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details_Felladrin__Smol-Llama-101M-Chat-v1

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1
+ ---
2
+ pretty_name: Evaluation run of Felladrin/Smol-Llama-101M-Chat-v1
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1)\
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_Felladrin__Smol-Llama-101M-Chat-v1\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2023-12-29T19:30:13.746850](https://huggingface.co/datasets/open-llm-leaderboard/details_Felladrin__Smol-Llama-101M-Chat-v1/blob/main/results_2023-12-29T19-30-13.746850.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\": 0.24875102412567496,\n\
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+ \ \"acc_stderr\": 0.030480837022125038,\n \"acc_norm\": 0.24959862358168325,\n\
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+ \ \"acc_norm_stderr\": 0.03127898135128497,\n \"mc1\": 0.26193390452876375,\n\
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+ \ \"mc1_stderr\": 0.015392118805015023,\n \"mc2\": 0.45756971268130436,\n\
23
+ \ \"mc2_stderr\": 0.015178620872901784\n },\n \"harness|arc:challenge|25\"\
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+ : {\n \"acc\": 0.18686006825938567,\n \"acc_stderr\": 0.011391015649694379,\n\
25
+ \ \"acc_norm\": 0.22866894197952217,\n \"acc_norm_stderr\": 0.012272853582540795\n\
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+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.27504481179047996,\n\
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+ \ \"acc_stderr\": 0.00445624260195063,\n \"acc_norm\": 0.28689504082852024,\n\
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+ \ \"acc_norm_stderr\": 0.0045138774650621254\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
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+ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \
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+ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \
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+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.3037037037037037,\n\
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+ \ \"acc_stderr\": 0.03972552884785137,\n \"acc_norm\": 0.3037037037037037,\n\
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+ \ \"acc_norm_stderr\": 0.03972552884785137\n },\n \"harness|hendrycksTest-astronomy|5\"\
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+ : {\n \"acc\": 0.23026315789473684,\n \"acc_stderr\": 0.03426059424403165,\n\
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+ \ \"acc_norm\": 0.23026315789473684,\n \"acc_norm_stderr\": 0.03426059424403165\n\
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+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.22,\n\
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+ \ \"acc_stderr\": 0.04163331998932268,\n \"acc_norm\": 0.22,\n \
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+ \ \"acc_norm_stderr\": 0.04163331998932268\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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+ : {\n \"acc\": 0.2188679245283019,\n \"acc_stderr\": 0.025447863825108614,\n\
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+ \ \"acc_norm\": 0.2188679245283019,\n \"acc_norm_stderr\": 0.025447863825108614\n\
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+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.24305555555555555,\n\
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+ \ \"acc_stderr\": 0.03586879280080343,\n \"acc_norm\": 0.24305555555555555,\n\
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+ \ \"acc_norm_stderr\": 0.03586879280080343\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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+ : {\n \"acc\": 0.17,\n \"acc_stderr\": 0.03775251680686371,\n \
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+ \ \"acc_norm\": 0.17,\n \"acc_norm_stderr\": 0.03775251680686371\n \
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+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
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+ : 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \"acc_norm\": 0.19,\n\
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+ \ \"acc_norm_stderr\": 0.039427724440366234\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
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+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
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+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.21965317919075145,\n\
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+ \ \"acc_stderr\": 0.031568093627031744,\n \"acc_norm\": 0.21965317919075145,\n\
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+ \ \"acc_norm_stderr\": 0.031568093627031744\n },\n \"harness|hendrycksTest-college_physics|5\"\
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+ : {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\
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+ \ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\
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+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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+ \ 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\": 0.29,\n\
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+ \ \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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+ : {\n \"acc\": 0.2425531914893617,\n \"acc_stderr\": 0.028020226271200217,\n\
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+ \ \"acc_norm\": 0.2425531914893617,\n \"acc_norm_stderr\": 0.028020226271200217\n\
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+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.23684210526315788,\n\
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+ \ \"acc_stderr\": 0.03999423879281336,\n \"acc_norm\": 0.23684210526315788,\n\
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+ \ \"acc_norm_stderr\": 0.03999423879281336\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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+ : {\n \"acc\": 0.23448275862068965,\n \"acc_stderr\": 0.035306258743465914,\n\
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+ \ \"acc_norm\": 0.23448275862068965,\n \"acc_norm_stderr\": 0.035306258743465914\n\
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+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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+ : 0.23544973544973544,\n \"acc_stderr\": 0.02185150982203172,\n \"\
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+ acc_norm\": 0.23544973544973544,\n \"acc_norm_stderr\": 0.02185150982203172\n\
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+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.1984126984126984,\n\
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+ \ \"acc_stderr\": 0.03567016675276864,\n \"acc_norm\": 0.1984126984126984,\n\
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+ \ \"acc_norm_stderr\": 0.03567016675276864\n },\n \"harness|hendrycksTest-global_facts|5\"\
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+ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
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+ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
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+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
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+ : 0.33225806451612905,\n \"acc_stderr\": 0.02679556084812279,\n \"\
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+ acc_norm\": 0.33225806451612905,\n \"acc_norm_stderr\": 0.02679556084812279\n\
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+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
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+ : 0.3054187192118227,\n \"acc_stderr\": 0.03240661565868408,\n \"\
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+ acc_norm\": 0.3054187192118227,\n \"acc_norm_stderr\": 0.03240661565868408\n\
