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--- |
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pretty_name: Evaluation run of BarraHome/Mistroll-7B-v0.1-16bit |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [BarraHome/Mistroll-7B-v0.1-16bit](https://huggingface.co/BarraHome/Mistroll-7B-v0.1-16bit)\ |
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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_BarraHome__Mistroll-7B-v0.1-16bit\"\ |
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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 2024-02-21T08:06:00.383239](https://huggingface.co/datasets/open-llm-leaderboard/details_BarraHome__Mistroll-7B-v0.1-16bit/blob/main/results_2024-02-21T08-06-00.383239.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\": 0.6032184784518743,\n\ |
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|
\ \"acc_stderr\": 0.03333730204729809,\n \"acc_norm\": 0.607891645213564,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03401402537730786,\n \"mc1\": 0.5226438188494492,\n\ |
|
|
\ \"mc1_stderr\": 0.01748554225848964,\n \"mc2\": 0.6766513448639357,\n\ |
|
|
\ \"mc2_stderr\": 0.015264009667659464\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.575938566552901,\n \"acc_stderr\": 0.014441889627464392,\n\ |
|
|
\ \"acc_norm\": 0.6220136518771331,\n \"acc_norm_stderr\": 0.0141696645203031\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6612228639713205,\n\ |
|
|
\ \"acc_stderr\": 0.004723266971563391,\n \"acc_norm\": 0.8481378211511651,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0035815378475817935\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ |
|
|
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\ |
|
|
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.625,\n \"acc_stderr\": 0.039397364351956274,\n \ |
|
|
\ \"acc_norm\": 0.625,\n \"acc_norm_stderr\": 0.039397364351956274\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ |
|
|
\ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ |
|
|
\ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\ |
|
|
\ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6597222222222222,\n\ |
|
|
\ \"acc_stderr\": 0.039621355734862175,\n \"acc_norm\": 0.6597222222222222,\n\ |
|
|
\ \"acc_norm_stderr\": 0.039621355734862175\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ |
|
|
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ |
|
|
: 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.47,\n\ |
|
|
\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ |
|
|
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5838150289017341,\n\ |
|
|
\ \"acc_stderr\": 0.03758517775404947,\n \"acc_norm\": 0.5838150289017341,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03758517775404947\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ |
|
|
\ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.5148936170212766,\n \"acc_stderr\": 0.03267151848924777,\n\ |
|
|
\ \"acc_norm\": 0.5148936170212766,\n \"acc_norm_stderr\": 0.03267151848924777\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.43859649122807015,\n\ |
|
|
\ \"acc_stderr\": 0.04668000738510455,\n \"acc_norm\": 0.43859649122807015,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04668000738510455\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.041227371113703316,\n\ |
|
|
\ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.041227371113703316\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137602,\n \"\ |
|
|
acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137602\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3888888888888889,\n\ |
|
|
\ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ |
|
|
\ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ |
|
|
: 0.6774193548387096,\n \"acc_stderr\": 0.026593084516572277,\n \"\ |
|
|
acc_norm\": 0.6774193548387096,\n \"acc_norm_stderr\": 0.026593084516572277\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\": 0.61,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\"\ |
|
|
: 0.61,\n \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7212121212121212,\n \"acc_stderr\": 0.03501438706296781,\n\ |
|
|
\ \"acc_norm\": 0.7212121212121212,\n \"acc_norm_stderr\": 0.03501438706296781\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\ |
