constructive possession.\",\n \"The classification hinges on whether the text is a clear definition of the term.\"\n ],\n \"less_relevant_if\": [\n \"The text is incomplete or lacks key components of the definition.\",\n \"The task requires matching against a different legal concept.\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific legal standard or question the text is being classified against.\"\n ],\n \"format_confidence\": 0.9\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 1644, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1644\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 87\nParagraph: Although the appellant does not use the term, this argument is nothing more than a jeremiad against what the appellant perceives as double-counting *98 (that is, the use of a particular fact in more than one way in the sentencing calculus).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1644_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1644, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1644\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 87\nParagraph: Although the appellant does not use the term, this argument is nothing more than a jeremiad against what the appellant perceives as double-counting *98 (that is, the use of a particular fact in more than one way in the sentencing calculus).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1644_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1644_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"The text is from a legal citation (1 F.4th 87)\",\n \"The paragraph describes an appellant's argument as a jeremiad against double-counting\"\n ],\n \"task_type\": \"section_classification\",\n \"decision_factors\": [\n \"Whether the text interprets or explains a legal argument\",\n \"Whether the text states a final outcome or holding\",\n \"Whether the text describes factual background or procedural history\",\n \"Whether the text states a legal rule or standard\"\n ],\n \"knowledge_slots\": [\n \"Typical content of judicial opinions: analysis often includes interpretation and evaluation of arguments\",\n \"Conclusion section typically states the court's final decision or reasoning leading to it\",\n \"Facts section recites factual circumstances of the case\",\n \"Issue section often poses the legal question to be resolved\",\n \"Procedural History recounts prior court proceedings\",\n \"Rule section states the applicable legal rule or precedent\",\n \"Decree is a formal order, distinct from opinion sections\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text discusses and interprets the substance of an argument\"],\n \"less_relevant_if\": [\"The text simply states the holding without analysis\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"The text provides the final determination of the case\"],\n \"less_relevant_if\": [\"The text is descriptive or analytical rather than declarative\"]\n },\n {\n \"choice_key\": \"C\",\n \"relevant_if\": [\"The text is a formal order or directive from the court\"],\n \"less_relevant_if\": [\"The text is part of an opinion narrative\"]\n },\n {\n \"choice_key\": \"D\",\n \"relevant_if\":
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{"example_id": 226, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 226\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo “insure” something—as the court below recognized—means “ ‘[t]o make certain, to secure, to guarantee (some thing, event, etc.).’ ”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_226_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}]}
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{"example_id": 226, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 226\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo “insure” something—as the court below recognized—means “ ‘[t]o make certain, to secure, to guarantee (some thing, event, etc.).’ ”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_226_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_226_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The task is LegalBench task: definition_classification.\",\n \"The text to classify is a legal definition of 'insure'.\",\n \"The definition is: 'To make certain, to secure, to guarantee (something, event, etc.).'\",\n \"The classification choices are 'No' and 'Yes'.\",\n \"The instruction is to classify the text into the most appropriate label.\"\n ],\n \"missing_info\": [\n \"Specific criteria or rubric for what constitutes a definition in this task.\",\n \"Examples of texts that would be classified as 'No' for contrast.\"\n ],\n \"context_summary\": \"LegalBench task: definition_classification. A text providing a legal definition of 'insure' is given, and it must be classified as either 'Yes' or 'No' based on whether it fits the definition category.\",\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_226_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 226, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 226\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTo “insure” something—as the court below recognized—means “ ‘[t]o make certain, to secure, to guarantee (some thing, event, etc.).’ ”\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_226_1", "type": "function", "function": {"name": "extractor_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_226_1", "name": "extractor_tool", "content": "{\n \"key_evidence\": [],\n \"extracted_facts\": [\n \"The task is LegalBench task: definition_classification.\",\n \"The text to classify is a legal definition of 'insure'.\",\n \"The definition is: 'To make certain, to secure, to guarantee (something, event, etc.).'\",\n \"The classification choices are 'No' and 'Yes'.\",\n \"The instruction is to classify the text into the most appropriate label.\"\n ],\n \"missing_info\": [\n \"Specific criteria or rubric for what constitutes a definition in this task.\",\n \"Examples of texts that would be classified as 'No' for contrast.\"\n ],\n \"context_summary\": \"LegalBench task: definition_classification. A text providing a legal definition of 'insure' is given, and it must be classified as either 'Yes' or 'No' based on whether it fits the definition category.\",\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_226_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_226_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text quotes a court definition of 'insure'\",\n \"Text includes quotation marks and phrase 'means'\"\n ],\n \"task_type\": \"classification\",\n \"decision_factors\": [\n \"Whether the text explicitly defines a term\",\n \"Whether the text uses definitional language like 'means'\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: determining if a text provides a definition of a specific term\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not clearly define a term or is ambiguous\"\n ],\n \"less_relevant_if\": [\n \"The text contains explicit definitional structure\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text explicitly defines a term using language like 'means'\"\n ],\n \"less_relevant_if\": [\n \"The text is merely using the term without explaining its meaning\"\n ]\n }\n ],\n \
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{"example_id": 370, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 370\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis understanding of the Sixth Amendment language—“accused” as distinct from “convicted,” and “trial” as separate from “sentencing”—endures today. See, e.g., Black's Law Dictionary 26 (10th ed. 2014) (defining “accused” as “a person who has *1615 been arrested and brought before a magistrate or who has been formally charged ” (emphasis added)); Fed. Rule Crim. Proc. 32 (governing “Sentencing and Judgment,” the rule appears in the chapter on “Post–Conviction Procedures,” which follows immediately after the separate chapter headed “Trial”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_370_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 370, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 370\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis understanding of the Sixth Amendment language—“accused” as distinct from “convicted,” and “trial” as separate from “sentencing”—endures today. See, e.g., Black's Law Dictionary 26 (10th ed. 2014) (defining “accused” as “a person who has *1615 been arrested and brought before a magistrate or who has been formally charged ” (emphasis added)); Fed. Rule Crim. Proc. 32 (governing “Sentencing and Judgment,” the rule appears in the chapter on “Post–Conviction Procedures,” which follows immediately after the separate chapter headed “Trial”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_370_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_370_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is classified as a definition example if it explicitly provides a definition of a legal term from an authoritative source and the definition is directly related to the term mentioned in the text.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text must provide a definition of a legal term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text includes a citation to Black's Law Dictionary defining 'accused' and references Fed. Rule Crim. Proc. 32.\"\n },\n {\n \"element\": \"The definition must be from an authoritative source.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text cites Black's Law Dictionary and a Federal Rule of Criminal Procedure.\"\n },\n {\n \"element\": \"The definition must correspond to the term mentioned in the text.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text mentions 'accused' and 'trial' and the definitions from Black's Law Dictionary and the rule on sentencing are provided.\"\n }\n ],\n \"conclusion_logic\": \"If the text provides a definition of a legal term from an authoritative source, then it is classified as a definition example; otherwise, it is not. Here, the text includes such definitions, so it satisfies the criteria for the definition classification.\",\n \"uncertainty_notes\": [\n \"The text is a single sentence that serves as an example of definitions, but it is clear and meets the typical requirements of a definition citation.\"\n ],\n \"confidence\": 0.95\n}"}]
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{"example_id": 370, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 370\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nThis understanding of the Sixth Amendment language—“accused” as distinct from “convicted,” and “trial” as separate from “sentencing”—endures today. See, e.g., Black's Law Dictionary 26 (10th ed. 2014) (defining “accused” as “a person who has *1615 been arrested and brought before a magistrate or who has been formally charged ” (emphasis added)); Fed. Rule Crim. Proc. 32 (governing “Sentencing and Judgment,” the rule appears in the chapter on “Post–Conviction Procedures,” which follows immediately after the separate chapter headed “Trial”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_370_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_370_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Definition classification: A text is classified as a definition example if it explicitly provides a definition of a legal term from an authoritative source and the definition is directly related to the term mentioned in the text.\",\n \"source\": \"LegalBench definition_classification task guidelines\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"The text must provide a definition of a legal term.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text includes a citation to Black's Law Dictionary defining 'accused' and references Fed. Rule Crim. Proc. 32.\"\n },\n {\n \"element\": \"The definition must be from an authoritative source.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text cites Black's Law Dictionary and a Federal Rule of Criminal Procedure.\"\n },\n {\n \"element\": \"The definition must correspond to the term mentioned in the text.\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The text mentions 'accused' and 'trial' and the definitions from Black's Law Dictionary and the rule on sentencing are provided.\"\n }\n ],\n \"conclusion_logic\": \"If the text provides a definition of a legal term from an authoritative source, then it is classified as a definition example; otherwise, it is not. Here, the text includes such definitions, so it satisfies the criteria for the definition classification.\",\n \"uncertainty_notes\": [\n \"The text is a single sentence that serves as an example of definitions, but it is clear and meets the typical requirements of a definition citation.\"\n ],\n \"confidence\": 0.95\n}"},
