1092 lines
37 KiB
JSON
1092 lines
37 KiB
JSON
{
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"mmlu_pro_computer_science",
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"mmlu_pro_economics",
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"mmlu_pro_engineering",
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"mmlu_pro_health",
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"mmlu_pro_law",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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}
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},
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"task": "mmlu_pro_computer_science",
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"task_alias": "computer_science",
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"dataset_path": "TIGER-Lab/MMLU-Pro",
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"test_split": "test",
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"process_docs": "functools.partial(<function process_docs at 0x14c1e2796dd0>, subject='computer science')",
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"description": "The following are multiple choice questions (with answers) about computer science. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"doc_to_text": "functools.partial(<function format_cot_example at 0x14c1e27972e0>, including_answer=True)",
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"task": "mmlu_pro_economics",
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"dataset_path": "TIGER-Lab/MMLU-Pro",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"doc_to_text": "functools.partial(<function format_cot_example at 0x14c1e2795750>, including_answer=True)",
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}
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"task": "mmlu_pro_engineering",
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"task_alias": "engineering",
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"dataset_path": "TIGER-Lab/MMLU-Pro",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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}
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}
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},
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"task": "mmlu_pro_health",
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"task_alias": "health",
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"dataset_path": "TIGER-Lab/MMLU-Pro",
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"doc_to_target": "answer",
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"description": "The following are multiple choice questions (with answers) about health. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_pro_history": {
|
|
"task": "mmlu_pro_history",
|
|
"task_alias": "history",
|
|
"dataset_path": "TIGER-Lab/MMLU-Pro",
|
|
"test_split": "test",
|
|
"fewshot_split": "validation",
|
|
"process_docs": "functools.partial(<function process_docs at 0x14c204b63be0>, subject='history')",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b620e0>, including_answer=False)",
|
|
"doc_to_target": "answer",
|
|
"description": "The following are multiple choice questions (with answers) about history. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
|
|
"target_delimiter": " ",
|
|
"fewshot_delimiter": "\n\n",
|
|
"fewshot_config": {
|
|
"sampler": "first_n",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b631c0>, including_answer=True)",
|
|
"doc_to_target": ""
|
|
},
|
|
"num_fewshot": 5,
|
|
"metric_list": [
|
|
{
|
|
"metric": "exact_match",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true,
|
|
"ignore_case": true,
|
|
"ignore_punctuation": true
|
|
}
|
|
],
|
|
"output_type": "generate_until",
|
|
"generation_kwargs": {
|
|
"until": [
|
|
"</s>",
|
|
"Q:",
|
|
"<|im_end|>"
|
|
],
|
|
"do_sample": false,
|
|
"temperature": 0.0
|
|
},
|
|
"repeats": 1,
|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_pro_law": {
|
|
"task": "mmlu_pro_law",
|
|
"task_alias": "law",
|
|
"dataset_path": "TIGER-Lab/MMLU-Pro",
|
|
"test_split": "test",
|
|
"fewshot_split": "validation",
|
|
"process_docs": "functools.partial(<function process_docs at 0x14c204b63910>, subject='law')",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b61f30>, including_answer=False)",
|
|
"doc_to_target": "answer",
|
|
"description": "The following are multiple choice questions (with answers) about law. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
|
|
"target_delimiter": " ",
|
|
"fewshot_delimiter": "\n\n",
|
|
"fewshot_config": {
|
|
