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--- |
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pretty_name: Evaluation run of AIGeekLabs/radiantloom-mixtral-8x7b-fusion |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [AIGeekLabs/radiantloom-mixtral-8x7b-fusion](https://huggingface.co/AIGeekLabs/radiantloom-mixtral-8x7b-fusion)\ |
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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_AIGeekLabs__radiantloom-mixtral-8x7b-fusion\"\ |
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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 2024-01-16T14:45:36.248240](https://huggingface.co/datasets/open-llm-leaderboard/details_AIGeekLabs__radiantloom-mixtral-8x7b-fusion/blob/main/results_2024-01-16T14-45-36.248240.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\": 0.6025083495631576,\n\ |
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|
\ \"acc_stderr\": 0.033276409512043775,\n \"acc_norm\": 0.6048474981986636,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03394556451708956,\n \"mc1\": 0.38555691554467564,\n\ |
|
|
\ \"mc1_stderr\": 0.017038839010591663,\n \"mc2\": 0.5475857676636995,\n\ |
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|
\ \"mc2_stderr\": 0.0158714845716314\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.5972696245733788,\n \"acc_stderr\": 0.01433223630679015,\n\ |
|
|
\ \"acc_norm\": 0.6348122866894198,\n \"acc_norm_stderr\": 0.014070265519268804\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6456881099382593,\n\ |
|
|
\ \"acc_stderr\": 0.004773267510112743,\n \"acc_norm\": 0.8364867556263692,\n\ |
|
|
\ \"acc_norm_stderr\": 0.003690774563638011\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ |
|
|
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\ |
|
|
\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316092,\n\ |
|
|
\ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316092\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.52,\n\ |
|
|
\ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n \ |
|
|
\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.028637235639800886,\n\ |
|
|
\ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.028637235639800886\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7013888888888888,\n\ |
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|
\ \"acc_stderr\": 0.03827052357950756,\n \"acc_norm\": 0.7013888888888888,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03827052357950756\n },\n \"harness|hendrycksTest-college_chemistry|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-college_computer_science|5\": {\n \"\ |
|
|
acc\": 0.55,\n \"acc_stderr\": 0.05000000000000001,\n \"acc_norm\"\ |
|
|
: 0.55,\n \"acc_norm_stderr\": 0.05000000000000001\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ |
|
|
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5780346820809249,\n\ |
|
|
\ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.5780346820809249,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062947,\n\ |
|
|
\ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062947\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\": 0.76,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.5234042553191489,\n \"acc_stderr\": 0.032650194750335815,\n\ |
|
|
\ \"acc_norm\": 0.5234042553191489,\n \"acc_norm_stderr\": 0.032650194750335815\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4473684210526316,\n\ |
|
|
\ \"acc_stderr\": 0.046774730044911984,\n \"acc_norm\": 0.4473684210526316,\n\ |
|
|
\ \"acc_norm_stderr\": 0.046774730044911984\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370331,\n\ |
|
|
\ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370331\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.43915343915343913,\n \"acc_stderr\": 0.025559920550531006,\n \"\ |
|
|
acc_norm\": 0.43915343915343913,\n \"acc_norm_stderr\": 0.025559920550531006\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.36507936507936506,\n\ |
|
|
\ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939098,\n \ |
|
|
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939098\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6290322580645161,\n\ |
|
|
\ \"acc_stderr\": 0.027480541887953593,\n \"acc_norm\": 0.6290322580645161,\n\ |
|
|
\ \"acc_norm_stderr\": 0.027480541887953593\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.034819048444388045,\n\ |
|