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{"example_id": 2201, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2201\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to reauthorize activities of the Maritime Administration, and for other purposes.\nbill_summary: Maritime Administration Authorization and Enhancement Act of 2019\n\nThis bill addresses (1) several aspects of the U.S. Maritime Administration (MARAD); (2) illegal, unreported, and unregulated fishing (IUU fishing); and (3) maritime security.\n\nAmong other things, the bill\n\n reauthorizes MARAD programs, including programs associated with maintaining the U.S. Merchant Marine; promotes transparency and traceability in the seafood supply chain; promotes the use of technology to combat IUU fishing; establishes an interagency working group on maritime security, IUU fishing, and seafood fraud; and establishes a sub-working group to address IUU fishing within the U.S. exclusive economic zone in the Gulf of Mexico.\ncompany_name: Allogene Therapeutics, Inc.\ncompany_description: We are a clinical stage immuno-oncology company pioneering the development and commercialization of genetically engineered allogeneic T cell therapies for the treatment of cancer. We are developing a pipeline of off-the-shelf T cell product candidates that are designed to target and kill cancer cells. Our engineered T cells are allogeneic, meaning they are derived from healthy donors for intended use in any patient, rather than from an individual patient for that patient's use, as in the case of autologous T cells. In collaboration with Servier, we are developing UCART19 and ALLO-501, chimeric antigen receptor (CAR) T cell product candidates targeting CD19. Servier is sponsoring two Phase 1 clinical trials of UCART19 in patients with relapsed/refractory (R/R) B-cell precursor acute lymphoblastic leukemia (ALL), one for adult patients (the CALM trial) and one for pediatric patients (the PALL trial). In January 2019, the U.S. Food and Drug Administration (FDA) cleared our investigational new drug application (IND) for ALLO-501, and we plan to initiate a Phase 1/2 clinical trial (the ALPHA trial) in the first half of 2019 for the treatment of R/R non-Hodgkin lymphoma (NHL). In addition, we have a deep pipeline of allogeneic CAR T cell product candidates targeting multiple promising antigens in a host of hematological malignancies and solid tumors. For example, we plan to submit an IND and initiate a Phase 1 clinical trial in 2019 for ALLO-715, an allogeneic CAR T cell product candidate targeting B-cell maturation antigen (BCMA) for the treatment of R/R multiple myeloma. We believe our management team's experience in immuno-oncology and specifically in CAR T cell therapy will help drive the rapid development and, if approved, the commercialization of these potentially curative therapies for patients with aggressive cancer. CA
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{"example_id": 2201, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2201\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to reauthorize activities of the Maritime Administration, and for other purposes.\nbill_summary: Maritime Administration Authorization and Enhancement Act of 2019\n\nThis bill addresses (1) several aspects of the U.S. Maritime Administration (MARAD); (2) illegal, unreported, and unregulated fishing (IUU fishing); and (3) maritime security.\n\nAmong other things, the bill\n\n reauthorizes MARAD programs, including programs associated with maintaining the U.S. Merchant Marine; promotes transparency and traceability in the seafood supply chain; promotes the use of technology to combat IUU fishing; establishes an interagency working group on maritime security, IUU fishing, and seafood fraud; and establishes a sub-working group to address IUU fishing within the U.S. exclusive economic zone in the Gulf of Mexico.\ncompany_name: Allogene Therapeutics, Inc.\ncompany_description: We are a clinical stage immuno-oncology company pioneering the development and commercialization of genetically engineered allogeneic T cell therapies for the treatment of cancer. We are developing a pipeline of off-the-shelf T cell product candidates that are designed to target and kill cancer cells. Our engineered T cells are allogeneic, meaning they are derived from healthy donors for intended use in any patient, rather than from an individual patient for that patient's use, as in the case of autologous T cells. In collaboration with Servier, we are developing UCART19 and ALLO-501, chimeric antigen receptor (CAR) T cell product candidates targeting CD19. Servier is sponsoring two Phase 1 clinical trials of UCART19 in patients with relapsed/refractory (R/R) B-cell precursor acute lymphoblastic leukemia (ALL), one for adult patients (the CALM trial) and one for pediatric patients (the PALL trial). In January 2019, the U.S. Food and Drug Administration (FDA) cleared our investigational new drug application (IND) for ALLO-501, and we plan to initiate a Phase 1/2 clinical trial (the ALPHA trial) in the first half of 2019 for the treatment of R/R non-Hodgkin lymphoma (NHL). In addition, we have a deep pipeline of allogeneic CAR T cell product candidates targeting multiple promising antigens in a host of hematological malignancies and solid tumors. For example, we plan to submit an IND and initiate a Phase 1 clinical trial in 2019 for ALLO-715, an allogeneic CAR T cell product candidate targeting B-cell maturation antigen (BCMA) for the treatment of R/R multiple myeloma. We believe our management team's experience in immuno-oncology and specifically in CAR T cell therapy will help drive the rapid development and, if approved, the commercialization of these potentially curative therapies for patients with aggressive cancer. CA
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{"example_id": 133, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 133\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTheir functions and duties pertain chiefly to the affairs of state in the county”); 3 J. Bouvier, Bouvier's Law Dictionary 3058 (8th ed.1914) (defining sheriff as “[a] county officer representing the executive or administrative power of the state within his county”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_133_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 133, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 133\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nTheir functions and duties pertain chiefly to the affairs of state in the county”); 3 J. Bouvier, Bouvier's Law Dictionary 3058 (8th ed.1914) (defining sheriff as “[a] county officer representing the executive or administrative power of the state within his county”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_133_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_133_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text contains a definition of sheriff from Bouvier's Law Dictionary\",\n \"Text quotes a county officer representing state executive power within the county\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly defines a term\",\n \"Whether the text provides a formal definition structure (e.g., '[term] is [description]'')\"\n ],\n \"knowledge_slots\": [\n \"Definition classification tasks require identifying if a text provides a definition of a specified term\",\n \"Legal definitions often follow pattern: 'X is Y' or 'defining X as Y'\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not define a specific term or is ambiguous\",\n \"The text merely mentions a term without defining it\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines a term with a defining description\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text explicitly states a definition (e.g., 'defining sheriff as ...')\",\n \"The text provides a formal description of a term's meaning\"\n ],\n \"less_relevant_if\": [\n \"The text only references a term without explaining its meaning\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific term to be classified from the text\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 519, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 519\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSome sources define ‘firm’ as ‘[t]he persons composing a partnership, taken collectively.’ II Bouvier's Law Dictionary 1232 (1914); see also Ballentine's Law Dictionary 507 (2d ed. 1948); Black's Law Dictionary 761–762 (4th ed. 1951); Crowell's Dictionary of Business and Finance 225 (rev. ed. 1930); Encyclopedia of Banking and Finance 238 (Garcia, 5th ed. 1949). But other dictionaries, while recognizing that narrow definition, also state that the word has a broader meaning in popular usage, connoting any business entity, including individual proprietorships. For example, the standard American reference defines ‘firm’ both as ‘a partnership of two or more persons not recognized as a legal person distinct from the members composing it’ and as any ‘business unit or enterprise.’ Webster's Third New International Dictionary—Unabridged 856 (1961). Accord, Clark & Gottfried, Dictionary of Business and Finance 152 (1957) (‘Strictly, an unincorporated business carried on by more than one person, jointly; a partnership. * * * In popular usage, any business, company, or concern, incorporated or not.’); Dictionary of Business and Industry 218 (Schwartz ed. 1954) (‘A business partnership; any business house or organization, no matter what its legal form * * *’); Dictionary of English Law 807 (1959) (‘the style or title under which one or several persons carry on business'); Dictionary of Foreign Trade 308 (Henius, 2d ed. 1947) (‘the name or title under which one or more persons do business').\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_519_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 519, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 519\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSome sources define ‘firm’ as ‘[t]he persons composing a partnership, taken collectively.’ II Bouvier's Law Dictionary 1232 (1914); see also Ballentine's Law Dictionary 507 (2d ed. 1948); Black's Law Dictionary 761–762 (4th ed. 1951); Crowell's Dictionary of Business and Finance 225 (rev. ed. 1930); Encyclopedia of Banking and Finance 238 (Garcia, 5th ed. 1949). But other dictionaries, while recognizing that narrow definition, also state that the word has a broader meaning in popular usage, connoting any business entity, including individual proprietorships. For example, the standard American reference defines ‘firm’ both as ‘a partnership of two or more persons not recognized as a legal person distinct from the members composing it’ and as any ‘business unit or enterprise.’ Webster's Third New International Dictionary—Unabridged 856 (1961). Accord, Clark & Gottfried, Dictionary of Business and Finance 152 (1957) (‘Strictly, an unincorporated business carried on by more than one person, jointly; a partnership. * * * In popular usage, any business, company, or concern, incorporated or not.’); Dictionary of Business and Industry 218 (Schwartz ed. 1954) (‘A business partnership; any business house or organization, no matter what its legal form * * *’); Dictionary of English Law 807 (1959) (‘the style or title under which one or several persons carry on business'); Dictionary of Foreign Trade 308 (Henius, 2d ed. 1947) (‘the name or title under which one or more persons do business').\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_519_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_519_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text presents multiple dictionary definitions of the word 'firm'\",\n \"Two definitions are presented: a narrow legal definition and a broader common usage definition\",\n \"The text cites several legal dictionaries\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily defines a term or emphasizes its definitional ambiguity\",\n \"Whether the text meets a threshold for being considered a definition\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text that presents one or more explicit definitions of a term is generally considered a definition\",\n \"Legal definitions may be considered definitions even if multi
