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--- |
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pretty_name: Evaluation run of rxavier/Taurus-7B-1.0 |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [rxavier/Taurus-7B-1.0](https://huggingface.co/rxavier/Taurus-7B-1.0) on the [Open\ |
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\ 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_rxavier__Taurus-7B-1.0\"\ |
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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 2024-02-23T22:21:40.902202](https://huggingface.co/datasets/open-llm-leaderboard/details_rxavier__Taurus-7B-1.0/blob/main/results_2024-02-23T22-21-40.902202.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\": 0.6361792234778971,\n\ |
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|
\ \"acc_stderr\": 0.032395118340226396,\n \"acc_norm\": 0.6384410279862244,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03304366843119485,\n \"mc1\": 0.34394124847001223,\n\ |
|
|
\ \"mc1_stderr\": 0.016629087514276778,\n \"mc2\": 0.5021041476017792,\n\ |
|
|
\ \"mc2_stderr\": 0.01497564544015494\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.5938566552901023,\n \"acc_stderr\": 0.014351656690097856,\n\ |
|
|
\ \"acc_norm\": 0.6356655290102389,\n \"acc_norm_stderr\": 0.014063260279882419\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6421031666998606,\n\ |
|
|
\ \"acc_stderr\": 0.004784018497679811,\n \"acc_norm\": 0.836387173869747,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0036916784957679717\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5703703703703704,\n\ |
|
|
\ \"acc_stderr\": 0.042763494943765995,\n \"acc_norm\": 0.5703703703703704,\n\ |
|
|
\ \"acc_norm_stderr\": 0.042763494943765995\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.7039473684210527,\n \"acc_stderr\": 0.037150621549989056,\n\ |
|
|
\ \"acc_norm\": 0.7039473684210527,\n \"acc_norm_stderr\": 0.037150621549989056\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.56,\n\ |
|
|
\ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.6943396226415094,\n \"acc_stderr\": 0.028353298073322666,\n\ |
|
|
\ \"acc_norm\": 0.6943396226415094,\n \"acc_norm_stderr\": 0.028353298073322666\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.75,\n\ |
|
|
\ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.75,\n \ |
|
|
\ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ |
|
|
: 0.55,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ |
|
|
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ |
|
|
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.32,\n\ |
|
|
\ \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\": 0.32,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness|hendrycksTest-college_medicine|5\"\ |
|
|
: {\n \"acc\": 0.630057803468208,\n \"acc_stderr\": 0.036812296333943194,\n\ |
|
|
\ \"acc_norm\": 0.630057803468208,\n \"acc_norm_stderr\": 0.036812296333943194\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.39215686274509803,\n\ |
|
|
\ \"acc_stderr\": 0.04858083574266346,\n \"acc_norm\": 0.39215686274509803,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04858083574266346\n },\n \"harness|hendrycksTest-computer_security|5\"\ |
|
|
: {\n \"acc\": 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \ |
|
|
\ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.04163331998932261\n \ |
|
|
\ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.5276595744680851,\n\ |
|
|
\ \"acc_stderr\": 0.03263597118409769,\n \"acc_norm\": 0.5276595744680851,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03263597118409769\n },\n \"harness|hendrycksTest-econometrics|5\"\ |
|
|
: {\n \"acc\": 0.47368421052631576,\n \"acc_stderr\": 0.046970851366478626,\n\ |
|
|
\ \"acc_norm\": 0.47368421052631576,\n \"acc_norm_stderr\": 0.046970851366478626\n\ |
|
|
\ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ |
|
|
: 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n \"acc_norm\"\ |
|
|
: 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n },\n\ |
|
|
\ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.4126984126984127,\n\ |
|
|
\ \"acc_stderr\": 0.025355741263055263,\n \"acc_norm\": 0.4126984126984127,\n\ |
|
|
\ \"acc_norm_stderr\": 0.025355741263055263\n },\n \"harness|hendrycksTest-formal_logic|5\"\ |
|
|
: {\n \"acc\": 0.42063492063492064,\n \"acc_stderr\": 0.04415438226743744,\n\ |
|
|
