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open-llm-leaderboard-old/details_deepseek-ai__deepseek-coder-6.7b-instruct

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Hugging Face2024-01-05 更新2024-06-22 收录
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--- pretty_name: Evaluation run of deepseek-ai/deepseek-coder-6.7b-instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-instruct\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-05T09:40:26.509293](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-instruct/blob/main/results_2024-01-05T09-40-26.509293.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.3910854432124772,\n\ \ \"acc_stderr\": 0.03451531253731588,\n \"acc_norm\": 0.3927686146925743,\n\ \ \"acc_norm_stderr\": 0.03524628661020728,\n \"mc1\": 0.2802937576499388,\n\ \ \"mc1_stderr\": 0.015723139524608753,\n \"mc2\": 0.455556353489654,\n\ \ \"mc2_stderr\": 0.015280106274741655\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.35921501706484643,\n \"acc_stderr\": 0.014020224155839159,\n\ \ \"acc_norm\": 0.38139931740614336,\n \"acc_norm_stderr\": 0.014194389086685263\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.420035849432384,\n\ \ \"acc_stderr\": 0.0049255561046794094,\n \"acc_norm\": 0.5508862776339375,\n\ \ \"acc_norm_stderr\": 0.004963872936857944\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.34814814814814815,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.34814814814814815,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.3355263157894737,\n \"acc_stderr\": 0.038424985593952694,\n\ \ \"acc_norm\": 0.3355263157894737,\n \"acc_norm_stderr\": 0.038424985593952694\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.42,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.42,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.41132075471698115,\n \"acc_stderr\": 0.030285009259009798,\n\ \ \"acc_norm\": 0.41132075471698115,\n \"acc_norm_stderr\": 0.030285009259009798\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.039420826399272135,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.039420826399272135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.43,\n\ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3352601156069364,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.3352601156069364,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171453,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171453\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n\ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.34893617021276596,\n \"acc_stderr\": 0.031158522131357787,\n\ \ \"acc_norm\": 0.34893617021276596,\n \"acc_norm_stderr\": 0.031158522131357787\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.30701754385964913,\n\ \ \"acc_stderr\": 0.043391383225798615,\n \"acc_norm\": 0.30701754385964913,\n\ \ \"acc_norm_stderr\": 0.043391383225798615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.4413793103448276,\n \"acc_stderr\": 0.04137931034482758,\n\ \ \"acc_norm\": 0.4413793103448276,\n \"acc_norm_stderr\": 0.04137931034482758\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3412698412698413,\n \"acc_stderr\": 0.02441923496681907,\n \"\ acc_norm\": 0.3412698412698413,\n \"acc_norm_stderr\": 0.02441923496681907\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.36507936507936506,\n\ \ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\ \ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.41935483870967744,\n \"acc_stderr\": 0.028071588901091835,\n \"\ acc_norm\": 0.41935483870967744,\n \"acc_norm_stderr\": 0.028071588901091835\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.3251231527093596,\n \"acc_stderr\": 0.032957975663112704,\n \"\ acc_norm\": 0.3251231527093596,\n \"acc_norm_stderr\": 0.032957975663112704\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\ : 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.37575757575757573,\n \"acc_stderr\": 0.03781887353205983,\n\ \ \"acc_norm\": 0.37575757575757573,\n \"acc_norm_stderr\": 0.03781887353205983\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.42424242424242425,\n \"acc_stderr\": 0.03521224908841583,\n \"\ acc_norm\": 0.42424242424242425,\n \"acc_norm_stderr\": 0.03521224908841583\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.43005181347150256,\n \"acc_stderr\": 0.03572954333144809,\n\ \ \"acc_norm\": 0.43005181347150256,\n \"acc_norm_stderr\": 0.03572954333144809\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.3564102564102564,\n \"acc_stderr\": 0.0242831405294673,\n \ \ \"acc_norm\": 0.3564102564102564,\n \"acc_norm_stderr\": 0.0242831405294673\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2777777777777778,\n \"acc_stderr\": 0.027309140588230165,\n \ \ \"acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.027309140588230165\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.03196876989195778,\n \ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.03196876989195778\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.41651376146788993,\n \"acc_stderr\": 0.02113637650403087,\n \"\ acc_norm\": 0.41651376146788993,\n \"acc_norm_stderr\": 0.02113637650403087\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.36574074074074076,\n \"acc_stderr\": 0.03284738857647207,\n \"\ acc_norm\": 0.36574074074074076,\n \"acc_norm_stderr\": 0.03284738857647207\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.39705882352941174,\n \"acc_stderr\": 0.03434131164719129,\n \"\ acc_norm\": 0.39705882352941174,\n \"acc_norm_stderr\": 0.03434131164719129\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.3755274261603376,\n \"acc_stderr\": 0.03152256243091156,\n \ \ \"acc_norm\": 0.3755274261603376,\n \"acc_norm_stderr\": 0.03152256243091156\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3901345291479821,\n\ \ \"acc_stderr\": 0.03273766725459157,\n \"acc_norm\": 0.3901345291479821,\n\ \ \"acc_norm_stderr\": 0.03273766725459157\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.4198473282442748,\n \"acc_stderr\": 0.04328577215262972,\n\ \ \"acc_norm\": 0.4198473282442748,\n \"acc_norm_stderr\": 0.04328577215262972\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.45454545454545453,\n \"acc_stderr\": 0.045454545454545456,\n \"\ acc_norm\": 0.45454545454545453,\n \"acc_norm_stderr\": 0.045454545454545456\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.37037037037037035,\n\ \ \"acc_stderr\": 0.04668408033024931,\n \"acc_norm\": 0.37037037037037035,\n\ \ \"acc_norm_stderr\": 0.04668408033024931\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.4601226993865031,\n \"acc_stderr\": 0.03915857291436972,\n\ \ \"acc_norm\": 0.4601226993865031,\n \"acc_norm_stderr\": 0.03915857291436972\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.04464285714285714,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.04464285714285714\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.3883495145631068,\n \"acc_stderr\": 0.0482572933735639,\n\ \ \"acc_norm\": 0.3883495145631068,\n \"acc_norm_stderr\": 0.0482572933735639\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.6538461538461539,\n\ \ \"acc_stderr\": 0.031166957367235903,\n \"acc_norm\": 0.6538461538461539,\n\ \ \"acc_norm_stderr\": 0.031166957367235903\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.4367816091954023,\n\ \ \"acc_stderr\": 0.017736470837800687,\n \"acc_norm\": 0.4367816091954023,\n\ \ \"acc_norm_stderr\": 0.017736470837800687\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.4190751445086705,\n \"acc_stderr\": 0.026564178111422622,\n\ \ \"acc_norm\": 0.4190751445086705,\n \"acc_norm_stderr\": 0.026564178111422622\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2581005586592179,\n\ \ \"acc_stderr\": 0.014635185616527824,\n \"acc_norm\": 0.2581005586592179,\n\ \ \"acc_norm_stderr\": 