|
|
--- |
|
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pretty_name: Evaluation run of pansophic/new_model_test |
|
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [pansophic/new_model_test](https://huggingface.co/pansophic/new_model_test) on\ |
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\ 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_pansophic__new_model_test\"\ |
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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 2024-02-29T18:43:28.582907](https://huggingface.co/datasets/open-llm-leaderboard/details_pansophic__new_model_test/blob/main/results_2024-02-29T18-43-28.582907.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\": 0.4639971505070735,\n\ |
|
|
\ \"acc_stderr\": 0.034656622817217424,\n \"acc_norm\": 0.4660219805936662,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03536970907083775,\n \"mc1\": 0.31334149326805383,\n\ |
|
|
\ \"mc1_stderr\": 0.016238065069059615,\n \"mc2\": 0.5124518749351841,\n\ |
|
|
\ \"mc2_stderr\": 0.014906275227740079\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.49402730375426623,\n \"acc_stderr\": 0.014610348300255795,\n\ |
|
|
\ \"acc_norm\": 0.5255972696245734,\n \"acc_norm_stderr\": 0.014592230885298962\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5337582154949213,\n\ |
|
|
\ \"acc_stderr\": 0.004978395540514382,\n \"acc_norm\": 0.7365066719776937,\n\ |
|
|
\ \"acc_norm_stderr\": 0.004396273173717462\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ |
|
|
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4148148148148148,\n\ |
|
|
\ \"acc_stderr\": 0.042561937679014075,\n \"acc_norm\": 0.4148148148148148,\n\ |
|
|
\ \"acc_norm_stderr\": 0.042561937679014075\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.45394736842105265,\n \"acc_stderr\": 0.04051646342874142,\n\ |
|
|
\ \"acc_norm\": 0.45394736842105265,\n \"acc_norm_stderr\": 0.04051646342874142\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.49,\n\ |
|
|
\ \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\": 0.49,\n \ |
|
|
\ \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.4981132075471698,\n \"acc_stderr\": 0.030772653642075664,\n\ |
|
|
\ \"acc_norm\": 0.4981132075471698,\n \"acc_norm_stderr\": 0.030772653642075664\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\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \ |
|
|
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ |
|
|
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.41040462427745666,\n\ |
|
|
\ \"acc_stderr\": 0.03750757044895537,\n \"acc_norm\": 0.41040462427745666,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03750757044895537\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171452,\n\ |
|
|
\ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171452\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n\ |
|
|
\ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.44680851063829785,\n \"acc_stderr\": 0.0325005368436584,\n\ |
|
|
\ \"acc_norm\": 0.44680851063829785,\n \"acc_norm_stderr\": 0.0325005368436584\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3157894736842105,\n\ |
|
|
\ \"acc_stderr\": 0.04372748290278007,\n \"acc_norm\": 0.3157894736842105,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04372748290278007\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5103448275862069,\n \"acc_stderr\": 0.04165774775728763,\n\ |
|
|
\ \"acc_norm\": 0.5103448275862069,\n \"acc_norm_stderr\": 0.04165774775728763\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.328042328042328,\n \"acc_stderr\": 0.02418049716437689,\n \"acc_norm\"\ |
|
|
: 0.328042328042328,\n \"acc_norm_stderr\": 0.02418049716437689\n },\n\ |
|
|
\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.373015873015873,\n\ |
|
|
\ \"acc_stderr\": 0.04325506042017086,\n \"acc_norm\": 0.373015873015873,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04325506042017086\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\"\ |
|
|
: 0.5258064516129032,\n \"acc_stderr\": 0.02840609505765332,\n \"\ |
|
|
acc_norm\": 0.5258064516129032,\n \"acc_norm_stderr\": 0.02840609505765332\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ |
|
|
: 0.458128078817734,\n \"acc_stderr\": 0.03505630140785741,\n \"acc_norm\"\ |
|
|
: 0.458128078817734,\n \"acc_norm_stderr\": 0.03505630140785741\n },\n\ |