\ \"acc_norm\": 0.42063492063492064,\n \"acc_norm_stderr\": 0.04415438226743744\n\ |
|
|
\ },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.38,\n\ |
|
|
\ \"acc_stderr\": 0.04878317312145632,\n \"acc_norm\": 0.38,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04878317312145632\n },\n \"harness|hendrycksTest-high_school_biology|5\"\ |
|
|
: {\n \"acc\": 0.7806451612903226,\n \"acc_stderr\": 0.023540799358723295,\n\ |
|
|
\ \"acc_norm\": 0.7806451612903226,\n \"acc_norm_stderr\": 0.023540799358723295\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ |
|
|
: 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n \"\ |
|
|
acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.65,\n \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\"\ |
|
|
: 0.65,\n \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009181,\n\ |
|
|
\ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009181\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.7828282828282829,\n \"acc_stderr\": 0.029376616484945633,\n \"\ |
|
|
acc_norm\": 0.7828282828282829,\n \"acc_norm_stderr\": 0.029376616484945633\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.8808290155440415,\n \"acc_stderr\": 0.02338193534812144,\n\ |
|
|
\ \"acc_norm\": 0.8808290155440415,\n \"acc_norm_stderr\": 0.02338193534812144\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6256410256410256,\n \"acc_stderr\": 0.0245375915728305,\n \ |
|
|
\ \"acc_norm\": 0.6256410256410256,\n \"acc_norm_stderr\": 0.0245375915728305\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.2814814814814815,\n \"acc_stderr\": 0.02742001935094527,\n \ |
|
|
\ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.02742001935094527\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\ |
|
|
\ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ |
|
|
acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.8238532110091743,\n \"acc_stderr\": 0.01633288239343138,\n \"\ |
|
|
acc_norm\": 0.8238532110091743,\n \"acc_norm_stderr\": 0.01633288239343138\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.5324074074074074,\n \"acc_stderr\": 0.03402801581358966,\n \"\ |
|
|
acc_norm\": 0.5324074074074074,\n \"acc_norm_stderr\": 0.03402801581358966\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.7892156862745098,\n \"acc_stderr\": 0.028626547912437406,\n \"\ |
|
|
acc_norm\": 0.7892156862745098,\n \"acc_norm_stderr\": 0.028626547912437406\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.7721518987341772,\n \"acc_stderr\": 0.027303484599069422,\n \ |
|
|
\ \"acc_norm\": 0.7721518987341772,\n \"acc_norm_stderr\": 0.027303484599069422\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\ |
|
|
\ \"acc_stderr\": 0.031381476375755,\n \"acc_norm\": 0.6771300448430493,\n\ |
|
|
\ \"acc_norm_stderr\": 0.031381476375755\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494733,\n\ |
|
|
\ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494733\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ |
|
|
: 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ |
|
|
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.75,\n \ |
|
|
\ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.75,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7852760736196319,\n \"acc_stderr\": 0.03226219377286775,\n\ |
|
|
\ \"acc_norm\": 0.7852760736196319,\n \"acc_norm_stderr\": 0.03226219377286775\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5267857142857143,\n\ |
|
|
\ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.5267857142857143,\n\ |
|
|
\ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\ |
|
|
\ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8547008547008547,\n\ |
|
|
\ \"acc_stderr\": 0.023086635086841407,\n \"acc_norm\": 0.8547008547008547,\n\ |
|
|
\ \"acc_norm_stderr\": 0.023086635086841407\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \ |
|
|
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\ |
|
|
\ \"acc_stderr\": 0.013816335389973133,\n \"acc_norm\": 0.8173690932311622,\n\ |
|
|
\ \"acc_norm_stderr\": 0.013816335389973133\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.023948512905468358,\n\ |
|
|
\ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.023948512905468358\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3340782122905028,\n\ |
|
|
\ \"acc_stderr\": 0.015774911422381643,\n \"acc_norm\": 0.3340782122905028,\n\ |
|
|
\ \"acc_norm_stderr\": 0.015774911422381643\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729474,\n\ |
|
|
\ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729474\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\ |
|
|
\ \"acc_stderr\": 0.026236965881153262,\n \"acc_norm\": 0.6913183279742765,\n\ |
|
|
\ \"acc_norm_stderr\": 0.026236965881153262\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.02500646975579922,\n\ |
|
|
\ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.02500646975579922\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.4858156028368794,\n \"acc_stderr\": 0.02981549448368206,\n \ |
|
|
\ \"acc_norm\": 0.4858156028368794,\n \"acc_norm_stderr\": 0.02981549448368206\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4765319426336376,\n\ |
|
|
\ \"acc_stderr\": 0.012756161942523363,\n \"acc_norm\": 0.4765319426336376,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012756161942523363\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6948529411764706,\n \"acc_stderr\": 0.0279715413701706,\n\ |
|
|
\ \"acc_norm\": 0.6948529411764706,\n \"acc_norm_stderr\": 0.0279715413701706\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6552287581699346,\n \"acc_stderr\": 0.019228322018696637,\n \ |
|
|
\ \"acc_norm\": 0.6552287581699346,\n \"acc_norm_stderr\": 0.019228322018696637\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ |
|
|
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.028920583220675585,\n\ |
|
|
\ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.028920583220675585\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\ |
|
|
\ \"acc_stderr\": 0.02553843336857833,\n \"acc_norm\": 0.845771144278607,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02553843336857833\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ |
|
|
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ |
|
|
\ \"acc_stderr\": 0.038786267710023595,\n \"acc_norm\": 0.5421686746987951,\n\ |
|
|
\ \"acc_norm_stderr\": 0.038786267710023595\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ |
|
|
\ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.34394124847001223,\n\ |
|
|
\ \"mc1_stderr\": 0.016629087514276778,\n \"mc2\": 0.5021041476017792,\n\ |
|
|
\ \"mc2_stderr\": 0.01497564544015494\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.7813733228097869,\n \"acc_stderr\": 0.011616198215773229\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5936315390447309,\n \ |
|
|
\ \"acc_stderr\": 0.013528846685413237\n }\n}\n```" |
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|
repo_url: https://huggingface.co/rxavier/Taurus-7B-1.0 |
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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_23T22_21_40.902202 |
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|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-23T22-21-40.902202.parquet' |
|
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|gsm8k|5_2024-02-23T22-21-40.902202.parquet' |
|
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|gsm8k|5_2024-02-23T22-21-40.902202.parquet' |
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- config_name: harness_hellaswag_10 |
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data_files: |
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- split: 2024_02_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-23T22-21-40.902202.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_02_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-23T22-21-40.902202.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-23T22-21-40.902202.parquet' |
|
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-23T22-21-40.902202.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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data_files: |
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- split: 2024_02_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-23T22-21-40.902202.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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data_files: |
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- split: 2024_02_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-23T22-21-40.902202.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_23T22_21_40.902202 |
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path: |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-23T22-21-40.902202.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-23T22-21-40.902202.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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data_files: |
