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--- |
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pretty_name: Evaluation run of deepseek-ai/deepseek-coder-7b-instruct-v1.5 |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [deepseek-ai/deepseek-coder-7b-instruct-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5)\ |
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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-7b-instruct-v1.5\"\ |
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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 2024-02-18T13:06:15.255477](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-7b-instruct-v1.5/blob/main/results_2024-02-18T13-06-15.255477.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\": 0.5022066458087141,\n\ |
|
|
\ \"acc_stderr\": 0.03488325466487485,\n \"acc_norm\": 0.507929969563447,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03564529922081144,\n \"mc1\": 0.3108935128518972,\n\ |
|
|
\ \"mc1_stderr\": 0.016203316673559696,\n \"mc2\": 0.4673350397051116,\n\ |
|
|
\ \"mc2_stderr\": 0.015209098662952647\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.46331058020477817,\n \"acc_stderr\": 0.014572000527756994,\n\ |
|
|
\ \"acc_norm\": 0.4854948805460751,\n \"acc_norm_stderr\": 0.014605241081370053\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5399322844054969,\n\ |
|
|
\ \"acc_stderr\": 0.004973842670559797,\n \"acc_norm\": 0.7234614618601872,\n\ |
|
|
\ \"acc_norm_stderr\": 0.00446372107131909\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ |
|
|
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4,\n \ |
|
|
\ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.4,\n \"\ |
|
|
acc_norm_stderr\": 0.04232073695151589\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.04068942293855797,\n \ |
|
|
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.04068942293855797\n },\n\ |
|
|
\ \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n \ |
|
|
\ \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.5207547169811321,\n \"acc_stderr\": 0.030746349975723456,\n\ |
|
|
\ \"acc_norm\": 0.5207547169811321,\n \"acc_norm_stderr\": 0.030746349975723456\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5069444444444444,\n\ |
|
|
\ \"acc_stderr\": 0.04180806750294938,\n \"acc_norm\": 0.5069444444444444,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04180806750294938\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\"\ |
|
|
: 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n\ |
|
|
\ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|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_medicine|5\": {\n \"acc\": 0.4624277456647399,\n\ |
|
|
\ \"acc_stderr\": 0.0380168510452446,\n \"acc_norm\": 0.4624277456647399,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0380168510452446\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.04533838195929775,\n\ |
|
|
\ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.04533838195929775\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \"acc_norm\": 0.67,\n\ |
|
|
\ \"acc_norm_stderr\": 0.047258156262526094\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.4595744680851064,\n \"acc_stderr\": 0.03257901482099834,\n\ |
|
|
\ \"acc_norm\": 0.4595744680851064,\n \"acc_norm_stderr\": 0.03257901482099834\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4298245614035088,\n\ |
|
|
\ \"acc_stderr\": 0.04657047260594962,\n \"acc_norm\": 0.4298245614035088,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04657047260594962\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.041042692118062316,\n\ |
|
|
\ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.041042692118062316\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.4497354497354497,\n \"acc_stderr\": 0.02562085704293665,\n \"\ |
|
|
acc_norm\": 0.4497354497354497,\n \"acc_norm_stderr\": 0.02562085704293665\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3968253968253968,\n\ |
|
|
\ \"acc_stderr\": 0.04375888492727062,\n \"acc_norm\": 0.3968253968253968,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04375888492727062\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952365,\n \ |
|
|
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952365\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ |
|
|
: 0.5387096774193548,\n \"acc_stderr\": 0.028358634859836935,\n \"\ |