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+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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+ \ \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932269,\n \"acc_norm\"\
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+ : 0.22,\n \"acc_norm_stderr\": 0.04163331998932269\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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+ : {\n \"acc\": 0.24242424242424243,\n \"acc_stderr\": 0.03346409881055953,\n\
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+ \ \"acc_norm\": 0.24242424242424243,\n \"acc_norm_stderr\": 0.03346409881055953\n\
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+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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+ : 0.23232323232323232,\n \"acc_stderr\": 0.030088629490217487,\n \"\
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+ acc_norm\": 0.23232323232323232,\n \"acc_norm_stderr\": 0.030088629490217487\n\
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+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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+ \ \"acc\": 0.27979274611398963,\n \"acc_stderr\": 0.032396370467357015,\n\
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+ \ \"acc_norm\": 0.27979274611398963,\n \"acc_norm_stderr\": 0.032396370467357015\n\
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+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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+ \ \"acc\": 0.258974358974359,\n \"acc_stderr\": 0.022211106810061672,\n \
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+ \ \"acc_norm\": 0.258974358974359,\n \"acc_norm_stderr\": 0.022211106810061672\n\
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+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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+ acc\": 0.26666666666666666,\n \"acc_stderr\": 0.026962424325073835,\n \
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+ \ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.026962424325073835\n\
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+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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+ \ \"acc_norm\": 0.31512605042016806,\n \"acc_norm_stderr\": 0.030176808288974337\n\
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+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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+ : 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\
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+ acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\
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+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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+ : 0.22385321100917432,\n \"acc_stderr\": 0.017871217767790222,\n \"\
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+ acc_norm\": 0.22385321100917432,\n \"acc_norm_stderr\": 0.017871217767790222\n\
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+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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+ acc_norm\": 0.4398148148148148,\n \"acc_norm_stderr\": 0.03385177976044811\n\
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+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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+ : 0.25,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.25,\n\
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+ \ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
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+ : {\n \"acc\": 0.25316455696202533,\n \"acc_stderr\": 0.02830465794303529,\n\
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+ \ \"acc_norm\": 0.25316455696202533,\n \"acc_norm_stderr\": 0.02830465794303529\n\
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+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.21524663677130046,\n\
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+ \ \"acc_stderr\": 0.02758406660220826,\n \"acc_norm\": 0.21524663677130046,\n\
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+ \ \"acc_norm_stderr\": 0.02758406660220826\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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+ : {\n \"acc\": 0.19083969465648856,\n \"acc_stderr\": 0.034465133507525975,\n\
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+ \ \"acc_norm\": 0.19083969465648856,\n \"acc_norm_stderr\": 0.034465133507525975\n\
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+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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+ \ 0.371900826446281,\n \"acc_stderr\": 0.044120158066245044,\n \"\
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+ acc_norm\": 0.371900826446281,\n \"acc_norm_stderr\": 0.044120158066245044\n\
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+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.2222222222222222,\n\
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+ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.2222222222222222,\n\
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+ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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+ : {\n \"acc\": 0.2147239263803681,\n \"acc_stderr\": 0.03226219377286774,\n\
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+ \ \"acc_norm\": 0.2147239263803681,\n \"acc_norm_stderr\": 0.03226219377286774\n\
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+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.25892857142857145,\n\
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+ \ \"acc_stderr\": 0.04157751539865629,\n \"acc_norm\": 0.25892857142857145,\n\
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+ \ \"acc_norm_stderr\": 0.04157751539865629\n },\n \"harness|hendrycksTest-management|5\"\
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+ : {\n \"acc\": 0.21359223300970873,\n \"acc_stderr\": 0.040580420156460344,\n\
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+ \ \"acc_norm\": 0.21359223300970873,\n \"acc_norm_stderr\": 0.040580420156460344\n\
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+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.20512820512820512,\n\
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+ \ \"acc_norm_stderr\": 0.026453508054040325\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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+ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768078,\n \
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+ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768078\n \
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+ \ \"acc_stderr\": 0.01576998484069052,\n \"acc_norm\": 0.26436781609195403,\n\
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+ \ \"acc_norm_stderr\": 0.01576998484069052\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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+ : {\n \"acc\": 0.23699421965317918,\n \"acc_stderr\": 0.022894082489925992,\n\
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+ \ \"acc_norm\": 0.23699421965317918,\n \"acc_norm_stderr\": 0.022894082489925992\n\
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+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24692737430167597,\n\
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+ \ \"acc_norm_stderr\": 0.014422292204808835\n },\n \"harness|hendrycksTest-nutrition|5\"\
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+ : {\n \"acc\": 0.23202614379084968,\n \"acc_stderr\": 0.02417084087934102,\n\
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+ \ \"acc_norm\": 0.23202614379084968,\n \"acc_norm_stderr\": 0.02417084087934102\n\
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+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.28938906752411575,\n\