|
|
\ \"harness|hendrycksTest-high_school_computer_science|5\": {\n \"acc\"\ |
|
|
: 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \"\ |
|
|
acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.6181818181818182,\n \"acc_stderr\": 0.03793713171165635,\n\ |
|
|
\ \"acc_norm\": 0.6181818181818182,\n \"acc_norm_stderr\": 0.03793713171165635\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.5757575757575758,\n \"acc_stderr\": 0.035212249088415845,\n \"\ |
|
|
acc_norm\": 0.5757575757575758,\n \"acc_norm_stderr\": 0.035212249088415845\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.6269430051813472,\n \"acc_stderr\": 0.03490205592048574,\n\ |
|
|
\ \"acc_norm\": 0.6269430051813472,\n \"acc_norm_stderr\": 0.03490205592048574\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.40512820512820513,\n \"acc_stderr\": 0.024890471769938145,\n\ |
|
|
\ \"acc_norm\": 0.40512820512820513,\n \"acc_norm_stderr\": 0.024890471769938145\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.2962962962962963,\n \"acc_stderr\": 0.02784081149587193,\n \ |
|
|
\ \"acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.02784081149587193\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.03214536859788639,\n\ |
|
|
\ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.03214536859788639\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.304635761589404,\n \"acc_stderr\": 0.03757949922943342,\n \"acc_norm\"\ |
|
|
: 0.304635761589404,\n \"acc_norm_stderr\": 0.03757949922943342\n },\n\ |
|
|
\ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.6128440366972477,\n\ |
|
|
\ \"acc_stderr\": 0.02088423199264345,\n \"acc_norm\": 0.6128440366972477,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02088423199264345\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ |
|
|
: {\n \"acc\": 0.30092592592592593,\n \"acc_stderr\": 0.031280390843298804,\n\ |
|
|
\ \"acc_norm\": 0.30092592592592593,\n \"acc_norm_stderr\": 0.031280390843298804\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.553921568627451,\n \"acc_stderr\": 0.03488845451304974,\n \"acc_norm\"\ |
|
|
: 0.553921568627451,\n \"acc_norm_stderr\": 0.03488845451304974\n },\n\ |
|
|
\ \"harness|hendrycksTest-high_school_world_history|5\": {\n \"acc\":\ |
|
|
\ 0.6118143459915611,\n \"acc_stderr\": 0.031722950043323296,\n \"\ |
|
|
acc_norm\": 0.6118143459915611,\n \"acc_norm_stderr\": 0.031722950043323296\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5067264573991032,\n\ |
|
|
\ \"acc_stderr\": 0.03355476596234353,\n \"acc_norm\": 0.5067264573991032,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03355476596234353\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.4122137404580153,\n \"acc_stderr\": 0.04317171194870255,\n\ |
|
|
\ \"acc_norm\": 0.4122137404580153,\n \"acc_norm_stderr\": 0.04317171194870255\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.5867768595041323,\n \"acc_stderr\": 0.04495087843548408,\n \"\ |
|
|
acc_norm\": 0.5867768595041323,\n \"acc_norm_stderr\": 0.04495087843548408\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5462962962962963,\n\ |
|
|
\ \"acc_stderr\": 0.04812917324536823,\n \"acc_norm\": 0.5462962962962963,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04812917324536823\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.5214723926380368,\n \"acc_stderr\": 0.0392474687675113,\n\ |
|
|
\ \"acc_norm\": 0.5214723926380368,\n \"acc_norm_stderr\": 0.0392474687675113\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\": 0.5436893203883495,\n \"acc_stderr\": 0.049318019942204146,\n\ |
|
|
\ \"acc_norm\": 0.5436893203883495,\n \"acc_norm_stderr\": 0.049318019942204146\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7350427350427351,\n\ |
|
|
\ \"acc_stderr\": 0.028911208802749472,\n \"acc_norm\": 0.7350427350427351,\n\ |
|
|
\ \"acc_norm_stderr\": 0.028911208802749472\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \ |
|
|
\ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6015325670498084,\n\ |
|
|
\ \"acc_stderr\": 0.017507438602777415,\n \"acc_norm\": 0.6015325670498084,\n\ |
|
|
\ \"acc_norm_stderr\": 0.017507438602777415\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.4508670520231214,\n \"acc_stderr\": 0.02678881193156276,\n\ |
|
|