|
|
acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153314,\n\ |
|
|
\ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153314\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.5564102564102564,\n \"acc_stderr\": 0.0251891498947642,\n \ |
|
|
\ \"acc_norm\": 0.5564102564102564,\n \"acc_norm_stderr\": 0.0251891498947642\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \ |
|
|
\ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.634453781512605,\n \"acc_stderr\": 0.031282177063684614,\n \ |
|
|
\ \"acc_norm\": 0.634453781512605,\n \"acc_norm_stderr\": 0.031282177063684614\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ |
|
|
acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.8018348623853211,\n \"acc_stderr\": 0.017090573804217905,\n \"\ |
|
|
acc_norm\": 0.8018348623853211,\n \"acc_norm_stderr\": 0.017090573804217905\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.4398148148148148,\n \"acc_stderr\": 0.03385177976044812,\n \"\ |
|
|
acc_norm\": 0.4398148148148148,\n \"acc_norm_stderr\": 0.03385177976044812\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.7549019607843137,\n \"acc_stderr\": 0.03019028245350195,\n \"\ |
|
|
acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.03019028245350195\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \ |
|
|
\ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6322869955156951,\n\ |
|
|
\ \"acc_stderr\": 0.03236198350928275,\n \"acc_norm\": 0.6322869955156951,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03236198350928275\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.040393149787245605,\n\ |
|
|
\ \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.040393149787245605\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ |
|
|
acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7037037037037037,\n\ |
|
|
\ \"acc_stderr\": 0.04414343666854933,\n \"acc_norm\": 0.7037037037037037,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04414343666854933\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7300613496932515,\n \"acc_stderr\": 0.03487825168497892,\n\ |
|
|
\ \"acc_norm\": 0.7300613496932515,\n \"acc_norm_stderr\": 0.03487825168497892\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\ |
|
|
\ \"acc_stderr\": 0.04726835553719099,\n \"acc_norm\": 0.45535714285714285,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04726835553719099\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ |
|
|
\ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\ |
|
|
\ \"acc_stderr\": 0.022801382534597552,\n \"acc_norm\": 0.8589743589743589,\n\ |
|
|
\ \"acc_norm_stderr\": 0.022801382534597552\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.68,\n \"acc_stderr\": 0.046882617226215034,\n \ |
|
|
\ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.046882617226215034\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7739463601532567,\n\ |
|
|
\ \"acc_stderr\": 0.014957458504335842,\n \"acc_norm\": 0.7739463601532567,\n\ |
|
|
\ \"acc_norm_stderr\": 0.014957458504335842\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.6676300578034682,\n \"acc_stderr\": 0.025361168749688225,\n\ |
|
|
\ \"acc_norm\": 0.6676300578034682,\n \"acc_norm_stderr\": 0.025361168749688225\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.34972067039106147,\n\ |
|
|
\ \"acc_stderr\": 0.01594930879023364,\n \"acc_norm\": 0.34972067039106147,\n\ |
|
|
\ \"acc_norm_stderr\": 0.01594930879023364\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.6797385620915033,\n \"acc_stderr\": 0.02671611838015685,\n\ |
|
|
\ \"acc_norm\": 0.6797385620915033,\n \"acc_norm_stderr\": 0.02671611838015685\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6752411575562701,\n\ |
|
|
\ \"acc_stderr\": 0.026596782287697043,\n \"acc_norm\": 0.6752411575562701,\n\ |
|
|
\ \"acc_norm_stderr\": 0.026596782287697043\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.6759259259259259,\n \"acc_stderr\": 0.02604176620271716,\n\ |
|
|
\ \"acc_norm\": 0.6759259259259259,\n \"acc_norm_stderr\": 0.02604176620271716\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.450354609929078,\n \"acc_stderr\": 0.029680105565029036,\n \ |
|
|
\ \"acc_norm\": 0.450354609929078,\n \"acc_norm_stderr\": 0.029680105565029036\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.42698826597131684,\n\ |
