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README.md
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of Sao10K/BrainDerp2
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Sao10K/BrainDerp2](https://huggingface.co/Sao10K/BrainDerp2) on the [Open LLM\
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\ 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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@@ -12,172 +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_Sao10K__BrainDerp2\"\
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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\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \
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\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5111111111111111,\n\
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\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.5111111111111111,\n\
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\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.5789473684210527,\n \"acc_stderr\": 0.04017901275981749,\n\
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\ \"acc_norm\": 0.5789473684210527,\n \"acc_norm_stderr\": 0.04017901275981749\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\
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\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \
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\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.6339622641509434,\n \"acc_stderr\": 0.029647813539365242,\n\
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\ \"acc_norm\": 0.6339622641509434,\n \"acc_norm_stderr\": 0.029647813539365242\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.625,\n\
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\ \"acc_stderr\": 0.04048439222695598,\n \"acc_norm\": 0.625,\n \
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\ \"acc_norm_stderr\": 0.04048439222695598\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.04960449637488584,\n \
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\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.04960449637488584\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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: 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n\
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\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
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\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5838150289017341,\n\
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\ \"acc_stderr\": 0.03758517775404948,\n \"acc_norm\": 0.5838150289017341,\n\
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\ \"acc_norm_stderr\": 0.03758517775404948\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062946,\n\
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\ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062946\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.68,\n \"acc_stderr\": 0.046882617226215055,\n \"acc_norm\": 0.68,\n\
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\ \"acc_norm_stderr\": 0.046882617226215055\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.502127659574468,\n \"acc_stderr\": 0.03268572658667492,\n\
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\ \"acc_norm\": 0.502127659574468,\n \"acc_norm_stderr\": 0.03268572658667492\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3157894736842105,\n\
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\ \"acc_stderr\": 0.04372748290278007,\n \"acc_norm\": 0.3157894736842105,\n\
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\ \"acc_norm_stderr\": 0.04372748290278007\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\
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\ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.373015873015873,\n \"acc_stderr\": 0.02490699045899257,\n \"acc_norm\"\
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: 0.373015873015873,\n \"acc_norm_stderr\": 0.02490699045899257\n },\n\
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\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3888888888888889,\n\
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\ \"acc_stderr\": 0.0436031486007746,\n \"acc_norm\": 0.3888888888888889,\n\
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\ \"acc_norm_stderr\": 0.0436031486007746\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
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\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7064516129032258,\n\
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\ \"acc_stderr\": 0.025906087021319295,\n \"acc_norm\": 0.7064516129032258,\n\
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\ \"acc_norm_stderr\": 0.025906087021319295\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.4729064039408867,\n \"acc_stderr\": 0.03512819077876106,\n\
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\ \"acc_norm\": 0.4729064039408867,\n \"acc_norm_stderr\": 0.03512819077876106\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n\
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\ \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.696969696969697,\n \"acc_stderr\": 0.03588624800091707,\n\
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\ \"acc_norm\": 0.696969696969697,\n \"acc_norm_stderr\": 0.03588624800091707\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198906,\n \"\
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acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198906\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.8497409326424871,\n \"acc_stderr\": 0.025787723180723872,\n\
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\ \"acc_norm\": 0.8497409326424871,\n \"acc_norm_stderr\": 0.025787723180723872\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.6358974358974359,\n \"acc_stderr\": 0.024396672985094767,\n\
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\ \"acc_norm\": 0.6358974358974359,\n \"acc_norm_stderr\": 0.024396672985094767\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.3296296296296296,\n \"acc_stderr\": 0.02866120111652459,\n \