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+ \ \"acc_stderr\": 0.025755865922632924,\n \"acc_norm\": 0.28938906752411575,\n\
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+ \ \"acc_norm_stderr\": 0.025755865922632924\n },\n \"harness|hendrycksTest-prehistory|5\"\
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+ : {\n \"acc\": 0.26851851851851855,\n \"acc_stderr\": 0.02465968518596728,\n\
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+ \ \"acc_norm\": 0.26851851851851855,\n \"acc_norm_stderr\": 0.02465968518596728\n\
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+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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+ acc\": 0.26595744680851063,\n \"acc_stderr\": 0.026358065698880585,\n \
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+ \ \"acc_norm\": 0.26595744680851063,\n \"acc_norm_stderr\": 0.026358065698880585\n\
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+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2470664928292047,\n\
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+ \ \"acc_stderr\": 0.011015752255279338,\n \"acc_norm\": 0.2470664928292047,\n\
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+ \ \"acc_norm_stderr\": 0.011015752255279338\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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+ : {\n \"acc\": 0.28308823529411764,\n \"acc_stderr\": 0.02736586113151381,\n\
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+ \ \"acc_norm\": 0.28308823529411764,\n \"acc_norm_stderr\": 0.02736586113151381\n\
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+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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+ acc\": 0.26143790849673204,\n \"acc_stderr\": 0.017776947157528047,\n \
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+ \ \"acc_norm\": 0.26143790849673204,\n \"acc_norm_stderr\": 0.017776947157528047\n\
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+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.17272727272727273,\n\
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+ \ \"acc_stderr\": 0.036206918339292196,\n \"acc_norm\": 0.17272727272727273,\n\
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+ \ \"acc_norm_stderr\": 0.036206918339292196\n },\n \"harness|hendrycksTest-security_studies|5\"\
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+ : {\n \"acc\": 0.32653061224489793,\n \"acc_stderr\": 0.030021056238440317,\n\
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+ \ \"acc_norm\": 0.32653061224489793,\n \"acc_norm_stderr\": 0.030021056238440317\n\
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+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.1890547263681592,\n\
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+ \ \"acc_stderr\": 0.027686913588013024,\n \"acc_norm\": 0.1890547263681592,\n\
170
+ \ \"acc_norm_stderr\": 0.027686913588013024\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
171
+ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \
172
+ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816505\n \
173
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.21084337349397592,\n\
174
+ \ \"acc_stderr\": 0.0317555478662992,\n \"acc_norm\": 0.21084337349397592,\n\
175
+ \ \"acc_norm_stderr\": 0.0317555478662992\n },\n \"harness|hendrycksTest-world_religions|5\"\
176
+ : {\n \"acc\": 0.21637426900584794,\n \"acc_stderr\": 0.03158149539338734,\n\
177
+ \ \"acc_norm\": 0.21637426900584794,\n \"acc_norm_stderr\": 0.03158149539338734\n\
178
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.26193390452876375,\n\
179
+ \ \"mc1_stderr\": 0.015392118805015023,\n \"mc2\": 0.45756971268130436,\n\
180
+ \ \"mc2_stderr\": 0.015178620872901784\n },\n \"harness|winogrande|5\"\
181
+ : {\n \"acc\": 0.500394632991318,\n \"acc_stderr\": 0.014052481306049512\n\
182
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.000758150113722517,\n \
183
+ \ \"acc_stderr\": 0.0007581501137225172\n }\n}\n```"
184
+ repo_url: https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1
185
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
186
+ point_of_contact: clementine@hf.co
187
+ configs:
188
+ - config_name: harness_arc_challenge_25
189
+ data_files:
190
+ - split: 2023_12_29T19_30_13.746850
191
+ path:
192
+ - '**/details_harness|arc:challenge|25_2023-12-29T19-30-13.746850.parquet'
193
+ - split: latest
194
+ path:
195
+ - '**/details_harness|arc:challenge|25_2023-12-29T19-30-13.746850.parquet'
196
+ - config_name: harness_gsm8k_5
197
+ data_files:
198
+ - split: 2023_12_29T19_30_13.746850
199
+ path:
200
+ - '**/details_harness|gsm8k|5_2023-12-29T19-30-13.746850.parquet'
201
+ - split: latest
202
+ path:
203
+ - '**/details_harness|gsm8k|5_2023-12-29T19-30-13.746850.parquet'
204
+ - config_name: harness_hellaswag_10
205
+ data_files:
206
+ - split: 2023_12_29T19_30_13.746850
207
+ path:
208
+ - '**/details_harness|hellaswag|10_2023-12-29T19-30-13.746850.parquet'
209
+ - split: latest
210
+ path:
211
+ - '**/details_harness|hellaswag|10_2023-12-29T19-30-13.746850.parquet'
212
+ - config_name: harness_hendrycksTest_5
213
+ data_files:
214
+ - split: 2023_12_29T19_30_13.746850
215
+ path:
216
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T19-30-13.746850.parquet'
217
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T19-30-13.746850.parquet'
218
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T19-30-13.746850.parquet'
219
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T19-30-13.746850.parquet'
220
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T19-30-13.746850.parquet'
221
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T19-30-13.746850.parquet'
222
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T19-30-13.746850.parquet'
223
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T19-30-13.746850.parquet'
224
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T19-30-13.746850.parquet'
225
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T19-30-13.746850.parquet'
226
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T19-30-13.746850.parquet'
227
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T19-30-13.746850.parquet'
228
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T19-30-13.746850.parquet'
229
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T19-30-13.746850.parquet'
230
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T19-30-13.746850.parquet'
231
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T19-30-13.746850.parquet'
232
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T19-30-13.746850.parquet'
233
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T19-30-13.746850.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T19-30-13.746850.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T19-30-13.746850.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T19-30-13.746850.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T19-30-13.746850.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T19-30-13.746850.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T19-30-13.746850.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T19-30-13.746850.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T19-30-13.746850.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T19-30-13.746850.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T19-30-13.746850.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T19-30-13.746850.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T19-30-13.746850.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T19-30-13.746850.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T19-30-13.746850.parquet'
248
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T19-30-13.746850.parquet'
249
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T19-30-13.746850.parquet'
250
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T19-30-13.746850.parquet'
251
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T19-30-13.746850.parquet'