|
|
\ \"acc_stderr\": 0.012633353557534427,\n \"acc_norm\": 0.42698826597131684,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012633353557534427\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.5992647058823529,\n \"acc_stderr\": 0.029768263528933105,\n\ |
|
|
\ \"acc_norm\": 0.5992647058823529,\n \"acc_norm_stderr\": 0.029768263528933105\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6111111111111112,\n \"acc_stderr\": 0.019722058939618068,\n \ |
|
|
\ \"acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.019722058939618068\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7,\n\ |
|
|
\ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.0282638899437846,\n\ |
|
|
\ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.0282638899437846\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7512437810945274,\n\ |
|
|
\ \"acc_stderr\": 0.030567675938916714,\n \"acc_norm\": 0.7512437810945274,\n\ |
|
|
\ \"acc_norm_stderr\": 0.030567675938916714\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \ |
|
|
\ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\ |
|
|
\ \"acc_stderr\": 0.03891364495835816,\n \"acc_norm\": 0.5120481927710844,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03891364495835816\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ |
|
|
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5226438188494492,\n\ |
|
|
\ \"mc1_stderr\": 0.01748554225848964,\n \"mc2\": 0.6766513448639357,\n\ |
|
|
\ \"mc2_stderr\": 0.015264009667659464\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.7679558011049724,\n \"acc_stderr\": 0.011864149691827936\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3957543593631539,\n \ |
|
|
\ \"acc_stderr\": 0.013469823701048815\n }\n}\n```" |
|
|
repo_url: https://huggingface.co/BarraHome/Mistroll-7B-v0.1-16bit |
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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: |
|
|
- config_name: harness_arc_challenge_25 |
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|
data_files: |
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- split: 2024_02_21T08_06_00.383239 |
|
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path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-21T08-06-00.383239.parquet' |
|
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
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|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|gsm8k|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|gsm8k|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hellaswag_10 |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hellaswag|10_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hellaswag|10_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-21T08-06-00.383239.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-21T08-06-00.383239.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_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-21T08-06-00.383239.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-21T08-06-00.383239.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_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- split: 2024_02_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-21T08-06-00.383239.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_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-21T08-06-00.383239.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_21T08_06_00.383239 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-21T08-06-00.383239.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-21T08-06-00.383239.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-21T08-06-00.383239.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_21T08_06_00.383239 |
|
|
path: |
|
|
- results_2024-02-21T08-06-00.383239.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-21T08-06-00.383239.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of BarraHome/Mistroll-7B-v0.1-16bit |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
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|
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|
