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--- |
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pretty_name: Evaluation run of Ba2han/BruinsV2-OpHermesNeu-11B |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [Ba2han/BruinsV2-OpHermesNeu-11B](https://huggingface.co/Ba2han/BruinsV2-OpHermesNeu-11B)\ |
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ |
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\nThe dataset is composed of 63 configuration, each one coresponding to one of the\ |
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\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ |
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\ found as a specific split in each configuration, the split being named using the\ |
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ |
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\nAn additional configuration \"results\" store all the aggregated results of the\ |
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\ run (and is used to compute and display the aggregated metrics on the [Open LLM\ |
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ |
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\nTo load the details from a run, you can for instance do the following:\n```python\n\ |
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Ba2han__BruinsV2-OpHermesNeu-11B\"\ |
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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 2023-12-16T12:38:08.853335](https://huggingface.co/datasets/open-llm-leaderboard/details_Ba2han__BruinsV2-OpHermesNeu-11B/blob/main/results_2023-12-16T12-38-08.853335.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\": 0.6442797430736888,\n\ |
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\ \"acc_stderr\": 0.032189382292323196,\n \"acc_norm\": 0.646076779376777,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0328357234803993,\n \"mc1\": 0.46266829865361075,\n\ |
|
|
\ \"mc1_stderr\": 0.017454645150970588,\n \"mc2\": 0.6276115895198878,\n\ |
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\ \"mc2_stderr\": 0.015378567971079934\n },\n \"harness|arc:challenge|25\"\ |
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|
: {\n \"acc\": 0.6552901023890785,\n \"acc_stderr\": 0.01388881628678211,\n\ |
|
|
\ \"acc_norm\": 0.6808873720136519,\n \"acc_norm_stderr\": 0.01362169611917331\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.659928301135232,\n\ |
|
|
\ \"acc_stderr\": 0.0047276480578979235,\n \"acc_norm\": 0.847042421828321,\n\ |
|
|
\ \"acc_norm_stderr\": 0.003592109743628618\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \ |
|
|
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6518518518518519,\n\ |
|
|
\ \"acc_stderr\": 0.04115324610336953,\n \"acc_norm\": 0.6518518518518519,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04115324610336953\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316092,\n\ |
|
|
\ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316092\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ |
|
|
\ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.7094339622641509,\n \"acc_stderr\": 0.027943219989337135,\n\ |
|
|
\ \"acc_norm\": 0.7094339622641509,\n \"acc_norm_stderr\": 0.027943219989337135\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7708333333333334,\n\ |
|
|
\ \"acc_stderr\": 0.03514697467862388,\n \"acc_norm\": 0.7708333333333334,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03514697467862388\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ |
|
|
\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ |
|
|
: 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n\ |
|
|
\ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ |
|
|
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\ |
|
|
\ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ |
|
|
\ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.46078431372549017,\n \"acc_stderr\": 0.04959859966384181,\n\ |
|
|
\ \"acc_norm\": 0.46078431372549017,\n \"acc_norm_stderr\": 0.04959859966384181\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.548936170212766,\n \"acc_stderr\": 0.032529096196131965,\n\ |
|
|
\ \"acc_norm\": 0.548936170212766,\n \"acc_norm_stderr\": 0.032529096196131965\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ |
|
|
\ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370332,\n\ |
|
|
\ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370332\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.42328042328042326,\n \"acc_stderr\": 0.025446365634406796,\n \"\ |
|
|
acc_norm\": 0.42328042328042326,\n \"acc_norm_stderr\": 0.025446365634406796\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\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ |
|
|
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ |
|
|
: 0.7741935483870968,\n \"acc_stderr\": 0.023785577884181012,\n \"\ |
|
|
