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1
+ ---
2
+ pretty_name: Evaluation run of aqweteddy/mistral_tv-neural-marconroni
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [aqweteddy/mistral_tv-neural-marconroni](https://huggingface.co/aqweteddy/mistral_tv-neural-marconroni)\
5
+ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
6
+ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
7
+ \ evaluated task.\n\nThe dataset has been created from 1 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\
11
+ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
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_aqweteddy__mistral_tv-neural-marconroni\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2023-12-29T21:06:58.547736](https://huggingface.co/datasets/open-llm-leaderboard/details_aqweteddy__mistral_tv-neural-marconroni/blob/main/results_2023-12-29T21-06-58.547736.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 \"acc\": 0.653997201380612,\n\
20
+ \ \"acc_stderr\": 0.031948482529961096,\n \"acc_norm\": 0.6549938668135185,\n\
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+ \ \"acc_norm_stderr\": 0.032596331692297566,\n \"mc1\": 0.4418604651162791,\n\
22
+ \ \"mc1_stderr\": 0.017384767478986218,\n \"mc2\": 0.6002963889764419,\n\
23
+ \ \"mc2_stderr\": 0.015327998641933535\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.6604095563139932,\n \"acc_stderr\": 0.013839039762820167,\n\
25
+ \ \"acc_norm\": 0.6919795221843004,\n \"acc_norm_stderr\": 0.013491429517292038\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6724756024696276,\n\
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+ \ \"acc_stderr\": 0.004683511716552242,\n \"acc_norm\": 0.8625771758613822,\n\
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+ \ \"acc_norm_stderr\": 0.003435895386692258\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
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+ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \
30
+ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \
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+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\
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+ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\
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+ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\
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+ : {\n \"acc\": 0.7236842105263158,\n \"acc_stderr\": 0.03639057569952928,\n\
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+ \ \"acc_norm\": 0.7236842105263158,\n \"acc_norm_stderr\": 0.03639057569952928\n\
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+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\
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+ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \
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+ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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+ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\
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+ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\
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+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7708333333333334,\n\
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+ \ \"acc_stderr\": 0.03514697467862388,\n \"acc_norm\": 0.7708333333333334,\n\
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+ \ \"acc_norm_stderr\": 0.03514697467862388\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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+ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \
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+ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \
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+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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+ : 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n\
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+ \ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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+ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \
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+ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \
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+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6473988439306358,\n\
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+ \ \"acc_stderr\": 0.03643037168958548,\n \"acc_norm\": 0.6473988439306358,\n\
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+ \ \"acc_norm_stderr\": 0.03643037168958548\n },\n \"harness|hendrycksTest-college_physics|5\"\
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+ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726366,\n\
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+ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726366\n\
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+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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+ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\
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+ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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+ : {\n \"acc\": 0.5829787234042553,\n \"acc_stderr\": 0.03223276266711712,\n\
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+ \ \"acc_norm\": 0.5829787234042553,\n \"acc_norm_stderr\": 0.03223276266711712\n\
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+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\
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+ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\
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+ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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+ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370333,\n\
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+ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370333\n\
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+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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+ : 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778394,\n \"\
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+ acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778394\n\
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+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5079365079365079,\n\
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+ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.5079365079365079,\n\
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+ \ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|5\"\
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+ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
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+ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
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+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7903225806451613,\n\
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+ \ \"acc_stderr\": 0.023157879349083522,\n \"acc_norm\": 0.7903225806451613,\n\
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+ \ \"acc_norm_stderr\": 0.023157879349083522\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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+ : {\n \"acc\": 0.5221674876847291,\n \"acc_stderr\": 0.03514528562175008,\n\
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+ \ \"acc_norm\": 0.5221674876847291,\n \"acc_norm_stderr\": 0.03514528562175008\n\
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+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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+ \ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\
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+ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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+ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.032568666616811015,\n\
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+ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.032568666616811015\n\