\ \"acc_norm\": 0.4508670520231214,\n \"acc_norm_stderr\": 0.02678881193156276\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24022346368715083,\n\ |
|
|
\ \"acc_stderr\": 0.014288343803925308,\n \"acc_norm\": 0.24022346368715083,\n\ |
|
|
\ \"acc_norm_stderr\": 0.014288343803925308\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.028491993586171563,\n\ |
|
|
\ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.028491993586171563\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.48231511254019294,\n\ |
|
|
\ \"acc_stderr\": 0.02838032284907713,\n \"acc_norm\": 0.48231511254019294,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02838032284907713\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.49691358024691357,\n \"acc_stderr\": 0.027820214158594377,\n\ |
|
|
\ \"acc_norm\": 0.49691358024691357,\n \"acc_norm_stderr\": 0.027820214158594377\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.33687943262411346,\n \"acc_stderr\": 0.02819553487396673,\n \ |
|
|
\ \"acc_norm\": 0.33687943262411346,\n \"acc_norm_stderr\": 0.02819553487396673\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3539765319426336,\n\ |
|
|
\ \"acc_stderr\": 0.012213504731731644,\n \"acc_norm\": 0.3539765319426336,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012213504731731644\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.3602941176470588,\n \"acc_stderr\": 0.029163128570670733,\n\ |
|
|
\ \"acc_norm\": 0.3602941176470588,\n \"acc_norm_stderr\": 0.029163128570670733\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.4444444444444444,\n \"acc_stderr\": 0.020102583895887184,\n \ |
|
|
\ \"acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.020102583895887184\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5545454545454546,\n\ |
|
|
\ \"acc_stderr\": 0.047605488214603246,\n \"acc_norm\": 0.5545454545454546,\n\ |
|
|
\ \"acc_norm_stderr\": 0.047605488214603246\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.4489795918367347,\n \"acc_stderr\": 0.03184213866687579,\n\ |
|
|
\ \"acc_norm\": 0.4489795918367347,\n \"acc_norm_stderr\": 0.03184213866687579\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6218905472636815,\n\ |
|
|
\ \"acc_stderr\": 0.034288678487786564,\n \"acc_norm\": 0.6218905472636815,\n\ |
|
|
\ \"acc_norm_stderr\": 0.034288678487786564\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ |
|
|
\ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4036144578313253,\n\ |
|
|
\ \"acc_stderr\": 0.038194861407583984,\n \"acc_norm\": 0.4036144578313253,\n\ |
|
|
\ \"acc_norm_stderr\": 0.038194861407583984\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.6081871345029239,\n \"acc_stderr\": 0.037439798259263996,\n\ |
|
|
\ \"acc_norm\": 0.6081871345029239,\n \"acc_norm_stderr\": 0.037439798259263996\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.31334149326805383,\n\ |
|
|
\ \"mc1_stderr\": 0.016238065069059615,\n \"mc2\": 0.5124518749351841,\n\ |
|
|
\ \"mc2_stderr\": 0.014906275227740079\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.6637726913970008,\n \"acc_stderr\": 0.013277286593993454\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.37907505686125853,\n \ |
|
|
\ \"acc_stderr\": 0.013363630295088351\n }\n}\n```" |
|
|
repo_url: https://huggingface.co/pansophic/new_model_test |
|
|
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard |
|
|
point_of_contact: [email protected] |
|
|
configs: |
|
|
- config_name: harness_arc_challenge_25 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|gsm8k|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|gsm8k|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hellaswag_10 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-29T18-43-28.582907.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-29T18-43-28.582907.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-29T18-43-28.582907.parquet' |
|
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- '**/details_harness|hendrycksTest-virology|5_2024-02-29T18-43-28.582907.parquet' |
|
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-29T18-43-28.582907.parquet' |
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-29T18-43-28.582907.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-29T18-43-28.582907.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-29T18-43-28.582907.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-29T18-43-28.582907.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_29T18_43_28.582907 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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data_files: |
