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--- |
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pretty_name: Evaluation run of deepseek-ai/deepseek-coder-6.7b-base |
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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-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base)\ |
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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-base\"\ |
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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 2024-04-02T21:41:57.054032](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-base/blob/main/results_2024-04-02T21-41-57.054032.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\": 0.3834336760075987,\n\ |
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\ \"acc_stderr\": 0.034332482050115895,\n \"acc_norm\": 0.38623691006245225,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0350884024183875,\n \"mc1\": 0.2460220318237454,\n\ |
|
|
\ \"mc1_stderr\": 0.01507721920066259,\n \"mc2\": 0.40281312056107804,\n\ |
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|
\ \"mc2_stderr\": 0.014575988959515906\n },\n \"harness|arc:challenge|25\"\ |
|
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: {\n \"acc\": 0.3361774744027304,\n \"acc_stderr\": 0.01380485502620576,\n\ |
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|
\ \"acc_norm\": 0.3703071672354949,\n \"acc_norm_stderr\": 0.01411129875167495\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.4095797649870544,\n\ |
|
|
\ \"acc_stderr\": 0.004907512103128349,\n \"acc_norm\": 0.5345548695478988,\n\ |
|
|
\ \"acc_norm_stderr\": 0.004977851161904398\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\": 0.4,\n \ |
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|
\ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.4,\n \"\ |
|
|
acc_norm_stderr\": 0.04232073695151589\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.35526315789473684,\n \"acc_stderr\": 0.03894734487013318,\n\ |
|
|
\ \"acc_norm\": 0.35526315789473684,\n \"acc_norm_stderr\": 0.03894734487013318\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.4,\n\ |
|
|
\ \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\": 0.4,\n \ |
|
|
\ \"acc_norm_stderr\": 0.049236596391733084\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\": 0.3055555555555556,\n\ |
|
|
\ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.3055555555555556,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ |
|
|
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\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\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ |
|
|
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3468208092485549,\n\ |
|
|
\ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.3468208092485549,\n\ |
|
|
\ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.043364327079931785,\n\ |
|
|
\ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.043364327079931785\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.62,\n \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n\ |
|
|
\ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.35319148936170214,\n \"acc_stderr\": 0.031245325202761923,\n\ |
|
|
\ \"acc_norm\": 0.35319148936170214,\n \"acc_norm_stderr\": 0.031245325202761923\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\ |
|
|
\ \"acc_stderr\": 0.043036840335373146,\n \"acc_norm\": 0.2982456140350877,\n\ |
|
|
\ \"acc_norm_stderr\": 0.043036840335373146\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.45517241379310347,\n \"acc_stderr\": 0.04149886942192117,\n\ |
|
|
\ \"acc_norm\": 0.45517241379310347,\n \"acc_norm_stderr\": 0.04149886942192117\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.31216931216931215,\n \"acc_stderr\": 0.023865206836972602,\n \"\ |
|
|
acc_norm\": 0.31216931216931215,\n \"acc_norm_stderr\": 0.023865206836972602\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.29365079365079366,\n\ |
|
|
\ \"acc_stderr\": 0.04073524322147125,\n \"acc_norm\": 0.29365079365079366,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04073524322147125\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \ |
|
|
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.36451612903225805,\n\ |
|
|