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- split: 2024_02_23T22_21_40.902202 |
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path: |
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- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-23T22-21-40.902202.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_23T22_21_40.902202 |
|
|
path: |
|
|
- results_2024-02-23T22-21-40.902202.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-23T22-21-40.902202.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of rxavier/Taurus-7B-1.0 |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [rxavier/Taurus-7B-1.0](https://huggingface.co/rxavier/Taurus-7B-1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). |
|
|
|
|
|
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. |
|
|
|
|
|
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. |
|
|
|
|
|
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). |
|
|
|
|
|
To load the details from a run, you can for instance do the following: |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
data = load_dataset("open-llm-leaderboard/details_rxavier__Taurus-7B-1.0", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-02-23T22:21:40.902202](https://huggingface.co/datasets/open-llm-leaderboard/details_rxavier__Taurus-7B-1.0/blob/main/results_2024-02-23T22-21-40.902202.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": 0.6361792234778971, |
|
|
"acc_stderr": 0.032395118340226396, |
|
|
"acc_norm": 0.6384410279862244, |
|
|
"acc_norm_stderr": 0.03304366843119485, |
|
|
"mc1": 0.34394124847001223, |
|
|
"mc1_stderr": 0.016629087514276778, |
|
|
"mc2": 0.5021041476017792, |
|
|
"mc2_stderr": 0.01497564544015494 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.5938566552901023, |
|
|
"acc_stderr": 0.014351656690097856, |
|
|
"acc_norm": 0.6356655290102389, |
|
|
"acc_norm_stderr": 0.014063260279882419 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.6421031666998606, |
|
|
"acc_stderr": 0.004784018497679811, |
|
|
"acc_norm": 0.836387173869747, |
|
|
"acc_norm_stderr": 0.0036916784957679717 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.34, |
|
|
"acc_stderr": 0.047609522856952365, |
|
|
"acc_norm": 0.34, |
|
|
"acc_norm_stderr": 0.047609522856952365 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.5703703703703704, |
|
|
"acc_stderr": 0.042763494943765995, |
|
|
"acc_norm": 0.5703703703703704, |
|
|
"acc_norm_stderr": 0.042763494943765995 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.7039473684210527, |
|
|
"acc_stderr": 0.037150621549989056, |
|
|
"acc_norm": 0.7039473684210527, |
|
|
"acc_norm_stderr": 0.037150621549989056 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.56, |
|
|
"acc_stderr": 0.04988876515698589, |
|
|
"acc_norm": 0.56, |
|
|
"acc_norm_stderr": 0.04988876515698589 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.6943396226415094, |
|
|
"acc_stderr": 0.028353298073322666, |
|
|
"acc_norm": 0.6943396226415094, |
|
|
"acc_norm_stderr": 0.028353298073322666 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.75, |
|
|
"acc_stderr": 0.03621034121889507, |
|
|
"acc_norm": 0.75, |
|
|
"acc_norm_stderr": 0.03621034121889507 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.55, |
|
|
"acc_stderr": 0.05, |
|
|
"acc_norm": 0.55, |
|
|
"acc_norm_stderr": 0.05 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.5, |
|
|
"acc_stderr": 0.050251890762960605, |
|
|
"acc_norm": 0.5, |
|
|
"acc_norm_stderr": 0.050251890762960605 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.32, |
|
|
"acc_stderr": 0.04688261722621505, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.04688261722621505 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.630057803468208, |
|
|
"acc_stderr": 0.036812296333943194, |
|
|
"acc_norm": 0.630057803468208, |
|
|
"acc_norm_stderr": 0.036812296333943194 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.39215686274509803, |
|
|
"acc_stderr": 0.04858083574266346, |
|
|
"acc_norm": 0.39215686274509803, |
|
|
"acc_norm_stderr": 0.04858083574266346 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.78, |
|
|
"acc_stderr": 0.04163331998932261, |
|
|
"acc_norm": 0.78, |
|
|
"acc_norm_stderr": 0.04163331998932261 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.5276595744680851, |
|
|
"acc_stderr": 0.03263597118409769, |
|
|
"acc_norm": 0.5276595744680851, |
|
|
"acc_norm_stderr": 0.03263597118409769 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.47368421052631576, |