|
\ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.034819048444388045\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001974,\n \"acc_norm\"\ |
|
|
: 0.61,\n \"acc_norm_stderr\": 0.04902071300001974\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.03477691162163659,\n\ |
|
|
\ \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03477691162163659\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.7424242424242424,\n \"acc_stderr\": 0.031156269519646836,\n \"\ |
|
|
acc_norm\": 0.7424242424242424,\n \"acc_norm_stderr\": 0.031156269519646836\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.8134715025906736,\n \"acc_stderr\": 0.02811209121011746,\n\ |
|
|
\ \"acc_norm\": 0.8134715025906736,\n \"acc_norm_stderr\": 0.02811209121011746\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.5794871794871795,\n \"acc_stderr\": 0.025028610276710862,\n\ |
|
|
\ \"acc_norm\": 0.5794871794871795,\n \"acc_norm_stderr\": 0.025028610276710862\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.3296296296296296,\n \"acc_stderr\": 0.02866120111652458,\n \ |
|
|
\ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.02866120111652458\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6386554621848739,\n \"acc_stderr\": 0.031204691225150027,\n\ |
|
|
\ \"acc_norm\": 0.6386554621848739,\n \"acc_norm_stderr\": 0.031204691225150027\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\ |
|
|
acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.7834862385321101,\n \"acc_stderr\": 0.017658710594443135,\n \"\ |
|
|
acc_norm\": 0.7834862385321101,\n \"acc_norm_stderr\": 0.017658710594443135\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.42592592592592593,\n \"acc_stderr\": 0.03372343271653063,\n \"\ |
|
|
acc_norm\": 0.42592592592592593,\n \"acc_norm_stderr\": 0.03372343271653063\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.75,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.75,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ |
|
|
: {\n \"acc\": 0.7721518987341772,\n \"acc_stderr\": 0.027303484599069425,\n\ |
|
|
\ \"acc_norm\": 0.7721518987341772,\n \"acc_norm_stderr\": 0.027303484599069425\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\ |
|
|
\ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\ |
|
|
\ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.8181818181818182,\n \"acc_stderr\": 0.03520893951097654,\n \"\ |
|
|
acc_norm\": 0.8181818181818182,\n \"acc_norm_stderr\": 0.03520893951097654\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7037037037037037,\n\ |
|
|
\ \"acc_stderr\": 0.04414343666854933,\n \"acc_norm\": 0.7037037037037037,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04414343666854933\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7055214723926381,\n \"acc_stderr\": 0.03581165790474082,\n\ |
|
|
\ \"acc_norm\": 0.7055214723926381,\n \"acc_norm_stderr\": 0.03581165790474082\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ |
|
|
\ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\ |
|
|
\ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8547008547008547,\n\ |
|
|
\ \"acc_stderr\": 0.023086635086841407,\n \"acc_norm\": 0.8547008547008547,\n\ |
|
|
\ \"acc_norm_stderr\": 0.023086635086841407\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.73,\n \"acc_stderr\": 0.0446196043338474,\n \ |
|
|
\ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.0446196043338474\n },\n\ |
|
|
\ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7931034482758621,\n\ |
|
|
\ \"acc_stderr\": 0.014485656041669173,\n \"acc_norm\": 0.7931034482758621,\n\ |
|
|
\ \"acc_norm_stderr\": 0.014485656041669173\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.653179190751445,\n \"acc_stderr\": 0.025624723994030454,\n\ |
|
|
\ \"acc_norm\": 0.653179190751445,\n \"acc_norm_stderr\": 0.025624723994030454\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.423463687150838,\n\ |
|
|
\ \"acc_stderr\": 0.016525425898773503,\n \"acc_norm\": 0.423463687150838,\n\ |
|
|
\ \"acc_norm_stderr\": 0.016525425898773503\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.6535947712418301,\n \"acc_stderr\": 0.027245613047215355,\n\ |
|
|
\ \"acc_norm\": 0.6535947712418301,\n \"acc_norm_stderr\": 0.027245613047215355\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7009646302250804,\n\ |
|
|
