{ "results": { "mmlu": { "acc,none": 0.6782509614015098, "acc_stderr,none": 0.0037024105374157067, "alias": "mmlu" }, "mmlu_humanities": { "acc,none": 0.5787460148777895, "acc_stderr,none": 0.006609876050554653, "alias": " - humanities" }, "mmlu_formal_logic": { "alias": " - formal_logic", "acc,none": 0.5873015873015873, "acc_stderr,none": 0.04403438954768176 }, "mmlu_high_school_european_history": { "alias": " - high_school_european_history", "acc,none": 0.7818181818181819, "acc_stderr,none": 0.032250781083062896 }, "mmlu_high_school_us_history": { "alias": " - high_school_us_history", "acc,none": 0.8480392156862745, "acc_stderr,none": 0.025195658428931792 }, "mmlu_high_school_world_history": { "alias": " - high_school_world_history", "acc,none": 0.8312236286919831, "acc_stderr,none": 0.02438140683258622 }, "mmlu_international_law": { "alias": " - international_law", "acc,none": 0.7768595041322314, "acc_stderr,none": 0.03800754475228733 }, "mmlu_jurisprudence": { "alias": " - jurisprudence", "acc,none": 0.7870370370370371, "acc_stderr,none": 0.0395783547198098 }, "mmlu_logical_fallacies": { "alias": " - logical_fallacies", "acc,none": 0.8282208588957055, "acc_stderr,none": 0.029634717272371037 }, "mmlu_moral_disputes": { "alias": " - moral_disputes", "acc,none": 0.7109826589595376, "acc_stderr,none": 0.024405173935783234 }, "mmlu_moral_scenarios": { "alias": " - moral_scenarios", "acc,none": 0.2837988826815642, "acc_stderr,none": 0.015078358970751772 }, "mmlu_philosophy": { "alias": " - philosophy", "acc,none": 0.7331189710610932, "acc_stderr,none": 0.025122637608816643 }, "mmlu_prehistory": { "alias": " - prehistory", "acc,none": 0.7623456790123457, "acc_stderr,none": 0.02368359183700856 }, "mmlu_professional_law": { "alias": " - professional_law", "acc,none": 0.47392438070404175, "acc_stderr,none": 0.012752858346533133 }, "mmlu_world_religions": { "alias": " - world_religions", "acc,none": 0.783625730994152, "acc_stderr,none": 0.031581495393387324 }, "mmlu_other": { "acc,none": 0.7212745413582233, "acc_stderr,none": 0.00782940794550645, "alias": " - other" }, "mmlu_business_ethics": { "alias": " - business_ethics", "acc,none": 0.73, "acc_stderr,none": 0.044619604333847394 }, "mmlu_clinical_knowledge": { "alias": " - clinical_knowledge", "acc,none": 0.7547169811320755, "acc_stderr,none": 0.026480357179895685 }, "mmlu_college_medicine": { "alias": " - college_medicine", "acc,none": 0.7109826589595376, "acc_stderr,none": 0.034564257450869995 }, "mmlu_global_facts": { "alias": " - global_facts", "acc,none": 0.41, "acc_stderr,none": 0.049431107042371025 }, "mmlu_human_aging": { "alias": " - human_aging", "acc,none": 0.6771300448430493, "acc_stderr,none": 0.031381476375754995 }, "mmlu_management": { "alias": " - management", "acc,none": 0.8446601941747572, "acc_stderr,none": 0.03586594738573974 }, "mmlu_marketing": { "alias": " - marketing", "acc,none": 0.8547008547008547, "acc_stderr,none": 0.0230866350868414 }, "mmlu_medical_genetics": { "alias": " - medical_genetics", "acc,none": 0.75, "acc_stderr,none": 0.04351941398892446 }, "mmlu_miscellaneous": { "alias": " - miscellaneous", "acc,none": 0.7969348659003831, "acc_stderr,none": 0.01438552507661157 }, "mmlu_nutrition": { "alias": " - nutrition", "acc,none": 0.7483660130718954, "acc_stderr,none": 0.02484801826387519 }, "mmlu_professional_accounting": { "alias": " - professional_accounting", "acc,none": 0.549645390070922, "acc_stderr,none": 0.02968010556502904 }, "mmlu_professional_medicine": { "alias": " - professional_medicine", "acc,none": 0.7169117647058824, "acc_stderr,none": 0.02736586113151381 }, "mmlu_virology": { "alias": " - virology", "acc,none": 0.5301204819277109, "acc_stderr,none": 0.03885425420866767 }, "mmlu_social_sciences": { "acc,none": 0.7838804029899252, "acc_stderr,none": 0.007332607468558831, "alias": " - social sciences" }, "mmlu_econometrics": { "alias": " - econometrics", "acc,none": 0.6403508771929824, "acc_stderr,none": 0.04514496132873633 }, "mmlu_high_school_geography": { "alias": " - high_school_geography", "acc,none": 0.8434343434343434, "acc_stderr,none": 0.025890520358141454 }, "mmlu_high_school_government_and_politics": { "alias": " - high_school_government_and_politics", "acc,none": 0.8704663212435233, "acc_stderr,none": 0.024233532297758723 }, "mmlu_high_school_macroeconomics": { "alias": " - high_school_macroeconomics", "acc,none": 0.7461538461538462, "acc_stderr,none": 0.022066054378726257 }, "mmlu_high_school_microeconomics": { "alias": " - high_school_microeconomics", "acc,none": 0.8067226890756303, "acc_stderr,none": 0.02564947026588919 }, "mmlu_high_school_psychology": { "alias": " - high_school_psychology", "acc,none": 0.8715596330275229, "acc_stderr,none": 0.014344977542914313 }, "mmlu_human_sexuality": { "alias": " - human_sexuality", "acc,none": 0.7557251908396947, "acc_stderr,none": 0.037683359597287434 }, "mmlu_professional_psychology": { "alias": " - professional_psychology", "acc,none": 0.7124183006535948, "acc_stderr,none": 0.018311653053648222 }, "mmlu_public_relations": { "alias": " - public_relations", "acc,none": 0.7181818181818181, "acc_stderr,none": 0.043091187099464585 }, "mmlu_security_studies": { "alias": " - security_studies", "acc,none": 0.7428571428571429, "acc_stderr,none": 0.027979823538744546 }, "mmlu_sociology": { "alias": " - sociology", "acc,none": 0.8407960199004975, "acc_stderr,none": 0.02587064676616914 }, "mmlu_us_foreign_policy": { "alias": " - us_foreign_policy", "acc,none": 0.81, "acc_stderr,none": 0.03942772444036625 }, "mmlu_stem": { "acc,none": 0.681255946717412, "acc_stderr,none": 0.007991359841827956, "alias": " - stem" }, "mmlu_abstract_algebra": { "alias": " - abstract_algebra", "acc,none": 0.45, "acc_stderr,none": 0.05 }, "mmlu_anatomy": { "alias": " - anatomy", "acc,none": 0.6148148148148148, "acc_stderr,none": 0.042039210401562783 }, "mmlu_astronomy": { "alias": " - astronomy", "acc,none": 0.7894736842105263, "acc_stderr,none": 0.033176727875331574 }, "mmlu_college_biology": { "alias": " - college_biology", "acc,none": 0.8333333333333334, "acc_stderr,none": 0.031164899666948614 }, "mmlu_college_chemistry": { "alias": " - college_chemistry", "acc,none": 0.54, "acc_stderr,none": 0.05009082659620333 }, "mmlu_college_computer_science": { "alias": " - college_computer_science", "acc,none": 0.69, "acc_stderr,none": 0.04648231987117316 }, "mmlu_college_mathematics": { "alias": " - college_mathematics", "acc,none": 0.58, "acc_stderr,none": 0.049604496374885836 }, "mmlu_college_physics": { "alias": " - college_physics", "acc,none": 0.5392156862745098, "acc_stderr,none": 0.04959859966384181 }, "mmlu_computer_security": { "alias": " - computer_security", "acc,none": 0.8, "acc_stderr,none": 0.04020151261036846 }, "mmlu_conceptual_physics": { "alias": " - conceptual_physics", "acc,none": 0.7702127659574468, "acc_stderr,none": 0.027501752944412417 }, "mmlu_electrical_engineering": { "alias": " - electrical_engineering", "acc,none": 0.7655172413793103, "acc_stderr,none": 0.035306258743465914 }, "mmlu_elementary_mathematics": { "alias": " - elementary_mathematics", "acc,none": 0.656084656084656, "acc_stderr,none": 0.024464426625596444 }, "mmlu_high_school_biology": { "alias": " - high_school_biology", "acc,none": 0.8612903225806452, "acc_stderr,none": 0.019662961321414027 }, "mmlu_high_school_chemistry": { "alias": " - high_school_chemistry", "acc,none": 0.7044334975369458, "acc_stderr,none": 0.032104944337514575 }, "mmlu_high_school_computer_science": { "alias": " - high_school_computer_science", "acc,none": 0.86, "acc_stderr,none": 0.034873508801977704 }, "mmlu_high_school_mathematics": { "alias": " - high_school_mathematics", "acc,none": 0.42592592592592593, "acc_stderr,none": 0.030149135601365947 }, "mmlu_high_school_physics": { "alias": " - high_school_physics", "acc,none": 0.6291390728476821, "acc_stderr,none": 0.03943966699183629 }, "mmlu_high_school_statistics": { "alias": " - high_school_statistics", "acc,none": 0.7129629629629629, "acc_stderr,none": 0.030851992993257013 }, "mmlu_machine_learning": { "alias": " - machine_learning", "acc,none": 0.5714285714285714, "acc_stderr,none": 0.04697113923010212 } }, "configs": { "mmlu_abstract_algebra": { "task": "mmlu_abstract_algebra", "task_alias": "abstract_algebra", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "abstract_algebra", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_anatomy": { "task": "mmlu_anatomy", "task_alias": "anatomy", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "anatomy", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about anatomy.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_astronomy": { "task": "mmlu_astronomy", "task_alias": "astronomy", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "astronomy", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about astronomy.