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--- |
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pretty_name: Evaluation run of cloudyu/Yi-34Bx2-MoE-60B-DPO |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [cloudyu/Yi-34Bx2-MoE-60B-DPO](https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B-DPO)\ |
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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_cloudyu__Yi-34Bx2-MoE-60B-DPO\"\ |
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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 2024-01-23T09:26:46.662482](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__Yi-34Bx2-MoE-60B-DPO/blob/main/results_2024-01-23T09-26-46.662482.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\": 0.7706672409381974,\n\ |
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\ \"acc_stderr\": 0.027896926086644222,\n \"acc_norm\": 0.7738601958843111,\n\ |
|
|
\ \"acc_norm_stderr\": 0.028438404294113005,\n \"mc1\": 0.4883720930232558,\n\ |
|
|
\ \"mc1_stderr\": 0.017498767175740088,\n \"mc2\": 0.6624336903360023,\n\ |
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\ \"mc2_stderr\": 0.0145357390643212\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.6749146757679181,\n \"acc_stderr\": 0.013688147309729124,\n\ |
|
|
\ \"acc_norm\": 0.712457337883959,\n \"acc_norm_stderr\": 0.013226719056266129\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6546504680342561,\n\ |
|
|
\ \"acc_stderr\": 0.004745103543901293,\n \"acc_norm\": 0.8510256920932086,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0035533545281323554\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ |
|
|
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\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\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.8,\n \"acc_stderr\": 0.02461829819586651,\n \ |
|
|
\ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.02461829819586651\n },\n\ |
|
|
\ \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.875,\n \ |
|
|
\ \"acc_stderr\": 0.02765610492929436,\n \"acc_norm\": 0.875,\n \ |
|
|
\ \"acc_norm_stderr\": 0.02765610492929436\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \ |
|
|
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ |
|
|
: 0.67,\n \"acc_stderr\": 0.04725815626252606,\n \"acc_norm\": 0.67,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04725815626252606\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.44,\n \"acc_stderr\": 0.0498887651569859,\n \ |
|
|
\ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.0498887651569859\n },\n\ |
|
|
\ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7630057803468208,\n\ |
|
|
\ \"acc_stderr\": 0.03242414757483098,\n \"acc_norm\": 0.7630057803468208,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03242414757483098\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.6274509803921569,\n \"acc_stderr\": 0.048108401480826346,\n\ |
|
|
\ \"acc_norm\": 0.6274509803921569,\n \"acc_norm_stderr\": 0.048108401480826346\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.81,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\": 0.81,\n\ |
|
|
\ \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.7957446808510639,\n \"acc_stderr\": 0.026355158413349414,\n\ |
|
|
\ \"acc_norm\": 0.7957446808510639,\n \"acc_norm_stderr\": 0.026355158413349414\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.6140350877192983,\n\ |
|
|
\ \"acc_stderr\": 0.04579639422070434,\n \"acc_norm\": 0.6140350877192983,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04579639422070434\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.7586206896551724,\n \"acc_stderr\": 0.03565998174135302,\n\ |
|
|
\ \"acc_norm\": 0.7586206896551724,\n \"acc_norm_stderr\": 0.03565998174135302\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\": 0.5714285714285714,\n\ |
|
|
\ \"acc_stderr\": 0.04426266681379909,\n \"acc_norm\": 0.5714285714285714,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04426266681379909\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \ |
|
|
\ \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.9032258064516129,\n\ |
|
|
\ \"acc_stderr\": 0.016818943416345197,\n \"acc_norm\": 0.9032258064516129,\n\ |
|
|