Dataset automatically created during the evaluation run of model [BarraHome/Mistroll-7B-v0.1-16bit](https://huggingface.co/BarraHome/Mistroll-7B-v0.1-16bit) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). |
|
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|
|
|
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. |
|
|
|
|
|
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. |
|
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|
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). |
|
|
|
|
|
To load the details from a run, you can for instance do the following: |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
data = load_dataset("open-llm-leaderboard/details_BarraHome__Mistroll-7B-v0.1-16bit", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
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|
These are the [latest results from run 2024-02-21T08:06:00.383239](https://huggingface.co/datasets/open-llm-leaderboard/details_BarraHome__Mistroll-7B-v0.1-16bit/blob/main/results_2024-02-21T08-06-00.383239.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": 0.6032184784518743, |
|
|
"acc_stderr": 0.03333730204729809, |
|
|
"acc_norm": 0.607891645213564, |
|
|
"acc_norm_stderr": 0.03401402537730786, |
|
|
"mc1": 0.5226438188494492, |
|
|
"mc1_stderr": 0.01748554225848964, |
|
|
"mc2": 0.6766513448639357, |
|
|
"mc2_stderr": 0.015264009667659464 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.575938566552901, |
|
|
"acc_stderr": 0.014441889627464392, |
|
|
"acc_norm": 0.6220136518771331, |
|
|
"acc_norm_stderr": 0.0141696645203031 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.6612228639713205, |
|
|
"acc_stderr": 0.004723266971563391, |
|
|
"acc_norm": 0.8481378211511651, |
|
|
"acc_norm_stderr": 0.0035815378475817935 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.36, |
|
|
"acc_stderr": 0.04824181513244218, |
|
|
"acc_norm": 0.36, |
|
|
"acc_norm_stderr": 0.04824181513244218 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.5777777777777777, |
|
|
"acc_stderr": 0.04266763404099582, |
|
|
"acc_norm": 0.5777777777777777, |
|
|
"acc_norm_stderr": 0.04266763404099582 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.625, |
|
|
"acc_stderr": 0.039397364351956274, |
|
|
"acc_norm": 0.625, |
|
|
"acc_norm_stderr": 0.039397364351956274 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.58, |
|
|
"acc_stderr": 0.049604496374885836, |
|
|
"acc_norm": 0.58, |
|
|
"acc_norm_stderr": 0.049604496374885836 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.6754716981132075, |
|
|
"acc_stderr": 0.02881561571343211, |
|
|
"acc_norm": 0.6754716981132075, |
|
|
"acc_norm_stderr": 0.02881561571343211 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.6597222222222222, |
|
|
"acc_stderr": 0.039621355734862175, |
|
|
"acc_norm": 0.6597222222222222, |
|
|
"acc_norm_stderr": 0.039621355734862175 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.37, |
|
|
"acc_stderr": 0.04852365870939099, |
|
|
"acc_norm": 0.37, |
|
|
"acc_norm_stderr": 0.04852365870939099 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.47, |
|
|
"acc_stderr": 0.05016135580465919, |
|
|
"acc_norm": 0.47, |
|
|
"acc_norm_stderr": 0.05016135580465919 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.38, |
|
|
"acc_stderr": 0.048783173121456316, |
|
|
"acc_norm": 0.38, |
|
|
"acc_norm_stderr": 0.048783173121456316 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.5838150289017341, |
|
|
"acc_stderr": 0.03758517775404947, |
|
|
"acc_norm": 0.5838150289017341, |
|
|
"acc_norm_stderr": 0.03758517775404947 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.43137254901960786, |
|
|
"acc_stderr": 0.04928099597287534, |
|
|
"acc_norm": 0.43137254901960786, |
|
|
"acc_norm_stderr": 0.04928099597287534 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.72, |
|
|
"acc_stderr": 0.04512608598542128, |
|
|
"acc_norm": 0.72, |
|
|
"acc_norm_stderr": 0.04512608598542128 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.5148936170212766, |
|
|
"acc_stderr": 0.03267151848924777, |
|
|
"acc_norm": 0.5148936170212766, |
|
|
"acc_norm_stderr": 0.03267151848924777 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.43859649122807015, |
|
|
"acc_stderr": 0.04668000738510455, |
|
|
"acc_norm": 0.43859649122807015, |
|
|
"acc_norm_stderr": 0.04668000738510455 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5724137931034483, |
