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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of AtAndDev/ShortKingv0.1
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [AtAndDev/ShortKingv0.1](https://huggingface.co/AtAndDev/ShortKingv0.1) on the\
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\ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of
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\ evaluated task.\n\nThe dataset has been created from
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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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@@ -12,171 +12,20 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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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_AtAndDev__ShortKingv0.1\"\
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,\n\t\"
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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 \"
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\ \"
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\ \"
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\ \"
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\ \"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036845,\n \
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\ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.04020151261036845\n },\n\
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\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.35555555555555557,\n\
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\ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.35555555555555557,\n\
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\ \"acc_norm_stderr\": 0.04135176749720385\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.17105263157894737,\n \"acc_stderr\": 0.030643607071677088,\n\
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\ \"acc_norm\": 0.17105263157894737,\n \"acc_norm_stderr\": 0.030643607071677088\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.31,\n\
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\ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \
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\ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.2641509433962264,\n \"acc_stderr\": 0.027134291628741702,\n\
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\ \"acc_norm\": 0.2641509433962264,\n \"acc_norm_stderr\": 0.027134291628741702\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2222222222222222,\n\
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\ \"acc_stderr\": 0.03476590104304135,\n \"acc_norm\": 0.2222222222222222,\n\
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\ \"acc_norm_stderr\": 0.03476590104304135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.18,\n \"acc_stderr\": 0.038612291966536955,\n \
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\ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.038612291966536955\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
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acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\"\
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: 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
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\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2138728323699422,\n\
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\ \"acc_stderr\": 0.03126511206173043,\n \"acc_norm\": 0.2138728323699422,\n\
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\ \"acc_norm_stderr\": 0.03126511206173043\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.24509803921568626,\n \"acc_stderr\": 0.04280105837364395,\n\
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\ \"acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.04280105837364395\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\": 0.32,\n\
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\ \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.25957446808510637,\n \"acc_stderr\": 0.028659179374292316,\n\
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\ \"acc_norm\": 0.25957446808510637,\n \"acc_norm_stderr\": 0.028659179374292316\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2543859649122807,\n\
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\ \"acc_stderr\": 0.04096985139843671,\n \"acc_norm\": 0.2543859649122807,\n\
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\ \"acc_norm_stderr\": 0.04096985139843671\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.3103448275862069,\n \"acc_stderr\": 0.038552896163789485,\n\
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\ \"acc_norm\": 0.3103448275862069,\n \"acc_norm_stderr\": 0.038552896163789485\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.2619047619047619,\n \"acc_stderr\": 0.022644212615525214,\n \"\
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acc_norm\": 0.2619047619047619,\n \"acc_norm_stderr\": 0.022644212615525214\n\
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\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.21428571428571427,\n\