\ \"acc_stderr\": 0.02600330111788514,\n \"acc_norm\": 0.7009646302250804,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02600330111788514\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.6820987654320988,\n \"acc_stderr\": 0.02591006352824087,\n\ |
|
|
\ \"acc_norm\": 0.6820987654320988,\n \"acc_norm_stderr\": 0.02591006352824087\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.475177304964539,\n \"acc_stderr\": 0.029790719243829727,\n \ |
|
|
\ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.029790719243829727\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.43741851368970014,\n\ |
|
|
\ \"acc_stderr\": 0.012669813464935729,\n \"acc_norm\": 0.43741851368970014,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012669813464935729\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6066176470588235,\n \"acc_stderr\": 0.029674288281311155,\n\ |
|
|
\ \"acc_norm\": 0.6066176470588235,\n \"acc_norm_stderr\": 0.029674288281311155\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6356209150326797,\n \"acc_stderr\": 0.019469518221573702,\n \ |
|
|
\ \"acc_norm\": 0.6356209150326797,\n \"acc_norm_stderr\": 0.019469518221573702\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6272727272727273,\n\ |
|
|
\ \"acc_stderr\": 0.04631381319425465,\n \"acc_norm\": 0.6272727272727273,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04631381319425465\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\ |
|
|
\ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.582089552238806,\n\ |
|
|
\ \"acc_stderr\": 0.034875586404620636,\n \"acc_norm\": 0.582089552238806,\n\ |
|
|
\ \"acc_norm_stderr\": 0.034875586404620636\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \ |
|
|
\ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\ |
|
|
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4578313253012048,\n\ |
|
|
\ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.4578313253012048,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.7719298245614035,\n \"acc_stderr\": 0.03218093795602357,\n\ |
|
|
\ \"acc_norm\": 0.7719298245614035,\n \"acc_norm_stderr\": 0.03218093795602357\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.38555691554467564,\n\ |
|
|
\ \"mc1_stderr\": 0.017038839010591663,\n \"mc2\": 0.5475857676636995,\n\ |
|
|
\ \"mc2_stderr\": 0.0158714845716314\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.760852407261247,\n \"acc_stderr\": 0.01198854184484391\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5344958301743745,\n \ |
|
|
\ \"acc_stderr\": 0.013739668147545916\n }\n}\n```" |
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repo_url: https://huggingface.co/AIGeekLabs/radiantloom-mixtral-8x7b-fusion |
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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_16T14_45_36.248240 |
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path: |
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- '**/details_harness|arc:challenge|25_2024-01-16T14-45-36.248240.parquet' |
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- split: latest |
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path: |
|
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- '**/details_harness|arc:challenge|25_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_gsm8k_5 |
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data_files: |
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- split: 2024_01_16T14_45_36.248240 |
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path: |
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- '**/details_harness|gsm8k|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|gsm8k|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hellaswag_10 |
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- '**/details_harness|hellaswag|10_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hellaswag|10_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_5 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T14-45-36.248240.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T14-45-36.248240.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T14-45-36.248240.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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- split: 2024_01_16T14_45_36.248240 |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T14-45-36.248240.parquet' |
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- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-16T14-45-36.248240.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_01_16T14_45_36.248240 |
