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--- |
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pretty_name: Evaluation run of ABX-AI/Infinite-Laymons-9B |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [ABX-AI/Infinite-Laymons-9B](https://huggingface.co/ABX-AI/Infinite-Laymons-9B)\ |
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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_ABX-AI__Infinite-Laymons-9B\"\ |
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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 2024-04-10T11:48:19.797016](https://huggingface.co/datasets/open-llm-leaderboard/details_ABX-AI__Infinite-Laymons-9B/blob/main/results_2024-04-10T11-48-19.797016.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\": 0.645959924426964,\n\ |
|
|
\ \"acc_stderr\": 0.032166986596234216,\n \"acc_norm\": 0.6488478418620767,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03281361203349943,\n \"mc1\": 0.38922888616891066,\n\ |
|
|
\ \"mc1_stderr\": 0.017068552680690335,\n \"mc2\": 0.5486913365249292,\n\ |
|
|
\ \"mc2_stderr\": 0.015339111406271384\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.6254266211604096,\n \"acc_stderr\": 0.014144193471893446,\n\ |
|
|
\ \"acc_norm\": 0.6561433447098977,\n \"acc_norm_stderr\": 0.013880644570156213\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6478789085839474,\n\ |
|
|
\ \"acc_stderr\": 0.004766553336917499,\n \"acc_norm\": 0.8413662617008564,\n\ |
|
|
\ \"acc_norm_stderr\": 0.003645875568601287\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ |
|
|
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\ |
|
|
\ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.6644736842105263,\n \"acc_stderr\": 0.038424985593952694,\n\ |
|
|
\ \"acc_norm\": 0.6644736842105263,\n \"acc_norm_stderr\": 0.038424985593952694\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ |
|
|
\ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\ |
|
|
\ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ |
|
|
\ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ |
|
|
: 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\": {\n \"acc\": 0.35,\n\ |
|
|
\ \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\": 0.35,\n \ |
|
|
\ \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness|hendrycksTest-college_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6705202312138728,\n \"acc_stderr\": 0.03583901754736412,\n\ |
|
|
\ \"acc_norm\": 0.6705202312138728,\n \"acc_norm_stderr\": 0.03583901754736412\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.4117647058823529,\n\ |
|
|
\ \"acc_stderr\": 0.048971049527263666,\n \"acc_norm\": 0.4117647058823529,\n\ |
|
|
\ \"acc_norm_stderr\": 0.048971049527263666\n },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\": {\n \"acc\": 0.574468085106383,\n\ |
|
|
\ \"acc_stderr\": 0.03232146916224468,\n \"acc_norm\": 0.574468085106383,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03232146916224468\n },\n \"harness|hendrycksTest-econometrics|5\"\ |
|
|
: {\n \"acc\": 0.45614035087719296,\n \"acc_stderr\": 0.04685473041907789,\n\ |
|
|
\ \"acc_norm\": 0.45614035087719296,\n \"acc_norm_stderr\": 0.04685473041907789\n\ |
|
|
\ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ |
|
|
: 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n \"\ |
|
|
acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.4021164021164021,\n \"acc_stderr\": 0.025253032554997685,\n \"\ |
|
|
acc_norm\": 0.4021164021164021,\n \"acc_norm_stderr\": 0.025253032554997685\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\ |
|
|
\ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ |
|
|
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7903225806451613,\n\ |
|
|
\ \"acc_stderr\": 0.023157879349083525,\n \"acc_norm\": 0.7903225806451613,\n\ |
|
|
\ \"acc_norm_stderr\": 0.023157879349083525\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n\ |
|
|
\ \"acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\ |
|
|
: 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\ |
|
|
\ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586804,\n \"\ |
|
|
acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586804\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.8911917098445595,\n \"acc_stderr\": 0.022473253332768776,\n\ |
|
|
\ \"acc_norm\": 0.8911917098445595,\n \"acc_norm_stderr\": 0.022473253332768776\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6923076923076923,\n \"acc_stderr\": 0.023400928918310495,\n\ |
|
|
\ \"acc_norm\": 0.6923076923076923,\n \"acc_norm_stderr\": 0.023400928918310495\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.35185185185185186,\n \"acc_stderr\": 0.02911661760608301,\n \ |
|
|
\ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.02911661760608301\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.7016806722689075,\n \"acc_stderr\": 0.029719142876342853,\n\ |
|
|
