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--- |
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pretty_name: Evaluation run of deepseek-ai/deepseek-coder-6.7b-instruct |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct)\ |
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ |
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\nThe dataset is composed of 63 configuration, each one coresponding to one of the\ |
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\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ |
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\ found as a specific split in each configuration, the split being named using the\ |
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ |
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\nAn additional configuration \"results\" store all the aggregated results of the\ |
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\ run (and is used to compute and display the aggregated metrics on the [Open LLM\ |
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ |
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\nTo load the details from a run, you can for instance do the following:\n```python\n\ |
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-instruct\"\ |
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,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ |
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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\ |
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\ that their might be results for other tasks in the repos if successive evals didn't\ |
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\ cover the same tasks. You find each in the results and the \"latest\" split for\ |
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\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.3910854432124772,\n\ |
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\ \"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\ |
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\ \"mc2_stderr\": 0.015280106274741655\n },\n \"harness|arc:challenge|25\"\ |
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|
: {\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\ |
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|
\ \"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```" |
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repo_url: https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct |
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard |
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point_of_contact: [email protected] |
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configs: |
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- config_name: harness_arc_challenge_25 |
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
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path: |
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- '**/details_harness|arc:challenge|25_2024-01-05T09-40-26.509293.parquet' |
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- split: latest |
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path: |
|
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- '**/details_harness|arc:challenge|25_2024-01-05T09-40-26.509293.parquet' |
|
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- config_name: harness_gsm8k_5 |
|
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
|
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path: |
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- '**/details_harness|gsm8k|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|gsm8k|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hellaswag_10 |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hellaswag|10_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hellaswag|10_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T09-40-26.509293.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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data_files: |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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- split: 2024_01_05T09_40_26.509293 |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_computer_security_5 |
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- config_name: harness_hendrycksTest_conceptual_physics_5 |
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- config_name: harness_hendrycksTest_econometrics_5 |
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- config_name: harness_hendrycksTest_electrical_engineering_5 |
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- config_name: harness_hendrycksTest_elementary_mathematics_5 |
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- config_name: harness_hendrycksTest_formal_logic_5 |
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- config_name: harness_hendrycksTest_high_school_biology_5 |
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- config_name: harness_hendrycksTest_high_school_computer_science_5 |
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- config_name: harness_hendrycksTest_high_school_european_history_5 |
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- config_name: harness_hendrycksTest_high_school_geography_5 |
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- config_name: harness_hendrycksTest_high_school_government_and_politics_5 |
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- config_name: harness_hendrycksTest_high_school_mathematics_5 |
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- config_name: harness_hendrycksTest_high_school_microeconomics_5 |
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- config_name: harness_hendrycksTest_high_school_physics_5 |
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- config_name: harness_hendrycksTest_high_school_psychology_5 |
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- config_name: harness_hendrycksTest_high_school_statistics_5 |
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- config_name: harness_hendrycksTest_high_school_us_history_5 |
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- config_name: harness_hendrycksTest_high_school_world_history_5 |
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- config_name: harness_hendrycksTest_human_aging_5 |
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- config_name: harness_hendrycksTest_international_law_5 |
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- config_name: harness_hendrycksTest_jurisprudence_5 |
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- config_name: harness_hendrycksTest_machine_learning_5 |
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- config_name: harness_hendrycksTest_medical_genetics_5 |
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- config_name: harness_hendrycksTest_moral_disputes_5 |
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- config_name: harness_hendrycksTest_moral_scenarios_5 |
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- config_name: harness_hendrycksTest_nutrition_5 |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_philosophy_5 |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_prehistory_5 |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T09-40-26.509293.parquet' |
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- config_name: harness_hendrycksTest_professional_accounting_5 |
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- config_name: harness_hendrycksTest_professional_medicine_5 |
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- config_name: harness_hendrycksTest_professional_psychology_5 |
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- config_name: harness_hendrycksTest_public_relations_5 |
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- 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. --> |
|
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|
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|
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). |
|
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|
|
|
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. |
|
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|
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|
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 |
|
|
} |
|
|
} |
|
|
``` |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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### Dataset Sources [optional] |
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<!-- Provide the basic links for the dataset. --> |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the dataset is intended to be used. --> |
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### Direct Use |
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<!-- This section describes suitable use cases for the dataset. --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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[More Information Needed] |
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## Dataset Structure |
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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<!-- Motivation for the creation of this dataset. --> |
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[More Information Needed] |
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### Source Data |
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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#### Data Collection and Processing |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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[More Information Needed] |
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#### Who are the source data producers? |
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
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[More Information Needed] |
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### Annotations [optional] |
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
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#### Annotation process |
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<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> |
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[More Information Needed] |
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#### Who are the annotators? |
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<!-- This section describes the people or systems who created the annotations. --> |
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[More Information Needed] |
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#### Personal and Sensitive Information |
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Dataset Card Authors [optional] |
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[More Information Needed] |
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## Dataset Card Contact |
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[More Information Needed] |
