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Tess-v2.5-Qwen2-72B / Evals /Tess-v2.5-Qwen2-72B-mmlu.json
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{
"results": {
"mmlu": {
"acc,none": 0.8439680957128615,
"acc_stderr,none": 0.0029499711040394372,
"alias": "mmlu"
},
"mmlu_humanities": {
"alias": " - humanities",
"acc,none": 0.8146652497343252,
"acc_stderr,none": 0.005505402478774841
},
"mmlu_formal_logic": {
"alias": " - formal_logic",
"acc,none": 0.7301587301587301,
"acc_stderr,none": 0.03970158273235173
},
"mmlu_high_school_european_history": {
"alias": " - high_school_european_history",
"acc,none": 0.8909090909090909,
"acc_stderr,none": 0.02434383813514564
},
"mmlu_high_school_us_history": {
"alias": " - high_school_us_history",
"acc,none": 0.9509803921568627,
"acc_stderr,none": 0.01515383934021267
},
"mmlu_high_school_world_history": {
"alias": " - high_school_world_history",
"acc,none": 0.9409282700421941,
"acc_stderr,none": 0.01534659746388869
},
"mmlu_international_law": {
"alias": " - international_law",
"acc,none": 0.9173553719008265,
"acc_stderr,none": 0.025135382356604227
},
"mmlu_jurisprudence": {
"alias": " - jurisprudence",
"acc,none": 0.8796296296296297,
"acc_stderr,none": 0.031457038543062525
},
"mmlu_logical_fallacies": {
"alias": " - logical_fallacies",
"acc,none": 0.901840490797546,
"acc_stderr,none": 0.023376180231059605
},
"mmlu_moral_disputes": {
"alias": " - moral_disputes",
"acc,none": 0.869942196531792,
"acc_stderr,none": 0.01810939152822133
},
"mmlu_moral_scenarios": {
"alias": " - moral_scenarios",
"acc,none": 0.829050279329609,
"acc_stderr,none": 0.012590873868789222
},
"mmlu_philosophy": {
"alias": " - philosophy",
"acc,none": 0.8713826366559485,
"acc_stderr,none": 0.01901399630412152
},
"mmlu_prehistory": {
"alias": " - prehistory",
"acc,none": 0.9104938271604939,
"acc_stderr,none": 0.015884141073937555
},
"mmlu_professional_law": {
"alias": " - professional_law",
"acc,none": 0.6929595827900913,
"acc_stderr,none": 0.011780959114513764
},
"mmlu_world_religions": {
"alias": " - world_religions",
"acc,none": 0.8888888888888888,
"acc_stderr,none": 0.024103384202072864
},
"mmlu_other": {
"alias": " - other",
"acc,none": 0.8625683939491471,
"acc_stderr,none": 0.005895325056685939
},
"mmlu_business_ethics": {
"alias": " - business_ethics",
"acc,none": 0.78,
"acc_stderr,none": 0.04163331998932263
},
"mmlu_clinical_knowledge": {
"alias": " - clinical_knowledge",
"acc,none": 0.8716981132075472,
"acc_stderr,none": 0.02058247568799185
},
"mmlu_college_medicine": {
"alias": " - college_medicine",
"acc,none": 0.8323699421965318,
"acc_stderr,none": 0.028481963032143395
},
"mmlu_global_facts": {
"alias": " - global_facts",
"acc,none": 0.61,
"acc_stderr,none": 0.04902071300001975
},
"mmlu_human_aging": {
"alias": " - human_aging",
"acc,none": 0.8565022421524664,
"acc_stderr,none": 0.0235293712696182
},
"mmlu_management": {
"alias": " - management",
"acc,none": 0.9223300970873787,
"acc_stderr,none": 0.026501440784762766
},
"mmlu_marketing": {
"alias": " - marketing",
"acc,none": 0.9487179487179487,
"acc_stderr,none": 0.014450181176872726
},
"mmlu_medical_genetics": {
"alias": " - medical_genetics",
"acc,none": 0.9,
"acc_stderr,none": 0.030151134457776348
},
"mmlu_miscellaneous": {
"alias": " - miscellaneous",
"acc,none": 0.9501915708812261,
"acc_stderr,none": 0.0077795348866793465
},
"mmlu_nutrition": {
"alias": " - nutrition",
"acc,none": 0.9019607843137255,
"acc_stderr,none": 0.017027222935582193
},
"mmlu_professional_accounting": {
"alias": " - professional_accounting",
"acc,none": 0.75177304964539,
"acc_stderr,none": 0.025770015644290392
},
"mmlu_professional_medicine": {
"alias": " - professional_medicine",