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_business_ethics": { "task": "mmlu_business_ethics", "task_alias": "business_ethics", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "business_ethics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about business ethics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_clinical_knowledge": { "task": "mmlu_clinical_knowledge", "task_alias": "clinical_knowledge", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "clinical_knowledge", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_college_biology": { "task": "mmlu_college_biology", "task_alias": "college_biology", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "college_biology", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about college biology.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_college_chemistry": { "task": "mmlu_college_chemistry", "task_alias": "college_chemistry", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "college_chemistry", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about college chemistry.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_college_computer_science": { "task": "mmlu_college_computer_science", "task_alias": "college_computer_science", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "college_computer_science", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about college computer science.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_college_mathematics": { "task": "mmlu_college_mathematics", "task_alias": "college_mathematics", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "college_mathematics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about college mathematics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_college_medicine": { "task": "mmlu_college_medicine", "task_alias": "college_medicine", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "college_medicine", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about college medicine.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_college_physics": { "task": "mmlu_college_physics", "task_alias": "college_physics", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "college_physics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about college physics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_computer_security": { "task": "mmlu_computer_security", "task_alias": "computer_security", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "computer_security", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about computer security.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_conceptual_physics": { "task": "mmlu_conceptual_physics", "task_alias": "conceptual_physics", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "conceptual_physics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_econometrics": { "task": "mmlu_econometrics", "task_alias": "econometrics", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "econometrics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about econometrics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_electrical_engineering": { "task": "mmlu_electrical_engineering", "task_alias": "electrical_engineering", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "electrical_engineering", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_elementary_mathematics": { "task": "mmlu_elementary_mathematics", "task_alias": "elementary_mathematics", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "elementary_mathematics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_formal_logic": { "task": "mmlu_formal_logic", "task_alias": "formal_logic", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "formal_logic", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about formal logic.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_global_facts": { "task": "mmlu_global_facts", "task_alias": "global_facts", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "global_facts", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about global facts.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_biology": { "task": "mmlu_high_school_biology", "task_alias": "high_school_biology", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_biology", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school biology.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_chemistry": { "task": "mmlu_high_school_chemistry", "task_alias": "high_school_chemistry", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_chemistry", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_computer_science": { "task": "mmlu_high_school_computer_science", "task_alias": "high_school_computer_science", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_computer_science", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school computer science.