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{"example_id": 2006, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2006\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To create child safety accounts in the District of Columbia, and for other purposes.\nbill_summary: Child Safety Accounts Act This bill creates child safety accounts (CSAs) in the District of Columbia for students experiencing safety issues at school (e.g., incidents of bullying, sexual misconduct, fighting or physical assaults on the student, gang activity or drug usage, or food safety needs). Once the Office of School Security determines that an issue exists, parents are given the opportunity to enroll in CSAs for tuition and fees at qualified schools, tutoring services, textbooks, transportation costs, therapy costs to cope with safety incidents, and college courses. The bill sets forth procedures for scholarship granting organizations to accept donations for CSAs and pay out scholarships for students.\n\nCSA donors must be taxpayers, individuals, or corporations who\n\n file District income tax returns, cannot be claimed as a dependent on another taxpayer return, has donated to a scholarship granting organization, and has been certified by the Chief Financial Officer of the District to make the donation. Finally, this bill establishes a District program to provide tax credits against income tax imposed by the District on (1) certified donors to CSAs, and (2) parents for eligible expenses above the amount provided by the CSA.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges and a wide range of transaction-generating endpoints, including automated teller machines (ATM), merchant point-of-sale (POS) terminals, bank branches, mobile phones, tablets, corporations, and internet commerce sites. The authentication, authorization, switching, settlement, fraud-checking, and reconciliation of electronic payments is a complex activity due to the large number of locations and variety of sources from which transactions can be generated, the large number of part
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{"example_id": 2006, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2006\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To create child safety accounts in the District of Columbia, and for other purposes.\nbill_summary: Child Safety Accounts Act This bill creates child safety accounts (CSAs) in the District of Columbia for students experiencing safety issues at school (e.g., incidents of bullying, sexual misconduct, fighting or physical assaults on the student, gang activity or drug usage, or food safety needs). Once the Office of School Security determines that an issue exists, parents are given the opportunity to enroll in CSAs for tuition and fees at qualified schools, tutoring services, textbooks, transportation costs, therapy costs to cope with safety incidents, and college courses. The bill sets forth procedures for scholarship granting organizations to accept donations for CSAs and pay out scholarships for students.\n\nCSA donors must be taxpayers, individuals, or corporations who\n\n file District income tax returns, cannot be claimed as a dependent on another taxpayer return, has donated to a scholarship granting organization, and has been certified by the Chief Financial Officer of the District to make the donation. Finally, this bill establishes a District program to provide tax credits against income tax imposed by the District on (1) certified donors to CSAs, and (2) parents for eligible expenses above the amount provided by the CSA.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges and a wide range of transaction-generating endpoints, including automated teller machines (ATM), merchant point-of-sale (POS) terminals, bank branches, mobile phones, tablets, corporations, and internet commerce sites. The authentication, authorization, switching, settlement, fraud-checking, and reconciliation of electronic payments is a complex activity due to the large number of locations and variety of sources from which transactions can be generated, the large number of part
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{"example_id": 2006, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2006\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To create child safety accounts in the District of Columbia, and for other purposes.\nbill_summary: Child Safety Accounts Act This bill creates child safety accounts (CSAs) in the District of Columbia for students experiencing safety issues at school (e.g., incidents of bullying, sexual misconduct, fighting or physical assaults on the student, gang activity or drug usage, or food safety needs). Once the Office of School Security determines that an issue exists, parents are given the opportunity to enroll in CSAs for tuition and fees at qualified schools, tutoring services, textbooks, transportation costs, therapy costs to cope with safety incidents, and college courses. The bill sets forth procedures for scholarship granting organizations to accept donations for CSAs and pay out scholarships for students.\n\nCSA donors must be taxpayers, individuals, or corporations who\n\n file District income tax returns, cannot be claimed as a dependent on another taxpayer return, has donated to a scholarship granting organization, and has been certified by the Chief Financial Officer of the District to make the donation. Finally, this bill establishes a District program to provide tax credits against income tax imposed by the District on (1) certified donors to CSAs, and (2) parents for eligible expenses above the amount provided by the CSA.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges and a wide range of transaction-generating endpoints, including automated teller machines (ATM), merchant point-of-sale (POS) terminals, bank branches, mobile phones, tablets, corporations, and internet commerce sites. The authentication, authorization, switching, settlement, fraud-checking, and reconciliation of electronic payments is a complex activity due to the large number of locations and variety of sources from which transactions can be generated, the large number of part
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{"example_id": 2253, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2253\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: Making appropriations for military construction, the Department of Veterans Affairs, and related agencies for the fiscal year ending September 30, 2020, and for other purposes.\nbill_summary: Military Construction, Veterans Affairs, and Related Agencies Appropriations Act, 2020\n\nThis bill provides FY2020 appropriations for Military Construction, the Department of Veterans Affairs (VA), and related agencies.\n\nThe bill provides appropriations to the Department of Defense (DOD) for Military Construction for\n\n the Army; the Navy and Marine Corps; the Air Force; Defense-wide agencies and activities; the Army and Air National Guard; and the Army, Navy, and Air Force Reserves. The bill also provides appropriations to DOD for\n\n the North Atlantic Treaty Organization (NATO) Security Investment Program; the Base Closure Account; Construction and Operation and Maintenance of Family Housing for the Army, the Navy and Marine Corps, the Air Force, and Defense-wide agencies and activities; the Family Housing Improvement Fund; and the Military Unaccompanied Housing Improvement Fund. The bill provides appropriations to the VA for\n\n the Veterans Benefits Administration, the Veterans Health Administration, the National Cemetery Administration, and Departmental Administration. The bill provides appropriations for related agencies and programs, including\n\n the American Battle Monuments Commission, the U.S. Court of Appeals for Veterans Claims, Cemeterial Expenses of the Army, and the Armed Forces Retirement Home. The bill provide appropriations to specified DOD military construction accounts for (1) Overseas Contingency Operations, and (2) Natural Disaster Relief.\n\nThe bill also sets forth requirements and restrictions for using funds provided by this and other appropriations Acts.\ncompany_name: Akcea Therapeutics, Inc.\ncompany_description: We are a commercial stage biopharmaceutical company developing and marketing drugs globally to treat patients with rare and serious diseases. We are bringing novel and transformative medicines to patients by driving clinical program execution, understanding patient and physician needs, preparing the market, creating market access, and commercializing our products on a global basis. As an affiliate of Ionis Pharmaceuticals, Inc., or Ionis, we have a robust portfolio of development-, registration- and commercial-stage drugs covering multiple targets and diseases using antisense therapeutics. Our immediate focus is on the commercial launch of our first commercially approved therapy, TEGSEDI in the United States, or U.S., the European Union, or E.U., and Canada. TEGSEDI treats the polyneuropathy caused by hereditary transthyretin-mediated amyloidosis, or hATTR amyloido
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{"example_id": 2253, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2253\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: Making appropriations for military construction, the Department of Veterans Affairs, and related agencies for the fiscal year ending September 30, 2020, and for other purposes.\nbill_summary: Military Construction, Veterans Affairs, and Related Agencies Appropriations Act, 2020\n\nThis bill provides FY2020 appropriations for Military Construction, the Department of Veterans Affairs (VA), and related agencies.\n\nThe bill provides appropriations to the Department of Defense (DOD) for Military Construction for\n\n the Army; the Navy and Marine Corps; the Air Force; Defense-wide agencies and activities; the Army and Air National Guard; and the Army, Navy, and Air Force Reserves. The bill also provides appropriations to DOD for\n\n the North Atlantic Treaty Organization (NATO) Security Investment Program; the Base Closure Account; Construction and Operation and Maintenance of Family Housing for the Army, the Navy and Marine Corps, the Air Force, and Defense-wide agencies and activities; the Family Housing Improvement Fund; and the Military Unaccompanied Housing Improvement Fund. The bill provides appropriations to the VA for\n\n the Veterans Benefits Administration, the Veterans Health Administration, the National Cemetery Administration, and Departmental Administration. The bill provides appropriations for related agencies and programs, including\n\n the American Battle Monuments Commission, the U.S. Court of Appeals for Veterans Claims, Cemeterial Expenses of the Army, and the Armed Forces Retirement Home. The bill provide appropriations to specified DOD military construction accounts for (1) Overseas Contingency Operations, and (2) Natural Disaster Relief.\n\nThe bill also sets forth requirements and restrictions for using funds provided by this and other appropriations Acts.\ncompany_name: Akcea Therapeutics, Inc.\ncompany_description: We are a commercial stage biopharmaceutical company developing and marketing drugs globally to treat patients with rare and serious diseases. We are bringing novel and transformative medicines to patients by driving clinical program execution, understanding patient and physician needs, preparing the market, creating market access, and commercializing our products on a global basis. As an affiliate of Ionis Pharmaceuticals, Inc., or Ionis, we have a robust portfolio of development-, registration- and commercial-stage drugs covering multiple targets and diseases using antisense therapeutics. Our immediate focus is on the commercial launch of our first commercially approved therapy, TEGSEDI in the United States, or U.S., the European Union, or E.U., and Canada. TEGSEDI treats the polyneuropathy caused by hereditary transthyretin-mediated amyloidosis, or hATTR amyloido