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\ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.02866120111652459\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.5966386554621849,\n \"acc_stderr\": 0.031866081214088314,\n\
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\ \"acc_norm\": 0.5966386554621849,\n \"acc_norm_stderr\": 0.031866081214088314\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.31788079470198677,\n \"acc_stderr\": 0.03802039760107903,\n \"\
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acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.03802039760107903\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.7926605504587156,\n \"acc_stderr\": 0.01738141556360868,\n \"\
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acc_norm\": 0.7926605504587156,\n \"acc_norm_stderr\": 0.01738141556360868\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.4074074074074074,\n \"acc_stderr\": 0.03350991604696042,\n \"\
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| 107 |
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acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.03350991604696042\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.8382352941176471,\n \"acc_stderr\": 0.025845017986926917,\n \"\
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acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.025845017986926917\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7679324894514767,\n \"acc_stderr\": 0.027479744550808514,\n \
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\ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.027479744550808514\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6995515695067265,\n\
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\ \"acc_stderr\": 0.03076935200822915,\n \"acc_norm\": 0.6995515695067265,\n\
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\ \"acc_norm_stderr\": 0.03076935200822915\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864908,\n\
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\ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864908\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.7024793388429752,\n \"acc_stderr\": 0.04173349148083499,\n \"\
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acc_norm\": 0.7024793388429752,\n \"acc_norm_stderr\": 0.04173349148083499\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\
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\ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\
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\ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.6809815950920245,\n \"acc_stderr\": 0.03661997551073836,\n\
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\ \"acc_norm\": 0.6809815950920245,\n \"acc_norm_stderr\": 0.03661997551073836\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.41964285714285715,\n\
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\ \"acc_stderr\": 0.04684099321077106,\n \"acc_norm\": 0.41964285714285715,\n\
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\ \"acc_norm_stderr\": 0.04684099321077106\n },\n \"harness|hendrycksTest-management|5\"\
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| 130 |
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: {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729224,\n\
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\ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729224\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8162393162393162,\n\
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\ \"acc_stderr\": 0.02537213967172293,\n \"acc_norm\": 0.8162393162393162,\n\
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\ \"acc_norm_stderr\": 0.02537213967172293\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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| 135 |
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: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \
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\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7790549169859514,\n\
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| 138 |
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\ \"acc_stderr\": 0.014836205167333564,\n \"acc_norm\": 0.7790549169859514,\n\
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| 139 |
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\ \"acc_norm_stderr\": 0.014836205167333564\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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| 140 |
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: {\n \"acc\": 0.6589595375722543,\n \"acc_stderr\": 0.025522474632121615,\n\
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\ \"acc_norm\": 0.6589595375722543,\n \"acc_norm_stderr\": 0.025522474632121615\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.43798882681564244,\n\
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\ \"acc_stderr\": 0.016593394227564846,\n \"acc_norm\": 0.43798882681564244,\n\
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\ \"acc_norm_stderr\": 0.016593394227564846\n },\n \"harness|hendrycksTest-nutrition|5\"\
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| 145 |
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: {\n \"acc\": 0.6633986928104575,\n \"acc_stderr\": 0.02705797462449438,\n\
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\ \"acc_norm\": 0.6633986928104575,\n \"acc_norm_stderr\": 0.02705797462449438\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6559485530546624,\n\
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| 148 |
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\ \"acc_stderr\": 0.026981478043648043,\n \"acc_norm\": 0.6559485530546624,\n\
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\ \"acc_norm_stderr\": 0.026981478043648043\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.6790123456790124,\n \"acc_stderr\": 0.025976566010862744,\n\
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| 151 |
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\ \"acc_norm\": 0.6790123456790124,\n \"acc_norm_stderr\": 0.025976566010862744\n\
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| 152 |
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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| 153 |