"acc,none": 0.8897058823529411,
"acc_stderr,none": 0.019028947191474497
},
"mmlu_virology": {
"alias": " - virology",
"acc,none": 0.5662650602409639,
"acc_stderr,none": 0.03858158940685517
},
"mmlu_social_sciences": {
"alias": " - social_sciences",
"acc,none": 0.9038024049398765,
"acc_stderr,none": 0.005221504585802578
},
"mmlu_econometrics": {
"alias": " - econometrics",
"acc,none": 0.7280701754385965,
"acc_stderr,none": 0.041857744240220554
},
"mmlu_high_school_geography": {
"alias": " - high_school_geography",
"acc,none": 0.9393939393939394,
"acc_stderr,none": 0.016999994927421606
},
"mmlu_high_school_government_and_politics": {
"alias": " - high_school_government_and_politics",
"acc,none": 0.9896373056994818,
"acc_stderr,none": 0.007308424386792201
},
"mmlu_high_school_macroeconomics": {
"alias": " - high_school_macroeconomics",
"acc,none": 0.8897435897435897,
"acc_stderr,none": 0.015880331261056115
},
"mmlu_high_school_microeconomics": {
"alias": " - high_school_microeconomics",
"acc,none": 0.9411764705882353,
"acc_stderr,none": 0.015283995352038402
},
"mmlu_high_school_psychology": {
"alias": " - high_school_psychology",
"acc,none": 0.9357798165137615,
"acc_stderr,none": 0.010510494713201424
},
"mmlu_human_sexuality": {
"alias": " - human_sexuality",
"acc,none": 0.9083969465648855,
"acc_stderr,none": 0.025300035578642965
},
"mmlu_professional_psychology": {
"alias": " - professional_psychology",
"acc,none": 0.8970588235294118,
"acc_stderr,none": 0.012293751200845176
},
"mmlu_public_relations": {
"alias": " - public_relations",
"acc,none": 0.7454545454545455,
"acc_stderr,none": 0.041723430387053825
},
"mmlu_security_studies": {
"alias": " - security_studies",
"acc,none": 0.8408163265306122,
"acc_stderr,none": 0.023420972069166365
},
"mmlu_sociology": {
"alias": " - sociology",
"acc,none": 0.945273631840796,
"acc_stderr,none": 0.016082815796263254
},
"mmlu_us_foreign_policy": {
"alias": " - us_foreign_policy",
"acc,none": 0.94,
"acc_stderr,none": 0.02386832565759419
},
"mmlu_stem": {
"alias": " - stem",
"acc,none": 0.8109736758642563,
"acc_stderr,none": 0.0067376135296805745
},
"mmlu_abstract_algebra": {
"alias": " - abstract_algebra",
"acc,none": 0.66,
"acc_stderr,none": 0.04760952285695237
},
"mmlu_anatomy": {
"alias": " - anatomy",
"acc,none": 0.7925925925925926,
"acc_stderr,none": 0.03502553170678317
},
"mmlu_astronomy": {
"alias": " - astronomy",
"acc,none": 0.9276315789473685,
"acc_stderr,none": 0.021085011261884112
},
"mmlu_college_biology": {
"alias": " - college_biology",
"acc,none": 0.9444444444444444,
"acc_stderr,none": 0.01915507853243362
},
"mmlu_college_chemistry": {
"alias": " - college_chemistry",
"acc,none": 0.58,
"acc_stderr,none": 0.049604496374885836
},
"mmlu_college_computer_science": {
"alias": " - college_computer_science",
"acc,none": 0.8,
"acc_stderr,none": 0.040201512610368445
},
"mmlu_college_mathematics": {
"alias": " - college_mathematics",
"acc,none": 0.63,
"acc_stderr,none": 0.04852365870939099
},
"mmlu_college_physics": {
"alias": " - college_physics",
"acc,none": 0.6470588235294118,
"acc_stderr,none": 0.04755129616062947
},
"mmlu_computer_security": {
"alias": " - computer_security",
"acc,none": 0.83,
"acc_stderr,none": 0.0377525168068637
},
"mmlu_conceptual_physics": {
"alias": " - conceptual_physics",
"acc,none": 0.8893617021276595,
"acc_stderr,none": 0.020506145099008433
},
"mmlu_electrical_engineering": {
"alias": " - electrical_engineering",
"acc,none": 0.8275862068965517,
"acc_stderr,none": 0.03147830790259575
},
"mmlu_elementary_mathematics": {
"alias": " - elementary_mathematics",
"acc,none": 0.8888888888888888,
"acc_stderr,none": 0.01618571201620511
},
"mmlu_high_school_biology": {