\ \"acc_norm_stderr\": 0.016818943416345197\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.625615763546798,\n \"acc_stderr\": 0.03405155380561952,\n\ |
|
|
\ \"acc_norm\": 0.625615763546798,\n \"acc_norm_stderr\": 0.03405155380561952\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.82,\n \"acc_stderr\": 0.03861229196653694,\n \"acc_norm\"\ |
|
|
: 0.82,\n \"acc_norm_stderr\": 0.03861229196653694\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.8666666666666667,\n \"acc_stderr\": 0.026544435312706463,\n\ |
|
|
\ \"acc_norm\": 0.8666666666666667,\n \"acc_norm_stderr\": 0.026544435312706463\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.9292929292929293,\n \"acc_stderr\": 0.018263105420199505,\n \"\ |
|
|
acc_norm\": 0.9292929292929293,\n \"acc_norm_stderr\": 0.018263105420199505\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.9689119170984456,\n \"acc_stderr\": 0.012525310625527033,\n\ |
|
|
\ \"acc_norm\": 0.9689119170984456,\n \"acc_norm_stderr\": 0.012525310625527033\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.8205128205128205,\n \"acc_stderr\": 0.0194573907876818,\n \ |
|
|
\ \"acc_norm\": 0.8205128205128205,\n \"acc_norm_stderr\": 0.0194573907876818\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.44074074074074077,\n \"acc_stderr\": 0.030270671157284067,\n \ |
|
|
\ \"acc_norm\": 0.44074074074074077,\n \"acc_norm_stderr\": 0.030270671157284067\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.8529411764705882,\n \"acc_stderr\": 0.023005459446673947,\n\ |
|
|
\ \"acc_norm\": 0.8529411764705882,\n \"acc_norm_stderr\": 0.023005459446673947\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.5099337748344371,\n \"acc_stderr\": 0.04081677107248437,\n \"\ |
|
|
acc_norm\": 0.5099337748344371,\n \"acc_norm_stderr\": 0.04081677107248437\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.9174311926605505,\n \"acc_stderr\": 0.011800361363016576,\n \"\ |
|
|
acc_norm\": 0.9174311926605505,\n \"acc_norm_stderr\": 0.011800361363016576\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.6712962962962963,\n \"acc_stderr\": 0.032036140846700596,\n \"\ |
|
|
acc_norm\": 0.6712962962962963,\n \"acc_norm_stderr\": 0.032036140846700596\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658935,\n \"\ |
|
|
acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658935\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.8987341772151899,\n \"acc_stderr\": 0.019637720526065522,\n \ |
|
|
\ \"acc_norm\": 0.8987341772151899,\n \"acc_norm_stderr\": 0.019637720526065522\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7937219730941704,\n\ |
|
|
\ \"acc_stderr\": 0.02715715047956382,\n \"acc_norm\": 0.7937219730941704,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02715715047956382\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.9083969465648855,\n \"acc_stderr\": 0.025300035578642962,\n\ |
|
|
\ \"acc_norm\": 0.9083969465648855,\n \"acc_norm_stderr\": 0.025300035578642962\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.9008264462809917,\n \"acc_stderr\": 0.027285246312758957,\n \"\ |
|
|
acc_norm\": 0.9008264462809917,\n \"acc_norm_stderr\": 0.027285246312758957\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\": 0.8773006134969326,\n \"acc_stderr\": 0.025777328426978927,\n\ |
|
|
\ \"acc_norm\": 0.8773006134969326,\n \"acc_norm_stderr\": 0.025777328426978927\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6339285714285714,\n\ |
|
|
\ \"acc_stderr\": 0.04572372358737431,\n \"acc_norm\": 0.6339285714285714,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04572372358737431\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.912621359223301,\n \"acc_stderr\": 0.027960689125970654,\n\ |
|
|
\ \"acc_norm\": 0.912621359223301,\n \"acc_norm_stderr\": 0.027960689125970654\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9444444444444444,\n\ |
|
|
\ \"acc_stderr\": 0.015006312806446912,\n \"acc_norm\": 0.9444444444444444,\n\ |
|
|
\ \"acc_norm_stderr\": 0.015006312806446912\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.9,\n \"acc_stderr\": 0.030151134457776348,\n \ |
|
|
\ \"acc_norm\": 0.9,\n \"acc_norm_stderr\": 0.030151134457776348\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9080459770114943,\n\ |
|
|
\ \"acc_stderr\": 0.010333225570778518,\n \"acc_norm\": 0.9080459770114943,\n\ |
|
|