252
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T19-30-13.746850.parquet'
253
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T19-30-13.746850.parquet'
254
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T19-30-13.746850.parquet'
255
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T19-30-13.746850.parquet'
256
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T19-30-13.746850.parquet'
257
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T19-30-13.746850.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T19-30-13.746850.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T19-30-13.746850.parquet'
260
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T19-30-13.746850.parquet'
261
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T19-30-13.746850.parquet'
262
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T19-30-13.746850.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T19-30-13.746850.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T19-30-13.746850.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T19-30-13.746850.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T19-30-13.746850.parquet'
267
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T19-30-13.746850.parquet'
268
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T19-30-13.746850.parquet'
269
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T19-30-13.746850.parquet'
270
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T19-30-13.746850.parquet'
271
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T19-30-13.746850.parquet'
272
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T19-30-13.746850.parquet'
273
+ - split: latest
274
+ path:
275
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T19-30-13.746850.parquet'
276
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T19-30-13.746850.parquet'
277
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T19-30-13.746850.parquet'
278
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T19-30-13.746850.parquet'
279
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T19-30-13.746850.parquet'
280
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T19-30-13.746850.parquet'
281
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T19-30-13.746850.parquet'
282
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T19-30-13.746850.parquet'
283
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T19-30-13.746850.parquet'
284
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T19-30-13.746850.parquet'
285
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T19-30-13.746850.parquet'
286
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T19-30-13.746850.parquet'
287
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T19-30-13.746850.parquet'
288
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T19-30-13.746850.parquet'
289
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T19-30-13.746850.parquet'
290
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T19-30-13.746850.parquet'
291
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T19-30-13.746850.parquet'
292
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T19-30-13.746850.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T19-30-13.746850.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T19-30-13.746850.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T19-30-13.746850.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T19-30-13.746850.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T19-30-13.746850.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T19-30-13.746850.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T19-30-13.746850.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T19-30-13.746850.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T19-30-13.746850.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T19-30-13.746850.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T19-30-13.746850.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T19-30-13.746850.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T19-30-13.746850.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T19-30-13.746850.parquet'
307
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T19-30-13.746850.parquet'
308
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T19-30-13.746850.parquet'
309
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T19-30-13.746850.parquet'
310
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T19-30-13.746850.parquet'
311
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T19-30-13.746850.parquet'
312
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T19-30-13.746850.parquet'
313
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T19-30-13.746850.parquet'
314
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T19-30-13.746850.parquet'
315
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T19-30-13.746850.parquet'
316
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T19-30-13.746850.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T19-30-13.746850.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T19-30-13.746850.parquet'
319
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T19-30-13.746850.parquet'
320
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T19-30-13.746850.parquet'
321
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T19-30-13.746850.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T19-30-13.746850.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T19-30-13.746850.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T19-30-13.746850.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T19-30-13.746850.parquet'
326
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T19-30-13.746850.parquet'
327
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T19-30-13.746850.parquet'
328
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T19-30-13.746850.parquet'
329
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T19-30-13.746850.parquet'
330
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T19-30-13.746850.parquet'
331
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T19-30-13.746850.parquet'
332
+ - config_name: harness_hendrycksTest_abstract_algebra_5
333
+ data_files:
334
+ - split: 2023_12_29T19_30_13.746850
335
+ path:
336
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T19-30-13.746850.parquet'
337
+ - split: latest
338
+ path:
339
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T19-30-13.746850.parquet'
340
+ - config_name: harness_hendrycksTest_anatomy_5
341
+ data_files:
342
+ - split: 2023_12_29T19_30_13.746850
343
+ path:
344
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T19-30-13.746850.parquet'
345
+ - split: latest
346
+ path:
347
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T19-30-13.746850.parquet'
348
+ - config_name: harness_hendrycksTest_astronomy_5
349
+ data_files:
350
+ - split: 2023_12_29T19_30_13.746850
351
+ path:
352
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T19-30-13.746850.parquet'
353
+ - split: latest
354
+ path:
355
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T19-30-13.746850.parquet'
356
+ - config_name: harness_hendrycksTest_business_ethics_5
357
+ data_files:
358
+ - split: 2023_12_29T19_30_13.746850
359
+ path:
360
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T19-30-13.746850.parquet'
361
+ - split: latest
362
+ path:
363
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T19-30-13.746850.parquet'
364
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
365
+ data_files:
366
+ - split: 2023_12_29T19_30_13.746850
367
+ path:
368
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T19-30-13.746850.parquet'
369
+ - split: latest
370
+ path:
371
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T19-30-13.746850.parquet'
372
+ - config_name: harness_hendrycksTest_college_biology_5
373
+ data_files:
374
+ - split: 2023_12_29T19_30_13.746850
375
+ path:
376
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T19-30-13.746850.parquet'
377
+ - split: latest
378
+ path:
379
