open-llm-leaderboard-old/details_OEvortex__HelpingAI-110M
收藏Hugging Face2024-03-10 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_OEvortex__HelpingAI-110M
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资源简介：
---
pretty_name: Evaluation run of OEvortex/HelpingAI-110M
dataset_summary: "Dataset automatically created during the evaluation run of model\
\ [OEvortex/HelpingAI-110M](https://huggingface.co/OEvortex/HelpingAI-110M) on the\
\ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
\ evaluated task.\n\nThe 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.\n\
\nAn 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)).\n\
\nTo load the details from a run, you can for instance do the following:\n```python\n\
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_OEvortex__HelpingAI-110M\"\
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
These are the [latest results from run 2024-03-10T15:49:59.362653](https://huggingface.co/datasets/open-llm-leaderboard/details_OEvortex__HelpingAI-110M/blob/main/results_2024-03-10T15-49-59.362653.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):\n\n```python\n{\n \"all\": {\n \"acc\": 0.23731668171739753,\n\
\ \"acc_stderr\": 0.03006408174110251,\n \"acc_norm\": 0.23714256037066517,\n\
\ \"acc_norm_stderr\": 0.03085442849124215,\n \"mc1\": 0.24724602203182375,\n\
\ \"mc1_stderr\": 0.015102404797359654,\n \"mc2\": 0.4825112031965409,\n\
\ \"mc2_stderr\": 0.01620968936835715\n },\n \"harness|arc:challenge|25\"\
: {\n \"acc\": 0.2022184300341297,\n \"acc_stderr\": 0.011737454431872105,\n\
\ \"acc_norm\": 0.22781569965870307,\n \"acc_norm_stderr\": 0.012256708602326919\n\
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.27454690300736906,\n\
\ \"acc_stderr\": 0.004453735900947837,\n \"acc_norm\": 0.2802230631348337,\n\
\ \"acc_norm_stderr\": 0.0044819026375056675\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
: {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932268,\n \
\ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932268\n \
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.17037037037037037,\n\
\ \"acc_stderr\": 0.032477811859955935,\n \"acc_norm\": 0.17037037037037037,\n\
\ \"acc_norm_stderr\": 0.032477811859955935\n },\n \"harness|hendrycksTest-astronomy|5\"\
: {\n \"acc\": 0.17763157894736842,\n \"acc_stderr\": 0.031103182383123398,\n\
\ \"acc_norm\": 0.17763157894736842,\n \"acc_norm_stderr\": 0.031103182383123398\n\
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.26,\n\
\ \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.26,\n \
\ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
: {\n \"acc\": 0.19622641509433963,\n \"acc_stderr\": 0.024442388131100844,\n\
\ \"acc_norm\": 0.19622641509433963,\n \"acc_norm_stderr\": 0.024442388131100844\n\
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.20833333333333334,\n\
\ \"acc_stderr\": 0.033961162058453336,\n \"acc_norm\": 0.20833333333333334,\n\
\ \"acc_norm_stderr\": 0.033961162058453336\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
: {\n \"acc\": 0.23,\n \"acc_stderr\": 0.042295258468165085,\n \
\ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.042295258468165085\n \
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\"\
: 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
: {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \
\ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816505\n \
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.20809248554913296,\n\
\ \"acc_stderr\": 0.030952890217749874,\n \"acc_norm\": 0.20809248554913296,\n\
\ \"acc_norm_stderr\": 0.030952890217749874\n },\n \"harness|hendrycksTest-college_physics|5\"\
: {\n \"acc\": 0.18627450980392157,\n \"acc_stderr\": 0.03873958714149353,\n\
\ \"acc_norm\": 0.18627450980392157,\n \"acc_norm_stderr\": 0.03873958714149353\n\
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
\ 0.18,\n \"acc_stderr\": 0.03861229196653697,\n \"acc_norm\": 0.18,\n\
\ \"acc_norm_stderr\": 0.03861229196653697\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
: {\n \"acc\": 0.2680851063829787,\n \"acc_stderr\": 0.02895734278834235,\n\
\ \"acc_norm\": 0.2680851063829787,\n \"acc_norm_stderr\": 0.02895734278834235\n\
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.24561403508771928,\n\
\ \"acc_stderr\": 0.0404933929774814,\n \"acc_norm\": 0.24561403508771928,\n\
\ \"acc_norm_stderr\": 0.0404933929774814\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