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+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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+ : 0.797979797979798,\n \"acc_stderr\": 0.028606204289229872,\n \"\
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+ acc_norm\": 0.797979797979798,\n \"acc_norm_stderr\": 0.028606204289229872\n\
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+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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+ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033456,\n\
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+ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033456\n\
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+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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+ \ \"acc\": 0.6871794871794872,\n \"acc_stderr\": 0.02350757902064536,\n \
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+ \ \"acc_norm\": 0.6871794871794872,\n \"acc_norm_stderr\": 0.02350757902064536\n\
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+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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+ acc\": 0.35185185185185186,\n \"acc_stderr\": 0.02911661760608301,\n \
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+ \ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.02911661760608301\n\
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+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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+ \ \"acc\": 0.6974789915966386,\n \"acc_stderr\": 0.02983796238829194,\n \
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+ \ \"acc_norm\": 0.6974789915966386,\n \"acc_norm_stderr\": 0.02983796238829194\n\
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+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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+ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\
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+ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\
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+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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+ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374308,\n \"\
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+ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374308\n\
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+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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+ : 0.47685185185185186,\n \"acc_stderr\": 0.03406315360711507,\n \"\
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+ acc_norm\": 0.47685185185185186,\n \"acc_norm_stderr\": 0.03406315360711507\n\
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+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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+ : 0.8431372549019608,\n \"acc_stderr\": 0.025524722324553353,\n \"\
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+ acc_norm\": 0.8431372549019608,\n \"acc_norm_stderr\": 0.025524722324553353\n\
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+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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+ acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944856,\n \
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+ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944856\n\
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+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\
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+ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\
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+ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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+ : {\n \"acc\": 0.7862595419847328,\n \"acc_stderr\": 0.0359546161177469,\n\
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+ \ \"acc_norm\": 0.7862595419847328,\n \"acc_norm_stderr\": 0.0359546161177469\n\
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+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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+ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\
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+ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\
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+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\
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+ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\
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+ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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+ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\
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+ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\
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+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5178571428571429,\n\
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+ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.5178571428571429,\n\
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+ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\
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+ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.03916667762822584,\n\
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+ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.03916667762822584\n\
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+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\
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+ \ \"acc_norm_stderr\": 0.021262719400406957\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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+ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \
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+ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \
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+ \ \"acc_norm_stderr\": 0.013387895731543604\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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+ : {\n \"acc\": 0.7254335260115607,\n \"acc_stderr\": 0.024027745155265023,\n\
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+ \ \"acc_norm\": 0.7254335260115607,\n \"acc_norm_stderr\": 0.024027745155265023\n\
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+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4100558659217877,\n\
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+ \ \"acc_norm_stderr\": 0.016449708209026078\n },\n \"harness|hendrycksTest-nutrition|5\"\
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+ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292452,\n\
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+ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292452\n\
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+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7041800643086816,\n\
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+ \ \"acc_stderr\": 0.025922371788818763,\n \"acc_norm\": 0.7041800643086816,\n\
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+ \ \"acc_norm_stderr\": 0.025922371788818763\n },\n \"harness|hendrycksTest-prehistory|5\"\
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+ : {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.025006469755799208,\n\
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+ \ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.025006469755799208\n\
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+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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+ acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \
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+ \ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\
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+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4661016949152542,\n\
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+ \ \"acc_stderr\": 0.012740853872949834,\n \"acc_norm\": 0.4661016949152542,\n\
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+ \ \"acc_norm_stderr\": 0.012740853872949834\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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+ : {\n \"acc\": 0.6875,\n \"acc_stderr\": 0.02815637344037142,\n \