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T19-30-13.746850.parquet'
380
+ - config_name: harness_hendrycksTest_college_chemistry_5
381
+ data_files:
382
+ - split: 2023_12_29T19_30_13.746850
383
+ path:
384
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T19-30-13.746850.parquet'
385
+ - split: latest
386
+ path:
387
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T19-30-13.746850.parquet'
388
+ - config_name: harness_hendrycksTest_college_computer_science_5
389
+ data_files:
390
+ - split: 2023_12_29T19_30_13.746850
391
+ path:
392
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T19-30-13.746850.parquet'
393
+ - split: latest
394
+ path:
395
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T19-30-13.746850.parquet'
396
+ - config_name: harness_hendrycksTest_college_mathematics_5
397
+ data_files:
398
+ - split: 2023_12_29T19_30_13.746850
399
+ path:
400
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T19-30-13.746850.parquet'
401
+ - split: latest
402
+ path:
403
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T19-30-13.746850.parquet'
404
+ - config_name: harness_hendrycksTest_college_medicine_5
405
+ data_files:
406
+ - split: 2023_12_29T19_30_13.746850
407
+ path:
408
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T19-30-13.746850.parquet'
409
+ - split: latest
410
+ path:
411
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T19-30-13.746850.parquet'
412
+ - config_name: harness_hendrycksTest_college_physics_5
413
+ data_files:
414
+ - split: 2023_12_29T19_30_13.746850
415
+ path:
416
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T19-30-13.746850.parquet'
417
+ - split: latest
418
+ path:
419
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T19-30-13.746850.parquet'
420
+ - config_name: harness_hendrycksTest_computer_security_5
421
+ data_files:
422
+ - split: 2023_12_29T19_30_13.746850
423
+ path:
424
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T19-30-13.746850.parquet'
425
+ - split: latest
426
+ path:
427
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T19-30-13.746850.parquet'
428
+ - config_name: harness_hendrycksTest_conceptual_physics_5
429
+ data_files:
430
+ - split: 2023_12_29T19_30_13.746850
431
+ path:
432
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T19-30-13.746850.parquet'
433
+ - split: latest
434
+ path:
435
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T19-30-13.746850.parquet'
436
+ - config_name: harness_hendrycksTest_econometrics_5
437
+ data_files:
438
+ - split: 2023_12_29T19_30_13.746850
439
+ path:
440
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T19-30-13.746850.parquet'
441
+ - split: latest
442
+ path:
443
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T19-30-13.746850.parquet'
444
+ - config_name: harness_hendrycksTest_electrical_engineering_5
445
+ data_files:
446
+ - split: 2023_12_29T19_30_13.746850
447
+ path:
448
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T19-30-13.746850.parquet'
449
+ - split: latest
450
+ path:
451
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T19-30-13.746850.parquet'
452
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
453
+ data_files:
454
+ - split: 2023_12_29T19_30_13.746850
455
+ path:
456
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T19-30-13.746850.parquet'
457
+ - split: latest
458
+ path:
459
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T19-30-13.746850.parquet'
460
+ - config_name: harness_hendrycksTest_formal_logic_5
461
+ data_files:
462
+ - split: 2023_12_29T19_30_13.746850
463
+ path:
464
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T19-30-13.746850.parquet'
465
+ - split: latest
466
+ path:
467
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T19-30-13.746850.parquet'
468
+ - config_name: harness_hendrycksTest_global_facts_5
469
+ data_files:
470
+ - split: 2023_12_29T19_30_13.746850
471
+ path:
472
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T19-30-13.746850.parquet'
473
+ - split: latest
474
+ path:
475
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T19-30-13.746850.parquet'
476
+ - config_name: harness_hendrycksTest_high_school_biology_5
477
+ data_files:
478
+ - split: 2023_12_29T19_30_13.746850
479
+ path:
480
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T19-30-13.746850.parquet'
481
+ - split: latest
482
+ path:
483
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T19-30-13.746850.parquet'
484
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
485
+ data_files:
486
+ - split: 2023_12_29T19_30_13.746850
487
+ path:
488
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T19-30-13.746850.parquet'
489
+ - split: latest
490
+ path:
491
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T19-30-13.746850.parquet'
492
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
493
+ data_files:
494
+ - split: 2023_12_29T19_30_13.746850
495
+ path:
496
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T19-30-13.746850.parquet'
497
+ - split: latest
498
+ path:
499
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T19-30-13.746850.parquet'
500
+ - config_name: harness_hendrycksTest_high_school_european_history_5
501
+ data_files:
502
+ - split: 2023_12_29T19_30_13.746850
503
+ path:
504
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T19-30-13.746850.parquet'
505
+ - split: latest
506
+ path:
507
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T19-30-13.746850.parquet'
508
+ - config_name: harness_hendrycksTest_high_school_geography_5
509
+ data_files:
510
+ - split: 2023_12_29T19_30_13.746850
511
+ path:
512
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T19-30-13.746850.parquet'
513
+ - split: latest
514
+ path:
515
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T19-30-13.746850.parquet'
516
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
517
+ data_files:
518
+ - split: 2023_12_29T19_30_13.746850
519
+ path:
520
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T19-30-13.746850.parquet'
521
+ - split: latest
522
+ path:
523
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T19-30-13.746850.parquet'
524
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
525
+ data_files:
526
+ - split: 2023_12_29T19_30_13.746850
527
+ path:
528
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T19-30-13.746850.parquet'
529
+ - split: latest
530
+ path:
531
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T19-30-13.746850.parquet'
532
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
533
+ data_files:
534
+ - split: 2023_12_29T19_30_13.746850
535
+ path:
536
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T19-30-13.746850.parquet'
537
+ - split: latest
538
+ path:
539
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T19-30-13.746850.parquet'
540
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
541
+ data_files:
542
+ - split: 2023_12_29T19_30_13.746850
543
+ path:
544
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T19-30-13.746850.parquet'
545
+ - split: latest
546
+ path:
547
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T19-30-13.746850.parquet'
548
+ - config_name: harness_hendrycksTest_high_school_physics_5
549
+ data_files:
550
+ - split: 2023_12_29T19_30_13.746850
551
+ path:
552
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T19-30-13.746850.parquet'
553
+ - split: latest
554
+ path:
555
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T19-30-13.746850.parquet'
556
+ - config_name: harness_hendrycksTest_high_school_psychology_5
557
+ data_files:
558
+ - split: 2023_12_29T19_30_13.746850
559
+ path:
560
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T19-30-13.746850.parquet'
561
+ - split: latest
562
+ path:
563
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T19-30-13.746850.parquet'
564
+ - config_name: harness_hendrycksTest_high_school_statistics_5
565
+ data_files:
566
+ - split: 2023_12_29T19_30_13.746850
567
+ path:
568
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T19-30-13.746850.parquet'
569
+ - split: latest
570
+ path:
571
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T19-30-13.746850.parquet'