"sampler": "first_n",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b639a0>, including_answer=True)",
|
|
"doc_to_target": ""
|
|
},
|
|
"num_fewshot": 5,
|
|
"metric_list": [
|
|
{
|
|
"metric": "exact_match",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true,
|
|
"ignore_case": true,
|
|
"ignore_punctuation": true
|
|
}
|
|
],
|
|
"output_type": "generate_until",
|
|
"generation_kwargs": {
|
|
"until": [
|
|
"</s>",
|
|
"Q:",
|
|
"<|im_end|>"
|
|
],
|
|
"do_sample": false,
|
|
"temperature": 0.0
|
|
},
|
|
"repeats": 1,
|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_pro_math": {
|
|
"task": "mmlu_pro_math",
|
|
"task_alias": "math",
|
|
"dataset_path": "TIGER-Lab/MMLU-Pro",
|
|
"test_split": "test",
|
|
"fewshot_split": "validation",
|
|
"process_docs": "functools.partial(<function process_docs at 0x14c204b63370>, subject='math')",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b63d00>, including_answer=False)",
|
|
"doc_to_target": "answer",
|
|
"description": "The following are multiple choice questions (with answers) about math. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
|
|
"target_delimiter": " ",
|
|
"fewshot_delimiter": "\n\n",
|
|
"fewshot_config": {
|
|
"sampler": "first_n",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b63880>, including_answer=True)",
|
|
"doc_to_target": ""
|
|
},
|
|
"num_fewshot": 5,
|
|
"metric_list": [
|
|
{
|
|
"metric": "exact_match",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true,
|
|
"ignore_case": true,
|
|
"ignore_punctuation": true
|
|
}
|
|
],
|
|
"output_type": "generate_until",
|
|
"generation_kwargs": {
|
|
"until": [
|
|
"</s>",
|
|
"Q:",
|
|
"<|im_end|>"
|
|
],
|
|
"do_sample": false,
|
|
"temperature": 0.0
|
|
},
|
|
"repeats": 1,
|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_pro_other": {
|
|
"task": "mmlu_pro_other",
|
|
"task_alias": "other",
|
|
"dataset_path": "TIGER-Lab/MMLU-Pro",
|
|
"test_split": "test",
|
|
"fewshot_split": "validation",
|
|
"process_docs": "functools.partial(<function process_docs at 0x14c204b62950>, subject='other')",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b62ef0>, including_answer=False)",
|
|
"doc_to_target": "answer",
|
|
"description": "The following are multiple choice questions (with answers) about other. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
|
|
"target_delimiter": " ",
|
|
"fewshot_delimiter": "\n\n",
|
|
"fewshot_config": {
|
|
"sampler": "first_n",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b632e0>, including_answer=True)",
|
|
"doc_to_target": ""
|
|
},
|
|
"num_fewshot": 5,
|
|
"metric_list": [
|
|
{
|
|
"metric": "exact_match",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true,
|
|
"ignore_case": true,
|
|
"ignore_punctuation": true
|
|
}
|
|
],
|
|
"output_type": "generate_until",
|
|
"generation_kwargs": {
|
|
"until": [
|
|
"</s>",
|
|
"Q:",
|
|
"<|im_end|>"
|
|
],
|
|
"do_sample": false,
|
|
"temperature": 0.0
|
|
},
|
|
"repeats": 1,
|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_pro_philosophy": {
|
|
"task": "mmlu_pro_philosophy",
|
|
"task_alias": "philosophy",
|
|
"dataset_path": "TIGER-Lab/MMLU-Pro",
|
|
"test_split": "test",
|
|
"fewshot_split": "validation",
|
|
"process_docs": "functools.partial(<function process_docs at 0x14c204bb3520>, subject='philosophy')",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204bb1fc0>, including_answer=False)",
|
|
"doc_to_target": "answer",
|
|
"description": "The following are multiple choice questions (with answers) about philosophy. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
|
|
"target_delimiter": " ",
|
|
"fewshot_delimiter": "\n\n",
|
|
"fewshot_config": {
|
|
"sampler": "first_n",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b62830>, including_answer=True)",
|
|
"doc_to_target": ""
|
|
},
|
|
"num_fewshot": 5,
|
|
"metric_list": [
|
|
{
|
|
"metric": "exact_match",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true,
|
|
"ignore_case": true,
|
|
"ignore_punctuation": true
|
|
}
|
|
],
|
|
"output_type": "generate_until",
|
|
"generation_kwargs": {
|
|
"until": [
|
|
"</s>",
|
|
"Q:",
|
|
"<|im_end|>"
|
|
],
|
|
"do_sample": false,
|
|
"temperature": 0.0
|
|
},
|
|
"repeats": 1,
|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_pro_physics": {
|
|
"task": "mmlu_pro_physics",
|
|
"task_alias": "physics",
|
|
"dataset_path": "TIGER-Lab/MMLU-Pro",
|
|
"test_split": "test",
|
|
"fewshot_split": "validation",
|
|
"process_docs": "functools.partial(<function process_docs at 0x14c20629f760>, subject='physics')",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c21a719ea0>, including_answer=False)",