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+ \ \"acc_norm\": 0.6875,\n \"acc_norm_stderr\": 0.02815637344037142\n\
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+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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+ acc\": 0.6862745098039216,\n \"acc_stderr\": 0.01877168389352818,\n \
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+ \ \"acc_norm\": 0.6862745098039216,\n \"acc_norm_stderr\": 0.01877168389352818\n\
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+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\
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+ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\
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+ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\
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+ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\
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+ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\
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+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\
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+ \ \"acc_stderr\": 0.02553843336857833,\n \"acc_norm\": 0.845771144278607,\n\
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+ \ \"acc_norm_stderr\": 0.02553843336857833\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
171
+ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263686,\n \
172
+ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263686\n \
173
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\
174
+ \ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\
175
+ \ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\
176
+ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\
177
+ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\
178
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4418604651162791,\n\
179
+ \ \"mc1_stderr\": 0.017384767478986218,\n \"mc2\": 0.6002963889764419,\n\
180
+ \ \"mc2_stderr\": 0.015327998641933535\n },\n \"harness|winogrande|5\"\
181
+ : {\n \"acc\": 0.8089976322020521,\n \"acc_stderr\": 0.011047808761510425\n\
182
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6618650492797574,\n \
183
+ \ \"acc_stderr\": 0.013030829145172217\n }\n}\n```"
184
+ repo_url: https://huggingface.co/aqweteddy/mistral_tv-neural-marconroni
185
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
186
+ point_of_contact: [email protected]
187
+ configs:
188
+ - config_name: harness_arc_challenge_25
189
+ data_files:
190
+ - split: 2023_12_29T21_06_58.547736
191
+ path:
192
+ - '**/details_harness|arc:challenge|25_2023-12-29T21-06-58.547736.parquet'
193
+ - split: latest
194
+ path:
195
+ - '**/details_harness|arc:challenge|25_2023-12-29T21-06-58.547736.parquet'
196
+ - config_name: harness_gsm8k_5
197
+ data_files:
198
+ - split: 2023_12_29T21_06_58.547736
199
+ path:
200
+ - '**/details_harness|gsm8k|5_2023-12-29T21-06-58.547736.parquet'
201
+ - split: latest
202
+ path:
203
+ - '**/details_harness|gsm8k|5_2023-12-29T21-06-58.547736.parquet'
204
+ - config_name: harness_hellaswag_10
205
+ data_files:
206
+ - split: 2023_12_29T21_06_58.547736
207
+ path:
208
+ - '**/details_harness|hellaswag|10_2023-12-29T21-06-58.547736.parquet'
209
+ - split: latest
210
+ path:
211
+ - '**/details_harness|hellaswag|10_2023-12-29T21-06-58.547736.parquet'
212
+ - config_name: harness_hendrycksTest_5
213
+ data_files:
214
+ - split: 2023_12_29T21_06_58.547736
215
+ path:
216
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T21-06-58.547736.parquet'
217
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T21-06-58.547736.parquet'
218
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T21-06-58.547736.parquet'
219
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T21-06-58.547736.parquet'
220
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T21-06-58.547736.parquet'
221
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T21-06-58.547736.parquet'
222
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T21-06-58.547736.parquet'
223
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T21-06-58.547736.parquet'
224
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T21-06-58.547736.parquet'
225
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T21-06-58.547736.parquet'
226
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T21-06-58.547736.parquet'
227
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T21-06-58.547736.parquet'
228
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T21-06-58.547736.parquet'
229
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T21-06-58.547736.parquet'
230
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T21-06-58.547736.parquet'
231
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T21-06-58.547736.parquet'
232
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T21-06-58.547736.parquet'
233
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T21-06-58.547736.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T21-06-58.547736.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T21-06-58.547736.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T21-06-58.547736.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T21-06-58.547736.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T21-06-58.547736.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T21-06-58.547736.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T21-06-58.547736.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T21-06-58.547736.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T21-06-58.547736.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T21-06-58.547736.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T21-06-58.547736.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T21-06-58.547736.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T21-06-58.547736.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T21-06-58.547736.parquet'
248
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T21-06-58.547736.parquet'
249
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T21-06-58.547736.parquet'
250
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T21-06-58.547736.parquet'
251
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T21-06-58.547736.parquet'
252
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T21-06-58.547736.parquet'
253
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T21-06-58.547736.parquet'
254
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T21-06-58.547736.parquet'
255
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T21-06-58.547736.parquet'
256
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T21-06-58.547736.parquet'
257
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T21-06-58.547736.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T21-06-58.547736.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T21-06-58.547736.parquet'
260
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T21-06-58.547736.parquet'
261
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T21-06-58.547736.parquet'
262
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T21-06-58.547736.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T21-06-58.547736.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T21-06-58.547736.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T21-06-58.547736.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T21-06-58.547736.parquet'
267
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T21-06-58.547736.parquet'
268
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T21-06-58.547736.parquet'
269
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T21-06-58.547736.parquet'
270
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T21-06-58.547736.parquet'
271
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T21-06-58.547736.parquet'
272
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T21-06-58.547736.parquet'
273
+ - split: latest
274
+ path:
275
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T21-06-58.547736.parquet'
276
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T21-06-58.547736.parquet'
277
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T21-06-58.547736.parquet'
278
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T21-06-58.547736.parquet'
279