\ \"acc_stderr\": 0.02737987122994325,\n \"acc_norm\": 0.36451612903225805,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02737987122994325\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.2955665024630542,\n \"acc_stderr\": 0.032104944337514575,\n\ |
|
|
\ \"acc_norm\": 0.2955665024630542,\n \"acc_norm_stderr\": 0.032104944337514575\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ |
|
|
: 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.3696969696969697,\n \"acc_stderr\": 0.03769430314512567,\n\ |
|
|
\ \"acc_norm\": 0.3696969696969697,\n \"acc_norm_stderr\": 0.03769430314512567\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.40404040404040403,\n \"acc_stderr\": 0.03496130972056127,\n \"\ |
|
|
acc_norm\": 0.40404040404040403,\n \"acc_norm_stderr\": 0.03496130972056127\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.42487046632124353,\n \"acc_stderr\": 0.0356747133521254,\n\ |
|
|
\ \"acc_norm\": 0.42487046632124353,\n \"acc_norm_stderr\": 0.0356747133521254\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.34615384615384615,\n \"acc_stderr\": 0.02412112541694119,\n\ |
|
|
\ \"acc_norm\": 0.34615384615384615,\n \"acc_norm_stderr\": 0.02412112541694119\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.28888888888888886,\n \"acc_stderr\": 0.027634907264178544,\n \ |
|
|
\ \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.027634907264178544\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.36134453781512604,\n \"acc_stderr\": 0.031204691225150023,\n\ |
|
|
\ \"acc_norm\": 0.36134453781512604,\n \"acc_norm_stderr\": 0.031204691225150023\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763743,\n \"\ |
|
|
acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763743\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.3853211009174312,\n \"acc_stderr\": 0.020865850852794108,\n \"\ |
|
|
acc_norm\": 0.3853211009174312,\n \"acc_norm_stderr\": 0.020865850852794108\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.37037037037037035,\n \"acc_stderr\": 0.03293377139415191,\n \"\ |
|
|
acc_norm\": 0.37037037037037035,\n \"acc_norm_stderr\": 0.03293377139415191\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.3480392156862745,\n \"acc_stderr\": 0.03343311240488419,\n \"\ |
|
|
acc_norm\": 0.3480392156862745,\n \"acc_norm_stderr\": 0.03343311240488419\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.3206751054852321,\n \"acc_stderr\": 0.030381931949990414,\n \ |
|
|
\ \"acc_norm\": 0.3206751054852321,\n \"acc_norm_stderr\": 0.030381931949990414\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3811659192825112,\n\ |
|
|
\ \"acc_stderr\": 0.03259625118416827,\n \"acc_norm\": 0.3811659192825112,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03259625118416827\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.46564885496183206,\n \"acc_stderr\": 0.043749285605997376,\n\ |
|
|
\ \"acc_norm\": 0.46564885496183206,\n \"acc_norm_stderr\": 0.043749285605997376\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.5289256198347108,\n \"acc_stderr\": 0.04556710331269498,\n \"\ |
|
|
acc_norm\": 0.5289256198347108,\n \"acc_norm_stderr\": 0.04556710331269498\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.3425925925925926,\n\ |
|
|
\ \"acc_stderr\": 0.045879047413018105,\n \"acc_norm\": 0.3425925925925926,\n\ |
|
|
\ \"acc_norm_stderr\": 0.045879047413018105\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.4233128834355828,\n \"acc_stderr\": 0.03881891213334382,\n\ |
|
|
\ \"acc_norm\": 0.4233128834355828,\n \"acc_norm_stderr\": 0.03881891213334382\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2767857142857143,\n\ |
|
|
\ \"acc_stderr\": 0.04246624336697624,\n \"acc_norm\": 0.2767857142857143,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04246624336697624\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.42718446601941745,\n \"acc_stderr\": 0.04897957737781168,\n\ |
|
|
\ \"acc_norm\": 0.42718446601941745,\n \"acc_norm_stderr\": 0.04897957737781168\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.6367521367521367,\n\ |
|
|
\ \"acc_stderr\": 0.03150712523091265,\n \"acc_norm\": 0.6367521367521367,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03150712523091265\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ |
|
|
\ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.40229885057471265,\n\ |
|
|
\ \"acc_stderr\": 0.017535294529068955,\n \"acc_norm\": 0.40229885057471265,\n\ |
|
|