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{"example_id": 2253, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2253\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: Making appropriations for military construction, the Department of Veterans Affairs, and related agencies for the fiscal year ending September 30, 2020, and for other purposes.\nbill_summary: Military Construction, Veterans Affairs, and Related Agencies Appropriations Act, 2020\n\nThis bill provides FY2020 appropriations for Military Construction, the Department of Veterans Affairs (VA), and related agencies.\n\nThe bill provides appropriations to the Department of Defense (DOD) for Military Construction for\n\n the Army; the Navy and Marine Corps; the Air Force; Defense-wide agencies and activities; the Army and Air National Guard; and the Army, Navy, and Air Force Reserves. The bill also provides appropriations to DOD for\n\n the North Atlantic Treaty Organization (NATO) Security Investment Program; the Base Closure Account; Construction and Operation and Maintenance of Family Housing for the Army, the Navy and Marine Corps, the Air Force, and Defense-wide agencies and activities; the Family Housing Improvement Fund; and the Military Unaccompanied Housing Improvement Fund. The bill provides appropriations to the VA for\n\n the Veterans Benefits Administration, the Veterans Health Administration, the National Cemetery Administration, and Departmental Administration. The bill provides appropriations for related agencies and programs, including\n\n the American Battle Monuments Commission, the U.S. Court of Appeals for Veterans Claims, Cemeterial Expenses of the Army, and the Armed Forces Retirement Home. The bill provide appropriations to specified DOD military construction accounts for (1) Overseas Contingency Operations, and (2) Natural Disaster Relief.\n\nThe bill also sets forth requirements and restrictions for using funds provided by this and other appropriations Acts.\ncompany_name: Akcea Therapeutics, Inc.\ncompany_description: We are a commercial stage biopharmaceutical company developing and marketing drugs globally to treat patients with rare and serious diseases. We are bringing novel and transformative medicines to patients by driving clinical program execution, understanding patient and physician needs, preparing the market, creating market access, and commercializing our products on a global basis. As an affiliate of Ionis Pharmaceuticals, Inc., or Ionis, we have a robust portfolio of development-, registration- and commercial-stage drugs covering multiple targets and diseases using antisense therapeutics. Our immediate focus is on the commercial launch of our first commercially approved therapy, TEGSEDI in the United States, or U.S., the European Union, or E.U., and Canada. TEGSEDI treats the polyneuropathy caused by hereditary transthyretin-mediated amyloidosis, or hATTR amyloido
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{"example_id": 250, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 250\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSpecifically, a right-of-way grants the limited “right to pass ... through the estate of another.” Black's Law Dictionary 1489 (4th ed. 1968). 1) right-of-way A right-of-way may include not just a right of passage, but also the land itself. See, e.g., 16 U.S.C. § 521e(3) (providing that certain “rights-of-way” are “lands”); Black's Law Dictionary 1587 (11th ed. 2019) (“rightof-way” can refer to “[t]he strip of land”); Black's Law Dictionary 1489 (4th ed. 1968) (similar) United States Forest Serv. v. Cowpasture River Pres. Ass'n, 140 S. Ct. 1837, 1857, 207 L. Ed. 2d 186 (2020) 2) Land The legal meaning of “land” when Congress enacted the relevant statutes was “any ground, soil, or earth whatsoever.” Black's Law Dictionary 1019 (4th ed. 1968). The ordinary meaning of land was much the same. Webster's New International Dictionary 1388 (2d ed. 1949) (“The solid part of the surface of the earth, as distinguished from water”; “Any ground, soil, or earth whatsoever ... and everything annexed to it, whether by nature ... or by man”). United States Forest Serv. v. Cowpasture River Pres. Ass'n, 140 S. Ct. 1837, 1852, 207 L. Ed. 2d 186 (2020)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_250_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 250, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 250\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nSpecifically, a right-of-way grants the limited “right to pass ... through the estate of another.” Black's Law Dictionary 1489 (4th ed. 1968). 1) right-of-way A right-of-way may include not just a right of passage, but also the land itself. See, e.g., 16 U.S.C. § 521e(3) (providing that certain “rights-of-way” are “lands”); Black's Law Dictionary 1587 (11th ed. 2019) (“rightof-way” can refer to “[t]he strip of land”); Black's Law Dictionary 1489 (4th ed. 1968) (similar) United States Forest Serv. v. Cowpasture River Pres. Ass'n, 140 S. Ct. 1837, 1857, 207 L. Ed. 2d 186 (2020) 2) Land The legal meaning of “land” when Congress enacted the relevant statutes was “any ground, soil, or earth whatsoever.” Black's Law Dictionary 1019 (4th ed. 1968). The ordinary meaning of land was much the same. Webster's New International Dictionary 1388 (2d ed. 1949) (“The solid part of the surface of the earth, as distinguished from water”; “Any ground, soil, or earth whatsoever ... and everything annexed to it, whether by nature ... or by man”). United States Forest Serv. v. Cowpasture River Pres. Ass'n, 140 S. Ct. 1837, 1852, 207 L. Ed. 2d 186 (2020)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_250_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_250_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'right-of-way' and 'land' using legal dictionaries and court case.\",\n \"Definition of right-of-way includes right to pass and may include land itself.\",\n \"Definition of land is 'any ground, soil, or earth whatsoever' from Black's Law Dictionary.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a term.\",\n \"Whether the text cites authoritative sources like dictionaries and court.\",\n \"Whether the text primarily explains the meaning of a concept.\"\n ],\n \"knowledge_slots\": [\n \"Legal definitions often rely on dictionaries and precedent.\",\n \"A definition typically states the meaning or scope of a term.\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not provide an explicit definition but merely discusses usage.\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines terms with references to authoritative
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{"example_id": 233, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 233\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn the ordinary course, a statute of limitations creates “a time limit for suing in a civil case, based on the date when the claim accrued.” Black's Law Dictionary 1546 (9th ed. 2009) (Black's)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_233_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 233, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 233\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn the ordinary course, a statute of limitations creates “a time limit for suing in a civil case, based on the date when the claim accrued.” Black's Law Dictionary 1546 (9th ed. 2009) (Black's)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_233_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_233_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text defines 'statute of limitations' as a time limit for suing in a civil case based on when the claim accrued\",\n \"Text includes a dictionary citation and is from Black's Law Dictionary\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text provides a clear definition of a legal term\",\n \"Whether the text uses definitional language (e.g., 'creates a time limit', 'means')\"\n ],\n \"knowledge_slots\": [\n \"A statute of limitations is a legal doctrine barring suits after a certain period\",\n \"Definition classification tasks assess if a text defines a term accurately\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text does not clearly define a legal term or is ambiguous\",\n \"The text provides an example rather than a definition\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states what a term means\",\n \"The text is labeled as a definition from a dictionary\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text provides a formal definition of a legal term\",\n \"The text includes a dictionary citation and explains the meaning\"\n ],\n \"less_relevant_if\": [\n \"The text is not a definition but a commentary or application\",\n \"The text lacks definitional structure\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 2532, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2532\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: SERVICE AS IS\nINSTRUCTURE AND ITS PARTNERS MAKE NO WARRANTIES, EITHER EXPRESS OR IMPLIED, ABOUT THE SERVICE. THE SERVICE IS PROVIDED AS IS. IN ADDITION, WE DISCLAIM ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. ANY CONTENT DOWNLOADED OR ACCESSED FROM THE SERVICE IS ACCESSED AT YOUR OWN RISK.\n\nLIMITATION OF LIABILITY\nYOU EXPRESSLY ABSOLVE AND RELEASE INSTRUCTURE FROM ANY CLAIM OF HARM RESULTING FROM A CAUSE BEYOND INSTRUCTURES CONTROL. YOU FURTHER AGREE THAT IN NO EVENT SHALL INSTRUCTURE AND ITS SUPPLIERS BE LIABLE FOR ANY DAMAGES OTHER THAN DIRECT DAMAGES, OR ANY LOSS OF USE, DATA BUSINESS, OR PROFITS. THIS WILL BE REGARDLESS OF WHETHER OR NOT INSTRUCTURE OR ANY OF ITS PARTNERS HAS BEEN WARNED OF THE POSSIBILITY OF SUCH DAMAGES. ADDITIONALLY, INSTRUCTURE AND ITS SUPPLIERS WILL NOT BE LIABLE TO YOU FOR MORE THAN ANY AMOUNTS RECEIVED BY INSTRUCTURE FROM YOU AS A RESULT OF YOUR PERSONAL USE OF THE SERVICE IN THE 12 MONTHS PRECEDING YOUR CLAIM. IF YOU HAVE NOT PAID INDIVIDUALLY ANY AMOUNTS IN THE 12 MONTHS PRECEDING YOUR CLAIM, INSTRUCTURES SOLE AND EXCLUSIVE LIABILITY SHALL BE NO MORE THAN $50. MOREOVER, INSTRUCTURE SHALL NOT BE LIABLE FOR THE LOSS OR FAILURE TO STORE YOUR CONTENT, AND YOU UNDERSTAND AND AGREE THAT BY USING THE SERVICE, YOU AGREE TO WAIVE THE RIGHT TO A TRIAL BY JURY AND THE RIGHT TO PARTICIPATE IN A CLASS ACTION RELATED TO USE OF THE SERVICE OR BREACH OF THESE AUP GUIDELINES.\nquestion: Is Instructure trying to imply that Ill have to bear the consequences of problematic content that I download from the platform?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2532_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 2532, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2532\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: SERVICE AS IS\nINSTRUCTURE AND ITS PARTNERS MAKE NO WARRANTIES, EITHER EXPRESS OR IMPLIED, ABOUT THE SERVICE. THE SERVICE IS PROVIDED AS IS. IN ADDITION, WE DISCLAIM ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. ANY CONTENT DOWNLOADED OR ACCESSED FROM THE SERVICE IS ACCESSED AT YOUR OWN RISK.\n\nLIMITATION OF LIABILITY\nYOU EXPRESSLY ABSOLVE AND RELEASE INSTRUCTURE FROM ANY CLAIM OF HARM RESULTING FROM A CAUSE BEYOND INSTRUCTURES CONTROL. YOU FURTHER AGREE THAT IN NO EVENT SHALL INSTRUCTURE AND ITS SUPPLIERS BE LIABLE FOR ANY DAMAGES OTHER THAN DIRECT DAMAGES, OR ANY LOSS OF USE, DATA BUSINESS, OR PROFITS. THIS WILL BE REGARDLESS OF WHETHER OR NOT INSTRUCTURE OR ANY OF ITS PARTNERS HAS BEEN WARNED OF THE POSSIBILITY OF SUCH DAMAGES. ADDITIONALLY, INSTRUCTURE AND ITS SUPPLIERS WILL NOT BE LIABLE TO YOU FOR MORE THAN ANY AMOUNTS RECEIVED BY INSTRUCTURE FROM YOU AS A RESULT OF YOUR PERSONAL USE OF THE SERVICE IN THE 12 MONTHS PRECEDING YOUR CLAIM. IF YOU HAVE NOT PAID INDIVIDUALLY ANY AMOUNTS IN THE 12 MONTHS PRECEDING YOUR CLAIM, INSTRUCTURES SOLE AND EXCLUSIVE LIABILITY SHALL BE NO MORE THAN $50. MOREOVER, INSTRUCTURE SHALL NOT BE LIABLE FOR THE LOSS OR FAILURE TO STORE YOUR CONTENT, AND YOU UNDERSTAND AND AGREE THAT BY USING THE SERVICE, YOU AGREE TO WAIVE THE RIGHT TO A TRIAL BY JURY AND THE RIGHT TO PARTICIPATE IN A CLASS ACTION RELATED TO USE OF THE SERVICE OR BREACH OF THESE AUP GUIDELINES.\nquestion: Is Instructure trying to imply that Ill have to bear the consequences of problematic content that I download from the platform?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2532_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2532_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Contract states 'any content downloaded or accessed is accessed at your own risk'\",\n \"Contract includes limitation of liability clauses disclaiming warranties and excluding certain damages\",\n \"Contract explicitly waives jury trial and class action rights for use of the service\"\n ],\n \"task_type\": \"contract_interpretation\",\n \"decision_factors\": [\n \"Whether the phrase 'at your own risk' implies user bears consequences for problematic content\",\n \"Whether the disclaimers of warranties and limitation of liability modify or negate that implication\",\n \"Whether the contract assigns a maximum liabil