"alias": " - high_school_biology",
"acc,none": 0.9419354838709677,
"acc_stderr,none": 0.01330413811280927
},
"mmlu_high_school_chemistry": {
"alias": " - high_school_chemistry",
"acc,none": 0.7980295566502463,
"acc_stderr,none": 0.028247350122180243
},
"mmlu_high_school_computer_science": {
"alias": " - high_school_computer_science",
"acc,none": 0.91,
"acc_stderr,none": 0.028762349126466115
},
"mmlu_high_school_mathematics": {
"alias": " - high_school_mathematics",
"acc,none": 0.6777777777777778,
"acc_stderr,none": 0.028493465091028597
},
"mmlu_high_school_physics": {
"alias": " - high_school_physics",
"acc,none": 0.7284768211920529,
"acc_stderr,none": 0.03631329803969654
},
"mmlu_high_school_statistics": {
"alias": " - high_school_statistics",
"acc,none": 0.7824074074074074,
"acc_stderr,none": 0.028139689444859676
},
"mmlu_machine_learning": {
"alias": " - machine_learning",
"acc,none": 0.7589285714285714,
"acc_stderr,none": 0.04059867246952685
}
},
"groups": {
"mmlu": {
"acc,none": 0.8439680957128615,
"acc_stderr,none": 0.0029499711040394372,
"alias": "mmlu"
},
"mmlu_humanities": {
"alias": " - humanities",
"acc,none": 0.8146652497343252,
"acc_stderr,none": 0.005505402478774841
},
"mmlu_other": {
"alias": " - other",
"acc,none": 0.8625683939491471,
"acc_stderr,none": 0.005895325056685939
},
"mmlu_social_sciences": {
"alias": " - social_sciences",
"acc,none": 0.9038024049398765,
"acc_stderr,none": 0.005221504585802578
},
"mmlu_stem": {
"alias": " - stem",
"acc,none": 0.8109736758642563,
"acc_stderr,none": 0.0067376135296805745
}
},
"group_subtasks": {
"mmlu_stem": [
"mmlu_college_biology",
"mmlu_high_school_computer_science",
"mmlu_elementary_mathematics",
"mmlu_astronomy",
"mmlu_machine_learning",
"mmlu_high_school_mathematics",
"mmlu_electrical_engineering",
"mmlu_college_chemistry",
"mmlu_college_mathematics",
"mmlu_high_school_statistics",
"mmlu_high_school_biology",
"mmlu_abstract_algebra",
"mmlu_college_physics",
"mmlu_conceptual_physics",
"mmlu_computer_security",
"mmlu_anatomy",
"mmlu_college_computer_science",
"mmlu_high_school_physics",
"mmlu_high_school_chemistry"
],
"mmlu_other": [
"mmlu_marketing",
"mmlu_professional_accounting",
"mmlu_clinical_knowledge",
"mmlu_college_medicine",
"mmlu_miscellaneous",
"mmlu_virology",
"mmlu_business_ethics",
"mmlu_professional_medicine",
"mmlu_global_facts",
"mmlu_nutrition",
"mmlu_human_aging",
"mmlu_management",
"mmlu_medical_genetics"
],
"mmlu_social_sciences": [
"mmlu_high_school_psychology",
"mmlu_high_school_geography",
"mmlu_high_school_macroeconomics",
"mmlu_public_relations",
"mmlu_security_studies",
"mmlu_high_school_microeconomics",
"mmlu_human_sexuality",
"mmlu_sociology",
"mmlu_professional_psychology",
"mmlu_econometrics",
"mmlu_us_foreign_policy",
"mmlu_high_school_government_and_politics"
],
"mmlu_humanities": [
"mmlu_moral_scenarios",
"mmlu_high_school_us_history",
"mmlu_high_school_world_history",
"mmlu_world_religions",
"mmlu_formal_logic",
"mmlu_moral_disputes",
"mmlu_prehistory",
"mmlu_international_law",
"mmlu_logical_fallacies",
"mmlu_professional_law",
"mmlu_philosophy",
"mmlu_high_school_european_history",
"mmlu_jurisprudence"
],
"mmlu": [
"mmlu_humanities",
"mmlu_social_sciences",
"mmlu_other",
"mmlu_stem"
]
},
"configs": {
"mmlu_abstract_algebra": {
"task": "mmlu_abstract_algebra",
"task_alias": "abstract_algebra",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_anatomy": {
"task": "mmlu_anatomy",
"task_alias": "anatomy",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_astronomy": {
"task": "mmlu_astronomy",
"task_alias": "astronomy",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_business_ethics": {
"task": "mmlu_business_ethics",
