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--- |
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pretty_name: Evaluation run of macadeliccc/SmaugDolphin-60B |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [macadeliccc/SmaugDolphin-60B](https://huggingface.co/macadeliccc/SmaugDolphin-60B)\ |
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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_macadeliccc__SmaugDolphin-60B\"\ |
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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 2024-02-17T06:01:33.258417](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__SmaugDolphin-60B/blob/main/results_2024-02-17T06-01-33.258417.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\": 0.7651915724176592,\n\ |
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|
\ \"acc_stderr\": 0.02813245689172726,\n \"acc_norm\": 0.7689266432773564,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02866672384399442,\n \"mc1\": 0.5006119951040392,\n\ |
|
|
\ \"mc1_stderr\": 0.01750348793889251,\n \"mc2\": 0.6743783536659786,\n\ |
|
|
\ \"mc2_stderr\": 0.014425170450824752\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.697098976109215,\n \"acc_stderr\": 0.013428241573185349,\n\ |
|
|
\ \"acc_norm\": 0.7337883959044369,\n \"acc_norm_stderr\": 0.012915774781523217\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6674965146385182,\n\ |
|
|
\ \"acc_stderr\": 0.004701474865207032,\n \"acc_norm\": 0.8654650468034256,\n\ |
|
|
\ \"acc_norm_stderr\": 0.003405288007233201\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.7333333333333333,\n\ |
|
|
\ \"acc_stderr\": 0.038201699145179055,\n \"acc_norm\": 0.7333333333333333,\n\ |
|
|
\ \"acc_norm_stderr\": 0.038201699145179055\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.875,\n \"acc_stderr\": 0.026913523521537846,\n \ |
|
|
\ \"acc_norm\": 0.875,\n \"acc_norm_stderr\": 0.026913523521537846\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.78,\n\ |
|
|
\ \"acc_stderr\": 0.04163331998932262,\n \"acc_norm\": 0.78,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04163331998932262\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.7924528301886793,\n \"acc_stderr\": 0.02495991802891127,\n\ |
|
|
\ \"acc_norm\": 0.7924528301886793,\n \"acc_norm_stderr\": 0.02495991802891127\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.9027777777777778,\n\ |
|
|
\ \"acc_stderr\": 0.024774516250440182,\n \"acc_norm\": 0.9027777777777778,\n\ |
|
|
\ \"acc_norm_stderr\": 0.024774516250440182\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \ |
|
|
\ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ |
|
|
: 0.62,\n \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\": 0.62,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.7514450867052023,\n\ |
|
|
\ \"acc_stderr\": 0.03295304696818317,\n \"acc_norm\": 0.7514450867052023,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03295304696818317\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.5980392156862745,\n \"acc_stderr\": 0.04878608714466996,\n\ |
|
|
\ \"acc_norm\": 0.5980392156862745,\n \"acc_norm_stderr\": 0.04878608714466996\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.7574468085106383,\n \"acc_stderr\": 0.02802022627120022,\n\ |
|
|
\ \"acc_norm\": 0.7574468085106383,\n \"acc_norm_stderr\": 0.02802022627120022\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5964912280701754,\n\ |
|
|
\ \"acc_stderr\": 0.04615186962583707,\n \"acc_norm\": 0.5964912280701754,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04615186962583707\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.7517241379310344,\n \"acc_stderr\": 0.036001056927277696,\n\ |
|
|
\ \"acc_norm\": 0.7517241379310344,\n \"acc_norm_stderr\": 0.036001056927277696\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.7275132275132276,\n \"acc_stderr\": 0.022930973071633363,\n \"\ |
|
|
acc_norm\": 0.7275132275132276,\n \"acc_norm_stderr\": 0.022930973071633363\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5793650793650794,\n\ |
|
|
\ \"acc_stderr\": 0.04415438226743745,\n \"acc_norm\": 0.5793650793650794,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04415438226743745\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \ |
|
|
\ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.896774193548387,\n\ |
|
|
\ \"acc_stderr\": 0.01730838128103452,\n \"acc_norm\": 0.896774193548387,\n\ |
|
|
\ \"acc_norm_stderr\": 0.01730838128103452\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.6798029556650246,\n \"acc_stderr\": 0.032826493853041504,\n\ |
|
|