0.014635185616527824\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.02795604616542451,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.02795604616542451\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.42765273311897106,\n\ \ \"acc_stderr\": 0.028099240775809567,\n \"acc_norm\": 0.42765273311897106,\n\ \ \"acc_norm_stderr\": 0.028099240775809567\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.36419753086419754,\n \"acc_stderr\": 0.02677492989972232,\n\ \ \"acc_norm\": 0.36419753086419754,\n \"acc_norm_stderr\": 0.02677492989972232\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.3191489361702128,\n \"acc_stderr\": 0.0278079901413202,\n \ \ \"acc_norm\": 0.3191489361702128,\n \"acc_norm_stderr\": 0.0278079901413202\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2842242503259452,\n\ \ \"acc_stderr\": 0.011519880596516078,\n \"acc_norm\": 0.2842242503259452,\n\ \ \"acc_norm_stderr\": 0.011519880596516078\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.3492647058823529,\n \"acc_stderr\": 0.028959755196824855,\n\ \ \"acc_norm\": 0.3492647058823529,\n \"acc_norm_stderr\": 0.028959755196824855\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.35130718954248363,\n \"acc_stderr\": 0.019312676065786558,\n \ \ \"acc_norm\": 0.35130718954248363,\n \"acc_norm_stderr\": 0.019312676065786558\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5272727272727272,\n\ \ \"acc_stderr\": 0.04782001791380061,\n \"acc_norm\": 0.5272727272727272,\n\ \ \"acc_norm_stderr\": 0.04782001791380061\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.4530612244897959,\n \"acc_stderr\": 0.03186785930004128,\n\ \ \"acc_norm\": 0.4530612244897959,\n \"acc_norm_stderr\": 0.03186785930004128\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.42786069651741293,\n\ \ \"acc_stderr\": 0.03498541988407795,\n \"acc_norm\": 0.42786069651741293,\n\ \ \"acc_norm_stderr\": 0.03498541988407795\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.37349397590361444,\n\ \ \"acc_stderr\": 0.037658451171688624,\n \"acc_norm\": 0.37349397590361444,\n\ \ \"acc_norm_stderr\": 0.037658451171688624\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.3508771929824561,\n \"acc_stderr\": 0.03660298834049162,\n\ \ \"acc_norm\": 0.3508771929824561,\n \"acc_norm_stderr\": 0.03660298834049162\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2802937576499388,\n\ \ \"mc1_stderr\": 0.015723139524608753,\n \"mc2\": 0.455556353489654,\n\ \ \"mc2_stderr\": 0.015280106274741655\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.5682715074980268,\n \"acc_stderr\": 0.01392087211001071\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2676269901440485,\n \ \ \"acc_stderr\": 0.012194764427053343\n }\n}\n```" repo_url: https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|arc:challenge|25_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-05T09-40-26.509293.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|gsm8k|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hellaswag|10_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-05T09-40-26.509293.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-management|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T09-40-26.509293.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|truthfulqa:mc|0_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-05T09-40-26.509293.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_05T09_40_26.509293 path: - '**/details_harness|winogrande|5_2024-01-05T09-40-26.509293.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-05T09-40-26.509293.parquet' - config_name: results data_files: - split: 2024_01_05T09_40_26.509293 path: - results_2024-01-05T09-40-26.509293.parquet - split: latest path: - results_2024-01-05T09-40-26.509293.parquet --- # Dataset Card for Evaluation run of deepseek-ai/deepseek-coder-6.7b-instruct <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-instruct", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-05T09:40:26.509293](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-instruct/blob/main/results_2024-01-05T09-40-26.509293.