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T21-06-58.547736.parquet'
280
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T21-06-58.547736.parquet'
281
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T21-06-58.547736.parquet'
282
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T21-06-58.547736.parquet'
283
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T21-06-58.547736.parquet'
284
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T21-06-58.547736.parquet'
285
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T21-06-58.547736.parquet'
286
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T21-06-58.547736.parquet'
287
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T21-06-58.547736.parquet'
288
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T21-06-58.547736.parquet'
289
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T21-06-58.547736.parquet'
290
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T21-06-58.547736.parquet'
291
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T21-06-58.547736.parquet'
292
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T21-06-58.547736.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T21-06-58.547736.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T21-06-58.547736.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T21-06-58.547736.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T21-06-58.547736.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T21-06-58.547736.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T21-06-58.547736.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T21-06-58.547736.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T21-06-58.547736.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T21-06-58.547736.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T21-06-58.547736.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T21-06-58.547736.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T21-06-58.547736.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T21-06-58.547736.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T21-06-58.547736.parquet'
307
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T21-06-58.547736.parquet'
308
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T21-06-58.547736.parquet'
309
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T21-06-58.547736.parquet'
310
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T21-06-58.547736.parquet'
311
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T21-06-58.547736.parquet'
312
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T21-06-58.547736.parquet'
313
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T21-06-58.547736.parquet'
314
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T21-06-58.547736.parquet'
315
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T21-06-58.547736.parquet'
316
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T21-06-58.547736.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T21-06-58.547736.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T21-06-58.547736.parquet'
319
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T21-06-58.547736.parquet'
320
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T21-06-58.547736.parquet'
321
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T21-06-58.547736.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T21-06-58.547736.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T21-06-58.547736.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T21-06-58.547736.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T21-06-58.547736.parquet'
326
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T21-06-58.547736.parquet'
327
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T21-06-58.547736.parquet'
328
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T21-06-58.547736.parquet'
329
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T21-06-58.547736.parquet'
330
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T21-06-58.547736.parquet'
331
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T21-06-58.547736.parquet'
332
+ - config_name: harness_hendrycksTest_abstract_algebra_5
333
+ data_files:
334
+ - split: 2023_12_29T21_06_58.547736
335
+ path:
336
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T21-06-58.547736.parquet'
337
+ - split: latest
338
+ path:
339
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T21-06-58.547736.parquet'
340
+ - config_name: harness_hendrycksTest_anatomy_5
341
+ data_files:
342
+ - split: 2023_12_29T21_06_58.547736
343
+ path:
344
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T21-06-58.547736.parquet'
345
+ - split: latest
346
+ path:
347
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T21-06-58.547736.parquet'
348
+ - config_name: harness_hendrycksTest_astronomy_5
349
+ data_files:
350
+ - split: 2023_12_29T21_06_58.547736
351
+ path:
352
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T21-06-58.547736.parquet'
353
+ - split: latest
354
+ path:
355
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T21-06-58.547736.parquet'
356
+ - config_name: harness_hendrycksTest_business_ethics_5
357
+ data_files:
358
+ - split: 2023_12_29T21_06_58.547736
359
+ path:
360
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T21-06-58.547736.parquet'
361
+ - split: latest
362
+ path:
363
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T21-06-58.547736.parquet'
364
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
365
+ data_files:
366
+ - split: 2023_12_29T21_06_58.547736
367
+ path:
368
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T21-06-58.547736.parquet'
369
+ - split: latest
370
+ path:
371
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T21-06-58.547736.parquet'
372
+ - config_name: harness_hendrycksTest_college_biology_5
373
+ data_files:
374
+ - split: 2023_12_29T21_06_58.547736
375
+ path:
376
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T21-06-58.547736.parquet'
377
+ - split: latest
378
+ path:
379
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T21-06-58.547736.parquet'
380
+ - config_name: harness_hendrycksTest_college_chemistry_5
381
+ data_files:
382
+ - split: 2023_12_29T21_06_58.547736
383
+ path:
384
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T21-06-58.547736.parquet'
385
+ - split: latest
386
+ path:
387
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T21-06-58.547736.parquet'
388
+ - config_name: harness_hendrycksTest_college_computer_science_5
389
+ data_files:
390
+ - split: 2023_12_29T21_06_58.547736
391
+ path:
392
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T21-06-58.547736.parquet'
393
+ - split: latest
394
+ path:
395
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T21-06-58.547736.parquet'
396
+ - config_name: harness_hendrycksTest_college_mathematics_5
397
+ data_files:
398
+ - split: 2023_12_29T21_06_58.547736
399
+ path:
400
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T21-06-58.547736.parquet'
401
+ - split: latest
402
+ path:
403
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T21-06-58.547736.parquet'
404
+ - config_name: harness_hendrycksTest_college_medicine_5
405
+ data_files:
406
+ - split: 2023_12_29T21_06_58.547736
407
+ path:
408
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T21-06-58.547736.parquet'
409
+ - split: latest
410
+ path:
411
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T21-06-58.547736.parquet'
412
+ - config_name: harness_hendrycksTest_college_physics_5
413
+ data_files:
414
+ - split: 2023_12_29T21_06_58.547736
415
+ path:
416
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T21-06-58.547736.parquet'
417
+ - split: latest
418
+ path:
419
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T21-06-58.547736.parquet'
420
+ - config_name: harness_hendrycksTest_computer_security_5
421
+ data_files:
422
+ - split: 2023_12_29T21_06_58.547736
423
+ path:
424
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T21-06-58.547736.parquet'
425
+ - split: latest
426
+ path:
427
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T21-06-58.547736.parquet'
428
+ - config_name: harness_hendrycksTest_conceptual_physics_5
429
+ data_files:
430
+ - split: 2023_12_29T21_06_58.547736
431
+ path:
432
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T21-06-58.547736.parquet'
433
+ - split: latest
434
+ path:
435
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T21-06-58.547736.parquet'