\ \"acc_norm\": 0.7016806722689075,\n \"acc_norm_stderr\": 0.029719142876342853\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242742,\n \"\ |
|
|
acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242742\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.8403669724770643,\n \"acc_stderr\": 0.015703498348461763,\n \"\ |
|
|
acc_norm\": 0.8403669724770643,\n \"acc_norm_stderr\": 0.015703498348461763\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.5138888888888888,\n \"acc_stderr\": 0.034086558679777494,\n \"\ |
|
|
acc_norm\": 0.5138888888888888,\n \"acc_norm_stderr\": 0.034086558679777494\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.8235294117647058,\n \"acc_stderr\": 0.026756401538078966,\n \"\ |
|
|
acc_norm\": 0.8235294117647058,\n \"acc_norm_stderr\": 0.026756401538078966\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229966,\n \ |
|
|
\ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229966\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6681614349775785,\n\ |
|
|
\ \"acc_stderr\": 0.03160295143776679,\n \"acc_norm\": 0.6681614349775785,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03160295143776679\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159464,\n\ |
|
|
\ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159464\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ |
|
|
acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\ |
|
|
\ \"acc_stderr\": 0.038260763248848646,\n \"acc_norm\": 0.8055555555555556,\n\ |
|
|
\ \"acc_norm_stderr\": 0.038260763248848646\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\ |
|
|
\ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.48214285714285715,\n\ |
|
|
\ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\ |
|
|
\ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ |
|
|
\ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8675213675213675,\n\ |
|
|
\ \"acc_stderr\": 0.022209309073165616,\n \"acc_norm\": 0.8675213675213675,\n\ |
|
|
\ \"acc_norm_stderr\": 0.022209309073165616\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \ |
|
|
\ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8148148148148148,\n\ |
|
|
\ \"acc_stderr\": 0.013890862162876164,\n \"acc_norm\": 0.8148148148148148,\n\ |
|
|
\ \"acc_norm_stderr\": 0.013890862162876164\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.7196531791907514,\n \"acc_stderr\": 0.02418242749657761,\n\ |
|
|
\ \"acc_norm\": 0.7196531791907514,\n \"acc_norm_stderr\": 0.02418242749657761\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3452513966480447,\n\ |
|
|
\ \"acc_stderr\": 0.015901432608930354,\n \"acc_norm\": 0.3452513966480447,\n\ |
|
|
\ \"acc_norm_stderr\": 0.015901432608930354\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.025738854797818733,\n\ |
|
|
\ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.025738854797818733\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7170418006430869,\n\ |
|
|
\ \"acc_stderr\": 0.025583062489984813,\n \"acc_norm\": 0.7170418006430869,\n\ |
|
|
\ \"acc_norm_stderr\": 0.025583062489984813\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.024477222856135107,\n\ |
|
|
\ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.024477222856135107\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ |
|
|
\ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45632333767926986,\n\ |
|
|
\ \"acc_stderr\": 0.012721420501462547,\n \"acc_norm\": 0.45632333767926986,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012721420501462547\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6948529411764706,\n \"acc_stderr\": 0.027971541370170595,\n\ |
|
|
\ \"acc_norm\": 0.6948529411764706,\n \"acc_norm_stderr\": 0.027971541370170595\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6650326797385621,\n \"acc_stderr\": 0.019094228167000318,\n \ |
|
|
\ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.019094228167000318\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7272727272727273,\n\ |
|
|
\ \"acc_stderr\": 0.04265792110940589,\n \"acc_norm\": 0.7272727272727273,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04265792110940589\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\ |
|
|
\ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8606965174129353,\n\ |
|
|
\ \"acc_stderr\": 0.024484487162913973,\n \"acc_norm\": 0.8606965174129353,\n\ |
|
|
\ \"acc_norm_stderr\": 0.024484487162913973\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.03588702812826371,\n \ |
|
|
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.03588702812826371\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\ |
|
|
\ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ |
|
|
\ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ |
|
|
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.38922888616891066,\n\ |
|
|
\ \"mc1_stderr\": 0.017068552680690335,\n \"mc2\": 0.5486913365249292,\n\ |
|
|
\ \"mc2_stderr\": 0.015339111406271384\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.8082083662194159,\n \"acc_stderr\": 0.011065209664659527\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5375284306292646,\n \ |