"task_alias": "business_ethics",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_clinical_knowledge": {
"task": "mmlu_clinical_knowledge",
"task_alias": "clinical_knowledge",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_college_biology": {
"task": "mmlu_college_biology",
"task_alias": "college_biology",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_college_chemistry": {
"task": "mmlu_college_chemistry",
"task_alias": "college_chemistry",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_college_computer_science": {
"task": "mmlu_college_computer_science",
"task_alias": "college_computer_science",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_college_mathematics": {
"task": "mmlu_college_mathematics",
"task_alias": "college_mathematics",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_college_medicine": {
"task": "mmlu_college_medicine",
"task_alias": "college_medicine",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_college_physics": {
"task": "mmlu_college_physics",
"task_alias": "college_physics",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_computer_security": {
"task": "mmlu_computer_security",
"task_alias": "computer_security",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_conceptual_physics": {
"task": "mmlu_conceptual_physics",
"task_alias": "conceptual_physics",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_econometrics": {
"task": "mmlu_econometrics",
"task_alias": "econometrics",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_electrical_engineering": {
"task": "mmlu_electrical_engineering",
"task_alias": "electrical_engineering",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_elementary_mathematics": {
"task": "mmlu_elementary_mathematics",
"task_alias": "elementary_mathematics",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_formal_logic": {
"task": "mmlu_formal_logic",
"task_alias": "formal_logic",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_global_facts": {
"task": "mmlu_global_facts",
"task_alias": "global_facts",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_biology": {
"task": "mmlu_high_school_biology",
"task_alias": "high_school_biology",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_chemistry": {
"task": "mmlu_high_school_chemistry",
"task_alias": "high_school_chemistry",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_computer_science": {
"task": "mmlu_high_school_computer_science",
"task_alias": "high_school_computer_science",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_european_history": {
"task": "mmlu_high_school_european_history",
"task_alias": "high_school_european_history",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_geography": {
"task": "mmlu_high_school_geography",
"task_alias": "high_school_geography",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_government_and_politics": {
"task": "mmlu_high_school_government_and_politics",
"task_alias": "high_school_government_and_politics",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_macroeconomics": {
"task": "mmlu_high_school_macroeconomics",
"task_alias": "high_school_macroeconomics",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_mathematics": {
"task": "mmlu_high_school_mathematics",
"task_alias": "high_school_mathematics",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_microeconomics": {
"task": "mmlu_high_school_microeconomics",
"task_alias": "high_school_microeconomics",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_physics": {
"task": "mmlu_high_school_physics",
"task_alias": "high_school_physics",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_psychology": {
"task": "mmlu_high_school_psychology",