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\ \"acc_stderr\": 0.03670066451047181,\n \"acc_norm\": 0.21428571428571427,\n\
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\ \"acc_norm_stderr\": 0.03670066451047181\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \
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\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.267741935483871,\n\
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\ \"acc_stderr\": 0.025189006660212385,\n \"acc_norm\": 0.267741935483871,\n\
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\ \"acc_norm_stderr\": 0.025189006660212385\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.24630541871921183,\n \"acc_stderr\": 0.030315099285617722,\n\
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\ \"acc_norm\": 0.24630541871921183,\n \"acc_norm_stderr\": 0.030315099285617722\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\
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: 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.28484848484848485,\n \"acc_stderr\": 0.03524390844511785,\n\
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\ \"acc_norm\": 0.28484848484848485,\n \"acc_norm_stderr\": 0.03524390844511785\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.23232323232323232,\n \"acc_stderr\": 0.030088629490217483,\n \"\
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acc_norm\": 0.23232323232323232,\n \"acc_norm_stderr\": 0.030088629490217483\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.22797927461139897,\n \"acc_stderr\": 0.030276909945178256,\n\
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\ \"acc_norm\": 0.22797927461139897,\n \"acc_norm_stderr\": 0.030276909945178256\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.2128205128205128,\n \"acc_stderr\": 0.020752423722128016,\n\
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\ \"acc_norm\": 0.2128205128205128,\n \"acc_norm_stderr\": 0.020752423722128016\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.24814814814814815,\n \"acc_stderr\": 0.0263357394040558,\n \
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\ \"acc_norm\": 0.24814814814814815,\n \"acc_norm_stderr\": 0.0263357394040558\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\
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\ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\
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acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.23302752293577983,\n \"acc_stderr\": 0.018125669180861517,\n \"\
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acc_norm\": 0.23302752293577983,\n \"acc_norm_stderr\": 0.018125669180861517\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.42592592592592593,\n \"acc_stderr\": 0.03372343271653063,\n \"\
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| 107 |
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acc_norm\": 0.42592592592592593,\n \"acc_norm_stderr\": 0.03372343271653063\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.25,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.25,\n\
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\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
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: {\n \"acc\": 0.24472573839662448,\n \"acc_stderr\": 0.027985699387036423,\n\
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\ \"acc_norm\": 0.24472573839662448,\n \"acc_norm_stderr\": 0.027985699387036423\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.21973094170403587,\n\
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\ \"acc_stderr\": 0.0277901770643836,\n \"acc_norm\": 0.21973094170403587,\n\
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\ \"acc_norm_stderr\": 0.0277901770643836\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.22137404580152673,\n \"acc_stderr\": 0.0364129708131373,\n\
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\ \"acc_norm\": 0.22137404580152673,\n \"acc_norm_stderr\": 0.0364129708131373\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.24793388429752067,\n \"acc_stderr\": 0.039418975265163025,\n \"\
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acc_norm\": 0.24793388429752067,\n \"acc_norm_stderr\": 0.039418975265163025\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.28703703703703703,\n\
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\ \"acc_stderr\": 0.04373313040914761,\n \"acc_norm\": 0.28703703703703703,\n\
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\ \"acc_norm_stderr\": 0.04373313040914761\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.3006134969325153,\n \"acc_stderr\": 0.03602511318806771,\n\
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\ \"acc_norm\": 0.3006134969325153,\n \"acc_norm_stderr\": 0.03602511318806771\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2857142857142857,\n\
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\ \"acc_stderr\": 0.04287858751340455,\n \"acc_norm\": 0.2857142857142857,\n\
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\ \"acc_norm_stderr\": 0.04287858751340455\n },\n \"harness|hendrycksTest-management|5\"\
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| 129 |
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: {\n \"acc\": 0.17475728155339806,\n \"acc_stderr\": 0.037601780060266224,\n\