\ \"acc_norm\": 0.6798029556650246,\n \"acc_norm_stderr\": 0.032826493853041504\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\"\ |
|
|
: 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.8727272727272727,\n \"acc_stderr\": 0.026024657651656177,\n\ |
|
|
\ \"acc_norm\": 0.8727272727272727,\n \"acc_norm_stderr\": 0.026024657651656177\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.9292929292929293,\n \"acc_stderr\": 0.01826310542019949,\n \"\ |
|
|
acc_norm\": 0.9292929292929293,\n \"acc_norm_stderr\": 0.01826310542019949\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.9844559585492227,\n \"acc_stderr\": 0.008927492715084329,\n\ |
|
|
\ \"acc_norm\": 0.9844559585492227,\n \"acc_norm_stderr\": 0.008927492715084329\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.8128205128205128,\n \"acc_stderr\": 0.019776601086550032,\n\ |
|
|
\ \"acc_norm\": 0.8128205128205128,\n \"acc_norm_stderr\": 0.019776601086550032\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.44814814814814813,\n \"acc_stderr\": 0.030321167196316286,\n \ |
|
|
\ \"acc_norm\": 0.44814814814814813,\n \"acc_norm_stderr\": 0.030321167196316286\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.8697478991596639,\n \"acc_stderr\": 0.021863258494852107,\n\ |
|
|
\ \"acc_norm\": 0.8697478991596639,\n \"acc_norm_stderr\": 0.021863258494852107\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.4900662251655629,\n \"acc_stderr\": 0.04081677107248436,\n \"\ |
|
|
acc_norm\": 0.4900662251655629,\n \"acc_norm_stderr\": 0.04081677107248436\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.9137614678899083,\n \"acc_stderr\": 0.012035597300116241,\n \"\ |
|
|
acc_norm\": 0.9137614678899083,\n \"acc_norm_stderr\": 0.012035597300116241\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.6388888888888888,\n \"acc_stderr\": 0.032757734861009996,\n \"\ |
|
|
acc_norm\": 0.6388888888888888,\n \"acc_norm_stderr\": 0.032757734861009996\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.9313725490196079,\n \"acc_stderr\": 0.017744453647073322,\n \"\ |
|
|
acc_norm\": 0.9313725490196079,\n \"acc_norm_stderr\": 0.017744453647073322\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.9071729957805907,\n \"acc_stderr\": 0.01888975055095671,\n \ |
|
|
\ \"acc_norm\": 0.9071729957805907,\n \"acc_norm_stderr\": 0.01888975055095671\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8161434977578476,\n\ |
|
|
\ \"acc_stderr\": 0.025998379092356517,\n \"acc_norm\": 0.8161434977578476,\n\ |
|
|
\ \"acc_norm_stderr\": 0.025998379092356517\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.9007633587786259,\n \"acc_stderr\": 0.026222235171477374,\n\ |
|
|
\ \"acc_norm\": 0.9007633587786259,\n \"acc_norm_stderr\": 0.026222235171477374\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035216,\n \"\ |
|
|
acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035216\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8796296296296297,\n\ |
|
|
\ \"acc_stderr\": 0.031457038543062504,\n \"acc_norm\": 0.8796296296296297,\n\ |
|
|
\ \"acc_norm_stderr\": 0.031457038543062504\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.852760736196319,\n \"acc_stderr\": 0.027839915278339653,\n\ |
|
|
\ \"acc_norm\": 0.852760736196319,\n \"acc_norm_stderr\": 0.027839915278339653\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5714285714285714,\n\ |
|
|
\ \"acc_stderr\": 0.04697113923010213,\n \"acc_norm\": 0.5714285714285714,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04697113923010213\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.8640776699029126,\n \"acc_stderr\": 0.0339329572976101,\n\ |
|
|
\ \"acc_norm\": 0.8640776699029126,\n \"acc_norm_stderr\": 0.0339329572976101\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9358974358974359,\n\ |
|
|
\ \"acc_stderr\": 0.016046261631673137,\n \"acc_norm\": 0.9358974358974359,\n\ |
|
|
\ \"acc_norm_stderr\": 0.016046261631673137\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \ |
|
|
\ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9106002554278416,\n\ |
|
|
\ \"acc_stderr\": 0.0102030178476883,\n \"acc_norm\": 0.9106002554278416,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0102030178476883\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.8208092485549133,\n \"acc_stderr\": 0.020647590029679332,\n\ |
|
|
\ \"acc_norm\": 0.8208092485549133,\n \"acc_norm_stderr\": 0.020647590029679332\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.7955307262569833,\n\ |
|
|
\ \"acc_stderr\": 0.013488813404711917,\n \"acc_norm\": 0.7955307262569833,\n\ |
|
|
\ \"acc_norm_stderr\": 0.013488813404711917\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.8496732026143791,\n \"acc_stderr\": 0.020464175124332625,\n\ |