|
|
"doc_to_target": "answer",
|
|
"description": "The following are multiple choice questions (with answers) about physics. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
|
|
"target_delimiter": " ",
|
|
"fewshot_delimiter": "\n\n",
|
|
"fewshot_config": {
|
|
"sampler": "first_n",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c204b62320>, including_answer=True)",
|
|
"doc_to_target": ""
|
|
},
|
|
"num_fewshot": 5,
|
|
"metric_list": [
|
|
{
|
|
"metric": "exact_match",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true,
|
|
"ignore_case": true,
|
|
"ignore_punctuation": true
|
|
}
|
|
],
|
|
"output_type": "generate_until",
|
|
"generation_kwargs": {
|
|
"until": [
|
|
"</s>",
|
|
"Q:",
|
|
"<|im_end|>"
|
|
],
|
|
"do_sample": false,
|
|
"temperature": 0.0
|
|
},
|
|
"repeats": 1,
|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_pro_psychology": {
|
|
"task": "mmlu_pro_psychology",
|
|
"task_alias": "psychology",
|
|
"dataset_path": "TIGER-Lab/MMLU-Pro",
|
|
"test_split": "test",
|
|
"fewshot_split": "validation",
|
|
"process_docs": "functools.partial(<function process_docs at 0x14c2062e27a0>, subject='psychology')",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c2062e2830>, including_answer=False)",
|
|
"doc_to_target": "answer",
|
|
"description": "The following are multiple choice questions (with answers) about psychology. Think step by step and then finish your answer with \"the answer is (X)\" where X is the correct letter choice.\n",
|
|
"target_delimiter": " ",
|
|
"fewshot_delimiter": "\n\n",
|
|
"fewshot_config": {
|
|
"sampler": "first_n",
|
|
"doc_to_text": "functools.partial(<function format_cot_example at 0x14c2062e2950>, including_answer=True)",
|
|
"doc_to_target": ""
|
|
},
|
|
"num_fewshot": 5,
|
|
"metric_list": [
|
|
{
|
|
"metric": "exact_match",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true,
|
|
"ignore_case": true,
|
|
"ignore_punctuation": true
|
|
}
|
|
],
|
|
"output_type": "generate_until",
|
|
"generation_kwargs": {
|
|
"until": [
|
|
"</s>",
|
|
"Q:",
|
|
"<|im_end|>"
|
|
],
|
|
"do_sample": false,
|
|
"temperature": 0.0
|
|
},
|
|
"repeats": 1,
|
|
"filter_list": [
|
|
{
|
|
"name": "custom-extract",
|
|
"filter": [
|
|
{
|
|
"function": "regex",
|
|
"regex_pattern": "answer is \\(?([ABCDEFGHIJ])\\)?"
|
|
},
|
|
{
|
|
"function": "take_first"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
}
|
|
},
|
|
"versions": {
|
|
"mmlu_pro": 2.0,
|
|
"mmlu_pro_biology": 1.0,
|
|
"mmlu_pro_business": 1.0,
|
|
"mmlu_pro_chemistry": 1.0,
|
|
"mmlu_pro_computer_science": 1.0,
|
|
"mmlu_pro_economics": 1.0,
|
|
"mmlu_pro_engineering": 1.0,
|
|
"mmlu_pro_health": 1.0,
|
|
"mmlu_pro_history": 1.0,
|
|
"mmlu_pro_law": 1.0,
|
|
"mmlu_pro_math": 1.0,
|
|
"mmlu_pro_other": 1.0,
|
|
"mmlu_pro_philosophy": 1.0,
|
|
"mmlu_pro_physics": 1.0,
|
|
"mmlu_pro_psychology": 1.0
|
|
},
|
|
"n-shot": {
|
|
"mmlu_pro_biology": 5,
|
|
"mmlu_pro_business": 5,
|
|
"mmlu_pro_chemistry": 5,
|
|
"mmlu_pro_computer_science": 5,
|
|
"mmlu_pro_economics": 5,
|
|
"mmlu_pro_engineering": 5,
|
|
"mmlu_pro_health": 5,
|
|
"mmlu_pro_history": 5,
|
|
"mmlu_pro_law": 5,
|
|
"mmlu_pro_math": 5,
|
|
"mmlu_pro_other": 5,
|
|
"mmlu_pro_philosophy": 5,
|
|
"mmlu_pro_physics": 5,
|
|
"mmlu_pro_psychology": 5
|
|
},
|
|
"higher_is_better": {
|
|
"mmlu_pro": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_biology": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_business": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_chemistry": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_computer_science": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_economics": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_engineering": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_health": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_history": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_law": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_math": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_other": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_philosophy": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_physics": {
|
|
"exact_match": true
|
|
},
|
|
"mmlu_pro_psychology": {
|
|
"exact_match": true
|
|
}
|
|
},
|
|
"n-samples": {
|
|
"mmlu_pro_biology": {
|
|
"original": 717,
|
|
"effective": 717
|
|
},
|
|
"mmlu_pro_business": {
|
|
"original": 789,
|
|
"effective": 789
|
|
},
|
|
"mmlu_pro_chemistry": {
|
|
"original": 1132,
|
|
"effective": 1132
|
|
},
|
|
"mmlu_pro_computer_science": {
|
|
"original": 410,
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