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acc\": 0.46808510638297873,\n \"acc_stderr\": 0.029766675075873866,\n \
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| 154 |
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\ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.029766675075873866\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4452411994784876,\n\
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| 156 |
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\ \"acc_stderr\": 0.012693421303973294,\n \"acc_norm\": 0.4452411994784876,\n\
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| 157 |
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\ \"acc_norm_stderr\": 0.012693421303973294\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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| 158 |
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: {\n \"acc\": 0.5588235294117647,\n \"acc_stderr\": 0.03016191193076711,\n\
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| 159 |
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\ \"acc_norm\": 0.5588235294117647,\n \"acc_norm_stderr\": 0.03016191193076711\n\
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| 160 |
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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| 161 |
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acc\": 0.5947712418300654,\n \"acc_stderr\": 0.019861155193829156,\n \
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| 162 |
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\ \"acc_norm\": 0.5947712418300654,\n \"acc_norm_stderr\": 0.019861155193829156\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\
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| 164 |
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\ \"acc_stderr\": 0.04461272175910508,\n \"acc_norm\": 0.6818181818181818,\n\
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| 165 |
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\ \"acc_norm_stderr\": 0.04461272175910508\n },\n \"harness|hendrycksTest-security_studies|5\"\
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| 166 |
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: {\n \"acc\": 0.6612244897959184,\n \"acc_stderr\": 0.030299506562154188,\n\
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| 167 |
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\ \"acc_norm\": 0.6612244897959184,\n \"acc_norm_stderr\": 0.030299506562154188\n\
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| 168 |
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7611940298507462,\n\
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| 169 |
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\ \"acc_stderr\": 0.03014777593540922,\n \"acc_norm\": 0.7611940298507462,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.03014777593540922\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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| 171 |
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: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536934,\n \
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| 172 |
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\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536934\n \
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\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5060240963855421,\n\
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\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.5060240963855421,\n\
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| 175 |
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\ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\
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| 176 |
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: {\n \"acc\": 0.7953216374269005,\n \"acc_stderr\": 0.03094445977853321,\n\
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\ \"acc_norm\": 0.7953216374269005,\n \"acc_norm_stderr\": 0.03094445977853321\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.39657282741738065,\n\
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\ \"mc1_stderr\": 0.017124930942023518,\n \"mc2\": 0.5719069674430869,\n\
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\ \"mc2_stderr\": 0.015635759800240744\n }\n}\n```"
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repo_url: https://huggingface.co/Sao10K/BrainDerp2
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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_2023-10-04T07-46-51.716254.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_10_04T07_46_51.716254
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@@ -782,14 +646,25 @@ configs:
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- split: latest
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| 783 |
path:
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- '**/details_harness|truthfulqa:mc|0_2023-10-04T07-46-51.716254.parquet'
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- config_name: results
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data_files:
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- split: 2023_10_04T07_46_51.716254
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| 788 |
path:
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| 789 |
- results_2023-10-04T07-46-51.716254.parquet
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- split: latest
|
| 791 |
path:
|
| 792 |
-
- results_2023-10-
|
| 793 |
---
|
| 794 |
|
| 795 |
# Dataset Card for Evaluation run of Sao10K/BrainDerp2
|
|
@@ -806,9 +681,9 @@ configs:
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|
| 806 |
|
| 807 |
Dataset automatically created during the evaluation run of model [Sao10K/BrainDerp2](https://huggingface.co/Sao10K/BrainDerp2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 808 |
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| 809 |
-
The dataset is composed of
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| 810 |
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-
The dataset has been created from
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| 812 |
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| 813 |
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)).