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.3910854432124772, "acc_stderr": 0.03451531253731588, "acc_norm": 0.3927686146925743, "acc_norm_stderr": 0.03524628661020728, "mc1": 0.2802937576499388, "mc1_stderr": 0.015723139524608753, "mc2": 0.455556353489654, "mc2_stderr": 0.015280106274741655 }, "harness|arc:challenge|25": { "acc": 0.35921501706484643, "acc_stderr": 0.014020224155839159, "acc_norm": 0.38139931740614336, "acc_norm_stderr": 0.014194389086685263 }, "harness|hellaswag|10": { "acc": 0.420035849432384, "acc_stderr": 0.0049255561046794094, "acc_norm": 0.5508862776339375, "acc_norm_stderr": 0.004963872936857944 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.34814814814814815, "acc_stderr": 0.041153246103369526, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3355263157894737, "acc_stderr": 0.038424985593952694, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.038424985593952694 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.41132075471698115, "acc_stderr": 0.030285009259009798, "acc_norm": 0.41132075471698115, "acc_norm_stderr": 0.030285009259009798 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3333333333333333, "acc_stderr": 0.039420826399272135, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.039420826399272135 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247077, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247077 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171453, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171453 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.34893617021276596, "acc_stderr": 0.031158522131357787, "acc_norm": 0.34893617021276596, "acc_norm_stderr": 0.031158522131357787 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.30701754385964913, "acc_stderr": 0.043391383225798615, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.043391383225798615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4413793103448276, "acc_stderr": 0.04137931034482758, "acc_norm": 0.4413793103448276, "acc_norm_stderr": 0.04137931034482758 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3412698412698413, "acc_stderr": 0.02441923496681907, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.02441923496681907 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.36507936507936506, "acc_stderr": 0.04306241259127153, "acc_norm": 0.36507936507936506, "acc_norm_stderr": 0.04306241259127153 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.41935483870967744, "acc_stderr": 0.028071588901091835, "acc_norm": 0.41935483870967744, "acc_norm_stderr": 0.028071588901091835 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3251231527093596, "acc_stderr": 0.032957975663112704, "acc_norm": 0.3251231527093596, "acc_norm_stderr": 0.032957975663112704 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.37575757575757573, "acc_stderr": 0.03781887353205983, "acc_norm": 0.37575757575757573, "acc_norm_stderr": 0.03781887353205983 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.42424242424242425, "acc_stderr": 0.03521224908841583, "acc_norm": 0.42424242424242425, "acc_norm_stderr": 0.03521224908841583 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.43005181347150256, "acc_stderr": 0.03572954333144809, "acc_norm": 0.43005181347150256, "acc_norm_stderr": 0.03572954333144809 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3564102564102564, "acc_stderr": 0.0242831405294673, "acc_norm": 0.3564102564102564, "acc_norm_stderr": 0.0242831405294673 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2777777777777778, "acc_stderr": 0.027309140588230165, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.027309140588230165 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.03196876989195778, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.03196876989195778 