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\ \"acc_norm\": 0.17475728155339806,\n \"acc_norm_stderr\": 0.037601780060266224\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.24358974358974358,\n\
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\ \"acc_stderr\": 0.028120966503914407,\n \"acc_norm\": 0.24358974358974358,\n\
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\ \"acc_norm_stderr\": 0.028120966503914407\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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| 134 |
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: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
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\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2567049808429119,\n\
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| 137 |
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\ \"acc_stderr\": 0.015620480263064536,\n \"acc_norm\": 0.2567049808429119,\n\
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| 138 |
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\ \"acc_norm_stderr\": 0.015620480263064536\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 139 |
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: {\n \"acc\": 0.2658959537572254,\n \"acc_stderr\": 0.02378620325550828,\n\
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\ \"acc_norm\": 0.2658959537572254,\n \"acc_norm_stderr\": 0.02378620325550828\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23798882681564246,\n\
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\ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\
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\ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 144 |
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: {\n \"acc\": 0.25163398692810457,\n \"acc_stderr\": 0.0248480182638752,\n\
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\ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.0248480182638752\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2572347266881029,\n\
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| 147 |
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\ \"acc_stderr\": 0.024826171289250888,\n \"acc_norm\": 0.2572347266881029,\n\
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\ \"acc_norm_stderr\": 0.024826171289250888\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.2808641975308642,\n \"acc_stderr\": 0.025006469755799208,\n\
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\ \"acc_norm\": 0.2808641975308642,\n \"acc_norm_stderr\": 0.025006469755799208\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 152 |
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acc\": 0.24113475177304963,\n \"acc_stderr\": 0.025518731049537776,\n \
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| 153 |
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\ \"acc_norm\": 0.24113475177304963,\n \"acc_norm_stderr\": 0.025518731049537776\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2457627118644068,\n\
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| 155 |
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\ \"acc_stderr\": 0.010996156635142692,\n \"acc_norm\": 0.2457627118644068,\n\
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| 156 |
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\ \"acc_norm_stderr\": 0.010996156635142692\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 157 |
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: {\n \"acc\": 0.22058823529411764,\n \"acc_stderr\": 0.02518778666022727,\n\
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| 158 |
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\ \"acc_norm\": 0.22058823529411764,\n \"acc_norm_stderr\": 0.02518778666022727\n\
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| 159 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 160 |
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acc\": 0.2581699346405229,\n \"acc_stderr\": 0.017704531653250068,\n \
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| 161 |
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\ \"acc_norm\": 0.2581699346405229,\n \"acc_norm_stderr\": 0.017704531653250068\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.24545454545454545,\n\
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\ \"acc_stderr\": 0.04122066502878285,\n \"acc_norm\": 0.24545454545454545,\n\
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| 164 |
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\ \"acc_norm_stderr\": 0.04122066502878285\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 165 |
-
: {\n \"acc\": 0.17142857142857143,\n \"acc_stderr\": 0.02412746346265014,\n\
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| 166 |
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\ \"acc_norm\": 0.17142857142857143,\n \"acc_norm_stderr\": 0.02412746346265014\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.27860696517412936,\n\
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| 168 |
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\ \"acc_stderr\": 0.031700561834973086,\n \"acc_norm\": 0.27860696517412936,\n\