|
|
acc_norm\": 0.5387096774193548,\n \"acc_norm_stderr\": 0.028358634859836935\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ |
|
|
: 0.4088669950738916,\n \"acc_stderr\": 0.034590588158832314,\n \"\ |
|
|
acc_norm\": 0.4088669950738916,\n \"acc_norm_stderr\": 0.034590588158832314\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\"\ |
|
|
: 0.57,\n \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.593939393939394,\n \"acc_stderr\": 0.03834816355401181,\n\ |
|
|
\ \"acc_norm\": 0.593939393939394,\n \"acc_norm_stderr\": 0.03834816355401181\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.6363636363636364,\n \"acc_stderr\": 0.03427308652999934,\n \"\ |
|
|
acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.03427308652999934\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.5854922279792746,\n \"acc_stderr\": 0.035553003195576686,\n\ |
|
|
\ \"acc_norm\": 0.5854922279792746,\n \"acc_norm_stderr\": 0.035553003195576686\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.49230769230769234,\n \"acc_stderr\": 0.025348006031534778,\n\ |
|
|
\ \"acc_norm\": 0.49230769230769234,\n \"acc_norm_stderr\": 0.025348006031534778\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.31851851851851853,\n \"acc_stderr\": 0.028406533090608463,\n \ |
|
|
\ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.028406533090608463\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.5462184873949579,\n \"acc_stderr\": 0.03233943468182088,\n \ |
|
|
\ \"acc_norm\": 0.5462184873949579,\n \"acc_norm_stderr\": 0.03233943468182088\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ |
|
|
acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.6844036697247706,\n \"acc_stderr\": 0.01992611751386967,\n \"\ |
|
|
acc_norm\": 0.6844036697247706,\n \"acc_norm_stderr\": 0.01992611751386967\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.5185185185185185,\n \"acc_stderr\": 0.0340763209385405,\n \"acc_norm\"\ |
|
|
: 0.5185185185185185,\n \"acc_norm_stderr\": 0.0340763209385405\n },\n\ |
|
|
\ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.5637254901960784,\n\ |
|
|
\ \"acc_stderr\": 0.03480693138457039,\n \"acc_norm\": 0.5637254901960784,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03480693138457039\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ |
|
|
: {\n \"acc\": 0.6455696202531646,\n \"acc_stderr\": 0.031137304297185815,\n\ |
|
|
\ \"acc_norm\": 0.6455696202531646,\n \"acc_norm_stderr\": 0.031137304297185815\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5201793721973094,\n\ |
|
|
\ \"acc_stderr\": 0.033530461674123005,\n \"acc_norm\": 0.5201793721973094,\n\ |
|
|
\ \"acc_norm_stderr\": 0.033530461674123005\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.5648854961832062,\n \"acc_stderr\": 0.043482080516448585,\n\ |
|
|
\ \"acc_norm\": 0.5648854961832062,\n \"acc_norm_stderr\": 0.043482080516448585\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.6033057851239669,\n \"acc_stderr\": 0.04465869780531009,\n \"\ |
|
|
acc_norm\": 0.6033057851239669,\n \"acc_norm_stderr\": 0.04465869780531009\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5555555555555556,\n\ |
|
|
\ \"acc_stderr\": 0.04803752235190193,\n \"acc_norm\": 0.5555555555555556,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04803752235190193\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.6012269938650306,\n \"acc_stderr\": 0.038470214204560246,\n\ |
|
|
\ \"acc_norm\": 0.6012269938650306,\n \"acc_norm_stderr\": 0.038470214204560246\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.39285714285714285,\n\ |
|
|
\ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.39285714285714285,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.6601941747572816,\n \"acc_stderr\": 0.046897659372781335,\n\ |
|
|
\ \"acc_norm\": 0.6601941747572816,\n \"acc_norm_stderr\": 0.046897659372781335\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7991452991452992,\n\ |
|
|
\ \"acc_stderr\": 0.02624677294689049,\n \"acc_norm\": 0.7991452991452992,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02624677294689049\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\": 0.611749680715198,\n\ |
|
|
\ \"acc_stderr\": 0.01742767329554434,\n \"acc_norm\": 0.611749680715198,\n\ |
|
|
\ \"acc_norm_stderr\": 0.01742767329554434\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.5086705202312138,\n \"acc_stderr\": 0.02691504735536981,\n\ |
