3283 lines
96 KiB
JSON
3283 lines
96 KiB
JSON
{
|
|
"results": {
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|
|
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|
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|
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|
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"mmlu_global_facts": {
|
|
"alias": " - global_facts",
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|
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|
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|
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|
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|
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|
"alias": " - nutrition",
|
|
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"alias": " - social sciences"
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},
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|
"mmlu_high_school_geography": {
|
|
"alias": " - high_school_geography",
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},
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"alias": " - high_school_government_and_politics",
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},
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|
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"alias": " - high_school_macroeconomics",
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|
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},
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},
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"alias": " - human_sexuality",
|
|
"acc,none": 0.7099236641221374,
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},
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"mmlu_professional_psychology": {
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},
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"mmlu_public_relations": {
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},
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},
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},
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},
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"acc_stderr,none": 0.008566388895472416,
|
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"alias": " - stem"
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|
},
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"mmlu_abstract_algebra": {
|
|
"alias": " - abstract_algebra",
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|
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"acc_stderr,none": 0.04093601807403326
|
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},
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|
"mmlu_anatomy": {
|
|
"alias": " - anatomy",
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"acc,none": 0.5481481481481482,
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"acc_stderr,none": 0.04299268905480864
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},
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"mmlu_astronomy": {
|
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"alias": " - astronomy",
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"acc,none": 0.506578947368421,
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"acc_stderr,none": 0.040685900502249704
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},
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"alias": " - college_biology",
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|
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},
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|
"mmlu_college_chemistry": {
|
|
"alias": " - college_chemistry",
|
|
"acc,none": 0.38,
|
|
"acc_stderr,none": 0.04878317312145634
|
|
},
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|
"mmlu_college_computer_science": {
|
|
"alias": " - college_computer_science",
|
|
"acc,none": 0.46,
|
|
"acc_stderr,none": 0.05009082659620333
|
|
},
|
|
"mmlu_college_mathematics": {
|
|
"alias": " - college_mathematics",
|
|
"acc,none": 0.31,
|
|
"acc_stderr,none": 0.04648231987117316
|
|
},
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|
"mmlu_college_physics": {
|
|
"alias": " - college_physics",
|
|
"acc,none": 0.28431372549019607,
|
|
"acc_stderr,none": 0.04488482852329017
|
|
},
|
|
"mmlu_computer_security": {
|
|
"alias": " - computer_security",
|
|
"acc,none": 0.63,
|
|
"acc_stderr,none": 0.048523658709391
|
|
},
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|
"mmlu_conceptual_physics": {
|
|
"alias": " - conceptual_physics",
|
|
"acc,none": 0.37872340425531914,
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|
"acc_stderr,none": 0.03170995606040655
|
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},
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|
"mmlu_electrical_engineering": {
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"alias": " - electrical_engineering",
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"acc,none": 0.47586206896551725,
|
|
"acc_stderr,none": 0.041618085035015295
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},
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"mmlu_elementary_mathematics": {
|
|
"alias": " - elementary_mathematics",
|
|
"acc,none": 0.328042328042328,
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|
"acc_stderr,none": 0.0241804971643769
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},
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|
"mmlu_high_school_biology": {
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"alias": " - high_school_biology",
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|