|
|
\ \"acc_norm\": 0.8496732026143791,\n \"acc_norm_stderr\": 0.020464175124332625\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7942122186495176,\n\ |
|
|
\ \"acc_stderr\": 0.022961339906764244,\n \"acc_norm\": 0.7942122186495176,\n\ |
|
|
\ \"acc_norm_stderr\": 0.022961339906764244\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.8827160493827161,\n \"acc_stderr\": 0.017903112615281127,\n\ |
|
|
\ \"acc_norm\": 0.8827160493827161,\n \"acc_norm_stderr\": 0.017903112615281127\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.6418439716312057,\n \"acc_stderr\": 0.028602085862759422,\n \ |
|
|
\ \"acc_norm\": 0.6418439716312057,\n \"acc_norm_stderr\": 0.028602085862759422\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5853976531942634,\n\ |
|
|
\ \"acc_stderr\": 0.012582597058908284,\n \"acc_norm\": 0.5853976531942634,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012582597058908284\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.8345588235294118,\n \"acc_stderr\": 0.022571771025494746,\n\ |
|
|
\ \"acc_norm\": 0.8345588235294118,\n \"acc_norm_stderr\": 0.022571771025494746\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.8169934640522876,\n \"acc_stderr\": 0.015643069911273344,\n \ |
|
|
\ \"acc_norm\": 0.8169934640522876,\n \"acc_norm_stderr\": 0.015643069911273344\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\": 0.8489795918367347,\n \"acc_stderr\": 0.022923004094736854,\n\ |
|
|
\ \"acc_norm\": 0.8489795918367347,\n \"acc_norm_stderr\": 0.022923004094736854\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8955223880597015,\n\ |
|
|
\ \"acc_stderr\": 0.021628920516700643,\n \"acc_norm\": 0.8955223880597015,\n\ |
|
|
\ \"acc_norm_stderr\": 0.021628920516700643\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \ |
|
|
\ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466125\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5843373493975904,\n\ |
|
|
\ \"acc_stderr\": 0.03836722176598053,\n \"acc_norm\": 0.5843373493975904,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03836722176598053\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8888888888888888,\n \"acc_stderr\": 0.024103384202072864,\n\ |
|
|
\ \"acc_norm\": 0.8888888888888888,\n \"acc_norm_stderr\": 0.024103384202072864\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5006119951040392,\n\ |
|
|
\ \"mc1_stderr\": 0.01750348793889251,\n \"mc2\": 0.6743783536659786,\n\ |
|
|
\ \"mc2_stderr\": 0.014425170450824752\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.835043409629045,\n \"acc_stderr\": 0.010430917468237428\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.709628506444276,\n \ |
|
|
\ \"acc_stderr\": 0.012503592481818954\n }\n}\n```" |
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repo_url: https://huggingface.co/macadeliccc/SmaugDolphin-60B |
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|
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard |
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point_of_contact: [email protected] |
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configs: |
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|
- config_name: harness_arc_challenge_25 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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path: |
|
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- '**/details_harness|arc:challenge|25_2024-02-17T06-01-33.258417.parquet' |
|
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
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- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
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- '**/details_harness|gsm8k|5_2024-02-17T06-01-33.258417.parquet' |
|
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- split: latest |
|
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path: |
|
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- '**/details_harness|gsm8k|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hellaswag_10 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-virology|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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path: |
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|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-17T06-01-33.258417.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T06-01-33.258417.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_17T06_01_33.258417 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T06-01-33.258417.parquet' |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T06-01-33.258417.parquet' |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-17T06-01-33.258417.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_17T06_01_33.258417 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T06-01-33.258417.parquet' |