|
|
"acc_stderr": 0.041227371113703316, |
|
|
"acc_norm": 0.5724137931034483, |
|
|
"acc_norm_stderr": 0.041227371113703316 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.38095238095238093, |
|
|
"acc_stderr": 0.025010749116137602, |
|
|
"acc_norm": 0.38095238095238093, |
|
|
"acc_norm_stderr": 0.025010749116137602 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.3888888888888889, |
|
|
"acc_stderr": 0.04360314860077459, |
|
|
"acc_norm": 0.3888888888888889, |
|
|
"acc_norm_stderr": 0.04360314860077459 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.41, |
|
|
"acc_stderr": 0.049431107042371025, |
|
|
"acc_norm": 0.41, |
|
|
"acc_norm_stderr": 0.049431107042371025 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.6774193548387096, |
|
|
"acc_stderr": 0.026593084516572277, |
|
|
"acc_norm": 0.6774193548387096, |
|
|
"acc_norm_stderr": 0.026593084516572277 |
|
|
}, |
|
|
"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": 0.61, |
|
|
"acc_stderr": 0.04902071300001975, |
|
|
"acc_norm": 0.61, |
|
|
"acc_norm_stderr": 0.04902071300001975 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7212121212121212, |
|
|
"acc_stderr": 0.03501438706296781, |
|
|
"acc_norm": 0.7212121212121212, |
|
|
"acc_norm_stderr": 0.03501438706296781 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.7474747474747475, |
|
|
"acc_stderr": 0.030954055470365897, |
|
|
"acc_norm": 0.7474747474747475, |
|
|
"acc_norm_stderr": 0.030954055470365897 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.844559585492228, |
|
|
"acc_stderr": 0.026148483469153314, |
|
|
"acc_norm": 0.844559585492228, |
|
|
"acc_norm_stderr": 0.026148483469153314 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.5564102564102564, |
|
|
"acc_stderr": 0.0251891498947642, |
|
|
"acc_norm": 0.5564102564102564, |
|
|
"acc_norm_stderr": 0.0251891498947642 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.337037037037037, |
|
|
"acc_stderr": 0.028820884666253255, |
|
|
"acc_norm": 0.337037037037037, |
|
|
"acc_norm_stderr": 0.028820884666253255 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.634453781512605, |
|
|
"acc_stderr": 0.031282177063684614, |
|
|
"acc_norm": 0.634453781512605, |
|
|
"acc_norm_stderr": 0.031282177063684614 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.3443708609271523, |
|
|
"acc_stderr": 0.038796870240733264, |
|
|
"acc_norm": 0.3443708609271523, |
|
|
"acc_norm_stderr": 0.038796870240733264 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.8018348623853211, |
|
|
"acc_stderr": 0.017090573804217905, |
|
|
"acc_norm": 0.8018348623853211, |
|
|
"acc_norm_stderr": 0.017090573804217905 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.4398148148148148, |
|
|
"acc_stderr": 0.03385177976044812, |
|
|
"acc_norm": 0.4398148148148148, |
|
|
"acc_norm_stderr": 0.03385177976044812 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.7549019607843137, |
|
|
"acc_stderr": 0.03019028245350195, |
|
|
"acc_norm": 0.7549019607843137, |
|
|
"acc_norm_stderr": 0.03019028245350195 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7510548523206751, |
|
|
"acc_stderr": 0.028146970599422644, |
|
|
"acc_norm": 0.7510548523206751, |
|
|
"acc_norm_stderr": 0.028146970599422644 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6322869955156951, |
|
|
"acc_stderr": 0.03236198350928275, |
|
|
"acc_norm": 0.6322869955156951, |
|
|
"acc_norm_stderr": 0.03236198350928275 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.6946564885496184, |
|
|
"acc_stderr": 0.040393149787245605, |
|
|
"acc_norm": 0.6946564885496184, |
|
|
"acc_norm_stderr": 0.040393149787245605 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.7933884297520661, |
|
|
"acc_stderr": 0.03695980128098824, |
|
|
"acc_norm": 0.7933884297520661, |
|
|
"acc_norm_stderr": 0.03695980128098824 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.7037037037037037, |
|
|
"acc_stderr": 0.04414343666854933, |
|
|
"acc_norm": 0.7037037037037037, |
|
|
"acc_norm_stderr": 0.04414343666854933 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7300613496932515, |
|
|
"acc_stderr": 0.03487825168497892, |
|
|
"acc_norm": 0.7300613496932515, |
|
|
"acc_norm_stderr": 0.03487825168497892 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.45535714285714285, |