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.41651376146788993, "acc_stderr": 0.02113637650403087, "acc_norm": 0.41651376146788993, "acc_norm_stderr": 0.02113637650403087 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.36574074074074076, "acc_stderr": 0.03284738857647207, "acc_norm": 0.36574074074074076, "acc_norm_stderr": 0.03284738857647207 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.39705882352941174, "acc_stderr": 0.03434131164719129, "acc_norm": 0.39705882352941174, "acc_norm_stderr": 0.03434131164719129 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.3755274261603376, "acc_stderr": 0.03152256243091156, "acc_norm": 0.3755274261603376, "acc_norm_stderr": 0.03152256243091156 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.3901345291479821, "acc_stderr": 0.03273766725459157, "acc_norm": 0.3901345291479821, "acc_norm_stderr": 0.03273766725459157 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.4198473282442748, "acc_stderr": 0.04328577215262972, "acc_norm": 0.4198473282442748, "acc_norm_stderr": 0.04328577215262972 }, "harness|hendrycksTest-international_law|5": { "acc": 0.45454545454545453, "acc_stderr": 0.045454545454545456, "acc_norm": 0.45454545454545453, "acc_norm_stderr": 0.045454545454545456 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.37037037037037035, "acc_stderr": 0.04668408033024931, "acc_norm": 0.37037037037037035, "acc_norm_stderr": 0.04668408033024931 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.4601226993865031, "acc_stderr": 0.03915857291436972, "acc_norm": 0.4601226993865031, "acc_norm_stderr": 0.03915857291436972 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.33035714285714285, "acc_stderr": 0.04464285714285714, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.04464285714285714 }, "harness|hendrycksTest-management|5": { "acc": 0.3883495145631068, "acc_stderr": 0.0482572933735639, "acc_norm": 0.3883495145631068, "acc_norm_stderr": 0.0482572933735639 }, "harness|hendrycksTest-marketing|5": { "acc": 0.6538461538461539, "acc_stderr": 0.031166957367235903, "acc_norm": 0.6538461538461539, "acc_norm_stderr": 0.031166957367235903 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.4367816091954023, "acc_stderr": 0.017736470837800687, "acc_norm": 0.4367816091954023, "acc_norm_stderr": 0.017736470837800687 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.4190751445086705, "acc_stderr": 0.026564178111422622, "acc_norm": 0.4190751445086705, "acc_norm_stderr": 0.026564178111422622 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2581005586592179, "acc_stderr": 0.014635185616527824, "acc_norm": 0.2581005586592179, "acc_norm_stderr": 0.014635185616527824 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.39215686274509803, "acc_stderr": 0.02795604616542451, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.02795604616542451 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.42765273311897106, "acc_stderr": 0.028099240775809567, "acc_norm": 0.42765273311897106, "acc_norm_stderr": 0.028099240775809567 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.36419753086419754, "acc_stderr": 0.02677492989972232, "acc_norm": 0.36419753086419754, "acc_norm_stderr": 0.02677492989972232 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.3191489361702128, "acc_stderr": 0.0278079901413202, "acc_norm": 0.3191489361702128, "acc_norm_stderr": 0.0278079901413202 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.2842242503259452, "acc_stderr": 0.011519880596516078, "acc_norm": 0.2842242503259452, "acc_norm_stderr": 0.011519880596516078 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.3492647058823529, "acc_stderr": 0.028959755196824855, "acc_norm": 0.3492647058823529, "acc_norm_stderr": 0.028959755196824855 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.35130718954248363, "acc_stderr": 0.019312676065786558, "acc_norm": 0.35130718954248363, "acc_norm_stderr": 