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| 169 |
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\ \"acc_norm_stderr\": 0.031700561834973086\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 170 |
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: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
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| 171 |
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\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.2469879518072289,\n\
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\ \"acc_stderr\": 0.03357351982064537,\n \"acc_norm\": 0.2469879518072289,\n\
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\ \"acc_norm_stderr\": 0.03357351982064537\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.2807017543859649,\n \"acc_stderr\": 0.034462962170884265,\n\
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\ \"acc_norm\": 0.2807017543859649,\n \"acc_norm_stderr\": 0.034462962170884265\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2460220318237454,\n\
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\ \"mc1_stderr\": 0.01507721920066259,\n \"mc2\": 0.41640643343088124,\n\
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\ \"mc2_stderr\": 0.014296687341198629\n }\n}\n```"
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repo_url: https://huggingface.co/AtAndDev/ShortKingv0.1
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-10-03T17-59-37.972814.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_03T17_59_37.972814
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@@ -781,14 +646,25 @@ configs:
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- split: latest
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| 782 |
path:
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| 783 |
- '**/details_harness|truthfulqa:mc|0_2023-10-03T17-59-37.972814.parquet'
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- config_name: results
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data_files:
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- split: 2023_10_03T17_59_37.972814
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| 787 |
path:
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| 788 |
- results_2023-10-03T17-59-37.972814.parquet
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| 789 |
- split: latest
|
| 790 |
path:
|
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-
- results_2023-10-
|
| 792 |
---
|
| 793 |
|
| 794 |
# Dataset Card for Evaluation run of AtAndDev/ShortKingv0.1
|
|
@@ -805,9 +681,9 @@ configs:
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|
| 805 |
|
| 806 |
Dataset automatically created during the evaluation run of model [AtAndDev/ShortKingv0.1](https://huggingface.co/AtAndDev/ShortKingv0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 807 |
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| 808 |
-
The dataset is composed of
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| 809 |
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-
The dataset has been created from
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| 811 |
|
| 812 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 813 |
|
|
@@ -815,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 815 |
```python
|
| 816 |
from datasets import load_dataset
|
| 817 |
data = load_dataset("open-llm-leaderboard/details_AtAndDev__ShortKingv0.1",
|
| 818 |
-
"
|
| 819 |
split="train")
|
| 820 |
```
|
| 821 |
|
| 822 |
## Latest results
|
| 823 |
|
| 824 |
-
These are the [latest results from run 2023-10-
|
| 825 |
|
| 826 |
```python
|
| 827 |
{
|
| 828 |
"all": {
|
| 829 |
-
"
|
| 830 |
-
"
|
| 831 |
-
"
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-
"
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-
"
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-
"
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-
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-
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-
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-
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-
"
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-
"
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-
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-
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-
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-
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-
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-
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-
"
|
| 848 |
-
"
|
| 849 |
-
},
|
| 850 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 851 |
-
"acc": 0.2,
|
| 852 |
-
"acc_stderr": 0.04020151261036845,
|
| 853 |
-
"acc_norm": 0.2,
|
| 854 |
-
"acc_norm_stderr": 0.04020151261036845
|
| 855 |
-
},
|
| 856 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 857 |
-
"acc": 0.35555555555555557,
|
| 858 |
-
"acc_stderr": 0.04135176749720385,
|
| 859 |
-
"acc_norm": 0.35555555555555557,
|
| 860 |
-
"acc_norm_stderr": 0.04135176749720385
|
| 861 |
-
},
|
| 862 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 863 |
-
"acc": 0.17105263157894737,
|
| 864 |
-
"acc_stderr": 0.030643607071677088,
|
| 865 |
-
"acc_norm": 0.17105263157894737,
|
| 866 |