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{"example_id": 2066, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2066\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To authorize the Secretary of the Treasury to pay rewards under an asset recovery rewards program to help identify and recover stolen assets linked to foreign government corruption and the proceeds of such corruption hidden behind complex financial structures in the United States and abroad.\nbill_summary: Kleptocracy Asset Recovery Rewards Act\n\nThis bill establishes in the Department of the Treasury the Kleptocracy Asset Recovery Rewards Program. The program may provide rewards to individuals furnishing information leading to the restraining, seizure, forfeiture, or repatriation of stolen assets linked to foreign government corruption.\n\nA person is ineligible for a reward if they are an officer or employee of a federal, state, local, or foreign government and furnish such information in the course of their official duties. A person may be ineligible if Treasury reasonably believes that such person knowingly participated in certain forms of government corruption.\n\nThe bill provides for the administration of the program, including reward payment and eligibility.\n\nRewards must, to the extent possible, be paid first from any recovered assets.\n\nTreasury must obtain approval from the Department of Justice before paying a reward under this Act in a matter where there is federal criminal jurisdiction.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges and a wide range of transaction-generating endpoints, including automated teller machines (ATM), merchant point-of-sale (POS) terminals, bank branches, mobile phones, tablets, corporations, and internet commerce sites. The authentication, authorization, switching, settlement, fraud-checking, and reconciliation of electronic payments is a complex activity due to the large number of locations and variety of sources from which transactions can be generated, the large number of participants in the market,
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{"example_id": 2066, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2066\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To authorize the Secretary of the Treasury to pay rewards under an asset recovery rewards program to help identify and recover stolen assets linked to foreign government corruption and the proceeds of such corruption hidden behind complex financial structures in the United States and abroad.\nbill_summary: Kleptocracy Asset Recovery Rewards Act\n\nThis bill establishes in the Department of the Treasury the Kleptocracy Asset Recovery Rewards Program. The program may provide rewards to individuals furnishing information leading to the restraining, seizure, forfeiture, or repatriation of stolen assets linked to foreign government corruption.\n\nA person is ineligible for a reward if they are an officer or employee of a federal, state, local, or foreign government and furnish such information in the course of their official duties. A person may be ineligible if Treasury reasonably believes that such person knowingly participated in certain forms of government corruption.\n\nThe bill provides for the administration of the program, including reward payment and eligibility.\n\nRewards must, to the extent possible, be paid first from any recovered assets.\n\nTreasury must obtain approval from the Department of Justice before paying a reward under this Act in a matter where there is federal criminal jurisdiction.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges and a wide range of transaction-generating endpoints, including automated teller machines (ATM), merchant point-of-sale (POS) terminals, bank branches, mobile phones, tablets, corporations, and internet commerce sites. The authentication, authorization, switching, settlement, fraud-checking, and reconciliation of electronic payments is a complex activity due to the large number of locations and variety of sources from which transactions can be generated, the large number of participants in the market,
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{"example_id": 2066, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2066\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To authorize the Secretary of the Treasury to pay rewards under an asset recovery rewards program to help identify and recover stolen assets linked to foreign government corruption and the proceeds of such corruption hidden behind complex financial structures in the United States and abroad.\nbill_summary: Kleptocracy Asset Recovery Rewards Act\n\nThis bill establishes in the Department of the Treasury the Kleptocracy Asset Recovery Rewards Program. The program may provide rewards to individuals furnishing information leading to the restraining, seizure, forfeiture, or repatriation of stolen assets linked to foreign government corruption.\n\nA person is ineligible for a reward if they are an officer or employee of a federal, state, local, or foreign government and furnish such information in the course of their official duties. A person may be ineligible if Treasury reasonably believes that such person knowingly participated in certain forms of government corruption.\n\nThe bill provides for the administration of the program, including reward payment and eligibility.\n\nRewards must, to the extent possible, be paid first from any recovered assets.\n\nTreasury must obtain approval from the Department of Justice before paying a reward under this Act in a matter where there is federal criminal jurisdiction.\ncompany_name: ACI Worldwide, Inc.\ncompany_description: We develop, market, install, and support a broad line of software products and solutions primarily focused on facilitating real-time electronic payments. Our payment capabilities, technologies, and solutions are marketed under the brand name Universal Payments, or UP, which describes the breadth and depth of ACIs product offerings. UP defines ACIs enterprise or universal payments capabilities targeting any channel, any network, and any payment type. ACI UP solutions empower customers to regain control, choice, and flexibility in todays complex payments environment, get to market more quickly, and reduce operational costs. These products and services are used globally by banks, financial intermediaries, merchants and corporates, such as third-party electronic payment processors, payment associations, switch interchanges and a wide range of transaction-generating endpoints, including automated teller machines (ATM), merchant point-of-sale (POS) terminals, bank branches, mobile phones, tablets, corporations, and internet commerce sites. The authentication, authorization, switching, settlement, fraud-checking, and reconciliation of electronic payments is a complex activity due to the large number of locations and variety of sources from which transactions can be generated, the large number of participants in the market,
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{"example_id": 2648, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2648\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: DISCLAIMER OF WARRANTIES AND LIMITATION OF LIABILITY\nTHE AMAZON SERVICES AND ALL INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) AND OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES ARE PROVIDED BY AMAZON ON AN \"AS IS\" AND \"AS AVAILABLE\" BASIS, UNLESS OTHERWISE SPECIFIED IN WRITING. AMAZON MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED, AS TO THE OPERATION OF THE AMAZON SERVICES, OR THE INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES, UNLESS OTHERWISE SPECIFIED IN WRITING. YOU EXPRESSLY AGREE THAT YOUR USE OF THE AMAZON SERVICES IS AT YOUR SOLE RISK.\nTO THE FULL EXTENT PERMISSIBLE BY LAW, AMAZON DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. AMAZON DOES NOT WARRANT THAT THE AMAZON SERVICES, INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES, AMAZON'S SERVERS OR ELECTRONIC COMMUNICATIONS SENT FROM AMAZON ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. TO THE FULL EXTENT PERMISSIBLE BY LAW, AMAZON WILL NOT BE LIABLE FOR ANY DAMAGES OF ANY KIND ARISING FROM THE USE OF ANY AMAZON SERVICE, OR FROM ANY INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH ANY AMAZON SERVICE, INCLUDING, BUT NOT LIMITED TO DIRECT, INDIRECT, INCIDENTAL, PUNITIVE, AND CONSEQUENTIAL DAMAGES, UNLESS OTHERWISE SPECIFIED IN WRITING.\nquestion: Does Amazon agree to ensure that its services are available at all times?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_2648_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 2648, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2648\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: DISCLAIMER OF WARRANTIES AND LIMITATION OF LIABILITY\nTHE AMAZON SERVICES AND ALL INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) AND OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES ARE PROVIDED BY AMAZON ON AN \"AS IS\" AND \"AS AVAILABLE\" BASIS, UNLESS OTHERWISE SPECIFIED IN WRITING. AMAZON MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED, AS TO THE OPERATION OF THE AMAZON SERVICES, OR THE INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES, UNLESS OTHERWISE SPECIFIED IN WRITING. YOU EXPRESSLY AGREE THAT YOUR USE OF THE AMAZON SERVICES IS AT YOUR SOLE RISK.\nTO THE FULL EXTENT PERMISSIBLE BY LAW, AMAZON DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. AMAZON DOES NOT WARRANT THAT THE AMAZON SERVICES, INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES, AMAZON'S SERVERS OR ELECTRONIC COMMUNICATIONS SENT FROM AMAZON ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. TO THE FULL EXTENT PERMISSIBLE BY LAW, AMAZON WILL NOT BE LIABLE FOR ANY DAMAGES OF ANY KIND ARISING FROM THE USE OF ANY AMAZON SERVICE, OR FROM ANY INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH ANY AMAZON SERVICE, INCLUDING, BUT NOT LIMITED TO DIRECT, INDIRECT, INCIDENTAL, PUNITIVE, AND CONSEQUENTIAL DAMAGES, UNLESS OTHERWISE SPECIFIED IN WRITING.\nquestion: Does Amazon agree to ensure that its services are available at all times?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2648_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2648_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Disclaimer of Warranties and Limitation of Liability Clause Interpretation: Contract terms stating 'AS IS' and disclaiming warranties indicate no guarantee of continuous availability.\",\n \"source\": \"Amazon Services Agreement excerpt\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Service is provided 'AS IS' and 'AS AVAILABLE'\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The contr