\ \"acc_norm_stderr\": 0.010333225570778518\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.8294797687861272,\n \"acc_stderr\": 0.020247961569303728,\n\ |
|
|
\ \"acc_norm\": 0.8294797687861272,\n \"acc_norm_stderr\": 0.020247961569303728\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.8111731843575419,\n\ |
|
|
\ \"acc_stderr\": 0.013089403869745457,\n \"acc_norm\": 0.8111731843575419,\n\ |
|
|
\ \"acc_norm_stderr\": 0.013089403869745457\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.8594771241830066,\n \"acc_stderr\": 0.019899435463539946,\n\ |
|
|
\ \"acc_norm\": 0.8594771241830066,\n \"acc_norm_stderr\": 0.019899435463539946\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8167202572347267,\n\ |
|
|
\ \"acc_stderr\": 0.02197419884826582,\n \"acc_norm\": 0.8167202572347267,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02197419884826582\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.8765432098765432,\n \"acc_stderr\": 0.01830386880689179,\n\ |
|
|
\ \"acc_norm\": 0.8765432098765432,\n \"acc_norm_stderr\": 0.01830386880689179\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.6382978723404256,\n \"acc_stderr\": 0.028663820147199485,\n \ |
|
|
\ \"acc_norm\": 0.6382978723404256,\n \"acc_norm_stderr\": 0.028663820147199485\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.6023468057366362,\n\ |
|
|
\ \"acc_stderr\": 0.012499840347460642,\n \"acc_norm\": 0.6023468057366362,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012499840347460642\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.8272058823529411,\n \"acc_stderr\": 0.022966067585581774,\n\ |
|
|
\ \"acc_norm\": 0.8272058823529411,\n \"acc_norm_stderr\": 0.022966067585581774\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.8251633986928104,\n \"acc_stderr\": 0.015366167064780641,\n \ |
|
|
\ \"acc_norm\": 0.8251633986928104,\n \"acc_norm_stderr\": 0.015366167064780641\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\ |
|
|
\ \"acc_stderr\": 0.043091187099464585,\n \"acc_norm\": 0.7181818181818181,\n\ |
|
|
\ \"acc_norm_stderr\": 0.043091187099464585\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.8489795918367347,\n \"acc_stderr\": 0.02292300409473685,\n\ |
|
|
\ \"acc_norm\": 0.8489795918367347,\n \"acc_norm_stderr\": 0.02292300409473685\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.900497512437811,\n\ |
|
|
\ \"acc_stderr\": 0.021166216304659393,\n \"acc_norm\": 0.900497512437811,\n\ |
|
|
\ \"acc_norm_stderr\": 0.021166216304659393\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.92,\n \"acc_stderr\": 0.0272659924344291,\n \ |
|
|
\ \"acc_norm\": 0.92,\n \"acc_norm_stderr\": 0.0272659924344291\n },\n\ |
|
|
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5602409638554217,\n\ |
|
|
\ \"acc_stderr\": 0.03864139923699122,\n \"acc_norm\": 0.5602409638554217,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03864139923699122\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8830409356725146,\n \"acc_stderr\": 0.02464806896136616,\n\ |
|
|
\ \"acc_norm\": 0.8830409356725146,\n \"acc_norm_stderr\": 0.02464806896136616\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4883720930232558,\n\ |
|
|
\ \"mc1_stderr\": 0.017498767175740088,\n \"mc2\": 0.6624336903360023,\n\ |
|
|
\ \"mc2_stderr\": 0.0145357390643212\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.8476716653512234,\n \"acc_stderr\": 0.010099208246065588\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7391963608794542,\n \ |
|
|
\ \"acc_stderr\": 0.01209425241733274\n }\n}\n```" |
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repo_url: https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B-DPO |
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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_01_23T09_26_46.662482 |
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path: |
|
|
- '**/details_harness|arc:challenge|25_2024-01-23T09-26-46.662482.parquet' |
|
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- split: latest |
|
|
path: |
|
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- '**/details_harness|arc:challenge|25_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
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- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