acc_norm\": 0.7741935483870968,\n \"acc_norm_stderr\": 0.023785577884181012\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ |
|
|
: 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175008,\n \"\ |
|
|
acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175008\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\"\ |
|
|
: 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.793939393939394,\n \"acc_stderr\": 0.0315841532404771,\n\ |
|
|
\ \"acc_norm\": 0.793939393939394,\n \"acc_norm_stderr\": 0.0315841532404771\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\ |
|
|
acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.020986854593289733,\n\ |
|
|
\ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.020986854593289733\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6743589743589744,\n \"acc_stderr\": 0.02375966576741229,\n \ |
|
|
\ \"acc_norm\": 0.6743589743589744,\n \"acc_norm_stderr\": 0.02375966576741229\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465066,\n \ |
|
|
\ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465066\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6890756302521008,\n \"acc_stderr\": 0.03006676158297793,\n \ |
|
|
\ \"acc_norm\": 0.6890756302521008,\n \"acc_norm_stderr\": 0.03006676158297793\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\"\ |
|
|
: 0.8495412844036697,\n \"acc_stderr\": 0.015328563932669237,\n \"\ |
|
|
acc_norm\": 0.8495412844036697,\n \"acc_norm_stderr\": 0.015328563932669237\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\ |
|
|
acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.7745098039215687,\n \"acc_stderr\": 0.029331162294251735,\n \"\ |
|
|
acc_norm\": 0.7745098039215687,\n \"acc_norm_stderr\": 0.029331162294251735\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621115,\n \ |
|
|
\ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621115\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6681614349775785,\n\ |
|
|
\ \"acc_stderr\": 0.031602951437766785,\n \"acc_norm\": 0.6681614349775785,\n\ |
|
|
\ \"acc_norm_stderr\": 0.031602951437766785\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.03641297081313729,\n\ |
|
|
\ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.03641297081313729\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990945,\n \"\ |
|
|
acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990945\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ |
|
|
\ \"acc_stderr\": 0.042365112580946315,\n \"acc_norm\": 0.7407407407407407,\n\ |
|
|
\ \"acc_norm_stderr\": 0.042365112580946315\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7423312883435583,\n \"acc_stderr\": 0.03436150827846917,\n\ |
|
|
\ \"acc_norm\": 0.7423312883435583,\n \"acc_norm_stderr\": 0.03436150827846917\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.44642857142857145,\n\ |
|
|
\ \"acc_stderr\": 0.04718471485219588,\n \"acc_norm\": 0.44642857142857145,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04718471485219588\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.03916667762822584,\n\ |
|
|
\ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.03916667762822584\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\ |
|
|
\ \"acc_stderr\": 0.020930193185179333,\n \"acc_norm\": 0.8846153846153846,\n\ |
|
|
\ \"acc_norm_stderr\": 0.020930193185179333\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \ |
|
|
\ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8160919540229885,\n\ |
|
|
\ \"acc_stderr\": 0.01385372417092253,\n \"acc_norm\": 0.8160919540229885,\n\ |
|
|
\ \"acc_norm_stderr\": 0.01385372417092253\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.7138728323699421,\n \"acc_stderr\": 0.024332146779134128,\n\ |
|
|
\ \"acc_norm\": 0.7138728323699421,\n \"acc_norm_stderr\": 0.024332146779134128\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3843575418994413,\n\ |
|
|
\ \"acc_stderr\": 0.0162690886639594,\n \"acc_norm\": 0.3843575418994413,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0162690886639594\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\": 0.02623696588115327,\n \"acc_norm\": 0.6913183279742765,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02623696588115327\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.7314814814814815,\n \"acc_stderr\": 0.024659685185967284,\n\ |
|
|
\ \"acc_norm\": 0.7314814814814815,\n \"acc_norm_stderr\": 0.024659685185967284\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \ |
|
|
\ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4471968709256845,\n\ |
|
|
\ \"acc_stderr\": 0.012698825252435108,\n \"acc_norm\": 0.4471968709256845,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012698825252435108\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6875,\n \"acc_stderr\": 0.02815637344037142,\n \ |
|
|
\ \"acc_norm\": 0.6875,\n \"acc_norm_stderr\": 0.02815637344037142\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6552287581699346,\n \"acc_stderr\": 0.01922832201869664,\n \ |
|
|