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- split: 2024_02_29T18_43_28.582907 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-29T18-43-28.582907.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-29T18-43-28.582907.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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data_files: |
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|
- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-29T18-43-28.582907.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_29T18_43_28.582907 |
|
|
path: |
|
|
- results_2024-02-29T18-43-28.582907.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-29T18-43-28.582907.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of pansophic/new_model_test |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [pansophic/new_model_test](https://huggingface.co/pansophic/new_model_test) 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_pansophic__new_model_test", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-02-29T18:43:28.582907](https://huggingface.co/datasets/open-llm-leaderboard/details_pansophic__new_model_test/blob/main/results_2024-02-29T18-43-28.582907.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": 0.4639971505070735, |
|
|
"acc_stderr": 0.034656622817217424, |
|
|
"acc_norm": 0.4660219805936662, |
|
|
"acc_norm_stderr": 0.03536970907083775, |
|
|
"mc1": 0.31334149326805383, |
|
|
"mc1_stderr": 0.016238065069059615, |
|
|
"mc2": 0.5124518749351841, |
|
|
"mc2_stderr": 0.014906275227740079 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.49402730375426623, |
|
|
"acc_stderr": 0.014610348300255795, |
|
|
"acc_norm": 0.5255972696245734, |
|
|
"acc_norm_stderr": 0.014592230885298962 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.5337582154949213, |
|
|
"acc_stderr": 0.004978395540514382, |
|
|
"acc_norm": 0.7365066719776937, |
|
|
"acc_norm_stderr": 0.004396273173717462 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.25, |
|
|
"acc_stderr": 0.04351941398892446, |
|
|
"acc_norm": 0.25, |
|
|
"acc_norm_stderr": 0.04351941398892446 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.4148148148148148, |
|
|
"acc_stderr": 0.042561937679014075, |
|
|
"acc_norm": 0.4148148148148148, |
|
|
"acc_norm_stderr": 0.042561937679014075 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.45394736842105265, |
|
|
"acc_stderr": 0.04051646342874142, |
|
|
"acc_norm": 0.45394736842105265, |
|
|
"acc_norm_stderr": 0.04051646342874142 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.49, |
|
|
"acc_stderr": 0.05024183937956911, |
|
|
"acc_norm": 0.49, |
|
|
"acc_norm_stderr": 0.05024183937956911 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.4981132075471698, |
|
|
"acc_stderr": 0.030772653642075664, |
|
|
"acc_norm": 0.4981132075471698, |
|
|
"acc_norm_stderr": 0.030772653642075664 |
|
|
}, |
|
|
"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": 0.38, |
|
|
"acc_stderr": 0.04878317312145633, |
|
|
"acc_norm": 0.38, |
|
|
"acc_norm_stderr": 0.04878317312145633 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.33, |
|
|
"acc_stderr": 0.047258156262526045, |
|
|
"acc_norm": 0.33, |
|
|
"acc_norm_stderr": 0.047258156262526045 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.3, |
|
|
"acc_stderr": 0.046056618647183814, |
|
|
"acc_norm": 0.3, |
|
|
"acc_norm_stderr": 0.046056618647183814 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.41040462427745666, |
|
|
"acc_stderr": 0.03750757044895537, |
|
|
"acc_norm": 0.41040462427745666, |
|
|
"acc_norm_stderr": 0.03750757044895537 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.23529411764705882, |
|
|
"acc_stderr": 0.04220773659171452, |
|
|
"acc_norm": 0.23529411764705882, |
|
|
"acc_norm_stderr": 0.04220773659171452 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.51, |
|
|
"acc_stderr": 0.05024183937956912, |
|
|
"acc_norm": 0.51, |
|
|
"acc_norm_stderr": 0.05024183937956912 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.44680851063829785, |
|
|
"acc_stderr": 0.0325005368436584, |
|
|
"acc_norm": 0.44680851063829785, |
|
|