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- '**/details_harness|gsm8k|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|gsm8k|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hellaswag_10 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hellaswag|10_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hellaswag|10_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T09-26-46.662482.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T09-26-46.662482.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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data_files: |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-23T09-26-46.662482.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: 2024_01_23T09_26_46.662482 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T09-26-46.662482.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-23T09-26-46.662482.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_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-23T09-26-46.662482.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_01_23T09_26_46.662482 |
|
|
path: |
|
|
- results_2024-01-23T09-26-46.662482.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-01-23T09-26-46.662482.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of cloudyu/Yi-34Bx2-MoE-60B-DPO |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [cloudyu/Yi-34Bx2-MoE-60B-DPO](https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B-DPO) 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_cloudyu__Yi-34Bx2-MoE-60B-DPO", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-01-23T09:26:46.662482](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__Yi-34Bx2-MoE-60B-DPO/blob/main/results_2024-01-23T09-26-46.662482.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": 0.7706672409381974, |
|
|
"acc_stderr": 0.027896926086644222, |
|
|
"acc_norm": 0.7738601958843111, |
|
|
"acc_norm_stderr": 0.028438404294113005, |
|
|
"mc1": 0.4883720930232558, |
|
|
"mc1_stderr": 0.017498767175740088, |
|
|
"mc2": 0.6624336903360023, |
|
|
"mc2_stderr": 0.0145357390643212 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.6749146757679181, |
|
|
"acc_stderr": 0.013688147309729124, |
|
|
"acc_norm": 0.712457337883959, |
|
|
"acc_norm_stderr": 0.013226719056266129 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.6546504680342561, |
|
|
"acc_stderr": 0.004745103543901293, |
|
|
"acc_norm": 0.8510256920932086, |
|
|
"acc_norm_stderr": 0.0035533545281323554 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.48, |
|
|
"acc_stderr": 0.050211673156867795, |
|
|
"acc_norm": 0.48, |
|
|
"acc_norm_stderr": 0.050211673156867795 |
|
|
}, |
|
|
"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": 0.04163331998932261, |
|
|
"acc_norm": 0.78, |
|
|
"acc_norm_stderr": 0.04163331998932261 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.8, |
|
|
"acc_stderr": 0.02461829819586651, |
|
|
"acc_norm": 0.8, |
|
|
"acc_norm_stderr": 0.02461829819586651 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.875, |
|
|
"acc_stderr": 0.02765610492929436, |
|
|
"acc_norm": 0.875, |
|
|
"acc_norm_stderr": 0.02765610492929436 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.49, |
|
|
"acc_stderr": 0.05024183937956912, |
|
|
"acc_norm": 0.49, |
|
|
"acc_norm_stderr": 0.05024183937956912 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.67, |
|
|
"acc_stderr": 0.04725815626252606, |
|
|
"acc_norm": 0.67, |
|
|
"acc_norm_stderr": 0.04725815626252606 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.44, |
|
|
"acc_stderr": 0.0498887651569859, |
|
|
"acc_norm": 0.44, |
|
|
"acc_norm_stderr": 0.0498887651569859 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.7630057803468208, |
|
|
"acc_stderr": 0.03242414757483098, |
|
|
"acc_norm": 0.7630057803468208, |
|
|
"acc_norm_stderr": 0.03242414757483098 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.6274509803921569, |
|
|
"acc_stderr": 0.048108401480826346, |
|
|
"acc_norm": 0.6274509803921569, |
|
|
"acc_norm_stderr": 0.048108401480826346 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.81, |
|
|
"acc_stderr": 0.039427724440366234, |
|
|
"acc_norm": 0.81, |
|
|
"acc_norm_stderr": 0.039427724440366234 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.7957446808510639, |
|
|
"acc_stderr": 0.026355158413349414, |
|
|
"acc_norm": 0.7957446808510639, |
|
|