|
|
\ \"acc_norm\": 0.5086705202312138,\n \"acc_norm_stderr\": 0.02691504735536981\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.358659217877095,\n\ |
|
|
\ \"acc_stderr\": 0.016040454426164464,\n \"acc_norm\": 0.358659217877095,\n\ |
|
|
\ \"acc_norm_stderr\": 0.016040454426164464\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.5163398692810458,\n \"acc_stderr\": 0.02861462475280545,\n\ |
|
|
\ \"acc_norm\": 0.5163398692810458,\n \"acc_norm_stderr\": 0.02861462475280545\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5080385852090032,\n\ |
|
|
\ \"acc_stderr\": 0.028394421370984545,\n \"acc_norm\": 0.5080385852090032,\n\ |
|
|
\ \"acc_norm_stderr\": 0.028394421370984545\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.46296296296296297,\n \"acc_stderr\": 0.027744313443376536,\n\ |
|
|
\ \"acc_norm\": 0.46296296296296297,\n \"acc_norm_stderr\": 0.027744313443376536\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.35815602836879434,\n \"acc_stderr\": 0.02860208586275942,\n \ |
|
|
\ \"acc_norm\": 0.35815602836879434,\n \"acc_norm_stderr\": 0.02860208586275942\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.35919165580182527,\n\ |
|
|
\ \"acc_stderr\": 0.012253386187584243,\n \"acc_norm\": 0.35919165580182527,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012253386187584243\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.40808823529411764,\n \"acc_stderr\": 0.029855261393483924,\n\ |
|
|
\ \"acc_norm\": 0.40808823529411764,\n \"acc_norm_stderr\": 0.029855261393483924\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.4738562091503268,\n \"acc_stderr\": 0.020200164564804588,\n \ |
|
|
\ \"acc_norm\": 0.4738562091503268,\n \"acc_norm_stderr\": 0.020200164564804588\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5363636363636364,\n\ |
|
|
\ \"acc_stderr\": 0.04776449162396197,\n \"acc_norm\": 0.5363636363636364,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04776449162396197\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.5591836734693878,\n \"acc_stderr\": 0.03178419114175363,\n\ |
|
|
\ \"acc_norm\": 0.5591836734693878,\n \"acc_norm_stderr\": 0.03178419114175363\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6616915422885572,\n\ |
|
|
\ \"acc_stderr\": 0.033455630703391914,\n \"acc_norm\": 0.6616915422885572,\n\ |
|
|
\ \"acc_norm_stderr\": 0.033455630703391914\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252606,\n \ |
|
|
\ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.04725815626252606\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.40963855421686746,\n\ |
|
|
\ \"acc_stderr\": 0.03828401115079023,\n \"acc_norm\": 0.40963855421686746,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03828401115079023\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.5555555555555556,\n \"acc_stderr\": 0.03811079669833531,\n\ |
|
|
\ \"acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.03811079669833531\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3108935128518972,\n\ |
|
|
\ \"mc1_stderr\": 0.016203316673559696,\n \"mc2\": 0.4673350397051116,\n\ |
|
|
\ \"mc2_stderr\": 0.015209098662952647\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.6685082872928176,\n \"acc_stderr\": 0.013230397198964659\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.20394238059135708,\n \ |
|
|
\ \"acc_stderr\": 0.01109860228489918\n }\n}\n```" |
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|
repo_url: https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5 |
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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_02_18T13_06_15.255477 |
|
|
path: |
|
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- '**/details_harness|arc:challenge|25_2024-02-18T13-06-15.255477.parquet' |
|
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
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- split: 2024_02_18T13_06_15.255477 |
|
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path: |
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- '**/details_harness|gsm8k|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|gsm8k|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hellaswag_10 |