436
+ - config_name: harness_hendrycksTest_econometrics_5
437
+ data_files:
438
+ - split: 2023_12_29T21_06_58.547736
439
+ path:
440
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T21-06-58.547736.parquet'
441
+ - split: latest
442
+ path:
443
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T21-06-58.547736.parquet'
444
+ - config_name: harness_hendrycksTest_electrical_engineering_5
445
+ data_files:
446
+ - split: 2023_12_29T21_06_58.547736
447
+ path:
448
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T21-06-58.547736.parquet'
449
+ - split: latest
450
+ path:
451
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T21-06-58.547736.parquet'
452
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
453
+ data_files:
454
+ - split: 2023_12_29T21_06_58.547736
455
+ path:
456
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T21-06-58.547736.parquet'
457
+ - split: latest
458
+ path:
459
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T21-06-58.547736.parquet'
460
+ - config_name: harness_hendrycksTest_formal_logic_5
461
+ data_files:
462
+ - split: 2023_12_29T21_06_58.547736
463
+ path:
464
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T21-06-58.547736.parquet'
465
+ - split: latest
466
+ path:
467
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T21-06-58.547736.parquet'
468
+ - config_name: harness_hendrycksTest_global_facts_5
469
+ data_files:
470
+ - split: 2023_12_29T21_06_58.547736
471
+ path:
472
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T21-06-58.547736.parquet'
473
+ - split: latest
474
+ path:
475
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T21-06-58.547736.parquet'
476
+ - config_name: harness_hendrycksTest_high_school_biology_5
477
+ data_files:
478
+ - split: 2023_12_29T21_06_58.547736
479
+ path:
480
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T21-06-58.547736.parquet'
481
+ - split: latest
482
+ path:
483
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T21-06-58.547736.parquet'
484
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
485
+ data_files:
486
+ - split: 2023_12_29T21_06_58.547736
487
+ path:
488
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T21-06-58.547736.parquet'
489
+ - split: latest
490
+ path:
491
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T21-06-58.547736.parquet'
492
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
493
+ data_files:
494
+ - split: 2023_12_29T21_06_58.547736
495
+ path:
496
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T21-06-58.547736.parquet'
497
+ - split: latest
498
+ path:
499
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T21-06-58.547736.parquet'
500
+ - config_name: harness_hendrycksTest_high_school_european_history_5
501
+ data_files:
502
+ - split: 2023_12_29T21_06_58.547736
503
+ path:
504
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T21-06-58.547736.parquet'
505
+ - split: latest
506
+ path:
507
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T21-06-58.547736.parquet'
508
+ - config_name: harness_hendrycksTest_high_school_geography_5
509
+ data_files:
510
+ - split: 2023_12_29T21_06_58.547736
511
+ path:
512
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T21-06-58.547736.parquet'
513
+ - split: latest
514
+ path:
515
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T21-06-58.547736.parquet'
516
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
517
+ data_files:
518
+ - split: 2023_12_29T21_06_58.547736
519
+ path:
520
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T21-06-58.547736.parquet'
521
+ - split: latest
522
+ path:
523
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T21-06-58.547736.parquet'
524
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
525
+ data_files:
526
+ - split: 2023_12_29T21_06_58.547736
527
+ path:
528
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T21-06-58.547736.parquet'
529
+ - split: latest
530
+ path:
531
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T21-06-58.547736.parquet'
532
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
533
+ data_files:
534
+ - split: 2023_12_29T21_06_58.547736
535
+ path:
536
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T21-06-58.547736.parquet'
537
+ - split: latest
538
+ path:
539
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T21-06-58.547736.parquet'
540
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
541
+ data_files:
542
+ - split: 2023_12_29T21_06_58.547736
543
+ path:
544
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T21-06-58.547736.parquet'
545
+ - split: latest
546
+ path:
547
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T21-06-58.547736.parquet'
548
+ - config_name: harness_hendrycksTest_high_school_physics_5
549
+ data_files:
550
+ - split: 2023_12_29T21_06_58.547736
551
+ path:
552
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T21-06-58.547736.parquet'
553
+ - split: latest
554
+ path:
555
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T21-06-58.547736.parquet'
556
+ - config_name: harness_hendrycksTest_high_school_psychology_5
557
+ data_files:
558
+ - split: 2023_12_29T21_06_58.547736
559
+ path:
560
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T21-06-58.547736.parquet'
561
+ - split: latest
562
+ path:
563
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T21-06-58.547736.parquet'
564
+ - config_name: harness_hendrycksTest_high_school_statistics_5
565
+ data_files:
566
+ - split: 2023_12_29T21_06_58.547736
567
+ path:
568
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T21-06-58.547736.parquet'
569
+ - split: latest
570
+ path:
571
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T21-06-58.547736.parquet'
572
+ - config_name: harness_hendrycksTest_high_school_us_history_5
573
+ data_files:
574
+ - split: 2023_12_29T21_06_58.547736
575
+ path:
576
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T21-06-58.547736.parquet'
577
+ - split: latest
578
+ path:
579
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T21-06-58.547736.parquet'
580
+ - config_name: harness_hendrycksTest_high_school_world_history_5
581
+ data_files:
582
+ - split: 2023_12_29T21_06_58.547736
583
+ path:
584
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T21-06-58.547736.parquet'
585
+ - split: latest
586
+ path:
587
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T21-06-58.547736.parquet'
588
+ - config_name: harness_hendrycksTest_human_aging_5
589
+ data_files:
590
+ - split: 2023_12_29T21_06_58.547736
591
+ path:
592
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T21-06-58.547736.parquet'
593
+ - split: latest
594
+ path:
595
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T21-06-58.547736.parquet'
596
+ - config_name: harness_hendrycksTest_human_sexuality_5
597
+ data_files:
598
+ - split: 2023_12_29T21_06_58.547736
599
+ path:
600
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T21-06-58.547736.parquet'
601
+ - split: latest
602
+ path:
603
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T21-06-58.547736.parquet'
604
+ - config_name: harness_hendrycksTest_international_law_5
605
+ data_files:
606
+ - split: 2023_12_29T21_06_58.547736
607
+ path:
608
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T21-06-58.547736.parquet'
609
+ - split: latest
610
+ path:
611
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T21-06-58.547736.parquet'
612
+ - config_name: harness_hendrycksTest_jurisprudence_5
613
+ data_files:
614
+ - split: 2023_12_29T21_06_58.547736
615
+ path:
616
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T21-06-58.547736.parquet'
617
+ - split: latest
618
+ path:
619
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T21-06-58.547736.parquet'
620
+ - config_name: harness_hendrycksTest_logical_fallacies_5
621
+ data_files:
622
+ - split: 2023_12_29T21_06_58.547736
623
+ path:
624
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T21-06-58.547736.parquet'
625
+ - split: latest
626
+ path:
627
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T21-06-58.547736.parquet'
628
+ - config_name: harness_hendrycksTest_machine_learning_5
629
+ data_files:
630
+ - split: 2023_12_29T21_06_58.547736
631
+ path:
632
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T21-06-58.547736.parquet'
633
+ - split: latest
634
+ path:
635
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T21-06-58.547736.parquet'
636
+ - config_name: harness_hendrycksTest_management_5
637
+ data_files:
638
+ - split: 2023_12_29T21_06_58.547736
639
+ path:
640
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T21-06-58.547736.parquet'
641
+ - split: latest
642
+ path:
643
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T21-06-58.547736.parquet'
644
+ - config_name: harness_hendrycksTest_marketing_5
645
+ data_files:
646
+ - split: 2023_12_29T21_06_58.547736
647
+ path:
648
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T21-06-58.547736.parquet'
649
+ - split: latest
650
+ path:
651
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T21-06-58.547736.parquet'
652
+ - config_name: harness_hendrycksTest_medical_genetics_5
653
+ data_files:
654
+ - split: 2023_12_29T21_06_58.547736
655
+ path:
656
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T21-06-58.547736.parquet'
657
+ - split: latest
658
+ path:
659
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T21-06-58.547736.parquet'
660
+ - config_name: harness_hendrycksTest_miscellaneous_5
661
+ data_files:
662
+ - split: 2023_12_29T21_06_58.547736
663
+ path:
664
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T21-06-58.547736.parquet'
665
+ - split: latest
666
+ path:
667
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T21-06-58.547736.parquet'
668
+ - config_name: harness_hendrycksTest_moral_disputes_5
669
+ data_files:
670
+ - split: 2023_12_29T21_06_58.547736
671
+ path:
672
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T21-06-58.547736.parquet'
673
+ - split: latest
674
+ path:
675
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T21-06-58.547736.parquet'
676
+ - config_name: harness_hendrycksTest_moral_scenarios_5
677
+ data_files:
678
+ - split: 2023_12_29T21_06_58.547736
679
+ path:
680
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T21-06-58.547736.parquet'
681
+ - split: latest
682
+ path:
683
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T21-06-58.547736.parquet'
684
+ - config_name: harness_hendrycksTest_nutrition_5
685
+ data_files:
686
+ - split: 2023_12_29T21_06_58.547736
687
+ path:
688
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T21-06-58.547736.parquet'
689
+ - split: latest
690
+ path:
691
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T21-06-58.547736.parquet'
692
+ - config_name: harness_hendrycksTest_philosophy_5
693
+ data_files:
694
+ - split: 2023_12_29T21_06_58.547736
695
+ path:
696
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T21-06-58.547736.parquet'
697
+ - split: latest
698
+ path:
699
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T21-06-58.547736.parquet'
700
+ - config_name: harness_hendrycksTest_prehistory_5
701
+ data_files:
702
+ - split: 2023_12_29T21_06_58.547736
703
+ path:
704
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T21-06-58.547736.parquet'
705
+ - split: latest
706
+ path:
707
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T21-06-58.547736.parquet'
708
+ - config_name: harness_hendrycksTest_professional_accounting_5
709
+ data_files:
710
+ - split: 2023_12_29T21_06_58.547736
711
+ path:
712
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T21-06-58.547736.parquet'
713
+ - split: latest
714
+ path:
715
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T21-06-58.547736.parquet'
716
+ - config_name: harness_hendrycksTest_professional_law_5
717
+ data_files:
718
+ - split: 2023_12_29T21_06_58.547736
719
+ path:
720
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T21-06-58.547736.parquet'
721
+ - split: latest
722
+ path:
723
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T21-06-58.547736.parquet'
724
+ - config_name: harness_hendrycksTest_professional_medicine_5
725
+ data_files:
726
+ - split: 2023_12_29T21_06_58.547736
727
+ path:
728
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T21-06-58.547736.parquet'
729
+ - split: latest
730
+ path:
731
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T21-06-58.547736.parquet'
732
+ - config_name: harness_hendrycksTest_professional_psychology_5
733
+ data_files:
734
+ - split: 2023_12_29T21_06_58.547736
735
+ path:
736
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T21-06-58.547736.parquet'
737
+ - split: latest
738
+ path:
739
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T21-06-58.547736.parquet'
740
+ - config_name: harness_hendrycksTest_public_relations_5
741
+ data_files:
742
+ - split: 2023_12_29T21_06_58.547736
743
+ path:
744
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T21-06-58.547736.parquet'
745
+ - split: latest
746
+ path:
747
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T21-06-58.547736.parquet'
748
+ - config_name: harness_hendrycksTest_security_studies_5
749
+ data_files:
750
+ - split: 2023_12_29T21_06_58.547736
751
+ path:
752
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T21-06-58.547736.parquet'
753
+ - split: latest
754
+ path:
755
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T21-06-58.547736.parquet'
756
+ - config_name: harness_hendrycksTest_sociology_5
757
+ data_files:
758
+ - split: 2023_12_29T21_06_58.547736
759
+ path:
760
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T21-06-58.547736.parquet'
761
+ - split: latest
762
+ path:
763
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T21-06-58.547736.parquet'
764
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
765
+ data_files:
766
+ - split: 2023_12_29T21_06_58.547736
767
+ path:
768
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T21-06-58.547736.parquet'
769
+ - split: latest
770
+ path:
771
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T21-06-58.547736.parquet'
772
+ - config_name: harness_hendrycksTest_virology_5
773
+ data_files:
774
+ - split: 2023_12_29T21_06_58.547736
775
+ path:
776
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T21-06-58.547736.parquet'
777
+ - split: latest
778
+ path:
779
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T21-06-58.547736.parquet'
780
+ - config_name: harness_hendrycksTest_world_religions_5
781
+ data_files:
782
+ - split: 2023_12_29T21_06_58.547736
783
+ path:
784
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T21-06-58.547736.parquet'
785
+ - split: latest
786
+ path:
787
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T21-06-58.547736.parquet'
788
+ - config_name: harness_truthfulqa_mc_0
789
+ data_files:
790
+ - split: 2023_12_29T21_06_58.547736
791
+ path:
792
+ - '**/details_harness|truthfulqa:mc|0_2023-12-29T21-06-58.547736.parquet'
793
+ - split: latest
794
+ path:
795
+ - '**/details_harness|truthfulqa:mc|0_2023-12-29T21-06-58.547736.parquet'
796
+ - config_name: harness_winogrande_5
797
+ data_files:
798
+ - split: 2023_12_29T21_06_58.547736
799
+ path:
800
+ - '**/details_harness|winogrande|5_2023-12-29T21-06-58.547736.parquet'
801
+ - split: latest
802
+ path:
803
+ - '**/details_harness|winogrande|5_2023-12-29T21-06-58.547736.parquet'
804
+ - config_name: results
805
+ data_files:
806
+ - split: 2023_12_29T21_06_58.547736
807
+ path:
808
+ - results_2023-12-29T21-06-58.547736.parquet
809
+ - split: latest
810
+ path:
811
+ - results_2023-12-29T21-06-58.547736.parquet
812
+ ---
813
+
814
+ # Dataset Card for Evaluation run of aqweteddy/mistral_tv-neural-marconroni
815
+
816
+ <!-- Provide a quick summary of the dataset. -->
817
+
818
+ Dataset automatically created during the evaluation run of model [aqweteddy/mistral_tv-neural-marconroni](https://huggingface.co/aqweteddy/mistral_tv-neural-marconroni) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
819
+
820
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
821
+
822
+ The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
823
+
824
+ An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
825
+
826
+ To load the details from a run, you can for instance do the following:
827
+ ```python
828
+ from datasets import load_dataset
829
+ data = load_dataset("open-llm-leaderboard/details_aqweteddy__mistral_tv-neural-marconroni",
830
+ "harness_winogrande_5",
831
+ split="train")
832
+ ```
833
+
834
+ ## Latest results
835
+
836
+ These are the [latest results from run 2023-12-29T21:06:58.547736](https://huggingface.co/datasets/open-llm-leaderboard/details_aqweteddy__mistral_tv-neural-marconroni/blob/main/results_2023-12-29T21-06-58.547736.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):
837
+
838
+ ```python
839
+ {
840
+ "all": {
841
+ "acc": 0.653997201380612,
842
+ "acc_stderr": 0.031948482529961096,
843
+ "acc_norm": 0.6549938668135185,
844