-
"acc_norm_stderr": 0.030643607071677088
|
| 867 |
-
},
|
| 868 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 869 |
-
"acc": 0.31,
|
| 870 |
-
"acc_stderr": 0.04648231987117316,
|
| 871 |
-
"acc_norm": 0.31,
|
| 872 |
-
"acc_norm_stderr": 0.04648231987117316
|
| 873 |
-
},
|
| 874 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 875 |
-
"acc": 0.2641509433962264,
|
| 876 |
-
"acc_stderr": 0.027134291628741702,
|
| 877 |
-
"acc_norm": 0.2641509433962264,
|
| 878 |
-
"acc_norm_stderr": 0.027134291628741702
|
| 879 |
-
},
|
| 880 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 881 |
-
"acc": 0.2222222222222222,
|
| 882 |
-
"acc_stderr": 0.03476590104304135,
|
| 883 |
-
"acc_norm": 0.2222222222222222,
|
| 884 |
-
"acc_norm_stderr": 0.03476590104304135
|
| 885 |
-
},
|
| 886 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 887 |
-
"acc": 0.18,
|
| 888 |
-
"acc_stderr": 0.038612291966536955,
|
| 889 |
-
"acc_norm": 0.18,
|
| 890 |
-
"acc_norm_stderr": 0.038612291966536955
|
| 891 |
-
},
|
| 892 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 893 |
-
"acc": 0.35,
|
| 894 |
-
"acc_stderr": 0.0479372485441102,
|
| 895 |
-
"acc_norm": 0.35,
|
| 896 |
-
"acc_norm_stderr": 0.0479372485441102
|
| 897 |
-
},
|
| 898 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 899 |
-
"acc": 0.3,
|
| 900 |
-
"acc_stderr": 0.046056618647183814,
|
| 901 |
-
"acc_norm": 0.3,
|
| 902 |
-
"acc_norm_stderr": 0.046056618647183814
|
| 903 |
-
},
|
| 904 |
-
"harness|hendrycksTest-college_medicine|5": {
|
| 905 |
-
"acc": 0.2138728323699422,
|
| 906 |
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"acc_stderr": 0.03126511206173043,
|
| 907 |
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"acc_norm": 0.2138728323699422,
|
| 908 |
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"acc_norm_stderr": 0.03126511206173043
|
| 909 |
-
},
|
| 910 |
-
"harness|hendrycksTest-college_physics|5": {
|
| 911 |
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"acc": 0.24509803921568626,
|
| 912 |
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"acc_stderr": 0.04280105837364395,
|
| 913 |
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"acc_norm": 0.24509803921568626,
|
| 914 |
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"acc_norm_stderr": 0.04280105837364395
|
| 915 |
-
},
|
| 916 |
-
"harness|hendrycksTest-computer_security|5": {
|
| 917 |
-
"acc": 0.32,
|
| 918 |
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"acc_stderr": 0.046882617226215034,
|
| 919 |
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"acc_norm": 0.32,
|
| 920 |
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"acc_norm_stderr": 0.046882617226215034
|
| 921 |
-
},
|
| 922 |
-
"harness|hendrycksTest-conceptual_physics|5": {
|
| 923 |
-
"acc": 0.25957446808510637,
|
| 924 |
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"acc_stderr": 0.028659179374292316,
|
| 925 |
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"acc_norm": 0.25957446808510637,
|
| 926 |
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|
| 927 |
-
},
|
| 928 |
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"harness|hendrycksTest-econometrics|5": {
|
| 929 |
-
"acc": 0.2543859649122807,
|
| 930 |
-
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|
| 931 |
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|
| 932 |
-
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|
| 933 |
-
},
|
| 934 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 935 |
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|
| 936 |
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|
| 938 |
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|
| 939 |
-
},
|
| 940 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 941 |
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|
| 942 |
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|
| 944 |
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|
| 945 |
-
},
|
| 946 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 947 |
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|
| 948 |
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| 949 |
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|
| 950 |
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|
| 951 |
-
},
|
| 952 |
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"harness|hendrycksTest-global_facts|5": {
|
| 953 |
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"acc": 0.33,
|
| 954 |
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|
| 955 |
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|
| 956 |
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|
| 957 |
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},
|
| 958 |
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"harness|hendrycksTest-high_school_biology|5": {
|
| 959 |
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|
| 960 |
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| 961 |
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| 962 |
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|
| 963 |
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},
|
| 964 |
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"harness|hendrycksTest-high_school_chemistry|5": {
|
| 965 |