0.019312676065786558 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.5272727272727272, "acc_stderr": 0.04782001791380061, "acc_norm": 0.5272727272727272, "acc_norm_stderr": 0.04782001791380061 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.4530612244897959, "acc_stderr": 0.03186785930004128, "acc_norm": 0.4530612244897959, "acc_norm_stderr": 0.03186785930004128 }, "harness|hendrycksTest-sociology|5": { "acc": 0.42786069651741293, "acc_stderr": 0.03498541988407795, "acc_norm": 0.42786069651741293, "acc_norm_stderr": 0.03498541988407795 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-virology|5": { "acc": 0.37349397590361444, "acc_stderr": 0.037658451171688624, "acc_norm": 0.37349397590361444, "acc_norm_stderr": 0.037658451171688624 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.3508771929824561, "acc_stderr": 0.03660298834049162, "acc_norm": 0.3508771929824561, "acc_norm_stderr": 0.03660298834049162 }, "harness|truthfulqa:mc|0": { "mc1": 0.2802937576499388, "mc1_stderr": 0.015723139524608753, "mc2": 0.455556353489654, "mc2_stderr": 0.015280106274741655 }, "harness|winogrande|5": { "acc": 0.5682715074980268, "acc_stderr": 0.01392087211001071 }, "harness|gsm8k|5": { "acc": 0.2676269901440485, "acc_stderr": 0.012194764427053343 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### 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原始信息汇总

数据集概述

数据集摘要

该数据集是在评估模型 deepseek-ai/deepseek-coder-6.7b-instruct 在 Open LLM Leaderboard 上的自动创建的。

数据集组成

  • 该数据集包含 63 个配置,每个配置对应一个评估任务。
  • 数据集从 1 次运行中创建。每个运行可以在每个配置中作为一个特定的分割找到,分割名称使用运行的时间戳。
  • "train" 分割总是指向最新的结果。
  • 一个额外的配置 "results" 存储所有运行的聚合结果,用于计算和显示在 Open LLM Leaderboard 上的聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-instruct", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-05T09:40:26.509293 运行的最新结果:

python { "all": { "acc": 0.3910854432124772, "acc_stderr": 0.03451531253731588, "acc_norm": 0.3927686146925743, "acc_norm_stderr": 0.03524628661020728, "mc1": 0.2802937576499388, "mc1_stderr": 0.015723139524608753, "mc2": 0.455556353489654, "mc2_stderr": 0.015280106274741655 }, "harness|arc:challenge|25": { "acc": 0.35921501706484643, "acc_stderr": 0.014020224155839159, "acc_norm": 0.38139931740614336, "acc_norm_stderr": 0.014194389086685263 }, "harness|hellaswag|10": { "acc": 0.420035849432384, "acc_stderr": 0.0049255561046794094, "acc_norm": 0.5508862776339375, "acc_norm_stderr": 0.004963872936857944 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.34814814814814815, "acc_stderr": 0.041153246103369526, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3355263157894737, "acc_stderr": 0.038424985593952694, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.038424985593952694 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.41132075471698115, "acc_stderr": 0.030285009259009798, "acc_norm": 0.41132075471698115, "acc_norm_stderr": 0.030285009259009798 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3333333333333333, "acc_stderr": 0.039420826399272135, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.039420826399272135 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247077, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247077 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171453, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171453 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.34893617021276596, "acc_stderr": 0.031158522131357787, "acc_norm": 0.34893617021276596, "acc_norm_stderr": 0.031158522131357787 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.30701754385964913, "acc_stderr": 0.043391383225798615, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.043391383225798615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4413793103448276, "acc_stderr": 0.04137931034482758, "acc_norm": 0.4413793103448276, "acc_norm_stderr": 0.04137931034482758 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3412698412698413, "acc_stderr": 