|
| 814 |
|
|
@@ -816,385 +691,37 @@ To load the details from a run, you can for instance do the following:
|
|
| 816 |
```python
|
| 817 |
from datasets import load_dataset
|
| 818 |
data = load_dataset("open-llm-leaderboard/details_Sao10K__BrainDerp2",
|
| 819 |
-
"
|
| 820 |
split="train")
|
| 821 |
```
|
| 822 |
|
| 823 |
## Latest results
|
| 824 |
|
| 825 |
-
These are the [latest results from run 2023-10-
|
| 826 |
|
| 827 |
```python
|
| 828 |
{
|
| 829 |
"all": {
|
| 830 |
-
"
|
| 831 |
-
"
|
| 832 |
-
"
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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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-
"
|
| 849 |
-
"
|
| 850 |
-
},
|
| 851 |
-
"harness|hendrycksTest-abstract_algebra|5": {
|
| 852 |
-
"acc": 0.32,
|
| 853 |
-
"acc_stderr": 0.04688261722621504,
|
| 854 |
-
"acc_norm": 0.32,
|
| 855 |
-
"acc_norm_stderr": 0.04688261722621504
|
| 856 |
-
},
|
| 857 |
-
"harness|hendrycksTest-anatomy|5": {
|
| 858 |
-
"acc": 0.5111111111111111,
|
| 859 |
-
"acc_stderr": 0.04318275491977976,
|
| 860 |
-
"acc_norm": 0.5111111111111111,
|
| 861 |
-
"acc_norm_stderr": 0.04318275491977976
|
| 862 |
-
},
|
| 863 |
-
"harness|hendrycksTest-astronomy|5": {
|
| 864 |
-
"acc": 0.5789473684210527,
|
| 865 |
-
"acc_stderr": 0.04017901275981749,
|
| 866 |
-
"acc_norm": 0.5789473684210527,
|
| 867 |
-
"acc_norm_stderr": 0.04017901275981749
|
| 868 |
-
},
|
| 869 |
-
"harness|hendrycksTest-business_ethics|5": {
|
| 870 |
-
"acc": 0.57,
|
| 871 |
-
"acc_stderr": 0.049756985195624284,
|
| 872 |
-
"acc_norm": 0.57,
|
| 873 |
-
"acc_norm_stderr": 0.049756985195624284
|
| 874 |
-
},
|
| 875 |
-
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 876 |
-
"acc": 0.6339622641509434,
|
| 877 |
-
"acc_stderr": 0.029647813539365242,
|
| 878 |
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"acc_norm": 0.6339622641509434,
|
| 879 |
-
"acc_norm_stderr": 0.029647813539365242
|
| 880 |
-
},
|
| 881 |
-
"harness|hendrycksTest-college_biology|5": {
|
| 882 |
-
"acc": 0.625,
|
| 883 |
-
"acc_stderr": 0.04048439222695598,
|
| 884 |
-
"acc_norm": 0.625,
|
| 885 |
-
"acc_norm_stderr": 0.04048439222695598
|
| 886 |
-
},
|
| 887 |
-
"harness|hendrycksTest-college_chemistry|5": {
|
| 888 |
-
"acc": 0.42,
|
| 889 |
-
"acc_stderr": 0.04960449637488584,
|
| 890 |
-
"acc_norm": 0.42,
|
| 891 |
-
"acc_norm_stderr": 0.04960449637488584
|
| 892 |
-
},
|
| 893 |
-
"harness|hendrycksTest-college_computer_science|5": {
|
| 894 |
-
"acc": 0.52,
|
| 895 |
-
"acc_stderr": 0.050211673156867795,
|
| 896 |
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"acc_norm": 0.52,
|
| 897 |
-
"acc_norm_stderr": 0.050211673156867795
|
| 898 |
-
},
|
| 899 |
-
"harness|hendrycksTest-college_mathematics|5": {
|
| 900 |
-
"acc": 0.36,
|
| 901 |
-
"acc_stderr": 0.04824181513244218,
|
| 902 |
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"acc_norm": 0.36,
|
| 903 |
-
"acc_norm_stderr": 0.04824181513244218
|
| 904 |
-
},
|
| 905 |
-
"harness|hendrycksTest-college_medicine|5": {
|
| 906 |
-
"acc": 0.5838150289017341,
|
| 907 |
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"acc_stderr": 0.03758517775404948,
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| 908 |
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"acc_norm": 0.5838150289017341,
|
| 909 |
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"acc_norm_stderr": 0.03758517775404948
|
| 910 |
-
},
|
| 911 |
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"harness|hendrycksTest-college_physics|5": {
|
| 912 |
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"acc": 0.35294117647058826,
|
| 913 |
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"acc_stderr": 0.04755129616062946,
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| 914 |
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"acc_norm": 0.35294117647058826,
|
| 915 |
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"acc_norm_stderr": 0.04755129616062946
|
| 916 |
-
},
|
| 917 |
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"harness|hendrycksTest-computer_security|5": {
|
| 918 |
-
"acc": 0.68,
|
| 919 |
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"acc_stderr": 0.046882617226215055,
|
| 920 |
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"acc_norm": 0.68,
|
| 921 |
-
"acc_norm_stderr": 0.046882617226215055
|
| 922 |
-
},
|
| 923 |
-
"harness|hendrycksTest-conceptual_physics|5": {