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"acc": 0.24630541871921183,
|
| 966 |
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| 967 |
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| 968 |
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|
| 969 |
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},
|
| 970 |
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"harness|hendrycksTest-high_school_computer_science|5": {
|
| 971 |
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"acc": 0.3,
|
| 972 |
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|
| 973 |
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|
| 974 |
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|
| 975 |
-
},
|
| 976 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 977 |
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"acc": 0.28484848484848485,
|
| 978 |
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| 979 |
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|
| 980 |
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|
| 981 |
-
},
|
| 982 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 983 |
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"acc": 0.23232323232323232,
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| 984 |
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| 985 |
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|
| 986 |
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"acc_norm_stderr": 0.030088629490217483
|
| 987 |
-
},
|
| 988 |
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"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 989 |
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"acc": 0.22797927461139897,
|
| 990 |
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| 991 |
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|
| 992 |
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|
| 993 |
-
},
|
| 994 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 995 |
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"acc": 0.2128205128205128,
|
| 996 |
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|
| 998 |
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"acc_norm_stderr": 0.020752423722128016
|
| 999 |
-
},
|
| 1000 |
-
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1001 |
-
"acc": 0.24814814814814815,
|
| 1002 |
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|
| 1003 |
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|
| 1004 |
-
"acc_norm_stderr": 0.0263357394040558
|
| 1005 |
-
},
|
| 1006 |
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"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1007 |
-
"acc": 0.21008403361344538,
|
| 1008 |
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|
| 1009 |
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|
| 1010 |
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|
| 1011 |
-
},
|
| 1012 |
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|
| 1013 |
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|
| 1014 |
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| 1015 |
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|
| 1016 |
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|
| 1017 |
-
},
|
| 1018 |
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|
| 1019 |
-
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|
| 1020 |
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|
| 1021 |
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|
| 1022 |
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|
| 1023 |
-
},
|
| 1024 |
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"harness|hendrycksTest-high_school_statistics|5": {
|
| 1025 |
-
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|
| 1026 |
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|
| 1027 |
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|
| 1028 |
-
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|
| 1029 |
-
},
|
| 1030 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1031 |
-
"acc": 0.25,
|
| 1032 |
-
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|
| 1033 |
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"acc_norm": 0.25,
|
| 1034 |
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|
| 1035 |
-
},
|
| 1036 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1037 |
-
"acc": 0.24472573839662448,
|
| 1038 |
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|
| 1039 |
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|
| 1040 |
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|
| 1041 |
-
},
|
| 1042 |
-
"harness|hendrycksTest-human_aging|5": {
|
| 1043 |
-
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|
| 1044 |
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|
| 1045 |
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|
| 1046 |
-
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|
| 1047 |
-
},
|
| 1048 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1049 |
-
"acc": 0.22137404580152673,
|
| 1050 |
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|
| 1051 |
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|
| 1052 |
-
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|
| 1053 |
-
},
|
| 1054 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1055 |