|
|
\ \"acc_stderr\": 0.013733636059107759\n }\n}\n```" |
|
|
repo_url: https://huggingface.co/ABX-AI/Infinite-Laymons-9B |
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|
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard |
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|
point_of_contact: [email protected] |
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configs: |
|
|
- config_name: harness_arc_challenge_25 |
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|
data_files: |
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- split: 2024_04_10T11_48_19.797016 |
|
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path: |
|
|
- '**/details_harness|arc:challenge|25_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
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- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
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- '**/details_harness|gsm8k|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|gsm8k|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hellaswag_10 |
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data_files: |
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- split: 2024_04_10T11_48_19.797016 |
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path: |
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- '**/details_harness|hellaswag|10_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hellaswag|10_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_04_10T11_48_19.797016 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-04-10T11-48-19.797016.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-10T11-48-19.797016.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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data_files: |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-10T11-48-19.797016.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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- split: 2024_04_10T11_48_19.797016 |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_elementary_mathematics_5 |
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- config_name: harness_hendrycksTest_high_school_biology_5 |
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- config_name: harness_hendrycksTest_high_school_computer_science_5 |
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- config_name: harness_hendrycksTest_high_school_european_history_5 |
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- config_name: harness_hendrycksTest_high_school_mathematics_5 |
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- config_name: harness_hendrycksTest_high_school_microeconomics_5 |
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- config_name: harness_hendrycksTest_high_school_psychology_5 |
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- config_name: harness_hendrycksTest_high_school_us_history_5 |
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- config_name: harness_hendrycksTest_high_school_world_history_5 |
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- config_name: harness_hendrycksTest_human_aging_5 |
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- config_name: harness_hendrycksTest_machine_learning_5 |
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- config_name: harness_hendrycksTest_moral_disputes_5 |
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- config_name: harness_hendrycksTest_moral_scenarios_5 |
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- config_name: harness_hendrycksTest_nutrition_5 |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_philosophy_5 |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-04-10T11-48-19.797016.parquet' |
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- config_name: harness_hendrycksTest_prehistory_5 |
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- config_name: harness_hendrycksTest_professional_accounting_5 |
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- config_name: harness_hendrycksTest_professional_psychology_5 |
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- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-04-10T11-48-19.797016.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_04_10T11_48_19.797016 |
|
|
path: |
|
|
- results_2024-04-10T11-48-19.797016.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-04-10T11-48-19.797016.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of ABX-AI/Infinite-Laymons-9B |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [ABX-AI/Infinite-Laymons-9B](https://huggingface.co/ABX-AI/Infinite-Laymons-9B) 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_ABX-AI__Infinite-Laymons-9B", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-04-10T11:48:19.797016](https://huggingface.co/datasets/open-llm-leaderboard/details_ABX-AI__Infinite-Laymons-9B/blob/main/results_2024-04-10T11-48-19.797016.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": 0.645959924426964, |