: {\n \"acc\": 0.2827586206896552,\n \"acc_stderr\": 0.03752833958003337,\n\
\ \"acc_norm\": 0.2827586206896552,\n \"acc_norm_stderr\": 0.03752833958003337\n\
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
: 0.25925925925925924,\n \"acc_stderr\": 0.022569897074918407,\n \"\
acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.022569897074918407\n\
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2222222222222222,\n\
\ \"acc_stderr\": 0.037184890068181146,\n \"acc_norm\": 0.2222222222222222,\n\
\ \"acc_norm_stderr\": 0.037184890068181146\n },\n \"harness|hendrycksTest-global_facts|5\"\
: {\n \"acc\": 0.18,\n \"acc_stderr\": 0.038612291966536934,\n \
\ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.038612291966536934\n \
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
: 0.3,\n \"acc_stderr\": 0.026069362295335137,\n \"acc_norm\": 0.3,\n\
\ \"acc_norm_stderr\": 0.026069362295335137\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
: {\n \"acc\": 0.22167487684729065,\n \"acc_stderr\": 0.0292255758924896,\n\
\ \"acc_norm\": 0.22167487684729065,\n \"acc_norm_stderr\": 0.0292255758924896\n\
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
\ \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036846,\n \"acc_norm\"\
: 0.2,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
: {\n \"acc\": 0.21818181818181817,\n \"acc_stderr\": 0.03225078108306289,\n\
\ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03225078108306289\n\
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
: 0.21212121212121213,\n \"acc_stderr\": 0.029126522834586825,\n \"\
acc_norm\": 0.21212121212121213,\n \"acc_norm_stderr\": 0.029126522834586825\n\
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
\ \"acc\": 0.19689119170984457,\n \"acc_stderr\": 0.028697873971860674,\n\
\ \"acc_norm\": 0.19689119170984457,\n \"acc_norm_stderr\": 0.028697873971860674\n\
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
\ \"acc\": 0.2128205128205128,\n \"acc_stderr\": 0.020752423722128002,\n\
\ \"acc_norm\": 0.2128205128205128,\n \"acc_norm_stderr\": 0.020752423722128002\n\
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
acc\": 0.25925925925925924,\n \"acc_stderr\": 0.026719240783712163,\n \
\ \"acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.026719240783712163\n\
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
\ \"acc\": 0.20168067226890757,\n \"acc_stderr\": 0.026064313406304523,\n\
\ \"acc_norm\": 0.20168067226890757,\n \"acc_norm_stderr\": 0.026064313406304523\n\
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
: 0.24503311258278146,\n \"acc_stderr\": 0.035118075718047245,\n \"\
acc_norm\": 0.24503311258278146,\n \"acc_norm_stderr\": 0.035118075718047245\n\
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
: 0.1908256880733945,\n \"acc_stderr\": 0.016847676400091112,\n \"\
acc_norm\": 0.1908256880733945,\n \"acc_norm_stderr\": 0.016847676400091112\n\
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
: 0.39814814814814814,\n \"acc_stderr\": 0.033384734032074016,\n \"\
acc_norm\": 0.39814814814814814,\n \"acc_norm_stderr\": 0.033384734032074016\n\
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
: 0.25,\n \"acc_stderr\": 0.03039153369274154,\n \"acc_norm\": 0.25,\n\
\ \"acc_norm_stderr\": 0.03039153369274154\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
: {\n \"acc\": 0.2742616033755274,\n \"acc_stderr\": 0.02904133351059804,\n\
\ \"acc_norm\": 0.2742616033755274,\n \"acc_norm_stderr\": 0.02904133351059804\n\
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3183856502242152,\n\
\ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.3183856502242152,\n\
\ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
: {\n \"acc\": 0.2595419847328244,\n \"acc_stderr\": 0.03844876139785271,\n\
\ \"acc_norm\": 0.2595419847328244,\n \"acc_norm_stderr\": 0.03844876139785271\n\
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
\ 0.24793388429752067,\n \"acc_stderr\": 0.03941897526516302,\n \"\
acc_norm\": 0.24793388429752067,\n \"acc_norm_stderr\": 0.03941897526516302\n\
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.2222222222222222,\n\
\ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.2222222222222222,\n\
\ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
: {\n \"acc\": 0.24539877300613497,\n \"acc_stderr\": 0.03380939813943354,\n\
\ \"acc_norm\": 0.24539877300613497,\n \"acc_norm_stderr\": 0.03380939813943354\n\
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2767857142857143,\n\