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{"example_id": 2648, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2648\n\nQuestion:\nLegalBench task: consumer_contracts_qa\n\nTEXT:\ncontract: DISCLAIMER OF WARRANTIES AND LIMITATION OF LIABILITY\nTHE AMAZON SERVICES AND ALL INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) AND OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES ARE PROVIDED BY AMAZON ON AN \"AS IS\" AND \"AS AVAILABLE\" BASIS, UNLESS OTHERWISE SPECIFIED IN WRITING. AMAZON MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED, AS TO THE OPERATION OF THE AMAZON SERVICES, OR THE INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES, UNLESS OTHERWISE SPECIFIED IN WRITING. YOU EXPRESSLY AGREE THAT YOUR USE OF THE AMAZON SERVICES IS AT YOUR SOLE RISK.\nTO THE FULL EXTENT PERMISSIBLE BY LAW, AMAZON DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. AMAZON DOES NOT WARRANT THAT THE AMAZON SERVICES, INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH THE AMAZON SERVICES, AMAZON'S SERVERS OR ELECTRONIC COMMUNICATIONS SENT FROM AMAZON ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS. TO THE FULL EXTENT PERMISSIBLE BY LAW, AMAZON WILL NOT BE LIABLE FOR ANY DAMAGES OF ANY KIND ARISING FROM THE USE OF ANY AMAZON SERVICE, OR FROM ANY INFORMATION, CONTENT, MATERIALS, PRODUCTS (INCLUDING SOFTWARE) OR OTHER SERVICES INCLUDED ON OR OTHERWISE MADE AVAILABLE TO YOU THROUGH ANY AMAZON SERVICE, INCLUDING, BUT NOT LIMITED TO DIRECT, INDIRECT, INCIDENTAL, PUNITIVE, AND CONSEQUENTIAL DAMAGES, UNLESS OTHERWISE SPECIFIED IN WRITING.\nquestion: Does Amazon agree to ensure that its services are available at all times?\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_2648_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_2648_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\n \"rule\": \"Disclaimer of Warranties and Limitation of Liability Clause Interpretation: Contract terms stating 'AS IS' and disclaiming warranties indicate no guarantee of continuous availability.\",\n \"source\": \"Amazon Services Agreement excerpt\"\n }\n ],\n \"elements\": [\n {\n \"element\": \"Service is provided 'AS IS' and 'AS AVAILABLE'\",\n \"satisfied\": \"yes\",\n \"evidence\": \"The contr
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{"example_id": 885, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 885\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAt bottom, this case requires the Court to decide when a particular remedy is available under § 1983.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_885_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 885, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 885\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nAt bottom, this case requires the Court to decide when a particular remedy is available under § 1983.\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_885_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_885_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text mentions a court deciding when a remedy is available under § 1983\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text states a definition or a factual assertion\",\n \"Presence of phrases like 'requires the Court to decide' vs. 'defines' or 'means'\"\n ],\n \"knowledge_slots\": [\n \"A definition typically explains the meaning of a term or the scope of a legal rule\",\n \"Classification tasks distinguish definitions from other types of legal statements\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text describes a judicial task rather than defining a term\"\n ],\n \"less_relevant_if\": [\n \"The text implicitly defines the scope of § 1983 remedies\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is understood to define a legal concept or rule\"\n ],\n \"less_relevant_if\": [\n \"The text is interpreted as a statement about a specific case's requirement\"\n ]\n }\n ],\n \"missing_information\": [\n \"The specific definition or criteria used for classification in this task\"\n ],\n \"format_confidence\": 0.8\n}"}], "response": [{"role": "assistant", "content": "ANSWER_A"}]}
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{"example_id": 1527, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1527\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 40\nParagraph: The right of allocution before the imposition of a criminal sentence following conviction is now “codified in the Federal Rules of Criminal Procedure[.]” Abney, 957 F.3d at 249; accord United States v. Behrens, 375 U.S. 162, 165, 84 S.Ct. 295, 11 L.Ed.2d 224 (1963); Green v. United States, 365 U.S. 301, 304, 81 S.Ct. 653, 5 L.Ed.2d 670 (1961); Couch v. United States, 235 F.2d 519, 523–524 (D.C. Cir. 1956). Specifically, Rule 32 requires the district court, before imposing a sentence, to “address the defendant personally in *47 **419 order to permit the defendant to speak or present any information to mitigate the sentence[.]” Fed. R. Crim. P. 32(i)(4)(A)(ii).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_1527_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 1527, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n ANSWER_C\n ANSWER_D\n ANSWER_E\n ANSWER_F\n ANSWER_G\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 1527\n\nQuestion:\nLegalBench task: function_of_decision_section\n\nTEXT:\nCitation: 1 F.4th 40\nParagraph: The right of allocution before the imposition of a criminal sentence following conviction is now “codified in the Federal Rules of Criminal Procedure[.]” Abney, 957 F.3d at 249; accord United States v. Behrens, 375 U.S. 162, 165, 84 S.Ct. 295, 11 L.Ed.2d 224 (1963); Green v. United States, 365 U.S. 301, 304, 81 S.Ct. 653, 5 L.Ed.2d 670 (1961); Couch v. United States, 235 F.2d 519, 523–524 (D.C. Cir. 1956). Specifically, Rule 32 requires the district court, before imposing a sentence, to “address the defendant personally in *47 **419 order to permit the defendant to speak or present any information to mitigate the sentence[.]” Fed. R. Crim. P. 32(i)(4)(A)(ii).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. Analysis\n B. Conclusion\n C. Decree\n D. Facts\n E. Issue\n F. Procedural History\n G. Rule\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_1527_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_1527_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Citation: 1 F.4th 40\",\n \"The text cites multiple Supreme Court cases (Behrens, Green) and a district court case (Couch) to establish the right of allocution\",\n \"The text quotes Fed. R. Crim. P. 32(i)(4)(A)(ii) regarding personal address and mitigation presentation before sentencing\"\n ],\n \"task_type\": \"legal_section_classification\",\n \"decision_factors\": [\n \"Whether the text primarily states a legal rule or standard\",\n \"Whether the text primarily applies prior authority to support a proposition\",\n \"Whether the text contains a court's own action or disposition\",\n \"Whether the text recounts specific factual events in the case\"\n ],\n \"knowledge_slots\": [\n \"Legal decision sections: Analysis applies prior law to facts; Conclusion states outcome; Decree is order/judgment; Facts are case circumstances; Issue frames legal question; Procedural History recounts prior court actions; Rule states a legal rule\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\"The text applies legal principles to facts, often after citing authority\"],\n \"less_relevant_if\": [\"The text primarily states a rule without applying it to a specific case\"]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\"The text announces a final determination or holding\"],\n
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{"example_id": 2330, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2330\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To require any delivery vehicle owned or leased by the United States Postal Service have an air conditioning unit, and for other purposes.\nbill_summary: Peggy Frank Memorial Act\n\nThis bill requires, by three years after this bill's enactment, that any delivery vehicle owned or leased by the U.S. Postal Service (USPS) be modified to include an air conditioning unit.\n\nThe USPS may not purchase or lease any delivery vehicle unless that vehicle has an air conditioning unit.\ncompany_name: AAON, Inc.\ncompany_description: We are engaged in the engineering, manufacturing, marketing and sale of air conditioning and heating equipment consisting of standard, semi-custom and custom rooftop units, chillers, packaged outdoor mechanical rooms, air handling units, makeup air units, energy recovery units, condensing units, geothermal/water-source heat pumps and coils. Our products serve the commercial and industrial new construction and replacement markets. To date, our sales have been primarily to the domestic market. Our rooftop and condensing unit markets primarily consist of units installed on commercial or industrial structures of generally less than ten stories in height. Our air handling units, self-contained units, geothermal/water-source heat pumps, chillers, packaged outdoor mechanical rooms and coils are suitable for all sizes of commercial and industrial buildings. The size of these markets is determined primarily by the number of commercial and industrial building completions. The replacement market consists of products installed to replace existing units/components that are worn or damaged. Currently, over half of the industry's market consists of replacement units. The commercial and industrial new construction market is subject to cyclical fluctuations in that it is generally tied to housing starts, but has a lag factor of six to 18 months. When new construction is down, we emphasize the replacement market. Based on our 2017 sales of $405 million, we estimate that we have approximately a 12% share of the greater than five ton rooftop market and a 2% share of the less than five ton market. Approximately 55% of our sales were generated from the renovation and replacement markets and 45% from new construction. The percentage of sales for new construction vs. replacement to particular customers is related to the customer's stage of development. We purchase certain components, fabricate sheet metal and tubing and then assemble and test the finished products. Our primary finished products consist of a single unit system containing heating and cooling in a self-contained cabinet, referred to in the industry as \"unitary products\". Our other finished products are chillers, packaged outdoor me
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{"example_id": 2330, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2330\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: To require any delivery vehicle owned or leased by the United States Postal Service have an air conditioning unit, and for other purposes.\nbill_summary: Peggy Frank Memorial Act\n\nThis bill requires, by three years after this bill's enactment, that any delivery vehicle owned or leased by the U.S. Postal Service (USPS) be modified to include an air conditioning unit.\n\nThe USPS may not purchase or lease any delivery vehicle unless that vehicle has an air conditioning unit.\ncompany_name: AAON, Inc.\ncompany_description: We are engaged in the engineering, manufacturing, marketing and sale of air conditioning and heating equipment consisting of standard, semi-custom and custom rooftop units, chillers, packaged outdoor mechanical rooms, air handling units, makeup air units, energy recovery units, condensing units, geothermal/water-source heat pumps and coils. Our products serve the commercial and industrial new construction and replacement markets. To date, our sales have been primarily to the domestic market. Our rooftop and condensing unit markets primarily consist of units installed on commercial or industrial structures of generally less than ten stories in height. Our air handling units, self-contained units, geothermal/water-source heat pumps, chillers, packaged outdoor mechanical rooms and coils are suitable for all sizes of commercial and industrial buildings. The size of these markets is determined primarily by the number of commercial and industrial building completions. The replacement market consists of products installed to replace existing units/components that are worn or damaged. Currently, over half of the industry's market consists of replacement units. The commercial and industrial new construction market is subject to cyclical fluctuations in that it is generally tied to housing starts, but has a lag factor of six to 18 months. When new construction is down, we emphasize the replacement market. Based on our 2017 sales of $405 million, we estimate that we have approximately a 12% share of the greater than five ton rooftop market and a 2% share of the less than five ton market. Approximately 55% of our sales were generated from the renovation and replacement markets and 45% from new construction. The percentage of sales for new construction vs. replacement to particular customers is related to the customer's stage of development. We purchase certain components, fabricate sheet metal and tubing and then assemble and test the finished products. Our primary finished products consist of a single unit system containing heating and cooling in a self-contained cabinet, referred to in the industry as \"unitary products\". Our other finished products are chillers, packaged outdoor me