|
|
path: |
|
|
- results_2024-01-16T14-45-36.248240.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-01-16T14-45-36.248240.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of AIGeekLabs/radiantloom-mixtral-8x7b-fusion |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
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|
|
|
Dataset automatically created during the evaluation run of model [AIGeekLabs/radiantloom-mixtral-8x7b-fusion](https://huggingface.co/AIGeekLabs/radiantloom-mixtral-8x7b-fusion) 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. |
|
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|
|
|
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). |
|
|
|
|
|
To load the details from a run, you can for instance do the following: |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
data = load_dataset("open-llm-leaderboard/details_AIGeekLabs__radiantloom-mixtral-8x7b-fusion", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-01-16T14:45:36.248240](https://huggingface.co/datasets/open-llm-leaderboard/details_AIGeekLabs__radiantloom-mixtral-8x7b-fusion/blob/main/results_2024-01-16T14-45-36.248240.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": 0.6025083495631576, |
|
|
"acc_stderr": 0.033276409512043775, |
|
|
"acc_norm": 0.6048474981986636, |
|
|
"acc_norm_stderr": 0.03394556451708956, |
|
|
"mc1": 0.38555691554467564, |
|
|
"mc1_stderr": 0.017038839010591663, |
|
|
"mc2": 0.5475857676636995, |
|
|
"mc2_stderr": 0.0158714845716314 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.5972696245733788, |
|
|
"acc_stderr": 0.01433223630679015, |
|
|
"acc_norm": 0.6348122866894198, |
|
|
"acc_norm_stderr": 0.014070265519268804 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.6456881099382593, |
|
|
"acc_stderr": 0.004773267510112743, |
|
|
"acc_norm": 0.8364867556263692, |
|
|
"acc_norm_stderr": 0.003690774563638011 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.31, |
|
|
"acc_stderr": 0.04648231987117316, |
|
|
"acc_norm": 0.31, |
|
|
"acc_norm_stderr": 0.04648231987117316 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.5777777777777777, |
|
|
"acc_stderr": 0.04266763404099582, |
|
|
"acc_norm": 0.5777777777777777, |
|
|
"acc_norm_stderr": 0.04266763404099582 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.6578947368421053, |
|
|
"acc_stderr": 0.03860731599316092, |
|
|
"acc_norm": 0.6578947368421053, |
|
|
"acc_norm_stderr": 0.03860731599316092 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.52, |
|
|
"acc_stderr": 0.050211673156867795, |
|
|
"acc_norm": 0.52, |
|
|
"acc_norm_stderr": 0.050211673156867795 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.6830188679245283, |
|
|
"acc_stderr": 0.028637235639800886, |
|
|
"acc_norm": 0.6830188679245283, |
|
|
"acc_norm_stderr": 0.028637235639800886 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.7013888888888888, |
|
|
"acc_stderr": 0.03827052357950756, |
|
|
"acc_norm": 0.7013888888888888, |
|
|
"acc_norm_stderr": 0.03827052357950756 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.48, |
|
|
"acc_stderr": 0.050211673156867795, |
|
|
"acc_norm": 0.48, |
|
|
"acc_norm_stderr": 0.050211673156867795 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.55, |
|
|
"acc_stderr": 0.05000000000000001, |
|
|
"acc_norm": 0.55, |
|
|
"acc_norm_stderr": 0.05000000000000001 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.32, |
|
|
"acc_stderr": 0.04688261722621504, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.04688261722621504 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.5780346820809249, |
|
|
"acc_stderr": 0.0376574669386515, |
|
|
"acc_norm": 0.5780346820809249, |
|
|
"acc_norm_stderr": 0.0376574669386515 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.35294117647058826, |
|
|
"acc_stderr": 0.04755129616062947, |
|
|
"acc_norm": 0.35294117647058826, |
|
|
"acc_norm_stderr": 0.04755129616062947 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.76, |
|
|
"acc_stderr": 0.04292346959909283, |
|
|
"acc_norm": 0.76, |
|
|
"acc_norm_stderr": 0.04292346959909283 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.5234042553191489, |
|
|
"acc_stderr": 0.032650194750335815, |
|
|
"acc_norm": 0.5234042553191489, |
|
|
"acc_norm_stderr": 0.032650194750335815 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.4473684210526316, |
|
|
"acc_stderr": 0.046774730044911984, |