\ \"acc_norm\": 0.6552287581699346,\n \"acc_norm_stderr\": 0.01922832201869664\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\ |
|
|
\ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.710204081632653,\n \"acc_stderr\": 0.02904308868330433,\n\ |
|
|
\ \"acc_norm\": 0.710204081632653,\n \"acc_norm_stderr\": 0.02904308868330433\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8557213930348259,\n\ |
|
|
\ \"acc_stderr\": 0.024845753212306046,\n \"acc_norm\": 0.8557213930348259,\n\ |
|
|
\ \"acc_norm_stderr\": 0.024845753212306046\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ |
|
|
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\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\": 0.8187134502923976,\n \"acc_stderr\": 0.02954774168764004,\n\ |
|
|
\ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.02954774168764004\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.46266829865361075,\n\ |
|
|
\ \"mc1_stderr\": 0.017454645150970588,\n \"mc2\": 0.6276115895198878,\n\ |
|
|
\ \"mc2_stderr\": 0.015378567971079934\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.7947908445146015,\n \"acc_stderr\": 0.011350315707462057\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6004548900682335,\n \ |
|
|
\ \"acc_stderr\": 0.01349166029881599\n }\n}\n```" |
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repo_url: https://huggingface.co/Ba2han/BruinsV2-OpHermesNeu-11B |
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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: 2023_12_16T12_38_08.853335 |
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path: |
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- '**/details_harness|arc:challenge|25_2023-12-16T12-38-08.853335.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|arc:challenge|25_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_gsm8k_5 |
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data_files: |
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- split: 2023_12_16T12_38_08.853335 |
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path: |
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- '**/details_harness|gsm8k|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|gsm8k|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hellaswag_10 |
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- '**/details_harness|hellaswag|10_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hellaswag|10_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_5 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T12-38-08.853335.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T12-38-08.853335.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: 2023_12_16T12_38_08.853335 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T12-38-08.853335.parquet' |
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2023-12-16T12-38-08.853335.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2023_12_16T12_38_08.853335 |
|
|
path: |
|
|
- results_2023-12-16T12-38-08.853335.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2023-12-16T12-38-08.853335.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of Ba2han/BruinsV2-OpHermesNeu-11B |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [Ba2han/BruinsV2-OpHermesNeu-11B](https://huggingface.co/Ba2han/BruinsV2-OpHermesNeu-11B) 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_Ba2han__BruinsV2-OpHermesNeu-11B", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2023-12-16T12:38:08.853335](https://huggingface.co/datasets/open-llm-leaderboard/details_Ba2han__BruinsV2-OpHermesNeu-11B/blob/main/results_2023-12-16T12-38-08.853335.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": 0.6442797430736888, |
|
|
"acc_stderr": 0.032189382292323196, |
|
|
"acc_norm": 0.646076779376777, |
|
|
"acc_norm_stderr": 0.0328357234803993, |
|
|
"mc1": 0.46266829865361075, |
|
|
"mc1_stderr": 0.017454645150970588, |
|
|
"mc2": 0.6276115895198878, |
|
|
"mc2_stderr": 0.015378567971079934 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.6552901023890785, |
|
|
"acc_stderr": 0.01388881628678211, |
|
|
"acc_norm": 0.6808873720136519, |
|
|
"acc_norm_stderr": 0.01362169611917331 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.659928301135232, |
|
|
"acc_stderr": 0.0047276480578979235, |
|
|
"acc_norm": 0.847042421828321, |
|
|
"acc_norm_stderr": 0.003592109743628618 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.33, |
|
|
"acc_stderr": 0.04725815626252606, |
|
|
"acc_norm": 0.33, |
|
|
"acc_norm_stderr": 0.04725815626252606 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.6518518518518519, |
|
|
"acc_stderr": 0.04115324610336953, |
|
|
"acc_norm": 0.6518518518518519, |
|
|
"acc_norm_stderr": 0.04115324610336953 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.6578947368421053, |
|
|
"acc_stderr": 0.03860731599316092, |
|
|
"acc_norm": 0.6578947368421053, |
|
|
"acc_norm_stderr": 0.03860731599316092 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.64, |
|
|