|
|
"acc_stderr": 0.032166986596234216, |
|
|
"acc_norm": 0.6488478418620767, |
|
|
"acc_norm_stderr": 0.03281361203349943, |
|
|
"mc1": 0.38922888616891066, |
|
|
"mc1_stderr": 0.017068552680690335, |
|
|
"mc2": 0.5486913365249292, |
|
|
"mc2_stderr": 0.015339111406271384 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.6254266211604096, |
|
|
"acc_stderr": 0.014144193471893446, |
|
|
"acc_norm": 0.6561433447098977, |
|
|
"acc_norm_stderr": 0.013880644570156213 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.6478789085839474, |
|
|
"acc_stderr": 0.004766553336917499, |
|
|
"acc_norm": 0.8413662617008564, |
|
|
"acc_norm_stderr": 0.003645875568601287 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.32, |
|
|
"acc_stderr": 0.046882617226215034, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.046882617226215034 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.6222222222222222, |
|
|
"acc_stderr": 0.04188307537595852, |
|
|
"acc_norm": 0.6222222222222222, |
|
|
"acc_norm_stderr": 0.04188307537595852 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.6644736842105263, |
|
|
"acc_stderr": 0.038424985593952694, |
|
|
"acc_norm": 0.6644736842105263, |
|
|
"acc_norm_stderr": 0.038424985593952694 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.64, |
|
|
"acc_stderr": 0.04824181513244218, |
|
|
"acc_norm": 0.64, |
|
|
"acc_norm_stderr": 0.04824181513244218 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.6981132075471698, |
|
|
"acc_stderr": 0.02825420034443866, |
|
|
"acc_norm": 0.6981132075471698, |
|
|
"acc_norm_stderr": 0.02825420034443866 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.7638888888888888, |
|
|
"acc_stderr": 0.03551446610810826, |
|
|
"acc_norm": 0.7638888888888888, |
|
|
"acc_norm_stderr": 0.03551446610810826 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.45, |
|
|
"acc_stderr": 0.05, |
|
|
"acc_norm": 0.45, |
|
|
"acc_norm_stderr": 0.05 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.56, |
|
|
"acc_stderr": 0.04988876515698589, |
|
|
"acc_norm": 0.56, |
|
|
"acc_norm_stderr": 0.04988876515698589 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.35, |
|
|
"acc_stderr": 0.047937248544110196, |
|
|
"acc_norm": 0.35, |
|
|
"acc_norm_stderr": 0.047937248544110196 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.6705202312138728, |
|
|
"acc_stderr": 0.03583901754736412, |
|
|
"acc_norm": 0.6705202312138728, |
|
|
"acc_norm_stderr": 0.03583901754736412 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.4117647058823529, |
|
|
"acc_stderr": 0.048971049527263666, |
|
|
"acc_norm": 0.4117647058823529, |
|
|
"acc_norm_stderr": 0.048971049527263666 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.78, |
|
|
"acc_stderr": 0.04163331998932261, |
|
|
"acc_norm": 0.78, |
|
|
"acc_norm_stderr": 0.04163331998932261 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.574468085106383, |
|
|
"acc_stderr": 0.03232146916224468, |
|
|
"acc_norm": 0.574468085106383, |
|
|
"acc_norm_stderr": 0.03232146916224468 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.45614035087719296, |
|
|
"acc_stderr": 0.04685473041907789, |
|
|
"acc_norm": 0.45614035087719296, |
|
|
"acc_norm_stderr": 0.04685473041907789 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5310344827586206, |
|
|
"acc_stderr": 0.04158632762097828, |
|
|
"acc_norm": 0.5310344827586206, |
|
|
"acc_norm_stderr": 0.04158632762097828 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.4021164021164021, |
|
|
"acc_stderr": 0.025253032554997685, |
|
|
"acc_norm": 0.4021164021164021, |
|
|
"acc_norm_stderr": 0.025253032554997685 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.47619047619047616, |
|
|
"acc_stderr": 0.04467062628403273, |
|
|
"acc_norm": 0.47619047619047616, |
|
|
"acc_norm_stderr": 0.04467062628403273 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.39, |
|
|
"acc_stderr": 0.04902071300001975, |
|
|
"acc_norm": 0.39, |
|
|
"acc_norm_stderr": 0.04902071300001975 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.7903225806451613, |
|
|
"acc_stderr": 0.023157879349083525, |
|
|
"acc_norm": 0.7903225806451613, |
|
|
"acc_norm_stderr": 0.023157879349083525 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.4876847290640394, |
|
|
"acc_stderr": 0.035169204442208966, |
|
|
"acc_norm": 0.4876847290640394, |
|
|
"acc_norm_stderr": 0.035169204442208966 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.69, |
|
|
"acc_stderr": 0.04648231987117316, |
|
|
"acc_norm": 0.69, |
|
|
"acc_norm_stderr": 0.04648231987117316 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7575757575757576, |
|
|
"acc_stderr": 0.03346409881055953, |
|
|
"acc_norm": 0.7575757575757576, |
|
|
"acc_norm_stderr": 0.03346409881055953 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.7878787878787878, |
|
|
"acc_stderr": 0.029126522834586804, |
|
|