\ \"acc_norm_stderr\": 0.017535294529068955\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.4046242774566474,\n \"acc_stderr\": 0.026424816594009852,\n\ |
|
|
\ \"acc_norm\": 0.4046242774566474,\n \"acc_norm_stderr\": 0.026424816594009852\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.28938547486033517,\n\ |
|
|
\ \"acc_stderr\": 0.015166544550490272,\n \"acc_norm\": 0.28938547486033517,\n\ |
|
|
\ \"acc_norm_stderr\": 0.015166544550490272\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.02807415894760066,\n\ |
|
|
\ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.02807415894760066\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.4405144694533762,\n\ |
|
|
\ \"acc_stderr\": 0.02819640057419743,\n \"acc_norm\": 0.4405144694533762,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02819640057419743\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.2808641975308642,\n \"acc_stderr\": 0.025006469755799208,\n\ |
|
|
\ \"acc_norm\": 0.2808641975308642,\n \"acc_norm_stderr\": 0.025006469755799208\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.3475177304964539,\n \"acc_stderr\": 0.028406627809590954,\n \ |
|
|
\ \"acc_norm\": 0.3475177304964539,\n \"acc_norm_stderr\": 0.028406627809590954\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.288135593220339,\n\ |
|
|
\ \"acc_stderr\": 0.011567140661324561,\n \"acc_norm\": 0.288135593220339,\n\ |
|
|
\ \"acc_norm_stderr\": 0.011567140661324561\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.4485294117647059,\n \"acc_stderr\": 0.030211479609121596,\n\ |
|
|
\ \"acc_norm\": 0.4485294117647059,\n \"acc_norm_stderr\": 0.030211479609121596\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.31699346405228757,\n \"acc_stderr\": 0.018824219512706217,\n \ |
|
|
\ \"acc_norm\": 0.31699346405228757,\n \"acc_norm_stderr\": 0.018824219512706217\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.509090909090909,\n\ |
|
|
\ \"acc_stderr\": 0.0478833976870286,\n \"acc_norm\": 0.509090909090909,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0478833976870286\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.031680911612338825,\n\ |
|
|
\ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.031680911612338825\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.4527363184079602,\n\ |
|
|
\ \"acc_stderr\": 0.035197027175769155,\n \"acc_norm\": 0.4527363184079602,\n\ |
|
|
\ \"acc_norm_stderr\": 0.035197027175769155\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956913,\n \ |
|
|
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956913\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.40963855421686746,\n\ |
|
|
\ \"acc_stderr\": 0.03828401115079024,\n \"acc_norm\": 0.40963855421686746,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03828401115079024\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.38596491228070173,\n \"acc_stderr\": 0.03733756969066164,\n\ |
|
|
\ \"acc_norm\": 0.38596491228070173,\n \"acc_norm_stderr\": 0.03733756969066164\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2460220318237454,\n\ |
|
|
\ \"mc1_stderr\": 0.01507721920066259,\n \"mc2\": 0.40281312056107804,\n\ |
|
|
\ \"mc2_stderr\": 0.014575988959515906\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.5808997632202052,\n \"acc_stderr\": 0.01386732519221011\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.17968157695223655,\n \ |
|
|
\ \"acc_stderr\": 0.010575119964242239\n }\n}\n```" |
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repo_url: https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base |
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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_04_02T21_41_57.054032 |
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path: |
|
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- '**/details_harness|arc:challenge|25_2024-04-02T21-41-57.054032.parquet' |
|
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- split: latest |
|
|
path: |
|
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- '**/details_harness|arc:challenge|25_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
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- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