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{"example_id": 2237, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2237\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend title XVIII of the Social Security Act to require the Secretary of Health and Human Services to negotiate prices of prescription drugs furnished under part D of the Medicare program.\nbill_summary: Medicare Negotiation and Competitive Licensing Act of 2019\n\nThis bill requires the Centers for Medicare & Medicaid Services (CMS) to negotiate with pharmaceutical companies regarding prices for drugs covered under the Medicare prescription drug benefit. (Current law prohibits the CMS from doing so.)\n\nThe CMS must take certain factors into account during negotiations, including the clinical- and cost-effectiveness of the drug, the financial burden on patients, and unmet patient needs. If the CMS is unable to negotiate the price of a drug, such drug is subject to competitive licensing in order to further its sale under Medicare, notwithstanding existing government-granted exclusivities.\n\nAdditionally, for one year after a drug is provided under a competitive license, such drug is also subject to specified price limitations; if the drug is not offered at such prices, the drug is subject to additional licensing that furthers its sale under any federal program (e.g., Medicaid).\ncompany_name: Akcea Therapeutics, Inc.\ncompany_description: We are a late-stage biopharmaceutical company focused on developing and commercializing drugs to treat patients with serious cardiometabolic diseases caused by lipid disorders. Our goal is to become the premier company offering treatments for these inadequately treated diseases. We are advancing a mature pipeline of four novel drugs with the potential to treat multiple diseases. Our most advanced drug, volanesorsen, is currently under review by regulatory agencies in the United States, or U.S., European Union, or EU, and Canada for the treatment of people with familial chylomicronemia syndrome, or FCS. In the U.S., the Food and Drug Administration, or FDA, assigned a Prescription Drug User Fee Act, or PDUFA, goal date of August 30, 2018 and scheduled advisory committee meeting for May 10, 2018. In Canada, our New Drug Submission, or NDS, was granted Priority Review by Health Canada. FCS is a severe, rare, genetically defined lipid disorder characterized by extremely elevated levels of triglycerides. FCS has life-threatening consequences such as acute pancreatitis and the lives of patients with these diseases are impacted daily by the associated symptoms. In our clinical program, we have observed consistent and substantial (>70%) decreases in triglycerides and improvements in other manifestations of FCS, including pancreatitis attacks and abdominal pain. We believe the safety and efficacy data from the volanesorsen program demonstrate a favorable risk
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{"example_id": 2237, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2237\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend title XVIII of the Social Security Act to require the Secretary of Health and Human Services to negotiate prices of prescription drugs furnished under part D of the Medicare program.\nbill_summary: Medicare Negotiation and Competitive Licensing Act of 2019\n\nThis bill requires the Centers for Medicare & Medicaid Services (CMS) to negotiate with pharmaceutical companies regarding prices for drugs covered under the Medicare prescription drug benefit. (Current law prohibits the CMS from doing so.)\n\nThe CMS must take certain factors into account during negotiations, including the clinical- and cost-effectiveness of the drug, the financial burden on patients, and unmet patient needs. If the CMS is unable to negotiate the price of a drug, such drug is subject to competitive licensing in order to further its sale under Medicare, notwithstanding existing government-granted exclusivities.\n\nAdditionally, for one year after a drug is provided under a competitive license, such drug is also subject to specified price limitations; if the drug is not offered at such prices, the drug is subject to additional licensing that furthers its sale under any federal program (e.g., Medicaid).\ncompany_name: Akcea Therapeutics, Inc.\ncompany_description: We are a late-stage biopharmaceutical company focused on developing and commercializing drugs to treat patients with serious cardiometabolic diseases caused by lipid disorders. Our goal is to become the premier company offering treatments for these inadequately treated diseases. We are advancing a mature pipeline of four novel drugs with the potential to treat multiple diseases. Our most advanced drug, volanesorsen, is currently under review by regulatory agencies in the United States, or U.S., European Union, or EU, and Canada for the treatment of people with familial chylomicronemia syndrome, or FCS. In the U.S., the Food and Drug Administration, or FDA, assigned a Prescription Drug User Fee Act, or PDUFA, goal date of August 30, 2018 and scheduled advisory committee meeting for May 10, 2018. In Canada, our New Drug Submission, or NDS, was granted Priority Review by Health Canada. FCS is a severe, rare, genetically defined lipid disorder characterized by extremely elevated levels of triglycerides. FCS has life-threatening consequences such as acute pancreatitis and the lives of patients with these diseases are impacted daily by the associated symptoms. In our clinical program, we have observed consistent and substantial (>70%) decreases in triglycerides and improvements in other manifestations of FCS, including pancreatitis attacks and abdominal pain. We believe the safety and efficacy data from the volanesorsen program demonstrate a favorable risk
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{"example_id": 2237, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 2237\n\nQuestion:\nLegalBench task: corporate_lobbying\n\nTEXT:\nbill_title: A bill to amend title XVIII of the Social Security Act to require the Secretary of Health and Human Services to negotiate prices of prescription drugs furnished under part D of the Medicare program.\nbill_summary: Medicare Negotiation and Competitive Licensing Act of 2019\n\nThis bill requires the Centers for Medicare & Medicaid Services (CMS) to negotiate with pharmaceutical companies regarding prices for drugs covered under the Medicare prescription drug benefit. (Current law prohibits the CMS from doing so.)\n\nThe CMS must take certain factors into account during negotiations, including the clinical- and cost-effectiveness of the drug, the financial burden on patients, and unmet patient needs. If the CMS is unable to negotiate the price of a drug, such drug is subject to competitive licensing in order to further its sale under Medicare, notwithstanding existing government-granted exclusivities.\n\nAdditionally, for one year after a drug is provided under a competitive license, such drug is also subject to specified price limitations; if the drug is not offered at such prices, the drug is subject to additional licensing that furthers its sale under any federal program (e.g., Medicaid).\ncompany_name: Akcea Therapeutics, Inc.\ncompany_description: We are a late-stage biopharmaceutical company focused on developing and commercializing drugs to treat patients with serious cardiometabolic diseases caused by lipid disorders. Our goal is to become the premier company offering treatments for these inadequately treated diseases. We are advancing a mature pipeline of four novel drugs with the potential to treat multiple diseases. Our most advanced drug, volanesorsen, is currently under review by regulatory agencies in the United States, or U.S., European Union, or EU, and Canada for the treatment of people with familial chylomicronemia syndrome, or FCS. In the U.S., the Food and Drug Administration, or FDA, assigned a Prescription Drug User Fee Act, or PDUFA, goal date of August 30, 2018 and scheduled advisory committee meeting for May 10, 2018. In Canada, our New Drug Submission, or NDS, was granted Priority Review by Health Canada. FCS is a severe, rare, genetically defined lipid disorder characterized by extremely elevated levels of triglycerides. FCS has life-threatening consequences such as acute pancreatitis and the lives of patients with these diseases are impacted daily by the associated symptoms. In our clinical program, we have observed consistent and substantial (>70%) decreases in triglycerides and improvements in other manifestations of FCS, including pancreatitis attacks and abdominal pain. We believe the safety and efficacy data from the volanesorsen program demonstrate a favorable risk
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{"example_id": 486, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 486\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nBoston's gunpowder law imposed a £10 fine upon “any Person” who “shall take into any Dwelling–House, Stable, Barn, Out-house, Ware-house, Store, Shop, or other Building, within the Town of Boston, any ... Fire–Arm, loaded with, or having Gun–Powder.” An Act in Addition to the several Acts already made for the prudent Storage of Gun–Powder within the Town of Boston, ch. XIII, 1783 Mass. Acts pp. 218–219; see also 1 S. Johnson, A Dictionary of the English Language 751 (4th ed. 1773) (defining “firearms” as “[a]rms which owe their efficacy to fire; guns”)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_486_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}]}