"acc,none": 0.6064516129032258,
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"acc_stderr,none": 0.02779187875313227
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},
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"mmlu_high_school_chemistry": {
|
|
"alias": " - high_school_chemistry",
|
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"acc,none": 0.43842364532019706,
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|
"acc_stderr,none": 0.03491207857486519
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},
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"mmlu_high_school_computer_science": {
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"alias": " - high_school_computer_science",
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"acc,none": 0.47,
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"acc_stderr,none": 0.050161355804659205
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},
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"mmlu_high_school_mathematics": {
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"alias": " - high_school_mathematics",
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"acc_stderr,none": 0.027420019350945284
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},
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"mmlu_high_school_physics": {
|
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"alias": " - high_school_physics",
|
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"acc_stderr,none": 0.03684881521389024
|
|
},
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"mmlu_high_school_statistics": {
|
|
"alias": " - high_school_statistics",
|
|
"acc,none": 0.39351851851851855,
|
|
"acc_stderr,none": 0.03331747876370312
|
|
},
|
|
"mmlu_machine_learning": {
|
|
"alias": " - machine_learning",
|
|
"acc,none": 0.39285714285714285,
|
|
"acc_stderr,none": 0.04635550135609976
|
|
}
|
|
},
|
|
"groups": {
|
|
"mmlu": {
|
|
"acc,none": 0.523572140720695,
|
|
"acc_stderr,none": 0.004009391802306073,
|
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"alias": "mmlu"
|
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},
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|
|
"acc_stderr,none": 0.00687945318054966,
|
|
"alias": " - humanities"
|
|
},
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|
"mmlu_other": {
|
|
"acc,none": 0.5980045059542968,
|
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"acc_stderr,none": 0.008531999317872074,
|
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"alias": " - other"
|
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},
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"mmlu_social_sciences": {
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"acc,none": 0.6035099122521937,
|
|
"acc_stderr,none": 0.008535610067873697,
|
|
"alias": " - social sciences"
|
|
},
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|
"mmlu_stem": {
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"acc,none": 0.41452584839835077,
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|
"acc_stderr,none": 0.008566388895472416,
|
|
"alias": " - stem"
|
|
}
|
|
},
|
|
"group_subtasks": {
|
|
"mmlu_humanities": [
|
|
"mmlu_jurisprudence",
|
|
"mmlu_professional_law",
|
|
"mmlu_philosophy",
|
|
"mmlu_prehistory",
|
|
"mmlu_formal_logic",
|
|
"mmlu_moral_scenarios",
|
|
"mmlu_logical_fallacies",
|
|
"mmlu_high_school_european_history",
|
|
"mmlu_international_law",
|
|
"mmlu_high_school_us_history",
|
|
"mmlu_world_religions",
|
|
"mmlu_moral_disputes",
|
|
"mmlu_high_school_world_history"
|
|
],
|
|
"mmlu_social_sciences": [
|
|
"mmlu_public_relations",
|
|
"mmlu_human_sexuality",
|
|
"mmlu_high_school_macroeconomics",
|
|
"mmlu_high_school_psychology",
|
|
"mmlu_econometrics",
|
|
"mmlu_sociology",
|
|
"mmlu_high_school_geography",
|
|
"mmlu_high_school_microeconomics",
|
|
"mmlu_high_school_government_and_politics",
|
|
"mmlu_us_foreign_policy",
|
|
"mmlu_professional_psychology",
|
|
"mmlu_security_studies"
|
|
],
|
|
"mmlu_other": [
|
|
"mmlu_medical_genetics",
|
|
"mmlu_virology",
|
|
"mmlu_marketing",
|
|
"mmlu_management",
|
|
"mmlu_miscellaneous",
|
|
"mmlu_professional_accounting",
|
|
"mmlu_business_ethics",
|
|
"mmlu_college_medicine",
|
|
"mmlu_human_aging",
|
|
"mmlu_clinical_knowledge",
|
|
"mmlu_global_facts",
|
|
"mmlu_nutrition",
|
|
"mmlu_professional_medicine"
|
|
],
|
|
"mmlu_stem": [
|
|
"mmlu_high_school_mathematics",
|
|
"mmlu_college_chemistry",
|
|
"mmlu_high_school_statistics",
|
|
"mmlu_college_physics",
|
|
"mmlu_computer_security",
|
|
"mmlu_electrical_engineering",
|
|
"mmlu_machine_learning",
|
|
"mmlu_astronomy",
|
|
"mmlu_high_school_physics",
|
|
"mmlu_high_school_computer_science",
|
|
"mmlu_anatomy",
|
|
"mmlu_high_school_chemistry",
|
|
"mmlu_college_biology",
|
|
"mmlu_conceptual_physics",
|
|
"mmlu_college_mathematics",
|
|
"mmlu_abstract_algebra",
|
|
"mmlu_college_computer_science",
|
|
"mmlu_elementary_mathematics",
|
|
"mmlu_high_school_biology"
|
|
],
|
|
"mmlu": [
|
|
"mmlu_stem",
|
|
"mmlu_other",
|
|
"mmlu_social_sciences",
|
|
"mmlu_humanities"
|
|
]
|
|
},
|
|
"configs": {
|
|
"mmlu_abstract_algebra": {
|
|
"task": "mmlu_abstract_algebra",
|
|
"task_alias": "abstract_algebra",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "abstract_algebra",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
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|
}
|
|
},
|
|
"mmlu_anatomy": {
|
|
"task": "mmlu_anatomy",
|
|
"task_alias": "anatomy",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "anatomy",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_astronomy": {
|
|
"task": "mmlu_astronomy",
|
|