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- '**/details_harness|gsm8k|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|gsm8k|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hellaswag_10 |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hellaswag|10_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hellaswag|10_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T21-41-57.054032.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T21-41-57.054032.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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data_files: |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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data_files: |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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data_files: |
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- split: 2024_04_02T21_41_57.054032 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T21-41-57.054032.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T21-41-57.054032.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-04-02T21-41-57.054032.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_04_02T21_41_57.054032 |
|
|
path: |
|
|
- results_2024-04-02T21-41-57.054032.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-04-02T21-41-57.054032.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of deepseek-ai/deepseek-coder-6.7b-base |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) 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-base", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-04-02T21:41:57.054032](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-6.7b-base/blob/main/results_2024-04-02T21-41-57.054032.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": 0.3834336760075987, |
|
|
"acc_stderr": 0.034332482050115895, |
|
|
"acc_norm": 0.38623691006245225, |
|
|
"acc_norm_stderr": 0.0350884024183875, |
|
|
"mc1": 0.2460220318237454, |
|
|
"mc1_stderr": 0.01507721920066259, |
|
|
"mc2": 0.40281312056107804, |
|
|
"mc2_stderr": 0.014575988959515906 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.3361774744027304, |
|
|
"acc_stderr": 0.01380485502620576, |
|
|
"acc_norm": 0.3703071672354949, |
|
|
"acc_norm_stderr": 0.01411129875167495 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.4095797649870544, |
|
|
"acc_stderr": 0.004907512103128349, |
|
|
"acc_norm": 0.5345548695478988, |
|
|
"acc_norm_stderr": 0.004977851161904398 |
|
|
}, |
|
|
"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": 0.4, |
|
|
"acc_stderr": 0.04232073695151589, |
|
|
"acc_norm": 0.4, |
|
|
"acc_norm_stderr": 0.04232073695151589 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.35526315789473684, |
|
|
"acc_stderr": 0.03894734487013318, |
|
|
"acc_norm": 0.35526315789473684, |
|
|
"acc_norm_stderr": 0.03894734487013318 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.4, |
|
|
"acc_stderr": 0.049236596391733084, |
|
|
"acc_norm": 0.4, |
|
|
"acc_norm_stderr": 0.049236596391733084 |
|
|
}, |
|
|
"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": 0.3055555555555556, |
|
|
"acc_stderr": 0.03852084696008534, |
|
|
"acc_norm": 0.3055555555555556, |
|
|
"acc_norm_stderr": 0.03852084696008534 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.39, |
|
|
"acc_stderr": 0.04902071300001975, |
|
|
"acc_norm": 0.39, |
|
|
"acc_norm_stderr": 0.04902071300001975 |
|
|
}, |
|
|
"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": 0.32, |
|
|
"acc_stderr": 0.046882617226215034, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.046882617226215034 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.3468208092485549, |
|
|
"acc_stderr": 0.036291466701596636, |
|
|
"acc_norm": 0.3468208092485549, |
|
|
"acc_norm_stderr": 0.036291466701596636 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.2549019607843137, |
|
|
"acc_stderr": 0.043364327079931785, |
|
|
"acc_norm": 0.2549019607843137, |
|
|
"acc_norm_stderr": 0.043364327079931785 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.62, |
|
|
"acc_stderr": 0.048783173121456316, |
|
|
"acc_norm": 0.62, |
|
|
"acc_norm_stderr": 0.048783173121456316 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.35319148936170214, |
|
|
"acc_stderr": 0.031245325202761923, |
|
|
"acc_norm": 0.35319148936170214, |
|
|
"acc_norm_stderr": 0.031245325202761923 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.2982456140350877, |
|
|
"acc_stderr": 0.043036840335373146, |
|
|
"acc_norm": 0.2982456140350877, |
|
|
"acc_norm_stderr": 0.043036840335373146 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.45517241379310347, |