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- '**/details_harness|hellaswag|10_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hellaswag|10_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T13-06-15.255477.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-18T13-06-15.255477.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: 2024_02_18T13_06_15.255477 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-18T13-06-15.255477.parquet' |
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-18T13-06-15.255477.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_18T13_06_15.255477 |
|
|
path: |
|
|
- results_2024-02-18T13-06-15.255477.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-18T13-06-15.255477.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of deepseek-ai/deepseek-coder-7b-instruct-v1.5 |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [deepseek-ai/deepseek-coder-7b-instruct-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5) 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. |
|
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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-7b-instruct-v1.5", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-02-18T13:06:15.255477](https://huggingface.co/datasets/open-llm-leaderboard/details_deepseek-ai__deepseek-coder-7b-instruct-v1.5/blob/main/results_2024-02-18T13-06-15.255477.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": 0.5022066458087141, |
|
|
"acc_stderr": 0.03488325466487485, |
|
|
"acc_norm": 0.507929969563447, |
|
|
"acc_norm_stderr": 0.03564529922081144, |
|
|
"mc1": 0.3108935128518972, |
|
|
"mc1_stderr": 0.016203316673559696, |
|
|
"mc2": 0.4673350397051116, |
|
|
"mc2_stderr": 0.015209098662952647 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.46331058020477817, |
|
|
"acc_stderr": 0.014572000527756994, |
|
|
"acc_norm": 0.4854948805460751, |
|
|
"acc_norm_stderr": 0.014605241081370053 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.5399322844054969, |
|
|
"acc_stderr": 0.004973842670559797, |
|
|
"acc_norm": 0.7234614618601872, |
|
|
"acc_norm_stderr": 0.00446372107131909 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.29, |
|
|
"acc_stderr": 0.045604802157206845, |
|
|
"acc_norm": 0.29, |
|
|
"acc_norm_stderr": 0.045604802157206845 |
|
|
}, |
|
|
"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": 0.5, |
|
|
"acc_stderr": 0.04068942293855797, |
|
|
"acc_norm": 0.5, |
|
|
"acc_norm_stderr": 0.04068942293855797 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.57, |
|
|
"acc_stderr": 0.04975698519562428, |
|
|
"acc_norm": 0.57, |
|
|
"acc_norm_stderr": 0.04975698519562428 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.5207547169811321, |
|
|
"acc_stderr": 0.030746349975723456, |
|
|
"acc_norm": 0.5207547169811321, |
|
|
"acc_norm_stderr": 0.030746349975723456 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.5069444444444444, |
|
|
"acc_stderr": 0.04180806750294938, |
|
|
"acc_norm": 0.5069444444444444, |
|
|
"acc_norm_stderr": 0.04180806750294938 |
|
|
}, |
|
|
"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": 0.49, |
|
|
"acc_stderr": 0.05024183937956912, |
|
|
"acc_norm": 0.49, |
|
|
"acc_norm_stderr": 0.05024183937956912 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.43, |
|
|
"acc_stderr": 0.049756985195624284, |
|
|
"acc_norm": 0.43, |
|
|
"acc_norm_stderr": 0.049756985195624284 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.4624277456647399, |
|
|
"acc_stderr": 0.0380168510452446, |
|
|
"acc_norm": 0.4624277456647399, |
|
|
"acc_norm_stderr": 0.0380168510452446 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.29411764705882354, |
|
|
"acc_stderr": 0.04533838195929775, |
|
|
"acc_norm": 0.29411764705882354, |
|
|
"acc_norm_stderr": 0.04533838195929775 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.67, |
|
|
"acc_stderr": 0.047258156262526094, |
|
|
"acc_norm": 0.67, |
|
|
"acc_norm_stderr": 0.047258156262526094 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.4595744680851064, |
|
|
"acc_stderr": 0.03257901482099834, |
|
|
"acc_norm": 0.4595744680851064, |
|
|
"acc_norm_stderr": 0.03257901482099834 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.4298245614035088, |
|
|
"acc_stderr": 0.04657047260594962, |
|
|
"acc_norm": 0.4298245614035088, |
|
|
"acc_norm_stderr": 0.04657047260594962 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5862068965517241, |
|
|
"acc_stderr": 0.041042692118062316, |
|