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path: |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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data_files: |
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- split: 2024_02_17T06_01_33.258417 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T06-01-33.258417.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-17T06-01-33.258417.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_17T06_01_33.258417 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-17T06-01-33.258417.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_17T06_01_33.258417 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T06-01-33.258417.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-17T06-01-33.258417.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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data_files: |
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- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-17T06-01-33.258417.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_17T06_01_33.258417 |
|
|
path: |
|
|
- results_2024-02-17T06-01-33.258417.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-17T06-01-33.258417.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of macadeliccc/SmaugDolphin-60B |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [macadeliccc/SmaugDolphin-60B](https://huggingface.co/macadeliccc/SmaugDolphin-60B) 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_macadeliccc__SmaugDolphin-60B", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-02-17T06:01:33.258417](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__SmaugDolphin-60B/blob/main/results_2024-02-17T06-01-33.258417.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": 0.7651915724176592, |
|
|
"acc_stderr": 0.02813245689172726, |
|
|
"acc_norm": 0.7689266432773564, |
|
|
"acc_norm_stderr": 0.02866672384399442, |
|
|
"mc1": 0.5006119951040392, |
|
|
"mc1_stderr": 0.01750348793889251, |
|
|
"mc2": 0.6743783536659786, |
|
|
"mc2_stderr": 0.014425170450824752 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.697098976109215, |
|
|
"acc_stderr": 0.013428241573185349, |
|
|
"acc_norm": 0.7337883959044369, |
|
|
"acc_norm_stderr": 0.012915774781523217 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.6674965146385182, |
|
|
"acc_stderr": 0.004701474865207032, |
|
|
"acc_norm": 0.8654650468034256, |
|
|
"acc_norm_stderr": 0.003405288007233201 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.47, |
|
|
"acc_stderr": 0.05016135580465919, |
|
|
"acc_norm": 0.47, |
|
|
"acc_norm_stderr": 0.05016135580465919 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.7333333333333333, |
|
|
"acc_stderr": 0.038201699145179055, |
|
|
"acc_norm": 0.7333333333333333, |
|
|
"acc_norm_stderr": 0.038201699145179055 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.875, |
|
|
"acc_stderr": 0.026913523521537846, |
|
|
"acc_norm": 0.875, |
|
|
"acc_norm_stderr": 0.026913523521537846 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.78, |
|
|
"acc_stderr": 0.04163331998932262, |
|
|
"acc_norm": 0.78, |
|
|
"acc_norm_stderr": 0.04163331998932262 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.7924528301886793, |
|
|
"acc_stderr": 0.02495991802891127, |
|
|
"acc_norm": 0.7924528301886793, |
|
|
"acc_norm_stderr": 0.02495991802891127 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.9027777777777778, |
|
|
"acc_stderr": 0.024774516250440182, |
|
|
"acc_norm": 0.9027777777777778, |
|
|
"acc_norm_stderr": 0.024774516250440182 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.51, |
|
|
"acc_stderr": 0.05024183937956912, |
|
|
"acc_norm": 0.51, |
|
|
"acc_norm_stderr": 0.05024183937956912 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.62, |
|
|
"acc_stderr": 0.04878317312145633, |
|
|
"acc_norm": 0.62, |
|
|
"acc_norm_stderr": 0.04878317312145633 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.41, |
|
|
"acc_stderr": 0.049431107042371025, |
|
|
"acc_norm": 0.41, |
|
|
"acc_norm_stderr": 0.049431107042371025 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.7514450867052023, |
|
|
"acc_stderr": 0.03295304696818317, |
|
|
"acc_norm": 0.7514450867052023, |
|
|
"acc_norm_stderr": 0.03295304696818317 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.5980392156862745, |
|
|
"acc_stderr": 0.04878608714466996, |