+ "acc_norm_stderr": 0.032596331692297566,
845
+ "mc1": 0.4418604651162791,
846
+ "mc1_stderr": 0.017384767478986218,
847
+ "mc2": 0.6002963889764419,
848
+ "mc2_stderr": 0.015327998641933535
849
+ },
850
+ "harness|arc:challenge|25": {
851
+ "acc": 0.6604095563139932,
852
+ "acc_stderr": 0.013839039762820167,
853
+ "acc_norm": 0.6919795221843004,
854
+ "acc_norm_stderr": 0.013491429517292038
855
+ },
856
+ "harness|hellaswag|10": {
857
+ "acc": 0.6724756024696276,
858
+ "acc_stderr": 0.004683511716552242,
859
+ "acc_norm": 0.8625771758613822,
860
+ "acc_norm_stderr": 0.003435895386692258
861
+ },
862
+ "harness|hendrycksTest-abstract_algebra|5": {
863
+ "acc": 0.29,
864
+ "acc_stderr": 0.045604802157206845,
865
+ "acc_norm": 0.29,
866
+ "acc_norm_stderr": 0.045604802157206845
867
+ },
868
+ "harness|hendrycksTest-anatomy|5": {
869
+ "acc": 0.6148148148148148,
870
+ "acc_stderr": 0.04203921040156279,
871
+ "acc_norm": 0.6148148148148148,
872
+ "acc_norm_stderr": 0.04203921040156279
873
+ },
874
+ "harness|hendrycksTest-astronomy|5": {
875
+ "acc": 0.7236842105263158,
876
+ "acc_stderr": 0.03639057569952928,
877
+ "acc_norm": 0.7236842105263158,
878
+ "acc_norm_stderr": 0.03639057569952928
879
+ },
880
+ "harness|hendrycksTest-business_ethics|5": {
881
+ "acc": 0.62,
882
+ "acc_stderr": 0.048783173121456316,
883
+ "acc_norm": 0.62,
884
+ "acc_norm_stderr": 0.048783173121456316
885
+ },
886
+ "harness|hendrycksTest-clinical_knowledge|5": {
887
+ "acc": 0.6981132075471698,
888
+ "acc_stderr": 0.02825420034443866,
889
+ "acc_norm": 0.6981132075471698,
890
+ "acc_norm_stderr": 0.02825420034443866
891
+ },
892
+ "harness|hendrycksTest-college_biology|5": {
893
+ "acc": 0.7708333333333334,
894
+ "acc_stderr": 0.03514697467862388,
895
+ "acc_norm": 0.7708333333333334,
896
+ "acc_norm_stderr": 0.03514697467862388
897
+ },
898
+ "harness|hendrycksTest-college_chemistry|5": {
899
+ "acc": 0.47,
900
+ "acc_stderr": 0.05016135580465919,
901
+ "acc_norm": 0.47,
902
+ "acc_norm_stderr": 0.05016135580465919
903
+ },
904
+ "harness|hendrycksTest-college_computer_science|5": {
905
+ "acc": 0.54,
906
+ "acc_stderr": 0.05009082659620333,
907
+ "acc_norm": 0.54,
908
+ "acc_norm_stderr": 0.05009082659620333
909
+ },
910
+ "harness|hendrycksTest-college_mathematics|5": {
911
+ "acc": 0.29,
912
+ "acc_stderr": 0.04560480215720684,
913
+ "acc_norm": 0.29,
914
+ "acc_norm_stderr": 0.04560480215720684
915
+ },
916
+ "harness|hendrycksTest-college_medicine|5": {
917
+ "acc": 0.6473988439306358,
918
+ "acc_stderr": 0.03643037168958548,
919
+ "acc_norm": 0.6473988439306358,
920
+ "acc_norm_stderr": 0.03643037168958548
921
+ },
922
+ "harness|hendrycksTest-college_physics|5": {
923
+ "acc": 0.4117647058823529,
924
+ "acc_stderr": 0.04897104952726366,
925
+ "acc_norm": 0.4117647058823529,
926
+ "acc_norm_stderr": 0.04897104952726366
927
+ },
928
+ "harness|hendrycksTest-computer_security|5": {
929
+ "acc": 0.76,
930
+ "acc_stderr": 0.042923469599092816,
931
+ "acc_norm": 0.76,
932
+ "acc_norm_stderr": 0.042923469599092816
933
+ },
934
+ "harness|hendrycksTest-conceptual_physics|5": {
935
+ "acc": 0.5829787234042553,
936
+ "acc_stderr": 0.03223276266711712,
937
+ "acc_norm": 0.5829787234042553,
938
+ "acc_norm_stderr": 0.03223276266711712
939
+ },
940
+ "harness|hendrycksTest-econometrics|5": {
941
+ "acc": 0.4824561403508772,
942
+ "acc_stderr": 0.04700708033551038,
943
+ "acc_norm": 0.4824561403508772,
944
+ "acc_norm_stderr": 0.04700708033551038
945
+ },
946
+ "harness|hendrycksTest-electrical_engineering|5": {
947
+ "acc": 0.5724137931034483,
948
+ "acc_stderr": 0.04122737111370333,
949
+ "acc_norm": 0.5724137931034483,
950
+ "acc_norm_stderr": 0.04122737111370333
951
+ },
952
+ "harness|hendrycksTest-elementary_mathematics|5": {
953
+ "acc": 0.41534391534391535,
954
+ "acc_stderr": 0.025379524910778394,
955
+ "acc_norm": 0.41534391534391535,
956
+ "acc_norm_stderr": 0.025379524910778394
957
+ },
958
+ "harness|hendrycksTest-formal_logic|5": {
959
+ "acc": 0.5079365079365079,
960
+ "acc_stderr": 0.044715725362943486,
961
+ "acc_norm": 0.5079365079365079,
962
+ "acc_norm_stderr": 0.044715725362943486
963
+ },
964
+ "harness|hendrycksTest-global_facts|5": {
965
+ "acc": 0.38,
966
+ "acc_stderr": 0.04878317312145633,
967
+ "acc_norm": 0.38,
968
+ "acc_norm_stderr": 0.04878317312145633
969
+ },
970
+ "harness|hendrycksTest-high_school_biology|5": {
971
+ "acc": 0.7903225806451613,
972
+ "acc_stderr": 0.023157879349083522,
973
+ "acc_norm": 0.7903225806451613,
974
+ "acc_norm_stderr": 0.023157879349083522
975
+ },
976
+ "harness|hendrycksTest-high_school_chemistry|5": {
977
+ "acc": 0.5221674876847291,
978
+ "acc_stderr": 0.03514528562175008,
979
+ "acc_norm": 0.5221674876847291,
980
+ "acc_norm_stderr": 0.03514528562175008
981
+ },
982
+ "harness|hendrycksTest-high_school_computer_science|5": {
983
+ "acc": 0.72,
984
+ "acc_stderr": 0.04512608598542127,
985
+ "acc_norm": 0.72,
986
+ "acc_norm_stderr": 0.04512608598542127
987
+ },
988
+ "harness|hendrycksTest-high_school_european_history|5": {
989
+ "acc": 0.7757575757575758,
990
+ "acc_stderr": 0.032568666616811015,
991
+ "acc_norm": 0.7757575757575758,
992
+ "acc_norm_stderr": 0.032568666616811015
993
+ },
994
+ "harness|hendrycksTest-high_school_geography|5": {
995
+ "acc": 0.797979797979798,
996
+ "acc_stderr": 0.028606204289229872,
997
+ "acc_norm": 0.797979797979798,
998
+ "acc_norm_stderr": 0.028606204289229872
999
+ },
1000
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1001
+ "acc": 0.9015544041450777,
1002
+ "acc_stderr": 0.021500249576033456,
1003
+ "acc_norm": 0.9015544041450777,
1004
+ "acc_norm_stderr": 0.021500249576033456
1005
+ },
1006
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1007
+ "acc": 0.6871794871794872,
1008
+ "acc_stderr": 0.02350757902064536,
1009
+ "acc_norm": 0.6871794871794872,
1010
+ "acc_norm_stderr": 0.02350757902064536
1011
+ },
1012
+ "harness|hendrycksTest-high_school_mathematics|5": {
1013
+ "acc": 0.35185185185185186,
1014
+ "acc_stderr": 0.02911661760608301,
1015
+ "acc_norm": 0.35185185185185186,
1016
+ "acc_norm_stderr": 0.02911661760608301
1017
+ },
1018
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1019
+ "acc": 0.6974789915966386,
1020
+ "acc_stderr": 0.02983796238829194,
1021
+ "acc_norm": 0.6974789915966386,
1022
+ "acc_norm_stderr": 0.02983796238829194
1023
+ },
1024
+ "harness|hendrycksTest-high_school_physics|5": {
1025
+ "acc": 0.3576158940397351,
1026
+ "acc_stderr": 0.03913453431177258,
1027
+ "acc_norm": 0.3576158940397351,
1028
+ "acc_norm_stderr": 0.03913453431177258
1029
+ },
1030
+ "harness|hendrycksTest-high_school_psychology|5": {
1031
+ "acc": 0.8458715596330275,
1032
+ "acc_stderr": 0.015480826865374308,
1033
+ "acc_norm": 0.8458715596330275,
1034
+ "acc_norm_stderr": 0.015480826865374308
1035
+ },
1036
+ "harness|hendrycksTest-high_school_statistics|5": {
1037
+ "acc": 0.47685185185185186,
1038
+ "acc_stderr": 0.03406315360711507,
1039
+ "acc_norm": 0.47685185185185186,
1040
+ "acc_norm_stderr": 0.03406315360711507
1041
+ },
1042
+ "harness|hendrycksTest-high_school_us_history|5": {
1043
+ "acc": 0.8431372549019608,
1044
+ "acc_stderr": 0.025524722324553353,
1045
+ "acc_norm": 0.8431372549019608,
1046
+ "acc_norm_stderr": 0.025524722324553353
1047
+ },
1048
+ "harness|hendrycksTest-high_school_world_history|5": {
1049
+ "acc": 0.8143459915611815,
1050
+ "acc_stderr": 0.025310495376944856,
1051
+ "acc_norm": 0.8143459915611815,
1052
+ "acc_norm_stderr": 0.025310495376944856
1053
+ },
1054
+ "harness|hendrycksTest-human_aging|5": {
1055
+ "acc": 0.6905829596412556,
1056
+ "acc_stderr": 0.03102441174057221,
1057
+ "acc_norm": 0.6905829596412556,
1058
+ "acc_norm_stderr": 0.03102441174057221
1059
+ },
1060
+ "harness|hendrycksTest-human_sexuality|5": {
1061
+ "acc": 0.7862595419847328,
1062
+ "acc_stderr": 0.0359546161177469,
1063
+ "acc_norm": 0.7862595419847328,
1064
+ "acc_norm_stderr": 0.0359546161177469
1065
+ },
1066
+ "harness|hendrycksTest-international_law|5": {
1067
+ "acc": 0.8099173553719008,
1068
+ "acc_stderr": 0.03581796951709282,
1069
+ "acc_norm": 0.8099173553719008,
1070
+ "acc_norm_stderr": 0.03581796951709282
1071
+ },
1072
+ "harness|hendrycksTest-jurisprudence|5": {
1073
+ "acc": 0.7962962962962963,
1074
+ "acc_stderr": 0.03893542518824847,
1075
+ "acc_norm": 0.7962962962962963,
1076
+ "acc_norm_stderr": 0.03893542518824847
1077
+ },
1078
+ "harness|hendrycksTest-logical_fallacies|5": {