"acc_norm_stderr": 0.0325005368436584 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.3157894736842105, |
|
|
"acc_stderr": 0.04372748290278007, |
|
|
"acc_norm": 0.3157894736842105, |
|
|
"acc_norm_stderr": 0.04372748290278007 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5103448275862069, |
|
|
"acc_stderr": 0.04165774775728763, |
|
|
"acc_norm": 0.5103448275862069, |
|
|
"acc_norm_stderr": 0.04165774775728763 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.328042328042328, |
|
|
"acc_stderr": 0.02418049716437689, |
|
|
"acc_norm": 0.328042328042328, |
|
|
"acc_norm_stderr": 0.02418049716437689 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.373015873015873, |
|
|
"acc_stderr": 0.04325506042017086, |
|
|
"acc_norm": 0.373015873015873, |
|
|
"acc_norm_stderr": 0.04325506042017086 |
|
|
}, |
|
|
"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": 0.5258064516129032, |
|
|
"acc_stderr": 0.02840609505765332, |
|
|
"acc_norm": 0.5258064516129032, |
|
|
"acc_norm_stderr": 0.02840609505765332 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.458128078817734, |
|
|
"acc_stderr": 0.03505630140785741, |
|
|
"acc_norm": 0.458128078817734, |
|
|
"acc_norm_stderr": 0.03505630140785741 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.45, |
|
|
"acc_stderr": 0.05, |
|
|
"acc_norm": 0.45, |
|
|
"acc_norm_stderr": 0.05 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.6181818181818182, |
|
|
"acc_stderr": 0.03793713171165635, |
|
|
"acc_norm": 0.6181818181818182, |
|
|
"acc_norm_stderr": 0.03793713171165635 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.5757575757575758, |
|
|
"acc_stderr": 0.035212249088415845, |
|
|
"acc_norm": 0.5757575757575758, |
|
|
"acc_norm_stderr": 0.035212249088415845 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.6269430051813472, |
|
|
"acc_stderr": 0.03490205592048574, |
|
|
"acc_norm": 0.6269430051813472, |
|
|
"acc_norm_stderr": 0.03490205592048574 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.40512820512820513, |
|
|
"acc_stderr": 0.024890471769938145, |
|
|
"acc_norm": 0.40512820512820513, |
|
|
"acc_norm_stderr": 0.024890471769938145 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.2962962962962963, |
|
|
"acc_stderr": 0.02784081149587193, |
|
|
"acc_norm": 0.2962962962962963, |
|
|
"acc_norm_stderr": 0.02784081149587193 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.42857142857142855, |
|
|
"acc_stderr": 0.03214536859788639, |
|
|
"acc_norm": 0.42857142857142855, |
|
|
"acc_norm_stderr": 0.03214536859788639 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.304635761589404, |
|
|
"acc_stderr": 0.03757949922943342, |
|
|
"acc_norm": 0.304635761589404, |
|
|
"acc_norm_stderr": 0.03757949922943342 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.6128440366972477, |
|
|
"acc_stderr": 0.02088423199264345, |
|
|
"acc_norm": 0.6128440366972477, |
|
|
"acc_norm_stderr": 0.02088423199264345 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.30092592592592593, |
|
|
"acc_stderr": 0.031280390843298804, |
|
|
"acc_norm": 0.30092592592592593, |
|
|
"acc_norm_stderr": 0.031280390843298804 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.553921568627451, |
|
|
"acc_stderr": 0.03488845451304974, |
|
|
"acc_norm": 0.553921568627451, |
|
|
"acc_norm_stderr": 0.03488845451304974 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.6118143459915611, |
|
|
"acc_stderr": 0.031722950043323296, |
|
|
"acc_norm": 0.6118143459915611, |
|
|
"acc_norm_stderr": 0.031722950043323296 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.5067264573991032, |
|
|
"acc_stderr": 0.03355476596234353, |
|
|
"acc_norm": 0.5067264573991032, |
|
|
"acc_norm_stderr": 0.03355476596234353 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.4122137404580153, |
|
|
"acc_stderr": 0.04317171194870255, |
|
|
"acc_norm": 0.4122137404580153, |
|
|
"acc_norm_stderr": 0.04317171194870255 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.5867768595041323, |
|
|
"acc_stderr": 0.04495087843548408, |
|
|
"acc_norm": 0.5867768595041323, |
|
|
"acc_norm_stderr": 0.04495087843548408 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.5462962962962963, |
|
|
"acc_stderr": 0.04812917324536823, |
|
|
"acc_norm": 0.5462962962962963, |
|
|
"acc_norm_stderr": 0.04812917324536823 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.5214723926380368, |