|
| 924 |
-
"acc": 0.502127659574468,
|
| 925 |
-
"acc_stderr": 0.03268572658667492,
|
| 926 |
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|
| 927 |
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|
| 928 |
-
},
|
| 929 |
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"harness|hendrycksTest-econometrics|5": {
|
| 930 |
-
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|
| 931 |
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|
| 932 |
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|
| 933 |
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|
| 934 |
-
},
|
| 935 |
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"harness|hendrycksTest-electrical_engineering|5": {
|
| 936 |
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|
| 937 |
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| 939 |
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|
| 940 |
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},
|
| 941 |
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"harness|hendrycksTest-elementary_mathematics|5": {
|
| 942 |
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|
| 943 |
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| 945 |
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|
| 946 |
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},
|
| 947 |
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"harness|hendrycksTest-formal_logic|5": {
|
| 948 |
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|
| 949 |
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"acc_stderr": 0.0436031486007746,
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| 950 |
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| 951 |
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|
| 952 |
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},
|
| 953 |
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"harness|hendrycksTest-global_facts|5": {
|
| 954 |
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"acc": 0.36,
|
| 955 |
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|
| 956 |
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|
| 957 |
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|
| 958 |
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},
|
| 959 |
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|
| 960 |
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|
| 961 |
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| 963 |
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|
| 964 |
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|
| 965 |
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"harness|hendrycksTest-high_school_chemistry|5": {
|
| 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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},
|
| 971 |
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"harness|hendrycksTest-high_school_computer_science|5": {
|
| 972 |
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"acc": 0.55,
|
| 973 |
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"acc_stderr": 0.05,
|
| 974 |
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"acc_norm": 0.55,
|
| 975 |
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|
| 976 |
-
},
|
| 977 |
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"harness|hendrycksTest-high_school_european_history|5": {
|
| 978 |
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"acc": 0.696969696969697,
|
| 979 |
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| 980 |
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|
| 981 |
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|
| 982 |
-
},
|
| 983 |
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"harness|hendrycksTest-high_school_geography|5": {
|
| 984 |
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"acc": 0.7626262626262627,
|
| 985 |
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"acc_stderr": 0.030313710538198906,
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| 986 |
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| 987 |
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"acc_norm_stderr": 0.030313710538198906
|
| 988 |
-
},
|
| 989 |
-
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 990 |
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"acc": 0.8497409326424871,
|
| 991 |
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"acc_stderr": 0.025787723180723872,