"acc_norm_stderr": 0.026355158413349414 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.6140350877192983, |
|
|
"acc_stderr": 0.04579639422070434, |
|
|
"acc_norm": 0.6140350877192983, |
|
|
"acc_norm_stderr": 0.04579639422070434 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.7586206896551724, |
|
|
"acc_stderr": 0.03565998174135302, |
|
|
"acc_norm": 0.7586206896551724, |
|
|
"acc_norm_stderr": 0.03565998174135302 |
|
|
}, |
|
|
"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": 0.5714285714285714, |
|
|
"acc_stderr": 0.04426266681379909, |
|
|
"acc_norm": 0.5714285714285714, |
|
|
"acc_norm_stderr": 0.04426266681379909 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.56, |
|
|
"acc_stderr": 0.04988876515698589, |
|
|
"acc_norm": 0.56, |
|
|
"acc_norm_stderr": 0.04988876515698589 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.9032258064516129, |
|
|
"acc_stderr": 0.016818943416345197, |
|
|
"acc_norm": 0.9032258064516129, |
|
|
"acc_norm_stderr": 0.016818943416345197 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.625615763546798, |
|
|
"acc_stderr": 0.03405155380561952, |
|
|
"acc_norm": 0.625615763546798, |
|
|
"acc_norm_stderr": 0.03405155380561952 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.82, |
|
|
"acc_stderr": 0.03861229196653694, |
|
|
"acc_norm": 0.82, |
|
|
"acc_norm_stderr": 0.03861229196653694 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.8666666666666667, |
|
|
"acc_stderr": 0.026544435312706463, |
|
|
"acc_norm": 0.8666666666666667, |
|
|
"acc_norm_stderr": 0.026544435312706463 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.9292929292929293, |
|
|
"acc_stderr": 0.018263105420199505, |
|
|
"acc_norm": 0.9292929292929293, |
|
|
"acc_norm_stderr": 0.018263105420199505 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.9689119170984456, |
|
|
"acc_stderr": 0.012525310625527033, |
|
|
"acc_norm": 0.9689119170984456, |
|
|
"acc_norm_stderr": 0.012525310625527033 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.8205128205128205, |
|
|
"acc_stderr": 0.0194573907876818, |
|
|
"acc_norm": 0.8205128205128205, |
|
|
"acc_norm_stderr": 0.0194573907876818 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.44074074074074077, |
|
|
"acc_stderr": 0.030270671157284067, |
|
|
"acc_norm": 0.44074074074074077, |
|
|
"acc_norm_stderr": 0.030270671157284067 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.8529411764705882, |
|
|
"acc_stderr": 0.023005459446673947, |
|
|
"acc_norm": 0.8529411764705882, |
|
|
"acc_norm_stderr": 0.023005459446673947 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.5099337748344371, |
|
|
"acc_stderr": 0.04081677107248437, |
|
|
"acc_norm": 0.5099337748344371, |
|
|
"acc_norm_stderr": 0.04081677107248437 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.9174311926605505, |
|
|
"acc_stderr": 0.011800361363016576, |
|
|
"acc_norm": 0.9174311926605505, |
|
|
"acc_norm_stderr": 0.011800361363016576 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.6712962962962963, |
|
|
"acc_stderr": 0.032036140846700596, |
|
|
"acc_norm": 0.6712962962962963, |
|
|
"acc_norm_stderr": 0.032036140846700596 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.9215686274509803, |
|
|
"acc_stderr": 0.018869514646658935, |
|
|
"acc_norm": 0.9215686274509803, |
|
|
"acc_norm_stderr": 0.018869514646658935 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.8987341772151899, |
|
|
"acc_stderr": 0.019637720526065522, |
|
|
"acc_norm": 0.8987341772151899, |
|
|
"acc_norm_stderr": 0.019637720526065522 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.7937219730941704, |
|
|
"acc_stderr": 0.02715715047956382, |
|
|
"acc_norm": 0.7937219730941704, |
|
|
"acc_norm_stderr": 0.02715715047956382 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.9083969465648855, |
|
|
"acc_stderr": 0.025300035578642962, |
|
|
"acc_norm": 0.9083969465648855, |
|
|
"acc_norm_stderr": 0.025300035578642962 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.9008264462809917, |
|
|
"acc_stderr": 0.027285246312758957, |
|
|
"acc_norm": 0.9008264462809917, |
|
|
"acc_norm_stderr": 0.027285246312758957 |
|
|
}, |
|
|
"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": 0.8773006134969326, |
|
|
"acc_stderr": 0.025777328426978927, |
|
|
"acc_norm": 0.8773006134969326, |
|
|