|
|
"acc_stderr": 0.046970851366478626, |
|
|
"acc_norm": 0.47368421052631576, |
|
|
"acc_norm_stderr": 0.046970851366478626 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5241379310344828, |
|
|
"acc_stderr": 0.0416180850350153, |
|
|
"acc_norm": 0.5241379310344828, |
|
|
"acc_norm_stderr": 0.0416180850350153 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.4126984126984127, |
|
|
"acc_stderr": 0.025355741263055263, |
|
|
"acc_norm": 0.4126984126984127, |
|
|
"acc_norm_stderr": 0.025355741263055263 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.42063492063492064, |
|
|
"acc_stderr": 0.04415438226743744, |
|
|
"acc_norm": 0.42063492063492064, |
|
|
"acc_norm_stderr": 0.04415438226743744 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.38, |
|
|
"acc_stderr": 0.04878317312145632, |
|
|
"acc_norm": 0.38, |
|
|
"acc_norm_stderr": 0.04878317312145632 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.7806451612903226, |
|
|
"acc_stderr": 0.023540799358723295, |
|
|
"acc_norm": 0.7806451612903226, |
|
|
"acc_norm_stderr": 0.023540799358723295 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.4975369458128079, |
|
|
"acc_stderr": 0.03517945038691063, |
|
|
"acc_norm": 0.4975369458128079, |
|
|
"acc_norm_stderr": 0.03517945038691063 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.65, |
|
|
"acc_stderr": 0.047937248544110196, |
|
|
"acc_norm": 0.65, |
|
|
"acc_norm_stderr": 0.047937248544110196 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7636363636363637, |
|
|
"acc_stderr": 0.03317505930009181, |
|
|
"acc_norm": 0.7636363636363637, |
|
|
"acc_norm_stderr": 0.03317505930009181 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.7828282828282829, |
|
|
"acc_stderr": 0.029376616484945633, |
|
|
"acc_norm": 0.7828282828282829, |
|
|
"acc_norm_stderr": 0.029376616484945633 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.8808290155440415, |
|
|
"acc_stderr": 0.02338193534812144, |
|
|
"acc_norm": 0.8808290155440415, |
|
|
"acc_norm_stderr": 0.02338193534812144 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.6256410256410256, |
|
|
"acc_stderr": 0.0245375915728305, |
|
|
"acc_norm": 0.6256410256410256, |
|
|
"acc_norm_stderr": 0.0245375915728305 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.2814814814814815, |
|
|
"acc_stderr": 0.02742001935094527, |
|
|
"acc_norm": 0.2814814814814815, |
|
|
"acc_norm_stderr": 0.02742001935094527 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.6848739495798319, |
|
|
"acc_stderr": 0.030176808288974337, |
|
|
"acc_norm": 0.6848739495798319, |
|
|
"acc_norm_stderr": 0.030176808288974337 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.33112582781456956, |
|
|
"acc_stderr": 0.038425817186598696, |
|
|
"acc_norm": 0.33112582781456956, |
|
|
"acc_norm_stderr": 0.038425817186598696 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.8238532110091743, |
|
|
"acc_stderr": 0.01633288239343138, |
|
|
"acc_norm": 0.8238532110091743, |
|
|
"acc_norm_stderr": 0.01633288239343138 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.5324074074074074, |
|
|
"acc_stderr": 0.03402801581358966, |
|
|
"acc_norm": 0.5324074074074074, |
|
|
"acc_norm_stderr": 0.03402801581358966 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.7892156862745098, |
|
|
"acc_stderr": 0.028626547912437406, |
|
|
"acc_norm": 0.7892156862745098, |
|
|
"acc_norm_stderr": 0.028626547912437406 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7721518987341772, |
|
|
"acc_stderr": 0.027303484599069422, |
|
|
"acc_norm": 0.7721518987341772, |
|
|
"acc_norm_stderr": 0.027303484599069422 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6771300448430493, |
|
|
"acc_stderr": 0.031381476375755, |
|
|
"acc_norm": 0.6771300448430493, |
|
|
"acc_norm_stderr": 0.031381476375755 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.816793893129771, |
|
|
"acc_stderr": 0.03392770926494733, |
|
|
"acc_norm": 0.816793893129771, |
|
|
"acc_norm_stderr": 0.03392770926494733 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.743801652892562, |
|
|
"acc_stderr": 0.03984979653302871, |
|
|
"acc_norm": 0.743801652892562, |
|
|
"acc_norm_stderr": 0.03984979653302871 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.75, |
|
|
"acc_stderr": 0.04186091791394607, |
|
|
"acc_norm": 0.75, |
|
|
"acc_norm_stderr": 0.04186091791394607 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7852760736196319, |