|
|
"acc_stderr": 0.0392474687675113, |
|
|
"acc_norm": 0.5214723926380368, |
|
|
"acc_norm_stderr": 0.0392474687675113 |
|
|
}, |
|
|
"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": 0.5436893203883495, |
|
|
"acc_stderr": 0.049318019942204146, |
|
|
"acc_norm": 0.5436893203883495, |
|
|
"acc_norm_stderr": 0.049318019942204146 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.7350427350427351, |
|
|
"acc_stderr": 0.028911208802749472, |
|
|
"acc_norm": 0.7350427350427351, |
|
|
"acc_norm_stderr": 0.028911208802749472 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.54, |
|
|
"acc_stderr": 0.05009082659620332, |
|
|
"acc_norm": 0.54, |
|
|
"acc_norm_stderr": 0.05009082659620332 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.6015325670498084, |
|
|
"acc_stderr": 0.017507438602777415, |
|
|
"acc_norm": 0.6015325670498084, |
|
|
"acc_norm_stderr": 0.017507438602777415 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.4508670520231214, |
|
|
"acc_stderr": 0.02678881193156276, |
|
|
"acc_norm": 0.4508670520231214, |
|
|
"acc_norm_stderr": 0.02678881193156276 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.24022346368715083, |
|
|
"acc_stderr": 0.014288343803925308, |
|
|
"acc_norm": 0.24022346368715083, |
|
|
"acc_norm_stderr": 0.014288343803925308 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.45098039215686275, |
|
|
"acc_stderr": 0.028491993586171563, |
|
|
"acc_norm": 0.45098039215686275, |
|
|
"acc_norm_stderr": 0.028491993586171563 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.48231511254019294, |
|
|
"acc_stderr": 0.02838032284907713, |
|
|
"acc_norm": 0.48231511254019294, |
|
|
"acc_norm_stderr": 0.02838032284907713 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.49691358024691357, |
|
|
"acc_stderr": 0.027820214158594377, |
|
|
"acc_norm": 0.49691358024691357, |
|
|
"acc_norm_stderr": 0.027820214158594377 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.33687943262411346, |
|
|
"acc_stderr": 0.02819553487396673, |
|
|
"acc_norm": 0.33687943262411346, |
|
|
"acc_norm_stderr": 0.02819553487396673 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.3539765319426336, |
|
|
"acc_stderr": 0.012213504731731644, |
|
|
"acc_norm": 0.3539765319426336, |
|
|
"acc_norm_stderr": 0.012213504731731644 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.3602941176470588, |
|
|
"acc_stderr": 0.029163128570670733, |
|
|
"acc_norm": 0.3602941176470588, |
|
|
"acc_norm_stderr": 0.029163128570670733 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.4444444444444444, |
|
|
"acc_stderr": 0.020102583895887184, |
|
|
"acc_norm": 0.4444444444444444, |
|
|
"acc_norm_stderr": 0.020102583895887184 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.5545454545454546, |
|
|
"acc_stderr": 0.047605488214603246, |
|
|
"acc_norm": 0.5545454545454546, |
|
|
"acc_norm_stderr": 0.047605488214603246 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.4489795918367347, |
|
|
"acc_stderr": 0.03184213866687579, |
|
|
"acc_norm": 0.4489795918367347, |
|
|
"acc_norm_stderr": 0.03184213866687579 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.6218905472636815, |
|
|
"acc_stderr": 0.034288678487786564, |
|
|
"acc_norm": 0.6218905472636815, |
|
|
"acc_norm_stderr": 0.034288678487786564 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.73, |
|
|
"acc_stderr": 0.044619604333847394, |
|
|
"acc_norm": 0.73, |
|
|
"acc_norm_stderr": 0.044619604333847394 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.4036144578313253, |
|
|
"acc_stderr": 0.038194861407583984, |
|
|
"acc_norm": 0.4036144578313253, |
|
|
"acc_norm_stderr": 0.038194861407583984 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.6081871345029239, |
|
|
"acc_stderr": 0.037439798259263996, |
|
|
"acc_norm": 0.6081871345029239, |
|
|
"acc_norm_stderr": 0.037439798259263996 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.31334149326805383, |
|
|
"mc1_stderr": 0.016238065069059615, |
|
|
"mc2": 0.5124518749351841, |
|
|
"mc2_stderr": 0.014906275227740079 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.6637726913970008, |
|
|
"acc_stderr": 0.013277286593993454 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.37907505686125853, |
|
|
"acc_stderr": 0.013363630295088351 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