"task_alias": "astronomy",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "astronomy",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_business_ethics": {
|
|
"task": "mmlu_business_ethics",
|
|
"task_alias": "business_ethics",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "business_ethics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_clinical_knowledge": {
|
|
"task": "mmlu_clinical_knowledge",
|
|
"task_alias": "clinical_knowledge",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "clinical_knowledge",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_college_biology": {
|
|
"task": "mmlu_college_biology",
|
|
"task_alias": "college_biology",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "college_biology",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_college_chemistry": {
|
|
"task": "mmlu_college_chemistry",
|
|
"task_alias": "college_chemistry",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "college_chemistry",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_college_computer_science": {
|
|
"task": "mmlu_college_computer_science",
|
|
"task_alias": "college_computer_science",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "college_computer_science",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_college_mathematics": {
|
|
"task": "mmlu_college_mathematics",
|
|
"task_alias": "college_mathematics",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "college_mathematics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_college_medicine": {
|
|
"task": "mmlu_college_medicine",
|
|
"task_alias": "college_medicine",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "college_medicine",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_college_physics": {
|
|
"task": "mmlu_college_physics",
|
|
"task_alias": "college_physics",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "college_physics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_computer_security": {
|
|
"task": "mmlu_computer_security",
|
|
"task_alias": "computer_security",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "computer_security",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_conceptual_physics": {
|
|
"task": "mmlu_conceptual_physics",
|
|
"task_alias": "conceptual_physics",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "conceptual_physics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_econometrics": {
|
|
"task": "mmlu_econometrics",
|
|
"task_alias": "econometrics",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "econometrics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_electrical_engineering": {
|
|
"task": "mmlu_electrical_engineering",
|
|
"task_alias": "electrical_engineering",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "electrical_engineering",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_elementary_mathematics": {
|
|
"task": "mmlu_elementary_mathematics",
|
|
"task_alias": "elementary_mathematics",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "elementary_mathematics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_formal_logic": {
|
|
"task": "mmlu_formal_logic",
|
|
"task_alias": "formal_logic",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "formal_logic",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_global_facts": {
|
|
"task": "mmlu_global_facts",
|
|
"task_alias": "global_facts",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "global_facts",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_biology": {
|
|
"task": "mmlu_high_school_biology",
|
|
"task_alias": "high_school_biology",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_biology",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_chemistry": {
|
|
"task": "mmlu_high_school_chemistry",
|
|
"task_alias": "high_school_chemistry",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_chemistry",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_computer_science": {
|
|
"task": "mmlu_high_school_computer_science",
|
|
"task_alias": "high_school_computer_science",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_computer_science",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_european_history": {
|
|
"task": "mmlu_high_school_european_history",
|
|
"task_alias": "high_school_european_history",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_european_history",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_geography": {
|
|
"task": "mmlu_high_school_geography",
|
|
"task_alias": "high_school_geography",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_geography",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"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": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_government_and_politics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_macroeconomics": {
|
|
"task": "mmlu_high_school_macroeconomics",
|
|
"task_alias": "high_school_macroeconomics",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_macroeconomics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_mathematics": {
|
|
"task": "mmlu_high_school_mathematics",
|
|
"task_alias": "high_school_mathematics",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_mathematics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_microeconomics": {
|
|
"task": "mmlu_high_school_microeconomics",
|
|
"task_alias": "high_school_microeconomics",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_microeconomics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_physics": {
|
|
"task": "mmlu_high_school_physics",
|
|
"task_alias": "high_school_physics",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_physics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_psychology": {
|
|
"task": "mmlu_high_school_psychology",
|