"task_alias": "high_school_psychology",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_statistics": {
"task": "mmlu_high_school_statistics",
"task_alias": "high_school_statistics",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_us_history": {
"task": "mmlu_high_school_us_history",
"task_alias": "high_school_us_history",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_high_school_world_history": {
"task": "mmlu_high_school_world_history",
"task_alias": "high_school_world_history",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_human_aging": {
"task": "mmlu_human_aging",
"task_alias": "human_aging",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_human_sexuality": {
"task": "mmlu_human_sexuality",
"task_alias": "human_sexuality",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_international_law": {
"task": "mmlu_international_law",
"task_alias": "international_law",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_jurisprudence": {
"task": "mmlu_jurisprudence",
"task_alias": "jurisprudence",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_logical_fallacies": {
"task": "mmlu_logical_fallacies",
"task_alias": "logical_fallacies",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_machine_learning": {
"task": "mmlu_machine_learning",
"task_alias": "machine_learning",
"group": "mmlu_stem",
"group_alias": "stem",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_management": {
"task": "mmlu_management",
"task_alias": "management",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_marketing": {
"task": "mmlu_marketing",
"task_alias": "marketing",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_medical_genetics": {
"task": "mmlu_medical_genetics",
"task_alias": "medical_genetics",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_miscellaneous": {
"task": "mmlu_miscellaneous",
"task_alias": "miscellaneous",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_moral_disputes": {
"task": "mmlu_moral_disputes",
"task_alias": "moral_disputes",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_moral_scenarios": {
"task": "mmlu_moral_scenarios",
"task_alias": "moral_scenarios",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_nutrition": {
"task": "mmlu_nutrition",
"task_alias": "nutrition",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_philosophy": {
"task": "mmlu_philosophy",
"task_alias": "philosophy",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_prehistory": {
"task": "mmlu_prehistory",
"task_alias": "prehistory",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_professional_accounting": {
"task": "mmlu_professional_accounting",
"task_alias": "professional_accounting",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_professional_law": {
"task": "mmlu_professional_law",
"task_alias": "professional_law",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_professional_medicine": {
"task": "mmlu_professional_medicine",
"task_alias": "professional_medicine",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_professional_psychology": {
"task": "mmlu_professional_psychology",
"task_alias": "professional_psychology",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_public_relations": {
"task": "mmlu_public_relations",
"task_alias": "public_relations",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_security_studies": {
"task": "mmlu_security_studies",
"task_alias": "security_studies",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_sociology": {
"task": "mmlu_sociology",
"task_alias": "sociology",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_us_foreign_policy": {
"task": "mmlu_us_foreign_policy",
"task_alias": "us_foreign_policy",
"group": "mmlu_social_sciences",