"acc_norm_stderr": 0.025777328426978927 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.6339285714285714, |
|
|
"acc_stderr": 0.04572372358737431, |
|
|
"acc_norm": 0.6339285714285714, |
|
|
"acc_norm_stderr": 0.04572372358737431 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.912621359223301, |
|
|
"acc_stderr": 0.027960689125970654, |
|
|
"acc_norm": 0.912621359223301, |
|
|
"acc_norm_stderr": 0.027960689125970654 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.9444444444444444, |
|
|
"acc_stderr": 0.015006312806446912, |
|
|
"acc_norm": 0.9444444444444444, |
|
|
"acc_norm_stderr": 0.015006312806446912 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.9, |
|
|
"acc_stderr": 0.030151134457776348, |
|
|
"acc_norm": 0.9, |
|
|
"acc_norm_stderr": 0.030151134457776348 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.9080459770114943, |
|
|
"acc_stderr": 0.010333225570778518, |
|
|
"acc_norm": 0.9080459770114943, |
|
|
"acc_norm_stderr": 0.010333225570778518 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.8294797687861272, |
|
|
"acc_stderr": 0.020247961569303728, |
|
|
"acc_norm": 0.8294797687861272, |
|
|
"acc_norm_stderr": 0.020247961569303728 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.8111731843575419, |
|
|
"acc_stderr": 0.013089403869745457, |
|
|
"acc_norm": 0.8111731843575419, |
|
|
"acc_norm_stderr": 0.013089403869745457 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.8594771241830066, |
|
|
"acc_stderr": 0.019899435463539946, |
|
|
"acc_norm": 0.8594771241830066, |
|
|
"acc_norm_stderr": 0.019899435463539946 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.8167202572347267, |
|
|
"acc_stderr": 0.02197419884826582, |
|
|
"acc_norm": 0.8167202572347267, |
|
|
"acc_norm_stderr": 0.02197419884826582 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.8765432098765432, |
|
|
"acc_stderr": 0.01830386880689179, |
|
|
"acc_norm": 0.8765432098765432, |
|
|
"acc_norm_stderr": 0.01830386880689179 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.6382978723404256, |
|
|
"acc_stderr": 0.028663820147199485, |
|
|
"acc_norm": 0.6382978723404256, |
|
|
"acc_norm_stderr": 0.028663820147199485 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.6023468057366362, |
|
|
"acc_stderr": 0.012499840347460642, |
|
|
"acc_norm": 0.6023468057366362, |
|
|
"acc_norm_stderr": 0.012499840347460642 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.8272058823529411, |
|
|
"acc_stderr": 0.022966067585581774, |
|
|
"acc_norm": 0.8272058823529411, |
|
|
"acc_norm_stderr": 0.022966067585581774 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.8251633986928104, |
|
|
"acc_stderr": 0.015366167064780641, |
|
|
"acc_norm": 0.8251633986928104, |
|
|
"acc_norm_stderr": 0.015366167064780641 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.7181818181818181, |
|
|
"acc_stderr": 0.043091187099464585, |
|
|
"acc_norm": 0.7181818181818181, |
|
|
"acc_norm_stderr": 0.043091187099464585 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.8489795918367347, |
|
|
"acc_stderr": 0.02292300409473685, |
|
|
"acc_norm": 0.8489795918367347, |
|
|
"acc_norm_stderr": 0.02292300409473685 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.900497512437811, |
|
|
"acc_stderr": 0.021166216304659393, |
|
|
"acc_norm": 0.900497512437811, |
|
|
"acc_norm_stderr": 0.021166216304659393 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.92, |
|
|
"acc_stderr": 0.0272659924344291, |
|
|
"acc_norm": 0.92, |
|
|
"acc_norm_stderr": 0.0272659924344291 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5602409638554217, |
|
|
"acc_stderr": 0.03864139923699122, |
|
|
"acc_norm": 0.5602409638554217, |
|
|
"acc_norm_stderr": 0.03864139923699122 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8830409356725146, |
|
|
"acc_stderr": 0.02464806896136616, |
|
|
"acc_norm": 0.8830409356725146, |
|
|
"acc_norm_stderr": 0.02464806896136616 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.4883720930232558, |
|
|
"mc1_stderr": 0.017498767175740088, |
|
|
"mc2": 0.6624336903360023, |
|
|
"mc2_stderr": 0.0145357390643212 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.8476716653512234, |
|
|
"acc_stderr": 0.010099208246065588 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.7391963608794542, |
|
|
"acc_stderr": 0.01209425241733274 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