\ \"acc_stderr\": 0.042466243366976256,\n \"acc_norm\": 0.2767857142857143,\n\
\ \"acc_norm_stderr\": 0.042466243366976256\n },\n \"harness|hendrycksTest-management|5\"\
: {\n \"acc\": 0.17475728155339806,\n \"acc_stderr\": 0.037601780060266224,\n\
\ \"acc_norm\": 0.17475728155339806,\n \"acc_norm_stderr\": 0.037601780060266224\n\
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.19230769230769232,\n\
\ \"acc_stderr\": 0.025819233256483717,\n \"acc_norm\": 0.19230769230769232,\n\
\ \"acc_norm_stderr\": 0.025819233256483717\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2388250319284802,\n\
\ \"acc_stderr\": 0.015246803197398687,\n \"acc_norm\": 0.2388250319284802,\n\
\ \"acc_norm_stderr\": 0.015246803197398687\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
: {\n \"acc\": 0.24566473988439305,\n \"acc_stderr\": 0.02317629820399201,\n\
\ \"acc_norm\": 0.24566473988439305,\n \"acc_norm_stderr\": 0.02317629820399201\n\
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23798882681564246,\n\
\ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\
\ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness|hendrycksTest-nutrition|5\"\
: {\n \"acc\": 0.20915032679738563,\n \"acc_stderr\": 0.023287685312334806,\n\
\ \"acc_norm\": 0.20915032679738563,\n \"acc_norm_stderr\": 0.023287685312334806\n\
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.1832797427652733,\n\
\ \"acc_stderr\": 0.02197419884826581,\n \"acc_norm\": 0.1832797427652733,\n\
\ \"acc_norm_stderr\": 0.02197419884826581\n },\n \"harness|hendrycksTest-prehistory|5\"\
: {\n \"acc\": 0.21604938271604937,\n \"acc_stderr\": 0.022899162918445806,\n\
\ \"acc_norm\": 0.21604938271604937,\n \"acc_norm_stderr\": 0.022899162918445806\n\
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
acc\": 0.22340425531914893,\n \"acc_stderr\": 0.02484792135806396,\n \
\ \"acc_norm\": 0.22340425531914893,\n \"acc_norm_stderr\": 0.02484792135806396\n\
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.242503259452412,\n\
\ \"acc_stderr\": 0.010946570966348787,\n \"acc_norm\": 0.242503259452412,\n\
\ \"acc_norm_stderr\": 0.010946570966348787\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
: {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.02456220431414232,\n\
\ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.02456220431414232\n\
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
acc\": 0.25,\n \"acc_stderr\": 0.01751781884501444,\n \"acc_norm\"\
: 0.25,\n \"acc_norm_stderr\": 0.01751781884501444\n },\n \"harness|hendrycksTest-public_relations|5\"\
: {\n \"acc\": 0.24545454545454545,\n \"acc_stderr\": 0.04122066502878285,\n\
\ \"acc_norm\": 0.24545454545454545,\n \"acc_norm_stderr\": 0.04122066502878285\n\
\ },\n \"harness|hendrycksTest-security_studies|5\": {\n \"acc\": 0.19183673469387755,\n\
\ \"acc_stderr\": 0.025206963154225395,\n \"acc_norm\": 0.19183673469387755,\n\
\ \"acc_norm_stderr\": 0.025206963154225395\n },\n \"harness|hendrycksTest-sociology|5\"\
: {\n \"acc\": 0.22885572139303484,\n \"acc_stderr\": 0.029705284056772436,\n\
\ \"acc_norm\": 0.22885572139303484,\n \"acc_norm_stderr\": 0.029705284056772436\n\
\ },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\":\
\ 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\": 0.32,\n\
\ \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-virology|5\"\
: {\n \"acc\": 0.28313253012048195,\n \"acc_stderr\": 0.03507295431370518,\n\
\ \"acc_norm\": 0.28313253012048195,\n \"acc_norm_stderr\": 0.03507295431370518\n\
\ },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.2982456140350877,\n\
\ \"acc_stderr\": 0.03508771929824563,\n \"acc_norm\": 0.2982456140350877,\n\
\ \"acc_norm_stderr\": 0.03508771929824563\n },\n \"harness|truthfulqa:mc|0\"\
: {\n \"mc1\": 0.24724602203182375,\n \"mc1_stderr\": 0.015102404797359654,\n\
\ \"mc2\": 0.4825112031965409,\n \"mc2_stderr\": 0.01620968936835715\n\
\ },\n \"harness|winogrande|5\": {\n \"acc\": 0.516179952644041,\n\
\ \"acc_stderr\": 0.014045126130978601\n },\n \"harness|gsm8k|5\":\
\ {\n \"acc\": 0.0,\n \"acc_stderr\": 0.0\n }\n}\n```"
repo_url: https://huggingface.co/OEvortex/HelpingAI-110M
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
point_of_contact: clementine@hf.co
configs:
- config_name: harness_arc_challenge_25
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|arc:challenge|25_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|arc:challenge|25_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_gsm8k_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|gsm8k|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|gsm8k|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hellaswag_10