|
|
"acc_norm": 0.4473684210526316, |
|
|
"acc_norm_stderr": 0.046774730044911984 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5724137931034483, |
|
|
"acc_stderr": 0.04122737111370331, |
|
|
"acc_norm": 0.5724137931034483, |
|
|
"acc_norm_stderr": 0.04122737111370331 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.43915343915343913, |
|
|
"acc_stderr": 0.025559920550531006, |
|
|
"acc_norm": 0.43915343915343913, |
|
|
"acc_norm_stderr": 0.025559920550531006 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.36507936507936506, |
|
|
"acc_stderr": 0.04306241259127153, |
|
|
"acc_norm": 0.36507936507936506, |
|
|
"acc_norm_stderr": 0.04306241259127153 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.37, |
|
|
"acc_stderr": 0.04852365870939098, |
|
|
"acc_norm": 0.37, |
|
|
"acc_norm_stderr": 0.04852365870939098 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.6290322580645161, |
|
|
"acc_stderr": 0.027480541887953593, |
|
|
"acc_norm": 0.6290322580645161, |
|
|
"acc_norm_stderr": 0.027480541887953593 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.42857142857142855, |
|
|
"acc_stderr": 0.034819048444388045, |
|
|
"acc_norm": 0.42857142857142855, |
|
|
"acc_norm_stderr": 0.034819048444388045 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.61, |
|
|
"acc_stderr": 0.04902071300001974, |
|
|
"acc_norm": 0.61, |
|
|
"acc_norm_stderr": 0.04902071300001974 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7272727272727273, |
|
|
"acc_stderr": 0.03477691162163659, |
|
|
"acc_norm": 0.7272727272727273, |
|
|
"acc_norm_stderr": 0.03477691162163659 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.7424242424242424, |
|
|
"acc_stderr": 0.031156269519646836, |
|
|
"acc_norm": 0.7424242424242424, |
|
|
"acc_norm_stderr": 0.031156269519646836 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.8134715025906736, |
|
|
"acc_stderr": 0.02811209121011746, |
|
|
"acc_norm": 0.8134715025906736, |
|
|
"acc_norm_stderr": 0.02811209121011746 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.5794871794871795, |
|
|
"acc_stderr": 0.025028610276710862, |
|
|
"acc_norm": 0.5794871794871795, |
|
|
"acc_norm_stderr": 0.025028610276710862 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.3296296296296296, |
|
|
"acc_stderr": 0.02866120111652458, |
|
|
"acc_norm": 0.3296296296296296, |
|
|
"acc_norm_stderr": 0.02866120111652458 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.6386554621848739, |
|
|
"acc_stderr": 0.031204691225150027, |
|
|
"acc_norm": 0.6386554621848739, |
|
|
"acc_norm_stderr": 0.031204691225150027 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.31788079470198677, |
|
|
"acc_stderr": 0.038020397601079024, |
|
|
"acc_norm": 0.31788079470198677, |
|
|
"acc_norm_stderr": 0.038020397601079024 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.7834862385321101, |
|
|
"acc_stderr": 0.017658710594443135, |
|
|
"acc_norm": 0.7834862385321101, |
|
|
"acc_norm_stderr": 0.017658710594443135 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.42592592592592593, |
|
|
"acc_stderr": 0.03372343271653063, |
|
|
"acc_norm": 0.42592592592592593, |
|
|
"acc_norm_stderr": 0.03372343271653063 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.75, |
|
|
"acc_stderr": 0.03039153369274154, |
|
|
"acc_norm": 0.75, |
|
|
"acc_norm_stderr": 0.03039153369274154 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7721518987341772, |
|
|
"acc_stderr": 0.027303484599069425, |
|
|
"acc_norm": 0.7721518987341772, |
|
|
"acc_norm_stderr": 0.027303484599069425 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6771300448430493, |
|
|
"acc_stderr": 0.03138147637575499, |
|
|
"acc_norm": 0.6771300448430493, |
|
|
"acc_norm_stderr": 0.03138147637575499 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.7480916030534351, |
|
|
"acc_stderr": 0.03807387116306085, |
|
|
"acc_norm": 0.7480916030534351, |
|
|
"acc_norm_stderr": 0.03807387116306085 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.8181818181818182, |
|
|
"acc_stderr": 0.03520893951097654, |
|
|
"acc_norm": 0.8181818181818182, |
|
|
"acc_norm_stderr": 0.03520893951097654 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.7037037037037037, |
|
|
"acc_stderr": 0.04414343666854933, |
|
|
"acc_norm": 0.7037037037037037, |
|
|
"acc_norm_stderr": 0.04414343666854933 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7055214723926381, |
|
|