-
"acc": 0.24793388429752067,
|
| 1056 |
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| 1057 |
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|
| 1058 |
-
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|
| 1059 |
-
},
|
| 1060 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1061 |
-
"acc": 0.28703703703703703,
|
| 1062 |
-
"acc_stderr": 0.04373313040914761,
|
| 1063 |
-
"acc_norm": 0.28703703703703703,
|
| 1064 |
-
"acc_norm_stderr": 0.04373313040914761
|
| 1065 |
-
},
|
| 1066 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1067 |
-
"acc": 0.3006134969325153,
|
| 1068 |
-
"acc_stderr": 0.03602511318806771,
|
| 1069 |
-
"acc_norm": 0.3006134969325153,
|
| 1070 |
-
"acc_norm_stderr": 0.03602511318806771
|
| 1071 |
-
},
|
| 1072 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1073 |
-
"acc": 0.2857142857142857,
|
| 1074 |
-
"acc_stderr": 0.04287858751340455,
|
| 1075 |
-
"acc_norm": 0.2857142857142857,
|
| 1076 |
-
"acc_norm_stderr": 0.04287858751340455
|
| 1077 |
-
},
|
| 1078 |
-
"harness|hendrycksTest-management|5": {
|
| 1079 |
-
"acc": 0.17475728155339806,
|
| 1080 |
-
"acc_stderr": 0.037601780060266224,
|
| 1081 |
-
"acc_norm": 0.17475728155339806,
|
| 1082 |
-
"acc_norm_stderr": 0.037601780060266224
|
| 1083 |
-
},
|
| 1084 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1085 |
-
"acc": 0.24358974358974358,
|
| 1086 |
-
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|
| 1087 |
-
"acc_norm": 0.24358974358974358,
|
| 1088 |
-
"acc_norm_stderr": 0.028120966503914407
|
| 1089 |
-
},
|
| 1090 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1091 |
-
"acc": 0.27,
|
| 1092 |
-
"acc_stderr": 0.044619604333847394,
|
| 1093 |
-
"acc_norm": 0.27,
|
| 1094 |
-
"acc_norm_stderr": 0.044619604333847394
|
| 1095 |
-
},
|
| 1096 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1097 |
-
"acc": 0.2567049808429119,
|
| 1098 |
-
"acc_stderr": 0.015620480263064536,
|
| 1099 |
-
"acc_norm": 0.2567049808429119,
|
| 1100 |
-
"acc_norm_stderr": 0.015620480263064536
|
| 1101 |
-
},
|
| 1102 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1103 |
-
"acc": 0.2658959537572254,
|
| 1104 |
-
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| 1105 |
-
"acc_norm": 0.2658959537572254,
|
| 1106 |
-
"acc_norm_stderr": 0.02378620325550828
|
| 1107 |
-
},
|
| 1108 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1109 |
-
"acc": 0.23798882681564246,
|
| 1110 |
-
"acc_stderr": 0.014242630070574915,
|
| 1111 |
-
"acc_norm": 0.23798882681564246,
|
| 1112 |
-
"acc_norm_stderr": 0.014242630070574915
|
| 1113 |
-
},
|
| 1114 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1115 |
-
"acc": 0.25163398692810457,
|
| 1116 |
-
"acc_stderr": 0.0248480182638752,
|
| 1117 |
-
"acc_norm": 0.25163398692810457,
|
| 1118 |
-
"acc_norm_stderr": 0.0248480182638752
|
| 1119 |
-
},
|
| 1120 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1121 |
-
"acc": 0.2572347266881029,
|
| 1122 |
-
"acc_stderr": 0.024826171289250888,
|
| 1123 |
-
"acc_norm": 0.2572347266881029,
|
| 1124 |
-
"acc_norm_stderr": 0.024826171289250888
|
| 1125 |
-
},
|
| 1126 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1127 |
-
"acc": 0.2808641975308642,
|
| 1128 |
-
"acc_stderr": 0.025006469755799208,
|
| 1129 |
-
"acc_norm": 0.2808641975308642,
|
| 1130 |
-
"acc_norm_stderr": 0.025006469755799208
|
| 1131 |
-
},
|
| 1132 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1133 |
-
"acc": 0.24113475177304963,
|
| 1134 |
-
"acc_stderr": 0.025518731049537776,
|
| 1135 |
-
"acc_norm": 0.24113475177304963,
|
| 1136 |
-
"acc_norm_stderr": 0.025518731049537776
|
| 1137 |
-
},
|
| 1138 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1139 |
-
"acc": 0.2457627118644068,
|
| 1140 |
-
"acc_stderr": 0.010996156635142692,
|
| 1141 |
-
"acc_norm": 0.2457627118644068,
|
| 1142 |
-
"acc_norm_stderr": 0.010996156635142692
|
| 1143 |
-
},
|
| 1144 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1145 |
-
"acc": 0.22058823529411764,
|
| 1146 |
-
"acc_stderr": 0.02518778666022727,
|
| 1147 |
-
"acc_norm": 0.22058823529411764,
|
| 1148 |
-
"acc_norm_stderr": 0.02518778666022727
|
| 1149 |
-
},
|
| 1150 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1151 |
-
"acc": 0.2581699346405229,
|
| 1152 |
-
"acc_stderr": 0.017704531653250068,
|
| 1153 |
-
"acc_norm": 0.2581699346405229,
|
| 1154 |
-
"acc_norm_stderr": 0.017704531653250068
|
| 1155 |
-
},
|
| 1156 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1157 |
-
"acc": 0.24545454545454545,
|
| 1158 |
-
"acc_stderr": 0.04122066502878285,
|
| 1159 |
-
"acc_norm": 0.24545454545454545,
|
| 1160 |
-
"acc_norm_stderr": 0.04122066502878285
|
| 1161 |
-
},
|
| 1162 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1163 |
-
"acc": 0.17142857142857143,
|
| 1164 |
-
"acc_stderr": 0.02412746346265014,
|
| 1165 |
-
"acc_norm": 0.17142857142857143,
|
| 1166 |
-
"acc_norm_stderr": 0.02412746346265014
|
| 1167 |
-
},
|
| 1168 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1169 |
-
"acc": 0.27860696517412936,
|
| 1170 |
-
"acc_stderr": 0.031700561834973086,
|
| 1171 |
-
"acc_norm": 0.27860696517412936,
|
| 1172 |
-
"acc_norm_stderr": 0.031700561834973086
|
| 1173 |
-
},
|
| 1174 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1175 |
-
"acc": 0.3,
|