"acc_norm": 0.7878787878787878, |
|
|
"acc_norm_stderr": 0.029126522834586804 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.8911917098445595, |
|
|
"acc_stderr": 0.022473253332768776, |
|
|
"acc_norm": 0.8911917098445595, |
|
|
"acc_norm_stderr": 0.022473253332768776 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.6923076923076923, |
|
|
"acc_stderr": 0.023400928918310495, |
|
|
"acc_norm": 0.6923076923076923, |
|
|
"acc_norm_stderr": 0.023400928918310495 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.35185185185185186, |
|
|
"acc_stderr": 0.02911661760608301, |
|
|
"acc_norm": 0.35185185185185186, |
|
|
"acc_norm_stderr": 0.02911661760608301 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.7016806722689075, |
|
|
"acc_stderr": 0.029719142876342853, |
|
|
"acc_norm": 0.7016806722689075, |
|
|
"acc_norm_stderr": 0.029719142876342853 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.36423841059602646, |
|
|
"acc_stderr": 0.03929111781242742, |
|
|
"acc_norm": 0.36423841059602646, |
|
|
"acc_norm_stderr": 0.03929111781242742 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.8403669724770643, |
|
|
"acc_stderr": 0.015703498348461763, |
|
|
"acc_norm": 0.8403669724770643, |
|
|
"acc_norm_stderr": 0.015703498348461763 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.5138888888888888, |
|
|
"acc_stderr": 0.034086558679777494, |
|
|
"acc_norm": 0.5138888888888888, |
|
|
"acc_norm_stderr": 0.034086558679777494 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.8235294117647058, |
|
|
"acc_stderr": 0.026756401538078966, |
|
|
"acc_norm": 0.8235294117647058, |
|
|
"acc_norm_stderr": 0.026756401538078966 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7763713080168776, |
|
|
"acc_stderr": 0.027123298205229966, |
|
|
"acc_norm": 0.7763713080168776, |
|
|
"acc_norm_stderr": 0.027123298205229966 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6681614349775785, |
|
|
"acc_stderr": 0.03160295143776679, |
|
|
"acc_norm": 0.6681614349775785, |
|
|
"acc_norm_stderr": 0.03160295143776679 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.7938931297709924, |
|
|
"acc_stderr": 0.03547771004159464, |
|
|
"acc_norm": 0.7938931297709924, |
|
|
"acc_norm_stderr": 0.03547771004159464 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.8099173553719008, |
|
|
"acc_stderr": 0.03581796951709282, |
|
|
"acc_norm": 0.8099173553719008, |
|
|
"acc_norm_stderr": 0.03581796951709282 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.8055555555555556, |
|
|
"acc_stderr": 0.038260763248848646, |
|
|
"acc_norm": 0.8055555555555556, |
|
|
"acc_norm_stderr": 0.038260763248848646 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7607361963190185, |
|
|
"acc_stderr": 0.0335195387952127, |
|
|
"acc_norm": 0.7607361963190185, |
|
|
"acc_norm_stderr": 0.0335195387952127 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.48214285714285715, |
|
|
"acc_stderr": 0.047427623612430116, |
|
|
"acc_norm": 0.48214285714285715, |
|
|
"acc_norm_stderr": 0.047427623612430116 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7766990291262136, |
|
|
"acc_stderr": 0.04123553189891431, |
|
|
"acc_norm": 0.7766990291262136, |
|
|
"acc_norm_stderr": 0.04123553189891431 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8675213675213675, |
|
|
"acc_stderr": 0.022209309073165616, |
|
|
"acc_norm": 0.8675213675213675, |
|
|
"acc_norm_stderr": 0.022209309073165616 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.71, |
|
|
"acc_stderr": 0.045604802157206845, |
|
|
"acc_norm": 0.71, |
|
|
"acc_norm_stderr": 0.045604802157206845 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.8148148148148148, |
|
|
"acc_stderr": 0.013890862162876164, |
|
|
"acc_norm": 0.8148148148148148, |
|
|
"acc_norm_stderr": 0.013890862162876164 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.7196531791907514, |
|
|
"acc_stderr": 0.02418242749657761, |
|
|
"acc_norm": 0.7196531791907514, |
|
|
"acc_norm_stderr": 0.02418242749657761 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.3452513966480447, |
|
|
"acc_stderr": 0.015901432608930354, |
|
|
"acc_norm": 0.3452513966480447, |
|
|
"acc_norm_stderr": 0.015901432608930354 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.7189542483660131, |
|
|
"acc_stderr": 0.025738854797818733, |
|
|
"acc_norm": 0.7189542483660131, |
|
|
"acc_norm_stderr": 0.025738854797818733 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.7170418006430869, |
|
|
"acc_stderr": 0.025583062489984813, |
|
|
"acc_norm": 0.7170418006430869, |
|
|
"acc_norm_stderr": 0.025583062489984813 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.7376543209876543, |
|
|
"acc_stderr": 0.024477222856135107, |
|
|
"acc_norm": 0.7376543209876543, |
|
|
"acc_norm_stderr": 0.024477222856135107 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.48936170212765956, |
|
|
"acc_stderr": 0.029820747191422473, |
|
|
"acc_norm": 0.48936170212765956, |
|
|