572
+ - config_name: harness_hendrycksTest_high_school_us_history_5
573
+ data_files:
574
+ - split: 2023_12_29T19_30_13.746850
575
+ path:
576
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T19-30-13.746850.parquet'
577
+ - split: latest
578
+ path:
579
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T19-30-13.746850.parquet'
580
+ - config_name: harness_hendrycksTest_high_school_world_history_5
581
+ data_files:
582
+ - split: 2023_12_29T19_30_13.746850
583
+ path:
584
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T19-30-13.746850.parquet'
585
+ - split: latest
586
+ path:
587
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T19-30-13.746850.parquet'
588
+ - config_name: harness_hendrycksTest_human_aging_5
589
+ data_files:
590
+ - split: 2023_12_29T19_30_13.746850
591
+ path:
592
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T19-30-13.746850.parquet'
593
+ - split: latest
594
+ path:
595
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T19-30-13.746850.parquet'
596
+ - config_name: harness_hendrycksTest_human_sexuality_5
597
+ data_files:
598
+ - split: 2023_12_29T19_30_13.746850
599
+ path:
600
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T19-30-13.746850.parquet'
601
+ - split: latest
602
+ path:
603
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T19-30-13.746850.parquet'
604
+ - config_name: harness_hendrycksTest_international_law_5
605
+ data_files:
606
+ - split: 2023_12_29T19_30_13.746850
607
+ path:
608
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T19-30-13.746850.parquet'
609
+ - split: latest
610
+ path:
611
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T19-30-13.746850.parquet'
612
+ - config_name: harness_hendrycksTest_jurisprudence_5
613
+ data_files:
614
+ - split: 2023_12_29T19_30_13.746850
615
+ path:
616
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T19-30-13.746850.parquet'
617
+ - split: latest
618
+ path:
619
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T19-30-13.746850.parquet'
620
+ - config_name: harness_hendrycksTest_logical_fallacies_5
621
+ data_files:
622
+ - split: 2023_12_29T19_30_13.746850
623
+ path:
624
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T19-30-13.746850.parquet'
625
+ - split: latest
626
+ path:
627
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T19-30-13.746850.parquet'
628
+ - config_name: harness_hendrycksTest_machine_learning_5
629
+ data_files:
630
+ - split: 2023_12_29T19_30_13.746850
631
+ path:
632
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T19-30-13.746850.parquet'
633
+ - split: latest
634
+ path:
635
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T19-30-13.746850.parquet'
636
+ - config_name: harness_hendrycksTest_management_5
637
+ data_files:
638
+ - split: 2023_12_29T19_30_13.746850
639
+ path:
640
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T19-30-13.746850.parquet'
641
+ - split: latest
642
+ path:
643
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T19-30-13.746850.parquet'
644
+ - config_name: harness_hendrycksTest_marketing_5
645
+ data_files:
646
+ - split: 2023_12_29T19_30_13.746850
647
+ path:
648
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T19-30-13.746850.parquet'
649
+ - split: latest
650
+ path:
651
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T19-30-13.746850.parquet'
652
+ - config_name: harness_hendrycksTest_medical_genetics_5
653
+ data_files:
654
+ - split: 2023_12_29T19_30_13.746850
655
+ path:
656
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T19-30-13.746850.parquet'
657
+ - split: latest
658
+ path:
659
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T19-30-13.746850.parquet'
660
+ - config_name: harness_hendrycksTest_miscellaneous_5
661
+ data_files:
662
+ - split: 2023_12_29T19_30_13.746850
663
+ path:
664
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T19-30-13.746850.parquet'
665
+ - split: latest
666
+ path:
667
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T19-30-13.746850.parquet'
668
+ - config_name: harness_hendrycksTest_moral_disputes_5
669
+ data_files:
670
+ - split: 2023_12_29T19_30_13.746850
671
+ path:
672
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T19-30-13.746850.parquet'
673
+ - split: latest
674
+ path:
675
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T19-30-13.746850.parquet'
676
+ - config_name: harness_hendrycksTest_moral_scenarios_5
677
+ data_files:
678
+ - split: 2023_12_29T19_30_13.746850
679
+ path:
680
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T19-30-13.746850.parquet'
681
+ - split: latest
682
+ path:
683
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T19-30-13.746850.parquet'
684
+ - config_name: harness_hendrycksTest_nutrition_5
685
+ data_files:
686
+ - split: 2023_12_29T19_30_13.746850
687
+ path:
688
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T19-30-13.746850.parquet'
689
+ - split: latest
690
+ path:
691
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T19-30-13.746850.parquet'
692
+ - config_name: harness_hendrycksTest_philosophy_5
693
+ data_files:
694
+ - split: 2023_12_29T19_30_13.746850
695
+ path:
696
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T19-30-13.746850.parquet'
697
+ - split: latest
698
+ path:
699
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T19-30-13.746850.parquet'
700
+ - config_name: harness_hendrycksTest_prehistory_5
701
+ data_files:
702
+ - split: 2023_12_29T19_30_13.746850
703
+ path:
704
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T19-30-13.746850.parquet'
705
+ - split: latest
706
+ path:
707
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T19-30-13.746850.parquet'
708
+ - config_name: harness_hendrycksTest_professional_accounting_5
709
+ data_files:
710
+ - split: 2023_12_29T19_30_13.746850
711
+ path:
712
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T19-30-13.746850.parquet'
713
+ - split: latest
714
+ path:
715
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T19-30-13.746850.parquet'
716
+ - config_name: harness_hendrycksTest_professional_law_5
717
+ data_files:
718
+ - split: 2023_12_29T19_30_13.746850
719
+ path:
720
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T19-30-13.746850.parquet'
721
+ - split: latest
722
+ path:
723
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T19-30-13.746850.parquet'
724
+ - config_name: harness_hendrycksTest_professional_medicine_5
725
+ data_files:
726
+ - split: 2023_12_29T19_30_13.746850
727
+ path:
728
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T19-30-13.746850.parquet'
729
+ - split: latest
730
+ path:
731
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T19-30-13.746850.parquet'
732
+ - config_name: harness_hendrycksTest_professional_psychology_5
733
+ data_files:
734
+ - split: 2023_12_29T19_30_13.746850
735
+ path:
736
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T19-30-13.746850.parquet'
737
+ - split: latest
738
+ path:
739
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T19-30-13.746850.parquet'
740
+ - config_name: harness_hendrycksTest_public_relations_5
741
+ data_files:
742
+ - split: 2023_12_29T19_30_13.746850
743
+ path:
744
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T19-30-13.746850.parquet'
745
+ - split: latest
746
+ path:
747
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T19-30-13.746850.parquet'
748
+ - config_name: harness_hendrycksTest_security_studies_5
749
+ data_files:
750
+ - split: 2023_12_29T19_30_13.746850
751
+ path:
752
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T19-30-13.746850.parquet'
753
+ - split: latest
754
+ path:
755
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T19-30-13.746850.parquet'
756
+ - config_name: harness_hendrycksTest_sociology_5
757
+ data_files:
758
+ - split: 2023_12_29T19_30_13.746850
759
+ path:
760
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T19-30-13.746850.parquet'
761
+ - split: latest
762
+ path:
763
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T19-30-13.746850.parquet'
764
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
765
+ data_files:
766
+ - split: 2023_12_29T19_30_13.746850