|
|
"acc_norm": 0.5980392156862745, |
|
|
"acc_norm_stderr": 0.04878608714466996 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.79, |
|
|
"acc_stderr": 0.04093601807403326, |
|
|
"acc_norm": 0.79, |
|
|
"acc_norm_stderr": 0.04093601807403326 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.7574468085106383, |
|
|
"acc_stderr": 0.02802022627120022, |
|
|
"acc_norm": 0.7574468085106383, |
|
|
"acc_norm_stderr": 0.02802022627120022 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.5964912280701754, |
|
|
"acc_stderr": 0.04615186962583707, |
|
|
"acc_norm": 0.5964912280701754, |
|
|
"acc_norm_stderr": 0.04615186962583707 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.7517241379310344, |
|
|
"acc_stderr": 0.036001056927277696, |
|
|
"acc_norm": 0.7517241379310344, |
|
|
"acc_norm_stderr": 0.036001056927277696 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.7275132275132276, |
|
|
"acc_stderr": 0.022930973071633363, |
|
|
"acc_norm": 0.7275132275132276, |
|
|
"acc_norm_stderr": 0.022930973071633363 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.5793650793650794, |
|
|
"acc_stderr": 0.04415438226743745, |
|
|
"acc_norm": 0.5793650793650794, |
|
|
"acc_norm_stderr": 0.04415438226743745 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.59, |
|
|
"acc_stderr": 0.04943110704237102, |
|
|
"acc_norm": 0.59, |
|
|
"acc_norm_stderr": 0.04943110704237102 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.896774193548387, |
|
|
"acc_stderr": 0.01730838128103452, |
|
|
"acc_norm": 0.896774193548387, |
|
|
"acc_norm_stderr": 0.01730838128103452 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.6798029556650246, |
|
|
"acc_stderr": 0.032826493853041504, |
|
|
"acc_norm": 0.6798029556650246, |
|
|
"acc_norm_stderr": 0.032826493853041504 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.79, |
|
|
"acc_stderr": 0.040936018074033256, |
|
|
"acc_norm": 0.79, |
|
|
"acc_norm_stderr": 0.040936018074033256 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.8727272727272727, |
|
|
"acc_stderr": 0.026024657651656177, |
|
|
"acc_norm": 0.8727272727272727, |
|
|
"acc_norm_stderr": 0.026024657651656177 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.9292929292929293, |
|
|
"acc_stderr": 0.01826310542019949, |
|
|
"acc_norm": 0.9292929292929293, |
|
|
"acc_norm_stderr": 0.01826310542019949 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.9844559585492227, |
|
|
"acc_stderr": 0.008927492715084329, |
|
|
"acc_norm": 0.9844559585492227, |
|
|
"acc_norm_stderr": 0.008927492715084329 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.8128205128205128, |
|
|
"acc_stderr": 0.019776601086550032, |
|
|
"acc_norm": 0.8128205128205128, |
|
|
"acc_norm_stderr": 0.019776601086550032 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.44814814814814813, |
|
|
"acc_stderr": 0.030321167196316286, |
|
|
"acc_norm": 0.44814814814814813, |
|
|
"acc_norm_stderr": 0.030321167196316286 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.8697478991596639, |
|
|
"acc_stderr": 0.021863258494852107, |
|
|
"acc_norm": 0.8697478991596639, |
|
|
"acc_norm_stderr": 0.021863258494852107 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.4900662251655629, |
|
|
"acc_stderr": 0.04081677107248436, |
|
|
"acc_norm": 0.4900662251655629, |
|
|
"acc_norm_stderr": 0.04081677107248436 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.9137614678899083, |
|
|
"acc_stderr": 0.012035597300116241, |
|
|
"acc_norm": 0.9137614678899083, |
|
|
"acc_norm_stderr": 0.012035597300116241 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.6388888888888888, |
|
|
"acc_stderr": 0.032757734861009996, |
|
|
"acc_norm": 0.6388888888888888, |
|
|
"acc_norm_stderr": 0.032757734861009996 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.9313725490196079, |
|
|
"acc_stderr": 0.017744453647073322, |
|
|
"acc_norm": 0.9313725490196079, |
|
|
"acc_norm_stderr": 0.017744453647073322 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.9071729957805907, |
|
|
"acc_stderr": 0.01888975055095671, |
|
|
"acc_norm": 0.9071729957805907, |
|
|
"acc_norm_stderr": 0.01888975055095671 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.8161434977578476, |
|
|
"acc_stderr": 0.025998379092356517, |
|
|
"acc_norm": 0.8161434977578476, |
|
|
"acc_norm_stderr": 0.025998379092356517 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.9007633587786259, |
|
|
"acc_stderr": 0.026222235171477374, |
|
|
"acc_norm": 0.9007633587786259, |
|
|
"acc_norm_stderr": 0.026222235171477374 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.8760330578512396, |
|
|
"acc_stderr": 0.030083098716035216, |
|