|
|
"acc_stderr": 0.04149886942192117, |
|
|
"acc_norm": 0.45517241379310347, |
|
|
"acc_norm_stderr": 0.04149886942192117 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.31216931216931215, |
|
|
"acc_stderr": 0.023865206836972602, |
|
|
"acc_norm": 0.31216931216931215, |
|
|
"acc_norm_stderr": 0.023865206836972602 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.29365079365079366, |
|
|
"acc_stderr": 0.04073524322147125, |
|
|
"acc_norm": 0.29365079365079366, |
|
|
"acc_norm_stderr": 0.04073524322147125 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.28, |
|
|
"acc_stderr": 0.04512608598542128, |
|
|
"acc_norm": 0.28, |
|
|
"acc_norm_stderr": 0.04512608598542128 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.36451612903225805, |
|
|
"acc_stderr": 0.02737987122994325, |
|
|
"acc_norm": 0.36451612903225805, |
|
|
"acc_norm_stderr": 0.02737987122994325 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.2955665024630542, |
|
|
"acc_stderr": 0.032104944337514575, |
|
|
"acc_norm": 0.2955665024630542, |
|
|
"acc_norm_stderr": 0.032104944337514575 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.52, |
|
|
"acc_stderr": 0.050211673156867795, |
|
|
"acc_norm": 0.52, |
|
|
"acc_norm_stderr": 0.050211673156867795 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.3696969696969697, |
|
|
"acc_stderr": 0.03769430314512567, |
|
|
"acc_norm": 0.3696969696969697, |
|
|
"acc_norm_stderr": 0.03769430314512567 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.40404040404040403, |
|
|
"acc_stderr": 0.03496130972056127, |
|
|
"acc_norm": 0.40404040404040403, |
|
|
"acc_norm_stderr": 0.03496130972056127 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.42487046632124353, |
|
|
"acc_stderr": 0.0356747133521254, |
|
|
"acc_norm": 0.42487046632124353, |
|
|
"acc_norm_stderr": 0.0356747133521254 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.34615384615384615, |
|
|
"acc_stderr": 0.02412112541694119, |
|
|
"acc_norm": 0.34615384615384615, |
|
|
"acc_norm_stderr": 0.02412112541694119 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.28888888888888886, |
|
|
"acc_stderr": 0.027634907264178544, |
|
|
"acc_norm": 0.28888888888888886, |
|
|
"acc_norm_stderr": 0.027634907264178544 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.36134453781512604, |
|
|
"acc_stderr": 0.031204691225150023, |
|
|
"acc_norm": 0.36134453781512604, |
|
|
"acc_norm_stderr": 0.031204691225150023 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.2781456953642384, |
|
|
"acc_stderr": 0.03658603262763743, |
|
|
"acc_norm": 0.2781456953642384, |
|
|
"acc_norm_stderr": 0.03658603262763743 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.3853211009174312, |
|
|
"acc_stderr": 0.020865850852794108, |
|
|
"acc_norm": 0.3853211009174312, |
|
|
"acc_norm_stderr": 0.020865850852794108 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.37037037037037035, |
|
|
"acc_stderr": 0.03293377139415191, |
|
|
"acc_norm": 0.37037037037037035, |
|
|
"acc_norm_stderr": 0.03293377139415191 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.3480392156862745, |
|
|
"acc_stderr": 0.03343311240488419, |
|
|
"acc_norm": 0.3480392156862745, |
|
|
"acc_norm_stderr": 0.03343311240488419 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.3206751054852321, |
|
|
"acc_stderr": 0.030381931949990414, |
|
|
"acc_norm": 0.3206751054852321, |
|
|
"acc_norm_stderr": 0.030381931949990414 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.3811659192825112, |
|
|
"acc_stderr": 0.03259625118416827, |
|
|
"acc_norm": 0.3811659192825112, |
|
|
"acc_norm_stderr": 0.03259625118416827 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.46564885496183206, |
|
|
"acc_stderr": 0.043749285605997376, |
|
|
"acc_norm": 0.46564885496183206, |
|
|
"acc_norm_stderr": 0.043749285605997376 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.5289256198347108, |
|
|
"acc_stderr": 0.04556710331269498, |
|
|
"acc_norm": 0.5289256198347108, |
|
|
"acc_norm_stderr": 0.04556710331269498 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.3425925925925926, |
|
|
"acc_stderr": 0.045879047413018105, |
|
|
"acc_norm": 0.3425925925925926, |
|
|
"acc_norm_stderr": 0.045879047413018105 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.4233128834355828, |
|
|
"acc_stderr": 0.03881891213334382, |
|
|
"acc_norm": 0.4233128834355828, |