|
"acc_norm": 0.5862068965517241, |
|
|
"acc_norm_stderr": 0.041042692118062316 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.4497354497354497, |
|
|
"acc_stderr": 0.02562085704293665, |
|
|
"acc_norm": 0.4497354497354497, |
|
|
"acc_norm_stderr": 0.02562085704293665 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.3968253968253968, |
|
|
"acc_stderr": 0.04375888492727062, |
|
|
"acc_norm": 0.3968253968253968, |
|
|
"acc_norm_stderr": 0.04375888492727062 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.34, |
|
|
"acc_stderr": 0.047609522856952365, |
|
|
"acc_norm": 0.34, |
|
|
"acc_norm_stderr": 0.047609522856952365 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.5387096774193548, |
|
|
"acc_stderr": 0.028358634859836935, |
|
|
"acc_norm": 0.5387096774193548, |
|
|
"acc_norm_stderr": 0.028358634859836935 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.4088669950738916, |
|
|
"acc_stderr": 0.034590588158832314, |
|
|
"acc_norm": 0.4088669950738916, |
|
|
"acc_norm_stderr": 0.034590588158832314 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.57, |
|
|
"acc_stderr": 0.04975698519562428, |
|
|
"acc_norm": 0.57, |
|
|
"acc_norm_stderr": 0.04975698519562428 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.593939393939394, |
|
|
"acc_stderr": 0.03834816355401181, |
|
|
"acc_norm": 0.593939393939394, |
|
|
"acc_norm_stderr": 0.03834816355401181 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.6363636363636364, |
|
|
"acc_stderr": 0.03427308652999934, |
|
|
"acc_norm": 0.6363636363636364, |
|
|
"acc_norm_stderr": 0.03427308652999934 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.5854922279792746, |
|
|
"acc_stderr": 0.035553003195576686, |
|
|
"acc_norm": 0.5854922279792746, |
|
|
"acc_norm_stderr": 0.035553003195576686 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.49230769230769234, |
|
|
"acc_stderr": 0.025348006031534778, |
|
|
"acc_norm": 0.49230769230769234, |
|
|
"acc_norm_stderr": 0.025348006031534778 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.31851851851851853, |
|
|
"acc_stderr": 0.028406533090608463, |
|
|
"acc_norm": 0.31851851851851853, |
|
|
"acc_norm_stderr": 0.028406533090608463 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.5462184873949579, |
|
|
"acc_stderr": 0.03233943468182088, |
|
|
"acc_norm": 0.5462184873949579, |
|
|
"acc_norm_stderr": 0.03233943468182088 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.3443708609271523, |
|
|
"acc_stderr": 0.038796870240733264, |
|
|
"acc_norm": 0.3443708609271523, |
|
|
"acc_norm_stderr": 0.038796870240733264 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.6844036697247706, |
|
|
"acc_stderr": 0.01992611751386967, |
|
|
"acc_norm": 0.6844036697247706, |
|
|
"acc_norm_stderr": 0.01992611751386967 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.5185185185185185, |
|
|
"acc_stderr": 0.0340763209385405, |
|
|
"acc_norm": 0.5185185185185185, |
|
|
"acc_norm_stderr": 0.0340763209385405 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.5637254901960784, |
|
|
"acc_stderr": 0.03480693138457039, |
|
|
"acc_norm": 0.5637254901960784, |
|
|
"acc_norm_stderr": 0.03480693138457039 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.6455696202531646, |
|
|
"acc_stderr": 0.031137304297185815, |
|
|
"acc_norm": 0.6455696202531646, |
|
|
"acc_norm_stderr": 0.031137304297185815 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.5201793721973094, |
|
|
"acc_stderr": 0.033530461674123005, |
|
|
"acc_norm": 0.5201793721973094, |
|
|
"acc_norm_stderr": 0.033530461674123005 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.5648854961832062, |
|
|
"acc_stderr": 0.043482080516448585, |
|
|
"acc_norm": 0.5648854961832062, |
|
|
"acc_norm_stderr": 0.043482080516448585 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.6033057851239669, |
|
|
"acc_stderr": 0.04465869780531009, |
|
|
"acc_norm": 0.6033057851239669, |
|
|
"acc_norm_stderr": 0.04465869780531009 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.5555555555555556, |
|
|
"acc_stderr": 0.04803752235190193, |
|
|
"acc_norm": 0.5555555555555556, |
|
|
"acc_norm_stderr": 0.04803752235190193 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.6012269938650306, |
|
|
"acc_stderr": 0.038470214204560246, |
|
|
"acc_norm": 0.6012269938650306, |
|
|
"acc_norm_stderr": 0.038470214204560246 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.39285714285714285, |