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_european_history": { "task": "mmlu_high_school_european_history", "task_alias": "high_school_european_history", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_european_history", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school european history.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_geography": { "task": "mmlu_high_school_geography", "task_alias": "high_school_geography", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_geography", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school geography.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_government_and_politics": { "task": "mmlu_high_school_government_and_politics", "task_alias": "high_school_government_and_politics", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_government_and_politics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_macroeconomics": { "task": "mmlu_high_school_macroeconomics", "task_alias": "high_school_macroeconomics", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_macroeconomics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_mathematics": { "task": "mmlu_high_school_mathematics", "task_alias": "high_school_mathematics", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_mathematics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_microeconomics": { "task": "mmlu_high_school_microeconomics", "task_alias": "high_school_microeconomics", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_microeconomics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_physics": { "task": "mmlu_high_school_physics", "task_alias": "high_school_physics", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_physics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school physics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_psychology": { "task": "mmlu_high_school_psychology", "task_alias": "high_school_psychology", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_psychology", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school psychology.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_statistics": { "task": "mmlu_high_school_statistics", "task_alias": "high_school_statistics", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_statistics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school statistics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_us_history": { "task": "mmlu_high_school_us_history", "task_alias": "high_school_us_history", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_us_history", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school us history.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_high_school_world_history": { "task": "mmlu_high_school_world_history", "task_alias": "high_school_world_history", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "high_school_world_history", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about high school world history.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_human_aging": { "task": "mmlu_human_aging", "task_alias": "human_aging", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "human_aging", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about human aging.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_human_sexuality": { "task": "mmlu_human_sexuality", "task_alias": "human_sexuality", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "human_sexuality", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about human sexuality.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_international_law": { "task": "mmlu_international_law", "task_alias": "international_law", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "international_law", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about international law.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_jurisprudence": { "task": "mmlu_jurisprudence", "task_alias": "jurisprudence", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "jurisprudence", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_logical_fallacies": { "task": "mmlu_logical_fallacies", "task_alias": "logical_fallacies", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "logical_fallacies", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_machine_learning": { "task": "mmlu_machine_learning", "task_alias": "machine_learning", "tag": "mmlu_stem_tasks", "dataset_path": "cais/mmlu", "dataset_name": "machine_learning", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about machine learning.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_management": { "task": "mmlu_management", "task_alias": "management", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "management", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about management.