|
|
"acc_norm_stderr": 0.03881891213334382 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.2767857142857143, |
|
|
"acc_stderr": 0.04246624336697624, |
|
|
"acc_norm": 0.2767857142857143, |
|
|
"acc_norm_stderr": 0.04246624336697624 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.42718446601941745, |
|
|
"acc_stderr": 0.04897957737781168, |
|
|
"acc_norm": 0.42718446601941745, |
|
|
"acc_norm_stderr": 0.04897957737781168 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.6367521367521367, |
|
|
"acc_stderr": 0.03150712523091265, |
|
|
"acc_norm": 0.6367521367521367, |
|
|
"acc_norm_stderr": 0.03150712523091265 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.47, |
|
|
"acc_stderr": 0.05016135580465919, |
|
|
"acc_norm": 0.47, |
|
|
"acc_norm_stderr": 0.05016135580465919 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.40229885057471265, |
|
|
"acc_stderr": 0.017535294529068955, |
|
|
"acc_norm": 0.40229885057471265, |
|
|
"acc_norm_stderr": 0.017535294529068955 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.4046242774566474, |
|
|
"acc_stderr": 0.026424816594009852, |
|
|
"acc_norm": 0.4046242774566474, |
|
|
"acc_norm_stderr": 0.026424816594009852 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.28938547486033517, |
|
|
"acc_stderr": 0.015166544550490272, |
|
|
"acc_norm": 0.28938547486033517, |
|
|
"acc_norm_stderr": 0.015166544550490272 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.4019607843137255, |
|
|
"acc_stderr": 0.02807415894760066, |
|
|
"acc_norm": 0.4019607843137255, |
|
|
"acc_norm_stderr": 0.02807415894760066 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.4405144694533762, |
|
|
"acc_stderr": 0.02819640057419743, |
|
|
"acc_norm": 0.4405144694533762, |
|
|
"acc_norm_stderr": 0.02819640057419743 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.2808641975308642, |
|
|
"acc_stderr": 0.025006469755799208, |
|
|
"acc_norm": 0.2808641975308642, |
|
|
"acc_norm_stderr": 0.025006469755799208 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.3475177304964539, |
|
|
"acc_stderr": 0.028406627809590954, |
|
|
"acc_norm": 0.3475177304964539, |
|
|
"acc_norm_stderr": 0.028406627809590954 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.288135593220339, |
|
|
"acc_stderr": 0.011567140661324561, |
|
|
"acc_norm": 0.288135593220339, |
|
|
"acc_norm_stderr": 0.011567140661324561 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.4485294117647059, |
|
|
"acc_stderr": 0.030211479609121596, |
|
|
"acc_norm": 0.4485294117647059, |
|
|
"acc_norm_stderr": 0.030211479609121596 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.31699346405228757, |
|
|
"acc_stderr": 0.018824219512706217, |
|
|
"acc_norm": 0.31699346405228757, |
|
|
"acc_norm_stderr": 0.018824219512706217 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.509090909090909, |
|
|
"acc_stderr": 0.0478833976870286, |
|
|
"acc_norm": 0.509090909090909, |
|
|
"acc_norm_stderr": 0.0478833976870286 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.42857142857142855, |
|
|
"acc_stderr": 0.031680911612338825, |
|
|
"acc_norm": 0.42857142857142855, |
|
|
"acc_norm_stderr": 0.031680911612338825 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.4527363184079602, |
|
|
"acc_stderr": 0.035197027175769155, |
|
|
"acc_norm": 0.4527363184079602, |
|
|
"acc_norm_stderr": 0.035197027175769155 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.49, |
|
|
"acc_stderr": 0.05024183937956913, |
|
|
"acc_norm": 0.49, |
|
|
"acc_norm_stderr": 0.05024183937956913 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.40963855421686746, |
|
|
"acc_stderr": 0.03828401115079024, |
|
|
"acc_norm": 0.40963855421686746, |
|
|
"acc_norm_stderr": 0.03828401115079024 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.38596491228070173, |
|
|
"acc_stderr": 0.03733756969066164, |
|
|
"acc_norm": 0.38596491228070173, |
|
|
"acc_norm_stderr": 0.03733756969066164 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.2460220318237454, |
|
|
"mc1_stderr": 0.01507721920066259, |
|
|
"mc2": 0.40281312056107804, |
|
|
"mc2_stderr": 0.014575988959515906 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.5808997632202052, |
|
|
"acc_stderr": 0.01386732519221011 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.17968157695223655, |
|
|
"acc_stderr": 0.010575119964242239 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