"acc_stderr": 0.03581165790474082, |
|
|
"acc_norm": 0.7055214723926381, |
|
|
"acc_norm_stderr": 0.03581165790474082 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.42857142857142855, |
|
|
"acc_stderr": 0.04697113923010212, |
|
|
"acc_norm": 0.42857142857142855, |
|
|
"acc_norm_stderr": 0.04697113923010212 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7572815533980582, |
|
|
"acc_stderr": 0.04245022486384495, |
|
|
"acc_norm": 0.7572815533980582, |
|
|
"acc_norm_stderr": 0.04245022486384495 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8547008547008547, |
|
|
"acc_stderr": 0.023086635086841407, |
|
|
"acc_norm": 0.8547008547008547, |
|
|
"acc_norm_stderr": 0.023086635086841407 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.73, |
|
|
"acc_stderr": 0.0446196043338474, |
|
|
"acc_norm": 0.73, |
|
|
"acc_norm_stderr": 0.0446196043338474 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.7931034482758621, |
|
|
"acc_stderr": 0.014485656041669173, |
|
|
"acc_norm": 0.7931034482758621, |
|
|
"acc_norm_stderr": 0.014485656041669173 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.653179190751445, |
|
|
"acc_stderr": 0.025624723994030454, |
|
|
"acc_norm": 0.653179190751445, |
|
|
"acc_norm_stderr": 0.025624723994030454 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.423463687150838, |
|
|
"acc_stderr": 0.016525425898773503, |
|
|
"acc_norm": 0.423463687150838, |
|
|
"acc_norm_stderr": 0.016525425898773503 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.6535947712418301, |
|
|
"acc_stderr": 0.027245613047215355, |
|
|
"acc_norm": 0.6535947712418301, |
|
|
"acc_norm_stderr": 0.027245613047215355 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.7009646302250804, |
|
|
"acc_stderr": 0.02600330111788514, |
|
|
"acc_norm": 0.7009646302250804, |
|
|
"acc_norm_stderr": 0.02600330111788514 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.6820987654320988, |
|
|
"acc_stderr": 0.02591006352824087, |
|
|
"acc_norm": 0.6820987654320988, |
|
|
"acc_norm_stderr": 0.02591006352824087 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.475177304964539, |
|
|
"acc_stderr": 0.029790719243829727, |
|
|
"acc_norm": 0.475177304964539, |
|
|
"acc_norm_stderr": 0.029790719243829727 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.43741851368970014, |
|
|
"acc_stderr": 0.012669813464935729, |
|
|
"acc_norm": 0.43741851368970014, |
|
|
"acc_norm_stderr": 0.012669813464935729 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6066176470588235, |
|
|
"acc_stderr": 0.029674288281311155, |
|
|
"acc_norm": 0.6066176470588235, |
|
|
"acc_norm_stderr": 0.029674288281311155 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6356209150326797, |
|
|
"acc_stderr": 0.019469518221573702, |
|
|
"acc_norm": 0.6356209150326797, |
|
|
"acc_norm_stderr": 0.019469518221573702 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6272727272727273, |
|
|
"acc_stderr": 0.04631381319425465, |
|
|
"acc_norm": 0.6272727272727273, |
|
|
"acc_norm_stderr": 0.04631381319425465 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.7346938775510204, |
|
|
"acc_stderr": 0.028263889943784603, |
|
|
"acc_norm": 0.7346938775510204, |
|
|
"acc_norm_stderr": 0.028263889943784603 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.582089552238806, |
|
|
"acc_stderr": 0.034875586404620636, |
|
|
"acc_norm": 0.582089552238806, |
|
|
"acc_norm_stderr": 0.034875586404620636 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.8, |
|
|
"acc_stderr": 0.04020151261036846, |
|
|
"acc_norm": 0.8, |
|
|
"acc_norm_stderr": 0.04020151261036846 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.4578313253012048, |
|
|
"acc_stderr": 0.0387862677100236, |
|
|
"acc_norm": 0.4578313253012048, |
|
|
"acc_norm_stderr": 0.0387862677100236 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.7719298245614035, |
|
|
"acc_stderr": 0.03218093795602357, |
|
|
"acc_norm": 0.7719298245614035, |
|
|
"acc_norm_stderr": 0.03218093795602357 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.38555691554467564, |
|
|
"mc1_stderr": 0.017038839010591663, |
|
|
"mc2": 0.5475857676636995, |
|
|
"mc2_stderr": 0.0158714845716314 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.760852407261247, |
|
|
"acc_stderr": 0.01198854184484391 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.5344958301743745, |
|
|
"acc_stderr": 0.013739668147545916 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