"acc_stderr": 0.04824181513244218, |
|
|
"acc_norm": 0.64, |
|
|
"acc_norm_stderr": 0.04824181513244218 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.7094339622641509, |
|
|
"acc_stderr": 0.027943219989337135, |
|
|
"acc_norm": 0.7094339622641509, |
|
|
"acc_norm_stderr": 0.027943219989337135 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.7708333333333334, |
|
|
"acc_stderr": 0.03514697467862388, |
|
|
"acc_norm": 0.7708333333333334, |
|
|
"acc_norm_stderr": 0.03514697467862388 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.46, |
|
|
"acc_stderr": 0.05009082659620333, |
|
|
"acc_norm": 0.46, |
|
|
"acc_norm_stderr": 0.05009082659620333 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.54, |
|
|
"acc_stderr": 0.05009082659620333, |
|
|
"acc_norm": 0.54, |
|
|
"acc_norm_stderr": 0.05009082659620333 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.29, |
|
|
"acc_stderr": 0.04560480215720684, |
|
|
"acc_norm": 0.29, |
|
|
"acc_norm_stderr": 0.04560480215720684 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.653179190751445, |
|
|
"acc_stderr": 0.036291466701596636, |
|
|
"acc_norm": 0.653179190751445, |
|
|
"acc_norm_stderr": 0.036291466701596636 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.46078431372549017, |
|
|
"acc_stderr": 0.04959859966384181, |
|
|
"acc_norm": 0.46078431372549017, |
|
|
"acc_norm_stderr": 0.04959859966384181 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.73, |
|
|
"acc_stderr": 0.044619604333847394, |
|
|
"acc_norm": 0.73, |
|
|
"acc_norm_stderr": 0.044619604333847394 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.548936170212766, |
|
|
"acc_stderr": 0.032529096196131965, |
|
|
"acc_norm": 0.548936170212766, |
|
|
"acc_norm_stderr": 0.032529096196131965 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.4824561403508772, |
|
|
"acc_stderr": 0.04700708033551038, |
|
|
"acc_norm": 0.4824561403508772, |
|
|
"acc_norm_stderr": 0.04700708033551038 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5724137931034483, |
|
|
"acc_stderr": 0.04122737111370332, |
|
|
"acc_norm": 0.5724137931034483, |
|
|
"acc_norm_stderr": 0.04122737111370332 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.42328042328042326, |
|
|
"acc_stderr": 0.025446365634406796, |
|
|
"acc_norm": 0.42328042328042326, |
|
|
"acc_norm_stderr": 0.025446365634406796 |
|
|
}, |
|
|
"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": 0.35, |
|
|
"acc_stderr": 0.047937248544110196, |
|
|
"acc_norm": 0.35, |
|
|
"acc_norm_stderr": 0.047937248544110196 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.7741935483870968, |
|
|
"acc_stderr": 0.023785577884181012, |
|
|
"acc_norm": 0.7741935483870968, |
|
|
"acc_norm_stderr": 0.023785577884181012 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.47783251231527096, |
|
|
"acc_stderr": 0.03514528562175008, |
|
|
"acc_norm": 0.47783251231527096, |
|
|
"acc_norm_stderr": 0.03514528562175008 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.75, |
|
|
"acc_stderr": 0.04351941398892446, |
|
|
"acc_norm": 0.75, |
|
|
"acc_norm_stderr": 0.04351941398892446 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.793939393939394, |
|
|
"acc_stderr": 0.0315841532404771, |
|
|
"acc_norm": 0.793939393939394, |
|
|
"acc_norm_stderr": 0.0315841532404771 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.7676767676767676, |
|
|
"acc_stderr": 0.030088629490217487, |
|
|
"acc_norm": 0.7676767676767676, |
|
|
"acc_norm_stderr": 0.030088629490217487 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.9067357512953368, |
|
|
"acc_stderr": 0.020986854593289733, |
|
|
"acc_norm": 0.9067357512953368, |
|
|
"acc_norm_stderr": 0.020986854593289733 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.6743589743589744, |
|
|
"acc_stderr": 0.02375966576741229, |
|
|
"acc_norm": 0.6743589743589744, |
|
|
"acc_norm_stderr": 0.02375966576741229 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.36666666666666664, |
|
|
"acc_stderr": 0.029381620726465066, |
|
|
"acc_norm": 0.36666666666666664, |
|
|
"acc_norm_stderr": 0.029381620726465066 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.6890756302521008, |
|
|
"acc_stderr": 0.03006676158297793, |
|
|
"acc_norm": 0.6890756302521008, |
|
|
"acc_norm_stderr": 0.03006676158297793 |
|
|
}, |
|
|
"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": 0.8495412844036697, |
|
|
"acc_stderr": 0.015328563932669237, |
|
|
"acc_norm": 0.8495412844036697, |
|
|
"acc_norm_stderr": 0.015328563932669237 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.5416666666666666, |
|
|
"acc_stderr": 0.03398110890294636, |
|
|
"acc_norm": 0.5416666666666666, |
|
|
"acc_norm_stderr": 0.03398110890294636 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.7745098039215687, |
|
|
"acc_stderr": 0.029331162294251735, |
|
|
"acc_norm": 0.7745098039215687, |
|
|
"acc_norm_stderr": 0.029331162294251735 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.8016877637130801, |
|
|
"acc_stderr": 0.025955020841621115, |