|
"task_alias": "high_school_psychology",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_psychology",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_statistics": {
|
|
"task": "mmlu_high_school_statistics",
|
|
"task_alias": "high_school_statistics",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_statistics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_us_history": {
|
|
"task": "mmlu_high_school_us_history",
|
|
"task_alias": "high_school_us_history",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_us_history",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_high_school_world_history": {
|
|
"task": "mmlu_high_school_world_history",
|
|
"task_alias": "high_school_world_history",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "high_school_world_history",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_human_aging": {
|
|
"task": "mmlu_human_aging",
|
|
"task_alias": "human_aging",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "human_aging",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_human_sexuality": {
|
|
"task": "mmlu_human_sexuality",
|
|
"task_alias": "human_sexuality",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "human_sexuality",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_international_law": {
|
|
"task": "mmlu_international_law",
|
|
"task_alias": "international_law",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "international_law",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_jurisprudence": {
|
|
"task": "mmlu_jurisprudence",
|
|
"task_alias": "jurisprudence",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "jurisprudence",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_logical_fallacies": {
|
|
"task": "mmlu_logical_fallacies",
|
|
"task_alias": "logical_fallacies",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "logical_fallacies",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_machine_learning": {
|
|
"task": "mmlu_machine_learning",
|
|
"task_alias": "machine_learning",
|
|
"tag": "mmlu_stem_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "machine_learning",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_management": {
|
|
"task": "mmlu_management",
|
|
"task_alias": "management",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "management",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_marketing": {
|
|
"task": "mmlu_marketing",
|
|
"task_alias": "marketing",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "marketing",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_medical_genetics": {
|
|
"task": "mmlu_medical_genetics",
|
|
"task_alias": "medical_genetics",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "medical_genetics",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_miscellaneous": {
|
|
"task": "mmlu_miscellaneous",
|
|
"task_alias": "miscellaneous",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "miscellaneous",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_moral_disputes": {
|
|
"task": "mmlu_moral_disputes",
|
|
"task_alias": "moral_disputes",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "moral_disputes",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_moral_scenarios": {
|
|
"task": "mmlu_moral_scenarios",
|
|
"task_alias": "moral_scenarios",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "moral_scenarios",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_nutrition": {
|
|
"task": "mmlu_nutrition",
|
|
"task_alias": "nutrition",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "nutrition",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_philosophy": {
|
|
"task": "mmlu_philosophy",
|
|
"task_alias": "philosophy",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "philosophy",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_prehistory": {
|
|
"task": "mmlu_prehistory",
|
|
"task_alias": "prehistory",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "prehistory",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_professional_accounting": {
|
|
"task": "mmlu_professional_accounting",
|
|
"task_alias": "professional_accounting",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "professional_accounting",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_professional_law": {
|
|
"task": "mmlu_professional_law",
|
|
"task_alias": "professional_law",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "professional_law",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_professional_medicine": {
|
|
"task": "mmlu_professional_medicine",
|
|
"task_alias": "professional_medicine",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "professional_medicine",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_professional_psychology": {
|
|
"task": "mmlu_professional_psychology",
|
|
"task_alias": "professional_psychology",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "professional_psychology",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_public_relations": {
|
|
"task": "mmlu_public_relations",
|
|
"task_alias": "public_relations",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "public_relations",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_security_studies": {
|
|
"task": "mmlu_security_studies",
|
|
"task_alias": "security_studies",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "security_studies",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_sociology": {
|
|
"task": "mmlu_sociology",
|
|
"task_alias": "sociology",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "sociology",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_us_foreign_policy": {
|
|
"task": "mmlu_us_foreign_policy",
|
|
"task_alias": "us_foreign_policy",
|
|