767
+ path:
768
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T19-30-13.746850.parquet'
769
+ - split: latest
770
+ path:
771
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T19-30-13.746850.parquet'
772
+ - config_name: harness_hendrycksTest_virology_5
773
+ data_files:
774
+ - split: 2023_12_29T19_30_13.746850
775
+ path:
776
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T19-30-13.746850.parquet'
777
+ - split: latest
778
+ path:
779
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T19-30-13.746850.parquet'
780
+ - config_name: harness_hendrycksTest_world_religions_5
781
+ data_files:
782
+ - split: 2023_12_29T19_30_13.746850
783
+ path:
784
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T19-30-13.746850.parquet'
785
+ - split: latest
786
+ path:
787
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T19-30-13.746850.parquet'
788
+ - config_name: harness_truthfulqa_mc_0
789
+ data_files:
790
+ - split: 2023_12_29T19_30_13.746850
791
+ path:
792
+ - '**/details_harness|truthfulqa:mc|0_2023-12-29T19-30-13.746850.parquet'
793
+ - split: latest
794
+ path:
795
+ - '**/details_harness|truthfulqa:mc|0_2023-12-29T19-30-13.746850.parquet'
796
+ - config_name: harness_winogrande_5
797
+ data_files:
798
+ - split: 2023_12_29T19_30_13.746850
799
+ path:
800
+ - '**/details_harness|winogrande|5_2023-12-29T19-30-13.746850.parquet'
801
+ - split: latest
802
+ path:
803
+ - '**/details_harness|winogrande|5_2023-12-29T19-30-13.746850.parquet'
804
+ - config_name: results
805
+ data_files:
806
+ - split: 2023_12_29T19_30_13.746850
807
+ path:
808
+ - results_2023-12-29T19-30-13.746850.parquet
809
+ - split: latest
810
+ path:
811
+ - results_2023-12-29T19-30-13.746850.parquet
812
+ ---
813
+
814
+ # Dataset Card for Evaluation run of Felladrin/Smol-Llama-101M-Chat-v1
815
+
816
+ <!-- Provide a quick summary of the dataset. -->
817
+
818
+ Dataset automatically created during the evaluation run of model [Felladrin/Smol-Llama-101M-Chat-v1](https://huggingface.co/Felladrin/Smol-Llama-101M-Chat-v1) 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_Felladrin__Smol-Llama-101M-Chat-v1",
830
+ "harness_winogrande_5",
831
+ split="train")
832
+ ```
833
+
834
+ ## Latest results
835
+
836
+ These are the [latest results from run 2023-12-29T19:30:13.746850](https://huggingface.co/datasets/open-llm-leaderboard/details_Felladrin__Smol-Llama-101M-Chat-v1/blob/main/results_2023-12-29T19-30-13.746850.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": 0.24875102412567496,
842
+ "acc_stderr": 0.030480837022125038,
843
+ "acc_norm": 0.24959862358168325,
844
+ "acc_norm_stderr": 0.03127898135128497,
845
+ "mc1": 0.26193390452876375,
846
+ "mc1_stderr": 0.015392118805015023,
847
+ "mc2": 0.45756971268130436,
848
+ "mc2_stderr": 0.015178620872901784
849
+ },
850
+ "harness|arc:challenge|25": {
851
+ "acc": 0.18686006825938567,
852
+ "acc_stderr": 0.011391015649694379,
853
+ "acc_norm": 0.22866894197952217,
854
+ "acc_norm_stderr": 0.012272853582540795
855
+ },
856
+ "harness|hellaswag|10": {
857
+ "acc": 0.27504481179047996,
858
+ "acc_stderr": 0.00445624260195063,
859
+ "acc_norm": 0.28689504082852024,
860
+ "acc_norm_stderr": 0.0045138774650621254
861
+ },
862
+ "harness|hendrycksTest-abstract_algebra|5": {
863
+ "acc": 0.21,
864
+ "acc_stderr": 0.040936018074033256,
865
+ "acc_norm": 0.21,
866
+ "acc_norm_stderr": 0.040936018074033256
867
+ },
868
+ "harness|hendrycksTest-anatomy|5": {
869
+ "acc": 0.3037037037037037,
870
+ "acc_stderr": 0.03972552884785137,
871
+ "acc_norm": 0.3037037037037037,
872
+ "acc_norm_stderr": 0.03972552884785137
873
+ },
874
+ "harness|hendrycksTest-astronomy|5": {
875
+ "acc": 0.23026315789473684,
876
+ "acc_stderr": 0.03426059424403165,
877
+ "acc_norm": 0.23026315789473684,
878
+ "acc_norm_stderr": 0.03426059424403165
879
+ },
880
+ "harness|hendrycksTest-business_ethics|5": {
881
+ "acc": 0.22,
882
+ "acc_stderr": 0.04163331998932268,
883
+ "acc_norm": 0.22,
884
+ "acc_norm_stderr": 0.04163331998932268
885
+ },
886
+ "harness|hendrycksTest-clinical_knowledge|5": {
887
+ "acc": 0.2188679245283019,
888
+ "acc_stderr": 0.025447863825108614,
889
+ "acc_norm": 0.2188679245283019,
890
+ "acc_norm_stderr": 0.025447863825108614
891
+ },
892
+ "harness|hendrycksTest-college_biology|5": {
893
+ "acc": 0.24305555555555555,
894
+ "acc_stderr": 0.03586879280080343,
895
+ "acc_norm": 0.24305555555555555,
896
+ "acc_norm_stderr": 0.03586879280080343
897
+ },
898
+ "harness|hendrycksTest-college_chemistry|5": {
899
+ "acc": 0.17,
900
+ "acc_stderr": 0.03775251680686371,
901
+ "acc_norm": 0.17,
902
+ "acc_norm_stderr": 0.03775251680686371
903
+ },
904
+ "harness|hendrycksTest-college_computer_science|5": {
905
+ "acc": 0.19,
906
+ "acc_stderr": 0.039427724440366234,
907
+ "acc_norm": 0.19,
908
+ "acc_norm_stderr": 0.039427724440366234
909
+ },
910
+ "harness|hendrycksTest-college_mathematics|5": {
911
+ "acc": 0.3,
912
+ "acc_stderr": 0.046056618647183814,
913
+ "acc_norm": 0.3,
914
+ "acc_norm_stderr": 0.046056618647183814
915
+ },
916
+ "harness|hendrycksTest-college_medicine|5": {
917
+ "acc": 0.21965317919075145,
918
+ "acc_stderr": 0.031568093627031744,
919
+ "acc_norm": 0.21965317919075145,
920
+ "acc_norm_stderr": 0.031568093627031744
921
+ },
922
+ "harness|hendrycksTest-college_physics|5": {
923
+ "acc": 0.22549019607843138,
924
+ "acc_stderr": 0.041583075330832865,
925
+ "acc_norm": 0.22549019607843138,
926
+ "acc_norm_stderr": 0.041583075330832865
927
+ },
928
+ "harness|hendrycksTest-computer_security|5": {
929
+ "acc": 0.29,
930
+ "acc_stderr": 0.04560480215720684,
931
+ "acc_norm": 0.29,
932
+ "acc_norm_stderr": 0.04560480215720684
933
+ },
934
+ "harness|hendrycksTest-conceptual_physics|5": {
935
+ "acc": 0.2425531914893617,
936
+ "acc_stderr": 0.028020226271200217,
937
+ "acc_norm": 0.2425531914893617,
938
+ "acc_norm_stderr": 0.028020226271200217
939
+ },
940
+ "harness|hendrycksTest-econometrics|5": {
941
+ "acc": 0.23684210526315788,
942
+ "acc_stderr": 0.03999423879281336,
943
+ "acc_norm": 0.23684210526315788,
944
+ "acc_norm_stderr": 0.03999423879281336
945
+ },
946
+ "harness|hendrycksTest-electrical_engineering|5": {
947
+ "acc": 0.23448275862068965,
948
+ "acc_stderr": 0.035306258743465914,
949
+ "acc_norm": 0.23448275862068965,
950
+ "acc_norm_stderr": 0.035306258743465914
951
+ },
952
+ "harness|hendrycksTest-elementary_mathematics|5": {
953
+ "acc": 0.23544973544973544,
954
+ "acc_stderr": 0.02185150982203172,
955
+ "acc_norm": 0.23544973544973544,
956
+ "acc_norm_stderr": 0.02185150982203172
957
+ },
958
+ "harness|hendrycksTest-formal_logic|5": {
959
+ "acc": 0.1984126984126984,
960
+ "acc_stderr": 0.03567016675276864,
961
+ "acc_norm": 0.1984126984126984,
962
+ "acc_norm_stderr": 0.03567016675276864
963
+ },
964
+ "harness|hendrycksTest-global_facts|5": {
965
+ "acc": 0.27,
966
+ "acc_stderr": 0.044619604333847394,
967
+ "acc_norm": 0.27,
968
+ "acc_norm_stderr": 0.044619604333847394
969
+ },
970
+ "harness|hendrycksTest-high_school_biology|5": {
971
+ "acc": 0.33225806451612905,
972
+ "acc_stderr": 0.02679556084812279,
973
+ "acc_norm": 0.33225806451612905,
974
+ "acc_norm_stderr": 0.02679556084812279
975
+ },
976
+ "harness|hendrycksTest-high_school_chemistry|5": {
977
+ "acc": 0.3054187192118227,
978
+ "acc_stderr": 0.03240661565868408,
979
+ "acc_norm": 0.3054187192118227,
980
+ "acc_norm_stderr": 0.03240661565868408
981
+ },
982
+ "harness|hendrycksTest-high_school_computer_science|5": {
983
+ "acc": 0.22,
984
+ "acc_stderr": 0.04163331998932269,
985
+ "acc_norm": 0.22,
986
+ "acc_norm_stderr": 0.04163331998932269
987
+ },
988
+ "harness|hendrycksTest-high_school_european_history|5": {
989
+ "acc": 0.24242424242424243,
990
+ "acc_stderr": 0.03346409881055953,
991
+ "acc_norm": 0.24242424242424243,
992
+ "acc_norm_stderr": 0.03346409881055953
993
+ },
994
+ "harness|hendrycksTest-high_school_geography|5": {
995
+ "acc": 0.23232323232323232,
996
+ "acc_stderr": 0.030088629490217487,
997
+ "acc_norm": 0.23232323232323232,
998
+ "acc_norm_stderr": 0.030088629490217487
999
+ },
1000