|
|
"acc_stderr": 0.03226219377286775, |
|
|
"acc_norm": 0.7852760736196319, |
|
|
"acc_norm_stderr": 0.03226219377286775 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.5267857142857143, |
|
|
"acc_stderr": 0.047389751192741546, |
|
|
"acc_norm": 0.5267857142857143, |
|
|
"acc_norm_stderr": 0.047389751192741546 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7864077669902912, |
|
|
"acc_stderr": 0.040580420156460344, |
|
|
"acc_norm": 0.7864077669902912, |
|
|
"acc_norm_stderr": 0.040580420156460344 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8547008547008547, |
|
|
"acc_stderr": 0.023086635086841407, |
|
|
"acc_norm": 0.8547008547008547, |
|
|
"acc_norm_stderr": 0.023086635086841407 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.72, |
|
|
"acc_stderr": 0.04512608598542128, |
|
|
"acc_norm": 0.72, |
|
|
"acc_norm_stderr": 0.04512608598542128 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.8173690932311622, |
|
|
"acc_stderr": 0.013816335389973133, |
|
|
"acc_norm": 0.8173690932311622, |
|
|
"acc_norm_stderr": 0.013816335389973133 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.7283236994219653, |
|
|
"acc_stderr": 0.023948512905468358, |
|
|
"acc_norm": 0.7283236994219653, |
|
|
"acc_norm_stderr": 0.023948512905468358 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.3340782122905028, |
|
|
"acc_stderr": 0.015774911422381643, |
|
|
"acc_norm": 0.3340782122905028, |
|
|
"acc_norm_stderr": 0.015774911422381643 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.7352941176470589, |
|
|
"acc_stderr": 0.025261691219729474, |
|
|
"acc_norm": 0.7352941176470589, |
|
|
"acc_norm_stderr": 0.025261691219729474 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.6913183279742765, |
|
|
"acc_stderr": 0.026236965881153262, |
|
|
"acc_norm": 0.6913183279742765, |
|
|
"acc_norm_stderr": 0.026236965881153262 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.7191358024691358, |
|
|
"acc_stderr": 0.02500646975579922, |
|
|
"acc_norm": 0.7191358024691358, |
|
|
"acc_norm_stderr": 0.02500646975579922 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.4858156028368794, |
|
|
"acc_stderr": 0.02981549448368206, |
|
|
"acc_norm": 0.4858156028368794, |
|
|
"acc_norm_stderr": 0.02981549448368206 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.4765319426336376, |
|
|
"acc_stderr": 0.012756161942523363, |
|
|
"acc_norm": 0.4765319426336376, |
|
|
"acc_norm_stderr": 0.012756161942523363 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6948529411764706, |
|
|
"acc_stderr": 0.0279715413701706, |
|
|
"acc_norm": 0.6948529411764706, |
|
|
"acc_norm_stderr": 0.0279715413701706 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6552287581699346, |
|
|
"acc_stderr": 0.019228322018696637, |
|
|
"acc_norm": 0.6552287581699346, |
|
|
"acc_norm_stderr": 0.019228322018696637 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6727272727272727, |
|
|
"acc_stderr": 0.0449429086625209, |
|
|
"acc_norm": 0.6727272727272727, |
|
|
"acc_norm_stderr": 0.0449429086625209 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.7142857142857143, |
|
|
"acc_stderr": 0.028920583220675585, |
|
|
"acc_norm": 0.7142857142857143, |
|
|
"acc_norm_stderr": 0.028920583220675585 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.845771144278607, |
|
|
"acc_stderr": 0.02553843336857833, |
|
|
"acc_norm": 0.845771144278607, |
|
|
"acc_norm_stderr": 0.02553843336857833 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.86, |
|
|
"acc_stderr": 0.03487350880197769, |
|
|
"acc_norm": 0.86, |
|
|
"acc_norm_stderr": 0.03487350880197769 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5421686746987951, |
|
|
"acc_stderr": 0.038786267710023595, |
|
|
"acc_norm": 0.5421686746987951, |
|
|
"acc_norm_stderr": 0.038786267710023595 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8362573099415205, |
|
|
"acc_stderr": 0.028380919596145866, |
|
|
"acc_norm": 0.8362573099415205, |
|
|
"acc_norm_stderr": 0.028380919596145866 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.34394124847001223, |
|
|
"mc1_stderr": 0.016629087514276778, |
|
|
"mc2": 0.5021041476017792, |
|
|
"mc2_stderr": 0.01497564544015494 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.7813733228097869, |
|
|
"acc_stderr": 0.011616198215773229 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.5936315390447309, |
|
|
"acc_stderr": 0.013528846685413237 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