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| 992 |
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|
| 993 |
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|
| 994 |
-
},
|
| 995 |
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"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 996 |
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"acc": 0.6358974358974359,
|
| 997 |
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|
| 998 |
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"acc_norm": 0.6358974358974359,
|
| 999 |
-
"acc_norm_stderr": 0.024396672985094767
|
| 1000 |
-
},
|
| 1001 |
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"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1002 |
-
"acc": 0.3296296296296296,
|
| 1003 |
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| 1004 |
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|
| 1005 |
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"acc_norm_stderr": 0.02866120111652459
|
| 1006 |
-
},
|
| 1007 |
-
"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1008 |
-
"acc": 0.5966386554621849,
|
| 1009 |
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| 1010 |
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|
| 1011 |
-
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|
| 1012 |
-
},
|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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|
| 1016 |
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|
| 1017 |
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|
| 1018 |
-
},
|
| 1019 |
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"harness|hendrycksTest-high_school_psychology|5": {
|
| 1020 |
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"acc": 0.7926605504587156,
|
| 1021 |
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|
| 1022 |
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|
| 1023 |
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|
| 1024 |
-
},
|
| 1025 |
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"harness|hendrycksTest-high_school_statistics|5": {
|
| 1026 |
-
"acc": 0.4074074074074074,
|
| 1027 |
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|
| 1028 |
-
"acc_norm": 0.4074074074074074,
|
| 1029 |
-
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|
| 1030 |
-
},
|
| 1031 |
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"harness|hendrycksTest-high_school_us_history|5": {
|
| 1032 |
-
"acc": 0.8382352941176471,
|
| 1033 |
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|
| 1034 |
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|
| 1035 |
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|
| 1036 |
-
},
|
| 1037 |
-
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1038 |
-
"acc": 0.7679324894514767,
|
| 1039 |
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| 1040 |
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|
| 1041 |
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| 1042 |
-
},
|
| 1043 |
-
"harness|hendrycksTest-human_aging|5": {
|
| 1044 |
-
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|
| 1045 |
-
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|
| 1046 |
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|
| 1047 |
-
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|
| 1048 |
-
},
|
| 1049 |
-
"harness|hendrycksTest-human_sexuality|5": {
|
| 1050 |
-
"acc": 0.6412213740458015,
|
| 1051 |
-
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|
| 1052 |
-
"acc_norm": 0.6412213740458015,
|
| 1053 |
-
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|
| 1054 |
-
},
|
| 1055 |
-
"harness|hendrycksTest-international_law|5": {
|
| 1056 |
-
"acc": 0.7024793388429752,
|
| 1057 |
-
"acc_stderr": 0.04173349148083499,
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| 1058 |
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"acc_norm": 0.7024793388429752,
|
| 1059 |
-
"acc_norm_stderr": 0.04173349148083499
|
| 1060 |
-
},
|
| 1061 |
-
"harness|hendrycksTest-jurisprudence|5": {
|
| 1062 |
-
"acc": 0.7777777777777778,
|
| 1063 |
-
"acc_stderr": 0.040191074725573483,
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| 1064 |
-
"acc_norm": 0.7777777777777778,
|
| 1065 |
-
"acc_norm_stderr": 0.040191074725573483
|
| 1066 |
-
},
|
| 1067 |
-
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1068 |
-
"acc": 0.6809815950920245,
|
| 1069 |