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1001
+ "acc": 0.27979274611398963,
1002
+ "acc_stderr": 0.032396370467357015,
1003
+ "acc_norm": 0.27979274611398963,
1004
+ "acc_norm_stderr": 0.032396370467357015
1005
+ },
1006
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1007
+ "acc": 0.258974358974359,
1008
+ "acc_stderr": 0.022211106810061672,
1009
+ "acc_norm": 0.258974358974359,
1010
+ "acc_norm_stderr": 0.022211106810061672
1011
+ },
1012
+ "harness|hendrycksTest-high_school_mathematics|5": {
1013
+ "acc": 0.26666666666666666,
1014
+ "acc_stderr": 0.026962424325073835,
1015
+ "acc_norm": 0.26666666666666666,
1016
+ "acc_norm_stderr": 0.026962424325073835
1017
+ },
1018
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1019
+ "acc": 0.31512605042016806,
1020
+ "acc_stderr": 0.030176808288974337,
1021
+ "acc_norm": 0.31512605042016806,
1022
+ "acc_norm_stderr": 0.030176808288974337
1023
+ },
1024
+ "harness|hendrycksTest-high_school_physics|5": {
1025
+ "acc": 0.2582781456953642,
1026
+ "acc_stderr": 0.035737053147634576,
1027
+ "acc_norm": 0.2582781456953642,
1028
+ "acc_norm_stderr": 0.035737053147634576
1029
+ },
1030
+ "harness|hendrycksTest-high_school_psychology|5": {
1031
+ "acc": 0.22385321100917432,
1032
+ "acc_stderr": 0.017871217767790222,
1033
+ "acc_norm": 0.22385321100917432,
1034
+ "acc_norm_stderr": 0.017871217767790222
1035
+ },
1036
+ "harness|hendrycksTest-high_school_statistics|5": {
1037
+ "acc": 0.4398148148148148,
1038
+ "acc_stderr": 0.03385177976044811,
1039
+ "acc_norm": 0.4398148148148148,
1040
+ "acc_norm_stderr": 0.03385177976044811
1041
+ },
1042
+ "harness|hendrycksTest-high_school_us_history|5": {
1043
+ "acc": 0.25,
1044
+ "acc_stderr": 0.03039153369274154,
1045
+ "acc_norm": 0.25,
1046
+ "acc_norm_stderr": 0.03039153369274154
1047
+ },
1048
+ "harness|hendrycksTest-high_school_world_history|5": {
1049
+ "acc": 0.25316455696202533,
1050
+ "acc_stderr": 0.02830465794303529,
1051
+ "acc_norm": 0.25316455696202533,
1052
+ "acc_norm_stderr": 0.02830465794303529
1053
+ },
1054
+ "harness|hendrycksTest-human_aging|5": {
1055
+ "acc": 0.21524663677130046,
1056
+ "acc_stderr": 0.02758406660220826,
1057
+ "acc_norm": 0.21524663677130046,
1058
+ "acc_norm_stderr": 0.02758406660220826
1059
+ },
1060
+ "harness|hendrycksTest-human_sexuality|5": {
1061
+ "acc": 0.19083969465648856,
1062
+ "acc_stderr": 0.034465133507525975,
1063
+ "acc_norm": 0.19083969465648856,
1064
+ "acc_norm_stderr": 0.034465133507525975
1065
+ },
1066
+ "harness|hendrycksTest-international_law|5": {
1067
+ "acc": 0.371900826446281,
1068
+ "acc_stderr": 0.044120158066245044,
1069
+ "acc_norm": 0.371900826446281,
1070
+ "acc_norm_stderr": 0.044120158066245044
1071
+ },
1072
+ "harness|hendrycksTest-jurisprudence|5": {
1073
+ "acc": 0.2222222222222222,
1074
+ "acc_stderr": 0.040191074725573483,
1075
+ "acc_norm": 0.2222222222222222,
1076
+ "acc_norm_stderr": 0.040191074725573483
1077
+ },
1078
+ "harness|hendrycksTest-logical_fallacies|5": {
1079
+ "acc": 0.2147239263803681,
1080
+ "acc_stderr": 0.03226219377286774,
1081
+ "acc_norm": 0.2147239263803681,
1082
+ "acc_norm_stderr": 0.03226219377286774
1083
+ },
1084
+ "harness|hendrycksTest-machine_learning|5": {
1085
+ "acc": 0.25892857142857145,
1086
+ "acc_stderr": 0.04157751539865629,
1087
+ "acc_norm": 0.25892857142857145,
1088
+ "acc_norm_stderr": 0.04157751539865629
1089
+ },
1090
+ "harness|hendrycksTest-management|5": {
1091
+ "acc": 0.21359223300970873,
1092
+ "acc_stderr": 0.040580420156460344,
1093
+ "acc_norm": 0.21359223300970873,
1094
+ "acc_norm_stderr": 0.040580420156460344
1095
+ },
1096
+ "harness|hendrycksTest-marketing|5": {
1097
+ "acc": 0.20512820512820512,
1098
+ "acc_stderr": 0.026453508054040325,
1099
+ "acc_norm": 0.20512820512820512,
1100
+ "acc_norm_stderr": 0.026453508054040325
1101
+ },
1102
+ "harness|hendrycksTest-medical_genetics|5": {
1103
+ "acc": 0.26,
1104
+ "acc_stderr": 0.04408440022768078,
1105
+ "acc_norm": 0.26,
1106
+ "acc_norm_stderr": 0.04408440022768078
1107
+ },
1108
+ "harness|hendrycksTest-miscellaneous|5": {
1109
+ "acc": 0.26436781609195403,
1110
+ "acc_stderr": 0.01576998484069052,
1111
+ "acc_norm": 0.26436781609195403,
1112
+ "acc_norm_stderr": 0.01576998484069052
1113
+ },
1114
+ "harness|hendrycksTest-moral_disputes|5": {
1115
+ "acc": 0.23699421965317918,
1116
+ "acc_stderr": 0.022894082489925992,
1117
+ "acc_norm": 0.23699421965317918,
1118
+ "acc_norm_stderr": 0.022894082489925992
1119
+ },
1120
+ "harness|hendrycksTest-moral_scenarios|5": {
1121
+ "acc": 0.24692737430167597,
1122
+ "acc_stderr": 0.014422292204808835,
1123
+ "acc_norm": 0.24692737430167597,
1124
+ "acc_norm_stderr": 0.014422292204808835
1125
+ },
1126
+ "harness|hendrycksTest-nutrition|5": {
1127
+ "acc": 0.23202614379084968,
1128
+ "acc_stderr": 0.02417084087934102,
1129
+ "acc_norm": 0.23202614379084968,
1130
+ "acc_norm_stderr": 0.02417084087934102
1131
+ },
1132
+ "harness|hendrycksTest-philosophy|5": {
1133
+ "acc": 0.28938906752411575,
1134
+ "acc_stderr": 0.025755865922632924,
1135
+ "acc_norm": 0.28938906752411575,
1136
+ "acc_norm_stderr": 0.025755865922632924
1137
+ },
1138
+ "harness|hendrycksTest-prehistory|5": {
1139
+ "acc": 0.26851851851851855,
1140
+ "acc_stderr": 0.02465968518596728,
1141
+ "acc_norm": 0.26851851851851855,
1142
+ "acc_norm_stderr": 0.02465968518596728
1143
+ },
1144
+ "harness|hendrycksTest-professional_accounting|5": {
1145
+ "acc": 0.26595744680851063,
1146
+ "acc_stderr": 0.026358065698880585,
1147
+ "acc_norm": 0.26595744680851063,
1148
+ "acc_norm_stderr": 0.026358065698880585
1149
+ },
1150
+ "harness|hendrycksTest-professional_law|5": {
1151
+ "acc": 0.2470664928292047,
1152
+ "acc_stderr": 0.011015752255279338,
1153
+ "acc_norm": 0.2470664928292047,
1154
+ "acc_norm_stderr": 0.011015752255279338
1155
+ },
1156
+ "harness|hendrycksTest-professional_medicine|5": {
1157
+ "acc": 0.28308823529411764,
1158
+ "acc_stderr": 0.02736586113151381,
1159
+ "acc_norm": 0.28308823529411764,
1160
+ "acc_norm_stderr": 0.02736586113151381
1161
+ },
1162
+ "harness|hendrycksTest-professional_psychology|5": {
1163
+ "acc": 0.26143790849673204,
1164
+ "acc_stderr": 0.017776947157528047,
1165
+ "acc_norm": 0.26143790849673204,
1166
+ "acc_norm_stderr": 0.017776947157528047
1167
+ },
1168
+ "harness|hendrycksTest-public_relations|5": {
1169
+ "acc": 0.17272727272727273,
1170
+ "acc_stderr": 0.036206918339292196,
1171
+ "acc_norm": 0.17272727272727273,
1172
+ "acc_norm_stderr": 0.036206918339292196
1173
+ },
1174
+ "harness|hendrycksTest-security_studies|5": {
1175
+ "acc": 0.32653061224489793,
1176
+ "acc_stderr": 0.030021056238440317,
1177
+ "acc_norm": 0.32653061224489793,
1178
+ "acc_norm_stderr": 0.030021056238440317
1179
+ },
1180
+ "harness|hendrycksTest-sociology|5": {
1181
+ "acc": 0.1890547263681592,
1182
+ "acc_stderr": 0.027686913588013024,
1183
+ "acc_norm": 0.1890547263681592,
1184
+ "acc_norm_stderr": 0.027686913588013024
1185
+ },
1186
+ "harness|hendrycksTest-us_foreign_policy|5": {
1187
+ "acc": 0.23,
1188
+ "acc_stderr": 0.04229525846816505,
1189
+ "acc_norm": 0.23,
1190
+ "acc_norm_stderr": 0.04229525846816505
1191
+ },
1192
+ "harness|hendrycksTest-virology|5": {
1193
+ "acc": 0.21084337349397592,
1194
+ "acc_stderr": 0.0317555478662992,
1195
+ "acc_norm": 0.21084337349397592,
1196
+ "acc_norm_stderr": 0.0317555478662992
1197
+ },
1198
+ "harness|hendrycksTest-world_religions|5": {
1199
+ "acc": 0.21637426900584794,
1200
+ "acc_stderr": 0.03158149539338734,
1201
+ "acc_norm": 0.21637426900584794,
1202
+ "acc_norm_stderr": 0.03158149539338734
1203
+ },
1204
+ "harness|truthfulqa:mc|0": {
1205
+ "mc1": 0.26193390452876375,
1206
+ "mc1_stderr": 0.015392118805015023,
1207
+ "mc2": 0.45756971268130436,
1208
+ "mc2_stderr": 0.015178620872901784
1209
+ },
1210
+ "harness|winogrande|5": {
1211
+ "acc": 0.500394632991318,
1212
+ "acc_stderr": 0.014052481306049512
1213
+ },
1214
+ "harness|gsm8k|5": {
1215
+ "acc": 0.000758150113722517,
1216
+ "acc_stderr": 0.0007581501137225172
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]