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hellaswag|10_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hellaswag|10_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-international_law|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-management|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-marketing|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-sociology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-virology|5_2024-03-10T15-49-59.362653.parquet'
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_abstract_algebra_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_anatomy_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_astronomy_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_business_ethics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_clinical_knowledge_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_college_biology_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_college_chemistry_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_college_computer_science_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_college_mathematics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_college_medicine_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_college_physics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_computer_security_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_conceptual_physics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_econometrics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_electrical_engineering_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_elementary_mathematics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_formal_logic_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_global_facts_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_biology_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_chemistry_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_computer_science_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_european_history_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_geography_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_mathematics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_microeconomics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_physics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_psychology_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_statistics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_us_history_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_high_school_world_history_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_human_aging_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_human_sexuality_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_international_law_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-international_law|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_jurisprudence_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_logical_fallacies_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_machine_learning_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_management_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-management|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_marketing_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-marketing|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_medical_genetics_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_miscellaneous_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_moral_disputes_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_moral_scenarios_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_nutrition_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_philosophy_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_prehistory_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_professional_accounting_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_professional_law_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_professional_medicine_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_professional_psychology_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_public_relations_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_security_studies_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_sociology_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-sociology|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_us_foreign_policy_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_virology_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-virology|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_hendrycksTest_world_religions_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_truthfulqa_mc_0