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_marketing": { "task": "mmlu_marketing", "task_alias": "marketing", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "marketing", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about marketing.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_medical_genetics": { "task": "mmlu_medical_genetics", "task_alias": "medical_genetics", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "medical_genetics", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about medical genetics.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_miscellaneous": { "task": "mmlu_miscellaneous", "task_alias": "miscellaneous", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "miscellaneous", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_moral_disputes": { "task": "mmlu_moral_disputes", "task_alias": "moral_disputes", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "moral_disputes", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about moral disputes.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_moral_scenarios": { "task": "mmlu_moral_scenarios", "task_alias": "moral_scenarios", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "moral_scenarios", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_nutrition": { "task": "mmlu_nutrition", "task_alias": "nutrition", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "nutrition", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about nutrition.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_philosophy": { "task": "mmlu_philosophy", "task_alias": "philosophy", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "philosophy", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about philosophy.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_prehistory": { "task": "mmlu_prehistory", "task_alias": "prehistory", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "prehistory", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about prehistory.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_professional_accounting": { "task": "mmlu_professional_accounting", "task_alias": "professional_accounting", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "professional_accounting", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about professional accounting.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_professional_law": { "task": "mmlu_professional_law", "task_alias": "professional_law", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "professional_law", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about professional law.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_professional_medicine": { "task": "mmlu_professional_medicine", "task_alias": "professional_medicine", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "professional_medicine", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about professional medicine.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_professional_psychology": { "task": "mmlu_professional_psychology", "task_alias": "professional_psychology", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "professional_psychology", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about professional psychology.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_public_relations": { "task": "mmlu_public_relations", "task_alias": "public_relations", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "public_relations", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about public relations.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_security_studies": { "task": "mmlu_security_studies", "task_alias": "security_studies", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "security_studies", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about security studies.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_sociology": { "task": "mmlu_sociology", "task_alias": "sociology", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "sociology", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about sociology.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_us_foreign_policy": { "task": "mmlu_us_foreign_policy", "task_alias": "us_foreign_policy", "tag": "mmlu_social_sciences_tasks", "dataset_path": "cais/mmlu", "dataset_name": "us_foreign_policy", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_virology": { "task": "mmlu_virology", "task_alias": "virology", "tag": "mmlu_other_tasks", "dataset_path": "cais/mmlu", "dataset_name": "virology", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about virology.