"tag": "mmlu_social_sciences_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "us_foreign_policy",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_virology": {
|
|
"task": "mmlu_virology",
|
|
"task_alias": "virology",
|
|
"tag": "mmlu_other_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "virology",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
},
|
|
"mmlu_world_religions": {
|
|
"task": "mmlu_world_religions",
|
|
"task_alias": "world_religions",
|
|
"tag": "mmlu_humanities_tasks",
|
|
"dataset_path": "hails/mmlu_no_train",
|
|
"dataset_name": "world_religions",
|
|
"dataset_kwargs": {
|
|
"trust_remote_code": true
|
|
},
|
|
"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": 0,
|
|
"metric_list": [
|
|
{
|
|
"metric": "acc",
|
|
"aggregation": "mean",
|
|
"higher_is_better": true
|
|
}
|
|
],
|
|
"output_type": "multiple_choice",
|
|
"repeats": 1,
|
|
"should_decontaminate": false,
|
|
"metadata": {
|
|
"version": 1.0
|
|
}
|
|
}
|
|
},
|
|
"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": {
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"config": {
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"model": "vllm",
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"model_args": "pretrained=inceptionai/jais-adapted-7b-chat,tensor_parallel_size=1,data_parallel_size=2,gpu_memory_utilization=0.4,download_dir=/tmp",
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"batch_size": 1,
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"batch_sizes": [],
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"device": null,
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},
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"git_hash": "8e1bd48d",
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"date": 1735752614.4566135,
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"pretty_env_info": "PyTorch version: 2.4.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.3 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: Could not collect\nCMake version: version 3.27.1\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-5.15.0-1064-azure-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.128\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: NVIDIA A100 80GB PCIe\nGPU 1: NVIDIA A100 80GB PCIe\n\nNvidia driver version: 535.161.08\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.4\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nAddress sizes: 48 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 48\nOn-line CPU(s) list: 0-47\nVendor ID: AuthenticAMD\nModel name: AMD EPYC 7V13 64-Core Processor\nCPU family: 25\nModel: 1\nThread(s) per core: 1\nCore(s) per socket: 48\nSocket(s): 1\nStepping: 1\nBogoMIPS: 4890.87\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext perfctr_core invpcid_single vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves clzero xsaveerptr rdpru arat umip vaes vpclmulqdq rdpid fsrm\nHypervisor vendor: Microsoft\nVirtualization type: full\nL1d cache: 1.5 MiB (48 instances)\nL1i cache: 1.5 MiB (48 instances)\nL2 cache: 24 MiB (48 instances)\nL3 cache: 192 MiB (6 instances)\nNUMA node(s): 2\nNUMA node0 CPU(s): 0-23\nNUMA node1 CPU(s): 24-47\nVulnerability Gather data sampling: Not affected\nVulnerability Itlb multihit: Not affected\nVulnerability L1tf: Not affected\nVulnerability Mds: Not affected\nVulnerability Meltdown: Not affected\nVulnerability Mmio stale data: Not affected\nVulnerability Retbleed: Not affected\nVulnerability Spec rstack overflow: Mitigation; safe RET, no microcode\nVulnerability Spec store bypass: Vulnerable\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Retpolines; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected\nVulnerability Srbds: Not affected\nVulnerability Tsx async abort: Not affected\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] onnx==1.14.0\n[pip3] pytorch-lightning==2.0.7\n[pip3] pytorch-quantization==2.1.2\n[pip3] torch==2.4.0\n[pip3] torch-tensorrt==2.0.0.dev0\n[pip3] torchaudio==2.1.0\n[pip3] torchdata==0.7.0a0\n[pip3] torchmetrics==1.2.0\n[pip3] torchvision==0.19.0\n[pip3] triton==3.0.0\n[conda] Could not collect",
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"transformers_version": "4.47.1",
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"upper_git_hash": "f64fe2f2a86055aaecced603b56097fd79201711",
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"<unk>",
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"tokenizer_eos_token": [
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],
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"tokenizer_bos_token": [
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],
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"max_length": 4096,
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"task_hashes": {},
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"model_source": "vllm",
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"model_name": "inceptionai/jais-adapted-7b-chat",
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"model_name_sanitized": "inceptionai__jais-adapted-7b-chat",
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"system_instruction": null,
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"fewshot_as_multiturn": false,
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"chat_template": null,
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"chat_template_sha": null,
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"start_time": 6673.970362862,
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"end_time": 7212.568321035,
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"total_evaluation_time_seconds": "538.5979581729998"
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} |