"acc_norm_stderr": 0.029820747191422473 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.45632333767926986, |
|
|
"acc_stderr": 0.012721420501462547, |
|
|
"acc_norm": 0.45632333767926986, |
|
|
"acc_norm_stderr": 0.012721420501462547 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6948529411764706, |
|
|
"acc_stderr": 0.027971541370170595, |
|
|
"acc_norm": 0.6948529411764706, |
|
|
"acc_norm_stderr": 0.027971541370170595 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6650326797385621, |
|
|
"acc_stderr": 0.019094228167000318, |
|
|
"acc_norm": 0.6650326797385621, |
|
|
"acc_norm_stderr": 0.019094228167000318 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.7272727272727273, |
|
|
"acc_stderr": 0.04265792110940589, |
|
|
"acc_norm": 0.7272727272727273, |
|
|
"acc_norm_stderr": 0.04265792110940589 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.7224489795918367, |
|
|
"acc_stderr": 0.028666857790274648, |
|
|
"acc_norm": 0.7224489795918367, |
|
|
"acc_norm_stderr": 0.028666857790274648 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.8606965174129353, |
|
|
"acc_stderr": 0.024484487162913973, |
|
|
"acc_norm": 0.8606965174129353, |
|
|
"acc_norm_stderr": 0.024484487162913973 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.85, |
|
|
"acc_stderr": 0.03588702812826371, |
|
|
"acc_norm": 0.85, |
|
|
"acc_norm_stderr": 0.03588702812826371 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.536144578313253, |
|
|
"acc_stderr": 0.038823108508905954, |
|
|
"acc_norm": 0.536144578313253, |
|
|
"acc_norm_stderr": 0.038823108508905954 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8245614035087719, |
|
|
"acc_stderr": 0.029170885500727665, |
|
|
"acc_norm": 0.8245614035087719, |
|
|
"acc_norm_stderr": 0.029170885500727665 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.38922888616891066, |
|
|
"mc1_stderr": 0.017068552680690335, |
|
|
"mc2": 0.5486913365249292, |
|
|
"mc2_stderr": 0.015339111406271384 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.8082083662194159, |
|
|
"acc_stderr": 0.011065209664659527 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.5375284306292646, |
|
|
"acc_stderr": 0.013733636059107759 |
|
|
} |
|
|
} |
|
|
``` |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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### Dataset Sources [optional] |
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<!-- Provide the basic links for the dataset. --> |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the dataset is intended to be used. --> |
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### Direct Use |
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<!-- This section describes suitable use cases for the dataset. --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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[More Information Needed] |
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## Dataset Structure |
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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<!-- Motivation for the creation of this dataset. --> |
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[More Information Needed] |
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### Source Data |
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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#### Data Collection and Processing |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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[More Information Needed] |
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#### Who are the source data producers? |
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<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
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[More Information Needed] |
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### Annotations [optional] |
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
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#### Annotation process |
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<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> |
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[More Information Needed] |
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#### Who are the annotators? |
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<!-- This section describes the people or systems who created the annotations. --> |
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[More Information Needed] |
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#### Personal and Sensitive Information |
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<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Dataset Card Authors [optional] |
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[More Information Needed] |
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## Dataset Card Contact |
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[More Information Needed] |