|
|
"acc_norm": 0.8016877637130801, |
|
|
"acc_norm_stderr": 0.025955020841621115 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6681614349775785, |
|
|
"acc_stderr": 0.031602951437766785, |
|
|
"acc_norm": 0.6681614349775785, |
|
|
"acc_norm_stderr": 0.031602951437766785 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.7786259541984732, |
|
|
"acc_stderr": 0.03641297081313729, |
|
|
"acc_norm": 0.7786259541984732, |
|
|
"acc_norm_stderr": 0.03641297081313729 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.8016528925619835, |
|
|
"acc_stderr": 0.03640118271990945, |
|
|
"acc_norm": 0.8016528925619835, |
|
|
"acc_norm_stderr": 0.03640118271990945 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.7407407407407407, |
|
|
"acc_stderr": 0.042365112580946315, |
|
|
"acc_norm": 0.7407407407407407, |
|
|
"acc_norm_stderr": 0.042365112580946315 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7423312883435583, |
|
|
"acc_stderr": 0.03436150827846917, |
|
|
"acc_norm": 0.7423312883435583, |
|
|
"acc_norm_stderr": 0.03436150827846917 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.44642857142857145, |
|
|
"acc_stderr": 0.04718471485219588, |
|
|
"acc_norm": 0.44642857142857145, |
|
|
"acc_norm_stderr": 0.04718471485219588 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.8058252427184466, |
|
|
"acc_stderr": 0.03916667762822584, |
|
|
"acc_norm": 0.8058252427184466, |
|
|
"acc_norm_stderr": 0.03916667762822584 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8846153846153846, |
|
|
"acc_stderr": 0.020930193185179333, |
|
|
"acc_norm": 0.8846153846153846, |
|
|
"acc_norm_stderr": 0.020930193185179333 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.75, |
|
|
"acc_stderr": 0.04351941398892446, |
|
|
"acc_norm": 0.75, |
|
|
"acc_norm_stderr": 0.04351941398892446 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.8160919540229885, |
|
|
"acc_stderr": 0.01385372417092253, |
|
|
"acc_norm": 0.8160919540229885, |
|
|
"acc_norm_stderr": 0.01385372417092253 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.7138728323699421, |
|
|
"acc_stderr": 0.024332146779134128, |
|
|
"acc_norm": 0.7138728323699421, |
|
|
"acc_norm_stderr": 0.024332146779134128 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.3843575418994413, |
|
|
"acc_stderr": 0.0162690886639594, |
|
|
"acc_norm": 0.3843575418994413, |
|
|
"acc_norm_stderr": 0.0162690886639594 |
|
|
}, |
|
|
"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": 0.02623696588115327, |
|
|
"acc_norm": 0.6913183279742765, |
|
|
"acc_norm_stderr": 0.02623696588115327 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.7314814814814815, |
|
|
"acc_stderr": 0.024659685185967284, |
|
|
"acc_norm": 0.7314814814814815, |
|
|
"acc_norm_stderr": 0.024659685185967284 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.4787234042553192, |
|
|
"acc_stderr": 0.029800481645628693, |
|
|
"acc_norm": 0.4787234042553192, |
|
|
"acc_norm_stderr": 0.029800481645628693 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.4471968709256845, |
|
|
"acc_stderr": 0.012698825252435108, |
|
|
"acc_norm": 0.4471968709256845, |
|
|
"acc_norm_stderr": 0.012698825252435108 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6875, |
|
|
"acc_stderr": 0.02815637344037142, |
|
|
"acc_norm": 0.6875, |
|
|
"acc_norm_stderr": 0.02815637344037142 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6552287581699346, |
|
|
"acc_stderr": 0.01922832201869664, |
|
|
"acc_norm": 0.6552287581699346, |
|
|
"acc_norm_stderr": 0.01922832201869664 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6636363636363637, |
|
|
"acc_stderr": 0.04525393596302506, |
|
|
"acc_norm": 0.6636363636363637, |
|
|
"acc_norm_stderr": 0.04525393596302506 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.710204081632653, |
|
|
"acc_stderr": 0.02904308868330433, |
|
|
"acc_norm": 0.710204081632653, |
|
|
"acc_norm_stderr": 0.02904308868330433 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.8557213930348259, |
|
|
"acc_stderr": 0.024845753212306046, |
|
|
"acc_norm": 0.8557213930348259, |
|
|
"acc_norm_stderr": 0.024845753212306046 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.85, |
|
|
"acc_stderr": 0.0358870281282637, |
|
|
"acc_norm": 0.85, |
|
|
"acc_norm_stderr": 0.0358870281282637 |
|
|
}, |
|
|
"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": 0.8187134502923976, |
|
|
"acc_stderr": 0.02954774168764004, |
|
|
"acc_norm": 0.8187134502923976, |
|
|
"acc_norm_stderr": 0.02954774168764004 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.46266829865361075, |
|
|
"mc1_stderr": 0.017454645150970588, |
|
|
"mc2": 0.6276115895198878, |
|
|
"mc2_stderr": 0.015378567971079934 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.7947908445146015, |
|
|
"acc_stderr": 0.011350315707462057 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.6004548900682335, |
|
|
"acc_stderr": 0.01349166029881599 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