| 1176 |
-
"acc_stderr": 0.046056618647183814,
|
| 1177 |
-
"acc_norm": 0.3,
|
| 1178 |
-
"acc_norm_stderr": 0.046056618647183814
|
| 1179 |
-
},
|
| 1180 |
-
"harness|hendrycksTest-virology|5": {
|
| 1181 |
-
"acc": 0.2469879518072289,
|
| 1182 |
-
"acc_stderr": 0.03357351982064537,
|
| 1183 |
-
"acc_norm": 0.2469879518072289,
|
| 1184 |
-
"acc_norm_stderr": 0.03357351982064537
|
| 1185 |
-
},
|
| 1186 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1187 |
-
"acc": 0.2807017543859649,
|
| 1188 |
-
"acc_stderr": 0.034462962170884265,
|
| 1189 |
-
"acc_norm": 0.2807017543859649,
|
| 1190 |
-
"acc_norm_stderr": 0.034462962170884265
|
| 1191 |
-
},
|
| 1192 |
-
"harness|truthfulqa:mc|0": {
|
| 1193 |
-
"mc1": 0.2460220318237454,
|
| 1194 |
-
"mc1_stderr": 0.01507721920066259,
|
| 1195 |
-
"mc2": 0.41640643343088124,
|
| 1196 |
-
"mc2_stderr": 0.014296687341198629
|
| 1197 |
}
|
| 1198 |
}
|
| 1199 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [AtAndDev/ShortKingv0.1](https://huggingface.co/AtAndDev/ShortKingv0.1) on the\
|
| 5 |
\ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_AtAndDev__ShortKingv0.1\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-24T00:55:05.543102](https://huggingface.co/datasets/open-llm-leaderboard/details_AtAndDev__ShortKingv0.1/blob/main/results_2023-10-24T00-55-05.543102.json)(note\
|
| 17 |
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 18 |
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.0050335570469798654,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0007247385547751907,\n \"f1\": 0.054680159395973316,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0014128539394208607,\n \"acc\": 0.28246387417700025,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.007901602410009655\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.0050335570469798654,\n \"em_stderr\": 0.0007247385547751907,\n\
|
| 24 |
+
\ \"f1\": 0.054680159395973316,\n \"f1_stderr\": 0.0014128539394208607\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.004548900682335102,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.0018535550440036204\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.5603788476716653,\n \"acc_stderr\": 0.01394964977601569\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/AtAndDev/ShortKingv0.1
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-10-03T17-59-37.972814.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_24T00_55_05.543102
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-24T00-55-05.543102.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-24T00-55-05.543102.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_24T00_55_05.543102
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-24T00-55-05.543102.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-24T00-55-05.543102.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_10_03T17_59_37.972814
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-03T17-59-37.972814.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_24T00_55_05.543102
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-24T00-55-05.543102.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-24T00-55-05.543102.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_10_03T17_59_37.972814
|
| 660 |
path:
|
| 661 |
- results_2023-10-03T17-59-37.972814.parquet
|
| 662 |
+
- split: 2023_10_24T00_55_05.543102
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-24T00-55-05.543102.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-24T00-55-05.543102.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of AtAndDev/ShortKingv0.1
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [AtAndDev/ShortKingv0.1](https://huggingface.co/AtAndDev/ShortKingv0.1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 683 |
|
| 684 |
+
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
|
| 685 |
|
| 686 |
+
The dataset has been created from 2 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.
|
| 687 |
|
| 688 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 689 |
|
|
|
|
| 691 |
```python
|
| 692 |
from datasets import load_dataset
|
| 693 |
data = load_dataset("open-llm-leaderboard/details_AtAndDev__ShortKingv0.1",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-24T00:55:05.543102](https://huggingface.co/datasets/open-llm-leaderboard/details_AtAndDev__ShortKingv0.1/blob/main/results_2023-10-24T00-55-05.543102.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):
|
| 701 |
|
| 702 |
```python
|
| 703 |
{
|
| 704 |
"all": {
|
| 705 |
+
"em": 0.0050335570469798654,
|
| 706 |
+
"em_stderr": 0.0007247385547751907,
|
| 707 |
+
"f1": 0.054680159395973316,
|
| 708 |
+
"f1_stderr": 0.0014128539394208607,
|
| 709 |
+
"acc": 0.28246387417700025,
|
| 710 |
+
"acc_stderr": 0.007901602410009655
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.0050335570469798654,
|
| 714 |
+
"em_stderr": 0.0007247385547751907,
|
| 715 |
+
"f1": 0.054680159395973316,
|
| 716 |
+
"f1_stderr": 0.0014128539394208607
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.004548900682335102,
|
| 720 |
+
"acc_stderr": 0.0018535550440036204
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.5603788476716653,
|
| 724 |
+
"acc_stderr": 0.01394964977601569
|
|
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|