0.02441923496681907, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.02441923496681907 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.36507936507936506, "acc_stderr": 0.04306241259127153, "acc_norm": 0.36507936507936506, "acc_norm_stderr": 0.04306241259127153 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.41935483870967744, "acc_stderr": 0.028071588901091835, "acc_norm": 0.41935483870967744, "acc_norm_stderr": 0.028071588901091835 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3251231527093596, "acc_stderr": 0.032957975663112704, "acc_norm": 0.3251231527093596, "acc_norm_stderr": 0.032957975663112704 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.37575757575757573, "acc_stderr": 0.03781887353205983, "acc_norm": 0.37575757575757573, "acc_norm_stderr": 0.03781887353205983 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.42424242424242425, "acc_stderr": 0.03521224908841583, "acc_norm": 0.42424242424242425, "acc_norm_stderr": 0.03521224908841583 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.43005181347150256, "acc_stderr": 0.03572954333144809, "acc_norm": 0.43005181347150256, "acc_norm_stderr": 0.03572954333144809 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3564102564102564, "acc_stderr": 0.0242831405294673, "acc_norm": 0.3564102564102564, "acc_norm_stderr": 0.0242831405294673 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2777777777777778, "acc_stderr": 0.02730914058823

搜集汇总
数据集介绍
构建方式
该数据集是在Open LLM Leaderboard评估框架下,对deepseek-ai/deepseek-coder-6.7b-instruct模型进行自动化评测时生成的。数据集共包含63个配置,每个配置对应一项被评估的任务。所有数据来源于一次完整的评估运行,每次运行的结果以时间戳命名,作为特定分割存储在相应配置中,而“train”分割则始终指向最新一次运行的结果。此外,一个名为“results”的额外配置用于存储运行的所有聚合结果,并用于在排行榜上计算和展示综合指标。
特点
该数据集的结构设计精巧,每个任务配置独立存储,便于研究者按需访问特定任务的细粒度评估结果。通过时间戳分割与“latest”分割的区分,数据集既保留了历史运行轨迹,又确保用户能便捷获取最新数据。聚合配置“results”提供了跨任务的统一视图,涵盖准确率、标准差、归一化准确率及TruthfulQA特有的mc1、mc2指标,全面反映模型在多样化基准上的表现。数据以Parquet格式高效存储,兼顾了大规模数据处理的性能与可扩展性。
使用方法
用户可通过Hugging Face的datasets库轻松加载该数据集。例如,调用load_dataset函数并指定配置名称(如“harness_winogrande_5”)和分割(如“train”),即可获取对应任务的评估细节。每个配置下的数据文件以Parquet格式组织,路径遵循统一命名规则,方便程序化检索。对于需要分析完整评估结果的场景,可直接加载“results”配置,获取包含所有任务聚合指标的JSON格式数据,从而支持模型性能的横向对比与深入分析。
背景与挑战
背景概述
在大型语言模型(LLM)迅猛发展的浪潮中,如何系统性地评估模型在多样化任务上的综合能力成为学界与工业界共同关注的焦点。Open LLM Leaderboard由Hugging Face团队于2023年发起,旨在为开源LLM提供一个标准化、可复现的评测平台。该数据集专为评估deepseek-ai/deepseek-coder-6.7b-instruct模型而创建,记录了其在2024年1月5日一次完整的评测运行中,涵盖ARC-Challenge、HellaSwag、MMLU(涵盖57个学科)、TruthfulQA、Winogrande和GSM8K等63个任务配置下的详细性能指标。该数据集不仅展现了DeepSeek Coder系列模型在代码生成与推理任务上的潜力,更通过细粒度的结果存档,为后续模型对比与性能追踪提供了宝贵资源,对推动开放LLM评测体系的完善具有重要影响。
当前挑战
该数据集所面临的挑战主要体现在两个层面。在领域问题层面,其旨在解决的并非单一任务,而是LLM在知识推理、常识理解、数学求解及事实一致性等多维度上的泛化能力评估,这要求评测体系能够兼顾广度与深度,避免因任务设计偏差而导致评估失真。在构建过程中,挑战则集中于评测流程的标准化与可复现性:需确保每次运行在不同任务配置下的数据加载、推理参数及评估指标(如acc、acc_norm、mc1等)保持高度一致,同时处理63个配置的庞大数据存储与版本管理问题。此外,如何从原始评测日志中自动提取并聚合结果,形成统一的“results”配置以供排行榜展示,也是工程实现上的关键难点。
常用场景
经典使用场景
在自然语言处理与代码智能的交叉领域,open-llm-leaderboard-old/details_deepseek-ai__deepseek-coder-6.7b-instruct 数据集作为Open LLM Leaderboard的评估产物,其经典使用场景在于系统性地评测代码生成模型在多样化任务上的泛化能力。该数据集涵盖了63个配置,对应ARC-Challenge、HellaSwag、GSM8K、TruthfulQA及WinoGrande等基准测试,同时囊括了涵盖抽象代数、临床知识、大学物理等57个学科领域的MMLU子集,为研究者提供了对模型在常识推理、数学求解、事实一致性及多学科知识掌握等维度上的细粒度性能剖析。通过加载特定任务的配置与分割,研究者可精准复现模型在特定评估轮次中的表现,从而深入分析模型在不同难度与领域下的行为特征。
实际应用
在实际应用层面,该数据集为代码智能系统的选型与部署提供了关键决策依据。企业或开发者可依据数据集中记录的模型在GSM8K数学问题求解、ARC科学推理及MMLU多学科知识问答上的表现,评估deepseek-coder-6.7b-instruct是否适用于教育辅导、自动化编程辅助或专业领域问答等场景。例如,其在WinoGrande常识推理任务上0.568的准确率,暗示了它在处理代词指代消解等语言歧义问题上的潜力,可被集成于智能代码编辑器或对话式编程助手中,提升对开发者意图的理解准确性。此外,模型在TruthfulQA上0.456的MC2分数,也为构建注重事实准确性的信息检索系统提供了参考阈值。
衍生相关工作
该数据集衍生了一系列围绕大语言模型评估与代码生成能力分析的重要工作。基于其结构化评估结果,研究者开发了多种模型性能可视化与对比分析工具,例如通过聚合不同任务上的准确率方差,识别模型在特定学科(如大学物理准确率仅0.235)上的系统性弱点,进而催生了针对代码模型知识盲区的定向微调研究。此外,该数据集作为Open LLM Leaderboard生态的组成部分,推动了跨模型比较排行榜的构建,激发了诸如DeepSeek-Coder系列后续版本在数学推理(如GSM8K)和常识理解(如HellaSwag)等任务上的迭代改进。同时,数据集中包含的多次运行记录,为研究模型评估的稳定性与随机性提供了实证素材,促进了评估方法论本身的学术探讨。
以上内容由遇见数据集搜集并总结生成
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