-
"acc_stderr": 0.03661997551073836,
|
| 1070 |
-
"acc_norm": 0.6809815950920245,
|
| 1071 |
-
"acc_norm_stderr": 0.03661997551073836
|
| 1072 |
-
},
|
| 1073 |
-
"harness|hendrycksTest-machine_learning|5": {
|
| 1074 |
-
"acc": 0.41964285714285715,
|
| 1075 |
-
"acc_stderr": 0.04684099321077106,
|
| 1076 |
-
"acc_norm": 0.41964285714285715,
|
| 1077 |
-
"acc_norm_stderr": 0.04684099321077106
|
| 1078 |
-
},
|
| 1079 |
-
"harness|hendrycksTest-management|5": {
|
| 1080 |
-
"acc": 0.7087378640776699,
|
| 1081 |
-
"acc_stderr": 0.044986763205729224,
|
| 1082 |
-
"acc_norm": 0.7087378640776699,
|
| 1083 |
-
"acc_norm_stderr": 0.044986763205729224
|
| 1084 |
-
},
|
| 1085 |
-
"harness|hendrycksTest-marketing|5": {
|
| 1086 |
-
"acc": 0.8162393162393162,
|
| 1087 |
-
"acc_stderr": 0.02537213967172293,
|
| 1088 |
-
"acc_norm": 0.8162393162393162,
|
| 1089 |
-
"acc_norm_stderr": 0.02537213967172293
|
| 1090 |
-
},
|
| 1091 |
-
"harness|hendrycksTest-medical_genetics|5": {
|
| 1092 |
-
"acc": 0.6,
|
| 1093 |
-
"acc_stderr": 0.049236596391733084,
|
| 1094 |
-
"acc_norm": 0.6,
|
| 1095 |
-
"acc_norm_stderr": 0.049236596391733084
|
| 1096 |
-
},
|
| 1097 |
-
"harness|hendrycksTest-miscellaneous|5": {
|
| 1098 |
-
"acc": 0.7790549169859514,
|
| 1099 |
-
"acc_stderr": 0.014836205167333564,
|
| 1100 |
-
"acc_norm": 0.7790549169859514,
|
| 1101 |
-
"acc_norm_stderr": 0.014836205167333564
|
| 1102 |
-
},
|
| 1103 |
-
"harness|hendrycksTest-moral_disputes|5": {
|
| 1104 |
-
"acc": 0.6589595375722543,
|
| 1105 |
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|
| 1106 |
-
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| 1107 |
-
"acc_norm_stderr": 0.025522474632121615
|
| 1108 |
-
},
|
| 1109 |
-
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1110 |
-
"acc": 0.43798882681564244,
|
| 1111 |
-
"acc_stderr": 0.016593394227564846,
|
| 1112 |
-
"acc_norm": 0.43798882681564244,
|
| 1113 |
-
"acc_norm_stderr": 0.016593394227564846
|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.6633986928104575,
|
| 1117 |
-
"acc_stderr": 0.02705797462449438,
|
| 1118 |
-
"acc_norm": 0.6633986928104575,
|
| 1119 |
-
"acc_norm_stderr": 0.02705797462449438
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.6559485530546624,
|
| 1123 |
-
"acc_stderr": 0.026981478043648043,
|
| 1124 |
-
"acc_norm": 0.6559485530546624,
|
| 1125 |
-
"acc_norm_stderr": 0.026981478043648043
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.6790123456790124,
|
| 1129 |
-
"acc_stderr": 0.025976566010862744,
|
| 1130 |
-
"acc_norm": 0.6790123456790124,
|
| 1131 |
-
"acc_norm_stderr": 0.025976566010862744
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.46808510638297873,
|
| 1135 |
-
"acc_stderr": 0.029766675075873866,
|
| 1136 |
-
"acc_norm": 0.46808510638297873,
|
| 1137 |
-
"acc_norm_stderr": 0.029766675075873866
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.4452411994784876,
|
| 1141 |
-
"acc_stderr": 0.012693421303973294,
|
| 1142 |
-
"acc_norm": 0.4452411994784876,
|
| 1143 |
-
"acc_norm_stderr": 0.012693421303973294
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.5588235294117647,
|
| 1147 |
-
"acc_stderr": 0.03016191193076711,
|
| 1148 |
-
"acc_norm": 0.5588235294117647,
|
| 1149 |
-
"acc_norm_stderr": 0.03016191193076711
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.5947712418300654,
|
| 1153 |
-
"acc_stderr": 0.019861155193829156,
|
| 1154 |
-
"acc_norm": 0.5947712418300654,
|
| 1155 |
-
"acc_norm_stderr": 0.019861155193829156
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.6818181818181818,
|
| 1159 |
-
"acc_stderr": 0.04461272175910508,
|
| 1160 |
-
"acc_norm": 0.6818181818181818,
|
| 1161 |
-
"acc_norm_stderr": 0.04461272175910508
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.6612244897959184,
|
| 1165 |
-
"acc_stderr": 0.030299506562154188,
|
| 1166 |
-
"acc_norm": 0.6612244897959184,
|
| 1167 |
-
"acc_norm_stderr": 0.030299506562154188
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.7611940298507462,
|
| 1171 |
-
"acc_stderr": 0.03014777593540922,
|
| 1172 |
-
"acc_norm": 0.7611940298507462,
|
| 1173 |
-
"acc_norm_stderr": 0.03014777593540922
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.82,
|
| 1177 |
-
"acc_stderr": 0.038612291966536934,
|
| 1178 |
-
"acc_norm": 0.82,
|
| 1179 |
-
"acc_norm_stderr": 0.038612291966536934
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.5060240963855421,
|
| 1183 |
-
"acc_stderr": 0.03892212195333045,