"group_alias": "social_sciences",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_virology": {
"task": "mmlu_virology",
"task_alias": "virology",
"group": "mmlu_other",
"group_alias": "other",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
},
"mmlu_world_religions": {
"task": "mmlu_world_religions",
"task_alias": "world_religions",
"group": "mmlu_humanities",
"group_alias": "humanities",
"dataset_path": "hails/mmlu_no_train",
"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",
"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"
},
"num_fewshot": 5,
"metric_list": [
{
"metric": "acc",
"aggregation": "mean",
"higher_is_better": true
}
],
"output_type": "multiple_choice",
"repeats": 1,
"should_decontaminate": false,
"metadata": {
"version": 0.0
}
}
},
"versions": {
"mmlu_abstract_algebra": 0.0,
"mmlu_anatomy": 0.0,
"mmlu_astronomy": 0.0,
"mmlu_business_ethics": 0.0,
"mmlu_clinical_knowledge": 0.0,
"mmlu_college_biology": 0.0,
"mmlu_college_chemistry": 0.0,
"mmlu_college_computer_science": 0.0,
"mmlu_college_mathematics": 0.0,
"mmlu_college_medicine": 0.0,
"mmlu_college_physics": 0.0,
"mmlu_computer_security": 0.0,
"mmlu_conceptual_physics": 0.0,
"mmlu_econometrics": 0.0,
"mmlu_electrical_engineering": 0.0,
"mmlu_elementary_mathematics": 0.0,
"mmlu_formal_logic": 0.0,
"mmlu_global_facts": 0.0,
"mmlu_high_school_biology": 0.0,
"mmlu_high_school_chemistry": 0.0,
"mmlu_high_school_computer_science": 0.0,
"mmlu_high_school_european_history": 0.0,
"mmlu_high_school_geography": 0.0,
"mmlu_high_school_government_and_politics": 0.0,
"mmlu_high_school_macroeconomics": 0.0,
"mmlu_high_school_mathematics": 0.0,
"mmlu_high_school_microeconomics": 0.0,
"mmlu_high_school_physics": 0.0,
"mmlu_high_school_psychology": 0.0,
"mmlu_high_school_statistics": 0.0,
"mmlu_high_school_us_history": 0.0,
"mmlu_high_school_world_history": 0.0,
"mmlu_human_aging": 0.0,
"mmlu_human_sexuality": 0.0,
"mmlu_international_law": 0.0,
"mmlu_jurisprudence": 0.0,
"mmlu_logical_fallacies": 0.0,
"mmlu_machine_learning": 0.0,
"mmlu_management": 0.0,
"mmlu_marketing": 0.0,
"mmlu_medical_genetics": 0.0,
"mmlu_miscellaneous": 0.0,
"mmlu_moral_disputes": 0.0,
"mmlu_moral_scenarios": 0.0,
"mmlu_nutrition": 0.0,
"mmlu_philosophy": 0.0,
"mmlu_prehistory": 0.0,
"mmlu_professional_accounting": 0.0,
"mmlu_professional_law": 0.0,
"mmlu_professional_medicine": 0.0,
"mmlu_professional_psychology": 0.0,
"mmlu_public_relations": 0.0,
"mmlu_security_studies": 0.0,
"mmlu_sociology": 0.0,
"mmlu_us_foreign_policy": 0.0,
"mmlu_virology": 0.0,
"mmlu_world_religions": 0.0
},
"n-shot": {
"mmlu": 0,
"mmlu_abstract_algebra": 5,
"mmlu_anatomy": 5,
"mmlu_astronomy": 5,
"mmlu_business_ethics": 5,
"mmlu_clinical_knowledge": 5,
"mmlu_college_biology": 5,
"mmlu_college_chemistry": 5,
"mmlu_college_computer_science": 5,
"mmlu_college_mathematics": 5,
"mmlu_college_medicine": 5,
"mmlu_college_physics": 5,
"mmlu_computer_security": 5,
"mmlu_conceptual_physics": 5,
"mmlu_econometrics": 5,
"mmlu_electrical_engineering": 5,
"mmlu_elementary_mathematics": 5,
"mmlu_formal_logic": 5,
"mmlu_global_facts": 5,
"mmlu_high_school_biology": 5,
"mmlu_high_school_chemistry": 5,
"mmlu_high_school_computer_science": 5,
"mmlu_high_school_european_history": 5,
"mmlu_high_school_geography": 5,
"mmlu_high_school_government_and_politics": 5,
"mmlu_high_school_macroeconomics": 5,
"mmlu_high_school_mathematics": 5,
"mmlu_high_school_microeconomics": 5,
"mmlu_high_school_physics": 5,
"mmlu_high_school_psychology": 5,
"mmlu_high_school_statistics": 5,
"mmlu_high_school_us_history": 5,
"mmlu_high_school_world_history": 5,
"mmlu_human_aging": 5,
"mmlu_human_sexuality": 5,
"mmlu_humanities": 5,
"mmlu_international_law": 5,