1079
+ "acc": 0.7730061349693251,
1080
+ "acc_stderr": 0.03291099578615769,
1081
+ "acc_norm": 0.7730061349693251,
1082
+ "acc_norm_stderr": 0.03291099578615769
1083
+ },
1084
+ "harness|hendrycksTest-machine_learning|5": {
1085
+ "acc": 0.5178571428571429,
1086
+ "acc_stderr": 0.047427623612430116,
1087
+ "acc_norm": 0.5178571428571429,
1088
+ "acc_norm_stderr": 0.047427623612430116
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+ },
1090
+ "harness|hendrycksTest-management|5": {
1091
+ "acc": 0.8058252427184466,
1092
+ "acc_stderr": 0.03916667762822584,
1093
+ "acc_norm": 0.8058252427184466,
1094
+ "acc_norm_stderr": 0.03916667762822584
1095
+ },
1096
+ "harness|hendrycksTest-marketing|5": {
1097
+ "acc": 0.8803418803418803,
1098
+ "acc_stderr": 0.021262719400406957,
1099
+ "acc_norm": 0.8803418803418803,
1100
+ "acc_norm_stderr": 0.021262719400406957
1101
+ },
1102
+ "harness|hendrycksTest-medical_genetics|5": {
1103
+ "acc": 0.72,
1104
+ "acc_stderr": 0.04512608598542128,
1105
+ "acc_norm": 0.72,
1106
+ "acc_norm_stderr": 0.04512608598542128
1107
+ },
1108
+ "harness|hendrycksTest-miscellaneous|5": {
1109
+ "acc": 0.8314176245210728,
1110
+ "acc_stderr": 0.013387895731543604,
1111
+ "acc_norm": 0.8314176245210728,
1112
+ "acc_norm_stderr": 0.013387895731543604
1113
+ },
1114
+ "harness|hendrycksTest-moral_disputes|5": {
1115
+ "acc": 0.7254335260115607,
1116
+ "acc_stderr": 0.024027745155265023,
1117
+ "acc_norm": 0.7254335260115607,
1118
+ "acc_norm_stderr": 0.024027745155265023
1119
+ },
1120
+ "harness|hendrycksTest-moral_scenarios|5": {
1121
+ "acc": 0.4100558659217877,
1122
+ "acc_stderr": 0.016449708209026078,
1123
+ "acc_norm": 0.4100558659217877,
1124
+ "acc_norm_stderr": 0.016449708209026078
1125
+ },
1126
+ "harness|hendrycksTest-nutrition|5": {
1127
+ "acc": 0.738562091503268,
1128
+ "acc_stderr": 0.025160998214292452,
1129
+ "acc_norm": 0.738562091503268,
1130
+ "acc_norm_stderr": 0.025160998214292452
1131
+ },
1132
+ "harness|hendrycksTest-philosophy|5": {
1133
+ "acc": 0.7041800643086816,
1134
+ "acc_stderr": 0.025922371788818763,
1135
+ "acc_norm": 0.7041800643086816,
1136
+ "acc_norm_stderr": 0.025922371788818763
1137
+ },
1138
+ "harness|hendrycksTest-prehistory|5": {
1139
+ "acc": 0.7191358024691358,
1140
+ "acc_stderr": 0.025006469755799208,
1141
+ "acc_norm": 0.7191358024691358,
1142
+ "acc_norm_stderr": 0.025006469755799208
1143
+ },
1144
+ "harness|hendrycksTest-professional_accounting|5": {
1145
+ "acc": 0.4787234042553192,
1146
+ "acc_stderr": 0.029800481645628693,
1147
+ "acc_norm": 0.4787234042553192,
1148
+ "acc_norm_stderr": 0.029800481645628693
1149
+ },
1150
+ "harness|hendrycksTest-professional_law|5": {
1151
+ "acc": 0.4661016949152542,
1152
+ "acc_stderr": 0.012740853872949834,
1153
+ "acc_norm": 0.4661016949152542,
1154
+ "acc_norm_stderr": 0.012740853872949834
1155
+ },
1156
+ "harness|hendrycksTest-professional_medicine|5": {
1157
+ "acc": 0.6875,
1158
+ "acc_stderr": 0.02815637344037142,
1159
+ "acc_norm": 0.6875,
1160
+ "acc_norm_stderr": 0.02815637344037142
1161
+ },
1162
+ "harness|hendrycksTest-professional_psychology|5": {
1163
+ "acc": 0.6862745098039216,
1164
+ "acc_stderr": 0.01877168389352818,
1165
+ "acc_norm": 0.6862745098039216,
1166
+ "acc_norm_stderr": 0.01877168389352818
1167
+ },
1168
+ "harness|hendrycksTest-public_relations|5": {
1169
+ "acc": 0.6818181818181818,
1170
+ "acc_stderr": 0.04461272175910509,
1171
+ "acc_norm": 0.6818181818181818,
1172
+ "acc_norm_stderr": 0.04461272175910509
1173
+ },
1174
+ "harness|hendrycksTest-security_studies|5": {
1175
+ "acc": 0.7346938775510204,
1176
+ "acc_stderr": 0.028263889943784603,
1177
+ "acc_norm": 0.7346938775510204,
1178
+ "acc_norm_stderr": 0.028263889943784603
1179
+ },
1180
+ "harness|hendrycksTest-sociology|5": {
1181
+ "acc": 0.845771144278607,
1182
+ "acc_stderr": 0.02553843336857833,
1183
+ "acc_norm": 0.845771144278607,
1184
+ "acc_norm_stderr": 0.02553843336857833
1185
+ },
1186
+ "harness|hendrycksTest-us_foreign_policy|5": {
1187
+ "acc": 0.85,
1188
+ "acc_stderr": 0.035887028128263686,
1189
+ "acc_norm": 0.85,
1190
+ "acc_norm_stderr": 0.035887028128263686
1191
+ },
1192
+ "harness|hendrycksTest-virology|5": {
1193
+ "acc": 0.5542168674698795,
1194
+ "acc_stderr": 0.03869543323472101,
1195
+ "acc_norm": 0.5542168674698795,
1196
+ "acc_norm_stderr": 0.03869543323472101
1197
+ },
1198
+ "harness|hendrycksTest-world_religions|5": {
1199
+ "acc": 0.8362573099415205,
1200
+ "acc_stderr": 0.028380919596145866,
1201
+ "acc_norm": 0.8362573099415205,
1202
+ "acc_norm_stderr": 0.028380919596145866
1203
+ },
1204
+ "harness|truthfulqa:mc|0": {
1205
+ "mc1": 0.4418604651162791,
1206
+ "mc1_stderr": 0.017384767478986218,
1207
+ "mc2": 0.6002963889764419,
1208
+ "mc2_stderr": 0.015327998641933535
1209
+ },
1210
+ "harness|winogrande|5": {
1211
+ "acc": 0.8089976322020521,
1212
+ "acc_stderr": 0.011047808761510425
1213
+ },
1214
+ "harness|gsm8k|5": {
1215
+ "acc": 0.6618650492797574,
1216
+ "acc_stderr": 0.013030829145172217
1217
+ }
1218
+ }
1219
+ ```
1220
+
1221
+ ## Dataset Details
1222
+
1223
+ ### Dataset Description
1224
+
1225
+ <!-- Provide a longer summary of what this dataset is. -->
1226
+
1227
+
1228
+
1229
+ - **Curated by:** [More Information Needed]
1230
+ - **Funded by [optional]:** [More Information Needed]
1231
+ - **Shared by [optional]:** [More Information Needed]
1232
+ - **Language(s) (NLP):** [More Information Needed]
1233
+ - **License:** [More Information Needed]
1234
+
1235
+ ### Dataset Sources [optional]
1236
+
1237
+ <!-- Provide the basic links for the dataset. -->
1238
+
1239
+ - **Repository:** [More Information Needed]
1240
+ - **Paper [optional]:** [More Information Needed]
1241
+ - **Demo [optional]:** [More Information Needed]
1242
+
1243
+ ## Uses
1244
+
1245
+ <!-- Address questions around how the dataset is intended to be used. -->
1246
+
1247
+ ### Direct Use
1248
+
1249
+ <!-- This section describes suitable use cases for the dataset. -->
1250
+
1251
+ [More Information Needed]
1252
+
1253
+ ### Out-of-Scope Use
1254
+
1255
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1256
+
1257
+ [More Information Needed]
1258
+
1259
+ ## Dataset Structure
1260
+
1261
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
1262
+
1263
+ [More Information Needed]
1264
+
1265
+ ## Dataset Creation
1266
+
1267
+ ### Curation Rationale
1268
+
1269
+ <!-- Motivation for the creation of this dataset. -->
1270
+
1271
+ [More Information Needed]
1272
+
1273
+ ### Source Data
1274
+
1275
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1276
+
1277
+ #### Data Collection and Processing
1278
+
1279
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1280
+
1281
+ [More Information Needed]
1282
+
1283
+ #### Who are the source data producers?
1284
+
1285
+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
1286
+
1287
+ [More Information Needed]
1288
+
1289
+ ### Annotations [optional]
1290
+
1291
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1292
+
1293
+ #### Annotation process
1294
+
1295
+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
1296
+
1297
+ [More Information Needed]
1298
+
1299
+ #### Who are the annotators?
1300
+
1301
+ <!-- This section describes the people or systems who created the annotations. -->
1302
+
1303
+ [More Information Needed]
1304
+
1305
+ #### Personal and Sensitive Information
1306
+
1307
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
1308
+
1309
+ [More Information Needed]
1310
+
1311
+ ## Bias, Risks, and Limitations
1312
+
1313
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1314
+
1315
+ [More Information Needed]
1316
+
1317
+ ### Recommendations
1318
+
1319
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1320
+
1321
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1322
+
1323
+ ## Citation [optional]
1324
+
1325
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1326
+
1327
+ **BibTeX:**
1328
+
1329
+ [More Information Needed]
1330
+
1331
+ **APA:**
1332
+
1333
+ [More Information Needed]
1334
+
1335
+ ## Glossary [optional]
1336
+
1337
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1338
+
1339
+ [More Information Needed]
1340
+
1341
+ ## More Information [optional]
1342
+
1343
+ [More Information Needed]
1344
+
1345
+ ## Dataset Card Authors [optional]
1346
+
1347
+ [More Information Needed]
1348
+
1349
+ ## Dataset Card Contact
1350
+
1351
+ [More Information Needed]