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|truthfulqa:mc|0_2024-03-10T15-49-59.362653.parquet'
- config_name: harness_winogrande_5
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- '**/details_harness|winogrande|5_2024-03-10T15-49-59.362653.parquet'
- split: latest
path:
- '**/details_harness|winogrande|5_2024-03-10T15-49-59.362653.parquet'
- config_name: results
data_files:
- split: 2024_03_10T15_49_59.362653
path:
- results_2024-03-10T15-49-59.362653.parquet
- split: latest
path:
- results_2024-03-10T15-49-59.362653.parquet
---
# Dataset Card for Evaluation run of OEvortex/HelpingAI-110M
<!-- Provide a quick summary of the dataset. -->
Dataset automatically created during the evaluation run of model [OEvortex/HelpingAI-110M](https://huggingface.co/OEvortex/HelpingAI-110M) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
To load the details from a run, you can for instance do the following:
```python
from datasets import load_dataset
data = load_dataset("open-llm-leaderboard/details_OEvortex__HelpingAI-110M",
"harness_winogrande_5",
split="train")
```
## Latest results
These are the [latest results from run 2024-03-10T15:49:59.362653](https://huggingface.co/datasets/open-llm-leaderboard/details_OEvortex__HelpingAI-110M/blob/main/results_2024-03-10T15-49-59.362653.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
```python
{
"all": {
"acc": 0.23731668171739753,
"acc_stderr": 0.03006408174110251,
"acc_norm": 0.23714256037066517,
"acc_norm_stderr": 0.03085442849124215,
"mc1": 0.24724602203182375,
"mc1_stderr": 0.015102404797359654,
"mc2": 0.4825112031965409,
"mc2_stderr": 0.01620968936835715
},
"harness|arc:challenge|25": {
"acc": 0.2022184300341297,
"acc_stderr": 0.011737454431872105,
"acc_norm": 0.22781569965870307,
"acc_norm_stderr": 0.012256708602326919
},
"harness|hellaswag|10": {
"acc": 0.27454690300736906,
"acc_stderr": 0.004453735900947837,
"acc_norm": 0.2802230631348337,
"acc_norm_stderr": 0.0044819026375056675
},
"harness|hendrycksTest-abstract_algebra|5": {
"acc": 0.22,
"acc_stderr": 0.04163331998932268,
"acc_norm": 0.22,
"acc_norm_stderr": 0.04163331998932268
},
"harness|hendrycksTest-anatomy|5": {
"acc": 0.17037037037037037,
"acc_stderr": 0.032477811859955935,
"acc_norm": 0.17037037037037037,
"acc_norm_stderr": 0.032477811859955935
},
"harness|hendrycksTest-astronomy|5": {
"acc": 0.17763157894736842,
"acc_stderr": 0.031103182383123398,
"acc_norm": 0.17763157894736842,
"acc_norm_stderr": 0.031103182383123398
},
"harness|hendrycksTest-business_ethics|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768078,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768078
},
"harness|hendrycksTest-clinical_knowledge|5": {
"acc": 0.19622641509433963,
"acc_stderr": 0.024442388131100844,
"acc_norm": 0.19622641509433963,
"acc_norm_stderr": 0.024442388131100844
},
"harness|hendrycksTest-college_biology|5": {
"acc": 0.20833333333333334,
"acc_stderr": 0.033961162058453336,
"acc_norm": 0.20833333333333334,
"acc_norm_stderr": 0.033961162058453336
},
"harness|hendrycksTest-college_chemistry|5": {
"acc": 0.23,
"acc_stderr": 0.042295258468165085,
"acc_norm": 0.23,
"acc_norm_stderr": 0.042295258468165085
},
"harness|hendrycksTest-college_computer_science|5": {
"acc": 0.32,
"acc_stderr": 0.046882617226215034,
"acc_norm": 0.32,
"acc_norm_stderr": 0.046882617226215034
},
"harness|hendrycksTest-college_mathematics|5": {
"acc": 0.23,
"acc_stderr": 0.04229525846816505,
"acc_norm": 0.23,
"acc_norm_stderr": 0.04229525846816505
},
"harness|hendrycksTest-college_medicine|5": {
"acc": 0.20809248554913296,
"acc_stderr": 0.030952890217749874,
"acc_norm": 0.20809248554913296,
"acc_norm_stderr": 0.030952890217749874
},
"harness|hendrycksTest-college_physics|5": {
"acc": 0.18627450980392157,
"acc_stderr": 0.03873958714149353,
"acc_norm": 0.18627450980392157,
"acc_norm_stderr": 0.03873958714149353
},
"harness|hendrycksTest-computer_security|5": {
"acc": 0.18,
"acc_stderr": 0.03861229196653697,
"acc_norm": 0.18,
"acc_norm_stderr": 0.03861229196653697
},
"harness|hendrycksTest-conceptual_physics|5": {
"acc": 0.2680851063829787,
"acc_stderr": 0.02895734278834235,
"acc_norm": 0.2680851063829787,
"acc_norm_stderr": 0.02895734278834235