"mmlu_jurisprudence": 5,
"mmlu_logical_fallacies": 5,
"mmlu_machine_learning": 5,
"mmlu_management": 5,
"mmlu_marketing": 5,
"mmlu_medical_genetics": 5,
"mmlu_miscellaneous": 5,
"mmlu_moral_disputes": 5,
"mmlu_moral_scenarios": 5,
"mmlu_nutrition": 5,
"mmlu_other": 5,
"mmlu_philosophy": 5,
"mmlu_prehistory": 5,
"mmlu_professional_accounting": 5,
"mmlu_professional_law": 5,
"mmlu_professional_medicine": 5,
"mmlu_professional_psychology": 5,
"mmlu_public_relations": 5,
"mmlu_security_studies": 5,
"mmlu_social_sciences": 5,
"mmlu_sociology": 5,
"mmlu_stem": 5,
"mmlu_us_foreign_policy": 5,
"mmlu_virology": 5,
"mmlu_world_religions": 5
},
"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
}
},
"n-samples": {
"mmlu_moral_scenarios": {
"original": 895,
"effective": 895
},
"mmlu_high_school_us_history": {
"original": 204,
"effective": 204
},
"mmlu_high_school_world_history": {
"original": 237,
"effective": 237
},
"mmlu_world_religions": {
"original": 171,
"effective": 171
},
"mmlu_formal_logic": {
"original": 126,
"effective": 126
},
"mmlu_moral_disputes": {
"original": 346,
"effective": 346
},
"mmlu_prehistory": {
"original": 324,
"effective": 324
},
"mmlu_international_law": {
"original": 121,
"effective": 121
},
"mmlu_logical_fallacies": {
"original": 163,
"effective": 163
},
"mmlu_professional_law": {
"original": 1534,
"effective": 1534
},
"mmlu_philosophy": {
"original": 311,
"effective": 311
},
"mmlu_high_school_european_history": {
"original": 165,
"effective": 165
},
"mmlu_jurisprudence": {
"original": 108,
"effective": 108
},
"mmlu_high_school_psychology": {
"original": 545,
"effective": 545
},
"mmlu_high_school_geography": {
"original": 198,
"effective": 198
},
"mmlu_high_school_macroeconomics": {
"original": 390,
"effective": 390
},
"mmlu_public_relations": {
"original": 110,
"effective": 110
},
"mmlu_security_studies": {
"original": 245,
"effective": 245
},
"mmlu_high_school_microeconomics": {
"original": 238,
"effective": 238
},
"mmlu_human_sexuality": {
"original": 131,
"effective": 131
},
"mmlu_sociology": {
"original": 201,
"effective": 201
},
"mmlu_professional_psychology": {
"original": 612,
"effective": 612
},
"mmlu_econometrics": {
"original": 114,
"effective": 114
},
"mmlu_us_foreign_policy": {
"original": 100,
"effective": 100
},
"mmlu_high_school_government_and_politics": {
"original": 193,
"effective": 193
},
"mmlu_marketing": {
"original": 234,
"effective": 234
},
"mmlu_professional_accounting": {
"original": 282,
"effective": 282
},
"mmlu_clinical_knowledge": {
"original": 265,
"effective": 265
},
"mmlu_college_medicine": {
"original": 173,
"effective": 173
},
"mmlu_miscellaneous": {
"original": 783,
"effective": 783
},
"mmlu_virology": {
"original": 166,
"effective": 166
},
"mmlu_business_ethics": {
"original": 100,
"effective": 100
},
"mmlu_professional_medicine": {
"original": 272,
"effective": 272
},
"mmlu_global_facts": {
"original": 100,
"effective": 100
},
"mmlu_nutrition": {
"original": 306,
"effective": 306
},
"mmlu_human_aging": {
"original": 223,
"effective": 223
},
"mmlu_management": {
"original": 103,
"effective": 103
},
"mmlu_medical_genetics": {
"original": 100,
"effective": 100
},
"mmlu_college_biology": {
"original": 144,
"effective": 144
},
"mmlu_high_school_computer_science": {
"original": 100,
"effective": 100
},
"mmlu_elementary_mathematics": {
"original": 378,
"effective": 378
},
"mmlu_astronomy": {
"original": 152,
"effective": 152
},
"mmlu_machine_learning": {
"original": 112,
"effective": 112
},
"mmlu_high_school_mathematics": {
"original": 270,
"effective": 270
},
"mmlu_electrical_engineering": {
"original": 145,
"effective": 145
},
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