|
"acc_norm": 0.8760330578512396, |
|
|
"acc_norm_stderr": 0.030083098716035216 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.8796296296296297, |
|
|
"acc_stderr": 0.031457038543062504, |
|
|
"acc_norm": 0.8796296296296297, |
|
|
"acc_norm_stderr": 0.031457038543062504 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.852760736196319, |
|
|
"acc_stderr": 0.027839915278339653, |
|
|
"acc_norm": 0.852760736196319, |
|
|
"acc_norm_stderr": 0.027839915278339653 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.5714285714285714, |
|
|
"acc_stderr": 0.04697113923010213, |
|
|
"acc_norm": 0.5714285714285714, |
|
|
"acc_norm_stderr": 0.04697113923010213 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.8640776699029126, |
|
|
"acc_stderr": 0.0339329572976101, |
|
|
"acc_norm": 0.8640776699029126, |
|
|
"acc_norm_stderr": 0.0339329572976101 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.9358974358974359, |
|
|
"acc_stderr": 0.016046261631673137, |
|
|
"acc_norm": 0.9358974358974359, |
|
|
"acc_norm_stderr": 0.016046261631673137 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.91, |
|
|
"acc_stderr": 0.028762349126466125, |
|
|
"acc_norm": 0.91, |
|
|
"acc_norm_stderr": 0.028762349126466125 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.9106002554278416, |
|
|
"acc_stderr": 0.0102030178476883, |
|
|
"acc_norm": 0.9106002554278416, |
|
|
"acc_norm_stderr": 0.0102030178476883 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.8208092485549133, |
|
|
"acc_stderr": 0.020647590029679332, |
|
|
"acc_norm": 0.8208092485549133, |
|
|
"acc_norm_stderr": 0.020647590029679332 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.7955307262569833, |
|
|
"acc_stderr": 0.013488813404711917, |
|
|
"acc_norm": 0.7955307262569833, |
|
|
"acc_norm_stderr": 0.013488813404711917 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.8496732026143791, |
|
|
"acc_stderr": 0.020464175124332625, |
|
|
"acc_norm": 0.8496732026143791, |
|
|
"acc_norm_stderr": 0.020464175124332625 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.7942122186495176, |
|
|
"acc_stderr": 0.022961339906764244, |
|
|
"acc_norm": 0.7942122186495176, |
|
|
"acc_norm_stderr": 0.022961339906764244 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.8827160493827161, |
|
|
"acc_stderr": 0.017903112615281127, |
|
|
"acc_norm": 0.8827160493827161, |
|
|
"acc_norm_stderr": 0.017903112615281127 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.6418439716312057, |
|
|
"acc_stderr": 0.028602085862759422, |
|
|
"acc_norm": 0.6418439716312057, |
|
|
"acc_norm_stderr": 0.028602085862759422 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.5853976531942634, |
|
|
"acc_stderr": 0.012582597058908284, |
|
|
"acc_norm": 0.5853976531942634, |
|
|
"acc_norm_stderr": 0.012582597058908284 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.8345588235294118, |
|
|
"acc_stderr": 0.022571771025494746, |
|
|
"acc_norm": 0.8345588235294118, |
|
|
"acc_norm_stderr": 0.022571771025494746 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.8169934640522876, |
|
|
"acc_stderr": 0.015643069911273344, |
|
|
"acc_norm": 0.8169934640522876, |
|
|
"acc_norm_stderr": 0.015643069911273344 |
|
|
}, |
|
|
"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": 0.8489795918367347, |
|
|
"acc_stderr": 0.022923004094736854, |
|
|
"acc_norm": 0.8489795918367347, |
|
|
"acc_norm_stderr": 0.022923004094736854 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.8955223880597015, |
|
|
"acc_stderr": 0.021628920516700643, |
|
|
"acc_norm": 0.8955223880597015, |
|
|
"acc_norm_stderr": 0.021628920516700643 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.91, |
|
|
"acc_stderr": 0.028762349126466125, |
|
|
"acc_norm": 0.91, |
|
|
"acc_norm_stderr": 0.028762349126466125 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5843373493975904, |
|
|
"acc_stderr": 0.03836722176598053, |
|
|
"acc_norm": 0.5843373493975904, |
|
|
"acc_norm_stderr": 0.03836722176598053 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8888888888888888, |
|
|
"acc_stderr": 0.024103384202072864, |
|
|
"acc_norm": 0.8888888888888888, |
|
|
"acc_norm_stderr": 0.024103384202072864 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.5006119951040392, |
|
|
"mc1_stderr": 0.01750348793889251, |
|
|
"mc2": 0.6743783536659786, |
|
|
"mc2_stderr": 0.014425170450824752 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.835043409629045, |
|
|
"acc_stderr": 0.010430917468237428 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.709628506444276, |
|
|
"acc_stderr": 0.012503592481818954 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