|
| 1184 |
-
"acc_norm": 0.5060240963855421,
|
| 1185 |
-
"acc_norm_stderr": 0.03892212195333045
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.7953216374269005,
|
| 1189 |
-
"acc_stderr": 0.03094445977853321,
|
| 1190 |
-
"acc_norm": 0.7953216374269005,
|
| 1191 |
-
"acc_norm_stderr": 0.03094445977853321
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.39657282741738065,
|
| 1195 |
-
"mc1_stderr": 0.017124930942023518,
|
| 1196 |
-
"mc2": 0.5719069674430869,
|
| 1197 |
-
"mc2_stderr": 0.015635759800240744
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [Sao10K/BrainDerp2](https://huggingface.co/Sao10K/BrainDerp2) on the [Open LLM\
|
| 5 |
\ 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_Sao10K__BrainDerp2\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-25T19:44:45.310953](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__BrainDerp2/blob/main/results_2023-10-25T19-44-45.310953.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\": 0.02139261744966443,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0014817531449682906,\n \"f1\": 0.14337038590604004,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.002432995569296514,\n \"acc\": 0.42474686941447715,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.009953548160337068\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.02139261744966443,\n \"em_stderr\": 0.0014817531449682906,\n\
|
| 24 |
+
\ \"f1\": 0.14337038590604004,\n \"f1_stderr\": 0.002432995569296514\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.09021986353297953,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.007891537108449961\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.7592738752959748,\n \"acc_stderr\": 0.012015559212224174\n\
|
| 28 |
+
\ }\n}\n```"
|
|
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|
| 29 |
repo_url: https://huggingface.co/Sao10K/BrainDerp2
|
| 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_2023-10-04T07-46-51.716254.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_25T19_44_45.310953
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-25T19-44-45.310953.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-25T19-44-45.310953.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_25T19_44_45.310953
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-25T19-44-45.310953.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-25T19-44-45.310953.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_10_04T07_46_51.716254
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-10-04T07-46-51.716254.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_25T19_44_45.310953
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-25T19-44-45.310953.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-25T19-44-45.310953.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_10_04T07_46_51.716254
|
| 660 |
path:
|
| 661 |
- results_2023-10-04T07-46-51.716254.parquet
|
| 662 |
+
- split: 2023_10_25T19_44_45.310953
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-25T19-44-45.310953.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-25T19-44-45.310953.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of Sao10K/BrainDerp2
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [Sao10K/BrainDerp2](https://huggingface.co/Sao10K/BrainDerp2) 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_Sao10K__BrainDerp2",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-25T19:44:45.310953](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__BrainDerp2/blob/main/results_2023-10-25T19-44-45.310953.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": 0.02139261744966443,
|
| 706 |
+
"em_stderr": 0.0014817531449682906,
|
| 707 |
+
"f1": 0.14337038590604004,
|
| 708 |
+
"f1_stderr": 0.002432995569296514,
|
| 709 |
+
"acc": 0.42474686941447715,
|
| 710 |
+
"acc_stderr": 0.009953548160337068
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.02139261744966443,
|
| 714 |
+
"em_stderr": 0.0014817531449682906,
|
| 715 |
+
"f1": 0.14337038590604004,
|
| 716 |
+
"f1_stderr": 0.002432995569296514
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.09021986353297953,
|
| 720 |
+
"acc_stderr": 0.007891537108449961
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.7592738752959748,
|
| 724 |
+
"acc_stderr": 0.012015559212224174
|
|
|
|
|
|
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|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|