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } }, "mmlu_world_religions": { "task": "mmlu_world_religions", "task_alias": "world_religions", "tag": "mmlu_humanities_tasks", "dataset_path": "cais/mmlu", "dataset_name": "world_religions", "test_split": "test", "fewshot_split": "dev", "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_target": "answer", "unsafe_code": false, "doc_to_choice": [ "A", "B", "C", "D" ], "description": "The following are multiple choice questions (with answers) about world religions.\n\n", "target_delimiter": " ", "fewshot_delimiter": "\n\n", "fewshot_config": { "sampler": "first_n", "split": "dev", "process_docs": null, "fewshot_indices": null, "samples": null, "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", "doc_to_choice": [ "A", "B", "C", "D" ], "doc_to_target": "answer", "gen_prefix": null, "fewshot_delimiter": "\n\n", "target_delimiter": " " }, "num_fewshot": 0, "metric_list": [ { "metric": "acc", "aggregation": "mean", "higher_is_better": true } ], "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": false, "metadata": { "version": 1.0, "pretrained": "hadadxyz/Qwen3-4B-Diversity" } } }, "versions": { "mmlu": 2, "mmlu_abstract_algebra": 1.0, "mmlu_anatomy": 1.0, "mmlu_astronomy": 1.0, "mmlu_business_ethics": 1.0, "mmlu_clinical_knowledge": 1.0, "mmlu_college_biology": 1.0, "mmlu_college_chemistry": 1.0, "mmlu_college_computer_science": 1.0, "mmlu_college_mathematics": 1.0, "mmlu_college_medicine": 1.0, "mmlu_college_physics": 1.0, "mmlu_computer_security": 1.0, "mmlu_conceptual_physics": 1.0, "mmlu_econometrics": 1.0, "mmlu_electrical_engineering": 1.0, "mmlu_elementary_mathematics": 1.0, "mmlu_formal_logic": 1.0, "mmlu_global_facts": 1.0, "mmlu_high_school_biology": 1.0, "mmlu_high_school_chemistry": 1.0, "mmlu_high_school_computer_science": 1.0, "mmlu_high_school_european_history": 1.0, "mmlu_high_school_geography": 1.0, "mmlu_high_school_government_and_politics": 1.0, "mmlu_high_school_macroeconomics": 1.0, "mmlu_high_school_mathematics": 1.0, "mmlu_high_school_microeconomics": 1.0, "mmlu_high_school_physics": 1.0, "mmlu_high_school_psychology": 1.0, "mmlu_high_school_statistics": 1.0, "mmlu_high_school_us_history": 1.0, "mmlu_high_school_world_history": 1.0, "mmlu_human_aging": 1.0, "mmlu_human_sexuality": 1.0, "mmlu_humanities": 2, "mmlu_international_law": 1.0, "mmlu_jurisprudence": 1.0, "mmlu_logical_fallacies": 1.0, "mmlu_machine_learning": 1.0, "mmlu_management": 1.0, "mmlu_marketing": 1.0, "mmlu_medical_genetics": 1.0, "mmlu_miscellaneous": 1.0, "mmlu_moral_disputes": 1.0, "mmlu_moral_scenarios": 1.0, "mmlu_nutrition": 1.0, "mmlu_other": 2, "mmlu_philosophy": 1.0, "mmlu_prehistory": 1.0, "mmlu_professional_accounting": 1.0, "mmlu_professional_law": 1.0, "mmlu_professional_medicine": 1.0, "mmlu_professional_psychology": 1.0, "mmlu_public_relations": 1.0, "mmlu_security_studies": 1.0, "mmlu_social_sciences": 2, "mmlu_sociology": 1.0, "mmlu_stem": 2, "mmlu_us_foreign_policy": 1.0, "mmlu_virology": 1.0, "mmlu_world_religions": 1.0 }, "n-shot": { "mmlu_abstract_algebra": 0, "mmlu_anatomy": 0, "mmlu_astronomy": 0, "mmlu_business_ethics": 0, "mmlu_clinical_knowledge": 0, "mmlu_college_biology": 0, "mmlu_college_chemistry": 0, "mmlu_college_computer_science": 0, "mmlu_college_mathematics": 0, "mmlu_college_medicine": 0, "mmlu_college_physics": 0, "mmlu_computer_security": 0, "mmlu_conceptual_physics": 0, "mmlu_econometrics": 0, "mmlu_electrical_engineering": 0, "mmlu_elementary_mathematics": 0, "mmlu_formal_logic": 0, "mmlu_global_facts": 0, "mmlu_high_school_biology": 0, "mmlu_high_school_chemistry": 0, "mmlu_high_school_computer_science": 0, "mmlu_high_school_european_history": 0, "mmlu_high_school_geography": 0, "mmlu_high_school_government_and_politics": 0, "mmlu_high_school_macroeconomics": 0, "mmlu_high_school_mathematics": 0, "mmlu_high_school_microeconomics": 0, "mmlu_high_school_physics": 0, "mmlu_high_school_psychology": 0, "mmlu_high_school_statistics": 0, "mmlu_high_school_us_history": 0, "mmlu_high_school_world_history": 0, "mmlu_human_aging": 0, "mmlu_human_sexuality": 0, "mmlu_international_law": 0, "mmlu_jurisprudence": 0, "mmlu_logical_fallacies": 0, "mmlu_machine_learning": 0, "mmlu_management": 0, "mmlu_marketing": 0, "mmlu_medical_genetics": 0, "mmlu_miscellaneous": 0, "mmlu_moral_disputes": 0, "mmlu_moral_scenarios": 0, "mmlu_nutrition": 0, "mmlu_philosophy": 0, "mmlu_prehistory": 0, "mmlu_professional_accounting": 0, "mmlu_professional_law": 