|
|
"acc_stderr": 0.04635550135609976, |
|
|
"acc_norm": 0.39285714285714285, |
|
|
"acc_norm_stderr": 0.04635550135609976 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.6601941747572816, |
|
|
"acc_stderr": 0.046897659372781335, |
|
|
"acc_norm": 0.6601941747572816, |
|
|
"acc_norm_stderr": 0.046897659372781335 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.7991452991452992, |
|
|
"acc_stderr": 0.02624677294689049, |
|
|
"acc_norm": 0.7991452991452992, |
|
|
"acc_norm_stderr": 0.02624677294689049 |
|
|
}, |
|
|
"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": 0.611749680715198, |
|
|
"acc_stderr": 0.01742767329554434, |
|
|
"acc_norm": 0.611749680715198, |
|
|
"acc_norm_stderr": 0.01742767329554434 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.5086705202312138, |
|
|
"acc_stderr": 0.02691504735536981, |
|
|
"acc_norm": 0.5086705202312138, |
|
|
"acc_norm_stderr": 0.02691504735536981 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.358659217877095, |
|
|
"acc_stderr": 0.016040454426164464, |
|
|
"acc_norm": 0.358659217877095, |
|
|
"acc_norm_stderr": 0.016040454426164464 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.5163398692810458, |
|
|
"acc_stderr": 0.02861462475280545, |
|
|
"acc_norm": 0.5163398692810458, |
|
|
"acc_norm_stderr": 0.02861462475280545 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.5080385852090032, |
|
|
"acc_stderr": 0.028394421370984545, |
|
|
"acc_norm": 0.5080385852090032, |
|
|
"acc_norm_stderr": 0.028394421370984545 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.46296296296296297, |
|
|
"acc_stderr": 0.027744313443376536, |
|
|
"acc_norm": 0.46296296296296297, |
|
|
"acc_norm_stderr": 0.027744313443376536 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.35815602836879434, |
|
|
"acc_stderr": 0.02860208586275942, |
|
|
"acc_norm": 0.35815602836879434, |
|
|
"acc_norm_stderr": 0.02860208586275942 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.35919165580182527, |
|
|
"acc_stderr": 0.012253386187584243, |
|
|
"acc_norm": 0.35919165580182527, |
|
|
"acc_norm_stderr": 0.012253386187584243 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.40808823529411764, |
|
|
"acc_stderr": 0.029855261393483924, |
|
|
"acc_norm": 0.40808823529411764, |
|
|
"acc_norm_stderr": 0.029855261393483924 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.4738562091503268, |
|
|
"acc_stderr": 0.020200164564804588, |
|
|
"acc_norm": 0.4738562091503268, |
|
|
"acc_norm_stderr": 0.020200164564804588 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.5363636363636364, |
|
|
"acc_stderr": 0.04776449162396197, |
|
|
"acc_norm": 0.5363636363636364, |
|
|
"acc_norm_stderr": 0.04776449162396197 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.5591836734693878, |
|
|
"acc_stderr": 0.03178419114175363, |
|
|
"acc_norm": 0.5591836734693878, |
|
|
"acc_norm_stderr": 0.03178419114175363 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.6616915422885572, |
|
|
"acc_stderr": 0.033455630703391914, |
|
|
"acc_norm": 0.6616915422885572, |
|
|
"acc_norm_stderr": 0.033455630703391914 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.67, |
|
|
"acc_stderr": 0.04725815626252606, |
|
|
"acc_norm": 0.67, |
|
|
"acc_norm_stderr": 0.04725815626252606 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.40963855421686746, |
|
|
"acc_stderr": 0.03828401115079023, |
|
|
"acc_norm": 0.40963855421686746, |
|
|
"acc_norm_stderr": 0.03828401115079023 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.5555555555555556, |
|
|
"acc_stderr": 0.03811079669833531, |
|
|
"acc_norm": 0.5555555555555556, |
|
|
"acc_norm_stderr": 0.03811079669833531 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.3108935128518972, |
|
|
"mc1_stderr": 0.016203316673559696, |
|
|
"mc2": 0.4673350397051116, |
|
|
"mc2_stderr": 0.015209098662952647 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.6685082872928176, |
|
|
"acc_stderr": 0.013230397198964659 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.20394238059135708, |
|
|
"acc_stderr": 0.01109860228489918 |
|
|
} |
|
|
} |
|
|
``` |
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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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- **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] |