|
|
"acc_stderr": 0.04726835553719099, |
|
|
"acc_norm": 0.45535714285714285, |
|
|
"acc_norm_stderr": 0.04726835553719099 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7475728155339806, |
|
|
"acc_stderr": 0.04301250399690878, |
|
|
"acc_norm": 0.7475728155339806, |
|
|
"acc_norm_stderr": 0.04301250399690878 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8589743589743589, |
|
|
"acc_stderr": 0.022801382534597552, |
|
|
"acc_norm": 0.8589743589743589, |
|
|
"acc_norm_stderr": 0.022801382534597552 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.68, |
|
|
"acc_stderr": 0.046882617226215034, |
|
|
"acc_norm": 0.68, |
|
|
"acc_norm_stderr": 0.046882617226215034 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.7739463601532567, |
|
|
"acc_stderr": 0.014957458504335842, |
|
|
"acc_norm": 0.7739463601532567, |
|
|
"acc_norm_stderr": 0.014957458504335842 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.6676300578034682, |
|
|
"acc_stderr": 0.025361168749688225, |
|
|
"acc_norm": 0.6676300578034682, |
|
|
"acc_norm_stderr": 0.025361168749688225 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.34972067039106147, |
|
|
"acc_stderr": 0.01594930879023364, |
|
|
"acc_norm": 0.34972067039106147, |
|
|
"acc_norm_stderr": 0.01594930879023364 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.6797385620915033, |
|
|
"acc_stderr": 0.02671611838015685, |
|
|
"acc_norm": 0.6797385620915033, |
|
|
"acc_norm_stderr": 0.02671611838015685 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.6752411575562701, |
|
|
"acc_stderr": 0.026596782287697043, |
|
|
"acc_norm": 0.6752411575562701, |
|
|
"acc_norm_stderr": 0.026596782287697043 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.6759259259259259, |
|
|
"acc_stderr": 0.02604176620271716, |
|
|
"acc_norm": 0.6759259259259259, |
|
|
"acc_norm_stderr": 0.02604176620271716 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.450354609929078, |
|
|
"acc_stderr": 0.029680105565029036, |
|
|
"acc_norm": 0.450354609929078, |
|
|
"acc_norm_stderr": 0.029680105565029036 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.42698826597131684, |
|
|
"acc_stderr": 0.012633353557534427, |
|
|
"acc_norm": 0.42698826597131684, |
|
|
"acc_norm_stderr": 0.012633353557534427 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.5992647058823529, |
|
|
"acc_stderr": 0.029768263528933105, |
|
|
"acc_norm": 0.5992647058823529, |
|
|
"acc_norm_stderr": 0.029768263528933105 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6111111111111112, |
|
|
"acc_stderr": 0.019722058939618068, |
|
|
"acc_norm": 0.6111111111111112, |
|
|
"acc_norm_stderr": 0.019722058939618068 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.7, |
|
|
"acc_stderr": 0.04389311454644287, |
|
|
"acc_norm": 0.7, |
|
|
"acc_norm_stderr": 0.04389311454644287 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.7346938775510204, |
|
|
"acc_stderr": 0.0282638899437846, |
|
|
"acc_norm": 0.7346938775510204, |
|
|
"acc_norm_stderr": 0.0282638899437846 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.7512437810945274, |
|
|
"acc_stderr": 0.030567675938916714, |
|
|
"acc_norm": 0.7512437810945274, |
|
|
"acc_norm_stderr": 0.030567675938916714 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.81, |
|
|
"acc_stderr": 0.039427724440366255, |
|
|
"acc_norm": 0.81, |
|
|
"acc_norm_stderr": 0.039427724440366255 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5120481927710844, |
|
|
"acc_stderr": 0.03891364495835816, |
|
|
"acc_norm": 0.5120481927710844, |
|
|
"acc_norm_stderr": 0.03891364495835816 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8245614035087719, |
|
|
"acc_stderr": 0.029170885500727665, |
|
|
"acc_norm": 0.8245614035087719, |
|
|
"acc_norm_stderr": 0.029170885500727665 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.5226438188494492, |
|
|
"mc1_stderr": 0.01748554225848964, |
|
|
"mc2": 0.6766513448639357, |
|
|
"mc2_stderr": 0.015264009667659464 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.7679558011049724, |
|
|
"acc_stderr": 0.011864149691827936 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.3957543593631539, |
|
|
"acc_stderr": 0.013469823701048815 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