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{"example_id": 486, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 486\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nBoston's gunpowder law imposed a £10 fine upon “any Person” who “shall take into any Dwelling–House, Stable, Barn, Out-house, Ware-house, Store, Shop, or other Building, within the Town of Boston, any ... Fire–Arm, loaded with, or having Gun–Powder.” An Act in Addition to the several Acts already made for the prudent Storage of Gun–Powder within the Town of Boston, ch. XIII, 1783 Mass. Acts pp. 218–219; see also 1 S. Johnson, A Dictionary of the English Language 751 (4th ed. 1773) (defining “firearms” as “[a]rms which owe their efficacy to fire; guns”)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_486_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_486_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification: A text is a definition if it explicitly states the meaning of a term, often using phrases like 'is defined as' or from a dictionary entry.\", \"source\": \"Common classification task guideline\"}\n ],\n \"elements\": [\n {\"element\": \"Text explicitly defines a term\", \"satisfied\": \"no\", \"evidence\": \"The text describes a legal law, not a definition of a term. It does not use defining language; it merely states the law's content.\"}\n ],\n \"conclusion_logic\": \"If the text contains a direct definition of a term (e.g., 'X is defined as Y'), then the appropriate label is Yes; otherwise, if it is an example, description, or narrative, the label is No.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_486_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 486, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 486\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nBoston's gunpowder law imposed a £10 fine upon “any Person” who “shall take into any Dwelling–House, Stable, Barn, Out-house, Ware-house, Store, Shop, or other Building, within the Town of Boston, any ... Fire–Arm, loaded with, or having Gun–Powder.” An Act in Addition to the several Acts already made for the prudent Storage of Gun–Powder within the Town of Boston, ch. XIII, 1783 Mass. Acts pp. 218–219; see also 1 S. Johnson, A Dictionary of the English Language 751 (4th ed. 1773) (defining “firearms” as “[a]rms which owe their efficacy to fire; guns”)\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_486_1", "type": "function", "function": {"name": "rule_applier_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_486_1", "name": "rule_applier_tool", "content": "{\n \"applicable_rules\": [\n {\"rule\": \"Definition classification: A text is a definition if it explicitly states the meaning of a term, often using phrases like 'is defined as' or from a dictionary entry.\", \"source\": \"Common classification task guideline\"}\n ],\n \"elements\": [\n {\"element\": \"Text explicitly defines a term\", \"satisfied\": \"no\", \"evidence\": \"The text describes a legal law, not a definition of a term. It does not use defining language; it merely states the law's content.\"}\n ],\n \"conclusion_logic\": \"If the text contains a direct definition of a term (e.g., 'X is defined as Y'), then the appropriate label is Yes; otherwise, if it is an example, description, or narrative, the label is No.\",\n \"uncertainty_notes\": [],\n \"confidence\": 0.95\n}"}, {"role": "assistant", "tool_calls": [{"id": "call_486_2", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_486_2", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes Boston's gunpowder law imposing fine for bringing loaded firearm or gunpowder into buildings.\",\n \"Text includes definition of 'firearms' from Johnson's Dictionary.\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily defines a term or primarily states a legal rule.\",\n \"Whether the definition is integral to the text's meaning or a separate commentary.\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a text is definitional if it explicitly states the meaning of a term; otherwise it is a rule or description.\",\n
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{"example_id": 174, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 174\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nDisgorgement as a remedy in its own right is also absent from legal publications until the 20th century. Leading legal dictionaries did not define the term until the turn of the 20th century. See, e.g., Merriam-Webster's Dictionary of Law 143 (1996); Black's Law Dictionary 480 (7th ed. 1999).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_174_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 174, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 174\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nDisgorgement as a remedy in its own right is also absent from legal publications until the 20th century. Leading legal dictionaries did not define the term until the turn of the 20th century. See, e.g., Merriam-Webster's Dictionary of Law 143 (1996); Black's Law Dictionary 480 (7th ed. 1999).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_174_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_174_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Disgorgement was not a defined remedy in legal publications until 20th century\",\n \"Leading legal dictionaries did not define term until turn of 20th century\",\n \"Examples include Merriam-Webster's Dictionary of Law (1996) and Black's Law Dictionary (1999)\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text confirms or denies the existence of a definition\",\n \"The timeframe context of the definition's appearance\"\n ],\n \"knowledge_slots\": [\n \"Disgorgement as a legal remedy was not defined in dictionaries until 20th century\",\n \"Definition classification tasks assess if text supports a given label about definitions\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is used to answer a question that asks for a classification label\",\n \"The text's content aligns with the definition being discussed\"\n ],\n \"less_relevant_if\": [\n \"The text only describes delay in definition without directly classifying\",\n \"The task requires explicit yes/no on definition existence\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text is used to answer a question that asks for a classification label\",\n \"The text's content directly addresses the definition's presence\"\n ],\n \"less_relevant_if\": [\n \"The text only describes historical absence without classification\",\n \"The task requires a binary yes/no on definition classification\"\n ]\n }\n ],\n \"missing_information\": [\n \"The exact question being classified (e.g., 'Is disgorgement defined in 19th century?')\",\n \"The intended meaning of labels 'No' and 'Yes' in this task\"\n ],\n \"format_confidence\": 0.8\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 137, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 137\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn the 1930's, “scrip” could refer to “[c]ertificates of ownership, either absolute or conditional, of shares in a public company, corporate profits, etc.” Black's Law Dictionary, at 1588; C. Alsager, Dictionary of Business Terms 321 (1932) (“A certificate which represents fractions of shares of stock”); 3 F. Stroud, Judicial Dictionary 1802 (2d ed. 1903) (“a [c]ertificate, transferable by delivery, entitling its holder to become a Shareholder or Bondholder in respect of the shares or bonds therein mentioned”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_137_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 137, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 137\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nIn the 1930's, “scrip” could refer to “[c]ertificates of ownership, either absolute or conditional, of shares in a public company, corporate profits, etc.” Black's Law Dictionary, at 1588; C. Alsager, Dictionary of Business Terms 321 (1932) (“A certificate which represents fractions of shares of stock”); 3 F. Stroud, Judicial Dictionary 1802 (2d ed. 1903) (“a [c]ertificate, transferable by delivery, entitling its holder to become a Shareholder or Bondholder in respect of the shares or bonds therein mentioned”).\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_137_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_137_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text describes multiple historical definitions of 'scrip' from legal dictionaries\",\n \"Definitions include certificates of ownership, fractions of shares, transferable entitlements\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text primarily states the meaning of a term\",\n \"Whether the text is organized as a definition (e.g., 'could refer to', 'means', 'entitling')\"\n ],\n \"knowledge_slots\": [\n \"Definition classification: a passage that explains the meaning of a word or phrase\",\n \"Legal dictionaries often provide definitions in the format 'X means Y'\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"A\",\n \"relevant_if\": [\n \"The text is not structured as a definition (e.g., narrative, argument, example without defining)\"\n ],\n \"less_relevant_if\": [\n \"The text explicitly states what a term refers to, using defining language\"\n ]\n },\n {\n \"choice_key\": \"B\",\n \"relevant_if\": [\n \"The text collects and presents definitions of a term from authoritative sources\"\n ],\n \"less_relevant_if\": [\n \"The text is ambiguous, definitional language is minor or mixed with other content\"\n ]\n }\n ],\n \"missing_information\": [\n \"Explicit classification rubric (e.g., what constitutes a 'definition' in this task)\"\n ],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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{"example_id": 33, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 33\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFirst, a stay is “a kind of injunction,” Black's 1413\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}], "response": [{"role": "assistant", "tool_calls": [{"id": "call_33_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}]}
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{"example_id": 33, "prompt": [{"role": "system", "content": "You are a manager agent solving legal multiple-choice questions.\n\nYou have THREE tools available via the native tool-calling interface:\n - extractor_tool: pulls clinical/factual signals from the question (and context, if any).\n - reasoner_tool: produces a structured reasoning scaffold (sub-questions, knowledge, per-choice analysis).\n - rule_applier_tool: identifies applicable rules/criteria and maps facts to their elements.\n\nRouting policy:\n - You may call 0 to 3 tools total. Each tool may be used at most once.\n - Prefer answering directly if you are confident.\n - If uncertain, call ONE tool first, read its output, then decide whether to call another.\n - Reserve all three tools for hard cases.\n\nOutput rules:\n - When calling a tool, use the native interface. Do NOT write tool calls, XML, or JSON in your text content.\n - When calling a tool, do NOT also output a final answer in the same turn.\n - When you are ready to answer, your message must end with exactly one of these lines:\n ANSWER_A\n ANSWER_B\n - You may include brief reasoning above the final ANSWER_ line, but nothing after it.\n - Do not output <think> tags.\n"}, {"role": "user", "content": "Example ID: 33\n\nQuestion:\nLegalBench task: definition_classification\n\nTEXT:\nFirst, a stay is “a kind of injunction,” Black's 1413\n\nClassify this text into the most appropriate label from the choices.\n\nChoices:\n A. No\n B. Yes\n\nIf you call a tool, the current example is already bound — call without arguments.\n\nIf you do not call any tool, answer directly."}, {"role": "assistant", "tool_calls": [{"id": "call_33_1", "type": "function", "function": {"name": "reasoner_tool", "arguments": "{}"}}]}, {"role": "tool", "tool_call_id": "call_33_1", "name": "reasoner_tool", "content": "{\n \"case_facts\": [\n \"Text: 'First, a stay is \\\"a kind of injunction,\\\" Black's 1413'\",\n \"Task: Classify whether the text constitutes a definition\",\n \"Choices: Yes (Yes), No (No)\"\n ],\n \"task_type\": \"definition_classification\",\n \"decision_factors\": [\n \"Whether the text explicitly states a term followed by a descriptive phrase\",\n \"Whether the text includes a source citation for the definition\",\n \"Whether the text is structured as a declarative statement\"\n ],\n \"knowledge_slots\": [\n \"A definition typically identifies a term and provides its meaning or category\",\n \"Legal definitions often cite sources like Black's Law Dictionary\"\n ],\n \"candidate_considerations\": [\n {\n \"choice_key\": \"Yes\",\n \"relevant_if\": [\n \"The text contains a term defined by a descriptive phrase\",\n \"The text follows a standard definition format with source\"\n ],\n \"less_relevant_if\": [\n \"The text is merely an example or commentary without defining a term\",\n \"The text lacks a clear definitional structure\"\n ]\n },\n {\n \"choice_key\": \"No\",\n \"relevant_if\": [\n \"The text does not clearly define a term but rather uses it in context\",\n \"The text is incomplete or ambiguous in meaning\"\n ],\n \"less_relevant_if\": [\n \"The text clearly defines a term with a source\",\n \"The text is structured as a definition\"\n ]\n }\n ],\n \"missing_information\": [],\n \"format_confidence\": 0.95\n}"}], "response": [{"role": "assistant", "content": "ANSWER_B"}]}
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