0, "mmlu_professional_medicine": 0, "mmlu_professional_psychology": 0, "mmlu_public_relations": 0, "mmlu_security_studies": 0, "mmlu_sociology": 0, "mmlu_us_foreign_policy": 0, "mmlu_virology": 0, "mmlu_world_religions": 0 }, "higher_is_better": { "mmlu": { "acc": true }, "mmlu_abstract_algebra": { "acc": true }, "mmlu_anatomy": { "acc": true }, "mmlu_astronomy": { "acc": true }, "mmlu_business_ethics": { "acc": true }, "mmlu_clinical_knowledge": { "acc": true }, "mmlu_college_biology": { "acc": true }, "mmlu_college_chemistry": { "acc": true }, "mmlu_college_computer_science": { "acc": true }, "mmlu_college_mathematics": { "acc": true }, "mmlu_college_medicine": { "acc": true }, "mmlu_college_physics": { "acc": true }, "mmlu_computer_security": { "acc": true }, "mmlu_conceptual_physics": { "acc": true }, "mmlu_econometrics": { "acc": true }, "mmlu_electrical_engineering": { "acc": true }, "mmlu_elementary_mathematics": { "acc": true }, "mmlu_formal_logic": { "acc": true }, "mmlu_global_facts": { "acc": true }, "mmlu_high_school_biology": { "acc": true }, "mmlu_high_school_chemistry": { "acc": true }, "mmlu_high_school_computer_science": { "acc": true }, "mmlu_high_school_european_history": { "acc": true }, "mmlu_high_school_geography": { "acc": true }, "mmlu_high_school_government_and_politics": { "acc": true }, "mmlu_high_school_macroeconomics": { "acc": true }, "mmlu_high_school_mathematics": { "acc": true }, "mmlu_high_school_microeconomics": { "acc": true }, "mmlu_high_school_physics": { "acc": true }, "mmlu_high_school_psychology": { "acc": true }, "mmlu_high_school_statistics": { "acc": true }, "mmlu_high_school_us_history": { "acc": true }, "mmlu_high_school_world_history": { "acc": true }, "mmlu_human_aging": { "acc": true }, "mmlu_human_sexuality": { "acc": true }, "mmlu_humanities": { "acc": true }, "mmlu_international_law": { "acc": true }, "mmlu_jurisprudence": { "acc": true }, "mmlu_logical_fallacies": { "acc": true }, "mmlu_machine_learning": { "acc": true }, "mmlu_management": { "acc": true }, "mmlu_marketing": { "acc": true }, "mmlu_medical_genetics": { "acc": true }, "mmlu_miscellaneous": { "acc": true }, "mmlu_moral_disputes": { "acc": true }, "mmlu_moral_scenarios": { "acc": true }, "mmlu_nutrition": { "acc": true }, "mmlu_other": { "acc": true }, "mmlu_philosophy": { "acc": true }, "mmlu_prehistory": { "acc": true }, "mmlu_professional_accounting": { "acc": true }, "mmlu_professional_law": { "acc": true }, "mmlu_professional_medicine": { "acc": true }, "mmlu_professional_psychology": { "acc": true }, "mmlu_public_relations": { "acc": true }, "mmlu_security_studies": { "acc": true }, "mmlu_social_sciences": { "acc": true }, "mmlu_sociology": { "acc": true }, "mmlu_stem": { "acc": true }, "mmlu_us_foreign_policy": { "acc": true }, "mmlu_virology": { "acc": true }, "mmlu_world_religions": { "acc": true } }, "group_subtasks": { "mmlu_humanities": [ "mmlu_formal_logic", "mmlu_high_school_european_history", "mmlu_high_school_us_history", "mmlu_high_school_world_history", "mmlu_international_law", "mmlu_jurisprudence", "mmlu_logical_fallacies", "mmlu_moral_disputes", "mmlu_moral_scenarios", "mmlu_philosophy", "mmlu_prehistory", "mmlu_professional_law", "mmlu_world_religions" ], "mmlu_social_sciences": [ "mmlu_econometrics", "mmlu_high_school_geography", "mmlu_high_school_government_and_politics", "mmlu_high_school_macroeconomics", "mmlu_high_school_microeconomics", "mmlu_high_school_psychology", "mmlu_human_sexuality", "mmlu_professional_psychology", "mmlu_public_relations", "mmlu_security_studies", "mmlu_sociology", "mmlu_us_foreign_policy" ], "mmlu_other": [ "mmlu_business_ethics", "mmlu_clinical_knowledge", "mmlu_college_medicine", "mmlu_global_facts", "mmlu_human_aging", "mmlu_management", "mmlu_marketing", "mmlu_medical_genetics", "mmlu_miscellaneous", "mmlu_nutrition", "mmlu_professional_accounting", "mmlu_professional_medicine", "mmlu_virology" ], "mmlu_stem": [ "mmlu_abstract_algebra", "mmlu_anatomy", "mmlu_astronomy", "mmlu_college_biology", "mmlu_college_chemistry", "mmlu_college_computer_science", "mmlu_college_mathematics", "mmlu_college_physics", "mmlu_computer_security", "mmlu_conceptual_physics", "mmlu_electrical_engineering", "mmlu_elementary_mathematics", "mmlu_high_school_biology", "mmlu_high_school_chemistry", "mmlu_high_school_computer_science", "mmlu_high_school_mathematics", "mmlu_high_school_physics", "mmlu_high_school_statistics", "mmlu_machine_learning" ], "mmlu": [ "mmlu_stem", "mmlu_other", "mmlu_social_sciences", "mmlu_humanities" ] }, "model": "hadadxyz/Qwen3-4B-Diversity" }