},
"harness|hendrycksTest-econometrics|5": {
"acc": 0.24561403508771928,
"acc_stderr": 0.0404933929774814,
"acc_norm": 0.24561403508771928,
"acc_norm_stderr": 0.0404933929774814
},
"harness|hendrycksTest-electrical_engineering|5": {
"acc": 0.2827586206896552,
"acc_stderr": 0.03752833958003337,
"acc_norm": 0.2827586206896552,
"acc_norm_stderr": 0.03752833958003337
},
"harness|hendrycksTest-elementary_mathematics|5": {
"acc": 0.25925925925925924,
"acc_stderr": 0.022569897074918407,
"acc_norm": 0.25925925925925924,
"acc_norm_stderr": 0.022569897074918407
},
"harness|hendrycksTest-formal_logic|5": {
"acc": 0.2222222222222222,
"acc_stderr": 0.037184890068181146,
"acc_norm": 0.2222222222222222,
"acc_norm_stderr": 0.037184890068181146
},
"harness|hendrycksTest-global_facts|5": {
"acc": 0.18,
"acc_stderr": 0.038612291966536934,
"acc_norm": 0.18,
"acc_norm_stderr": 0.038612291966536934
},
"harness|hendrycksTest-high_school_biology|5": {
"acc": 0.3,
"acc_stderr": 0.026069362295335137,
"acc_norm": 0.3,
"acc_norm_stderr": 0.026069362295335137
},
"harness|hendrycksTest-high_school_chemistry|5": {
"acc": 0.22167487684729065,
"acc_stderr": 0.0292255758924896,
"acc_norm": 0.22167487684729065,
"acc_norm_stderr": 0.0292255758924896
},
"harness|hendrycksTest-high_school_computer_science|5": {
"acc": 0.2,
"acc_stderr": 0.04020151261036846,
"acc_norm": 0.2,
"acc_norm_stderr": 0.04020151261036846
},
"harness|hendrycksTest-high_school_european_history|5": {
"acc": 0.21818181818181817,
"acc_stderr": 0.03225078108306289,
"acc_norm": 0.21818181818181817,
"acc_norm_stderr": 0.03225078108306289
},
"harness|hendrycksTest-high_school_geography|5": {
"acc": 0.21212121212121213,
"acc_stderr": 0.029126522834586825,
"acc_norm": 0.21212121212121213,
"acc_norm_stderr": 0.029126522834586825
},
"harness|hendrycksTest-high_school_government_and_politics|5": {
"acc": 0.19689119170984457,
"acc_stderr": 0.028697873971860674,
"acc_norm": 0.19689119170984457,
"acc_norm_stderr": 0.028697873971860674
},
"harness|hendrycksTest-high_school_macroeconomics|5": {
"acc": 0.2128205128205128,
"acc_stderr": 0.020752423722128002,
"acc_norm": 0.2128205128205128,
"acc_norm_stderr": 0.020752423722128002
},
"harness|hendrycksTest-high_school_mathematics|5": {
"acc": 0.25925925925925924,
"acc_stderr": 0.026719240783712163,
"acc_norm": 0.25925925925925924,
"acc_norm_stderr": 0.026719240783712163
},
"harness|hendrycksTest-high_school_microeconomics|5": {
"acc": 0.20168067226890757,
"acc_stderr": 0.026064313406304523,
"acc_norm": 0.20168067226890757,
"acc_norm_stderr": 0.026064313406304523
},
"harness|hendrycksTest-high_school_physics|5": {
"acc": 0.24503311258278146,
"acc_stderr": 0.035118075718047245,
"acc_norm": 0.24503311258278146,
"acc_norm_stderr": 0.035118075718047245
},
"harness|hendrycksTest-high_school_psychology|5": {
"acc": 0.1908256880733945,
"acc_stderr": 0.016847676400091112,
"acc_norm": 0.1908256880733945,
"acc_norm_stderr": 0.016847676400091112
},
"harness|hendrycksTest-high_school_statistics|5": {
"acc": 0.39814814814814814,
"acc_stderr": 0.033384734032074016,
"acc_norm": 0.39814814814814814,
"acc_norm_stderr": 0.033384734032074016
},
"harness|hendrycksTest-high_school_us_history|5": {
"acc": 0.25,
"acc_stderr": 0.03039153369274154,
"acc_norm": 0.25,
"acc_norm_stderr": 0.03039153369274154
},
"harness|hendrycksTest-high_school_world_history|5": {
"acc": 0.2742616033755274,
"acc_stderr": 0.02904133351059804,
"acc_norm": 0.2742616033755274,
"acc_norm_stderr": 0.02904133351059804
},
"harness|hendrycksTest-human_aging|5": {
"acc": 0.3183856502242152,
"acc_stderr": 0.03126580522513713,
"acc_norm": 0.3183856502242152,
"acc_norm_stderr": 0.03126580522513713
},
"harness|hendrycksTest-human_sexuality|5": {
"acc": 0.2595419847328244,
"acc_stderr": 0.03844876139785271,
"acc_norm": 0.2595419847328244,
"acc_norm_stderr": 0.03844876139785271
},
"harness|hendrycksTest-international_law|5": {
"acc": 0.24793388429752067,
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"acc_norm": 0.24793388429752067,
"acc_norm_stderr": 0.03941897526516302
},
"harness|hendrycksTest-jurisprudence|5": {
"acc": 0.2222222222222222,
"acc_stderr": 0.040191074725573483,
"acc_norm": 0.2222222222222222,
"acc_norm_stderr": 0.040191074725573483
},
"harness|hendrycksTest-logical_fallacies|5": {
"acc": 0.24539877300613497,
"acc_stderr": 0.03380939813943354,
"acc_norm": 0.24539877300613497,
"acc_norm_stderr": 0.03380939813943354
},
"harness|hendrycksTest-machine_learning|5": {
"acc": 0.2767857142857143,
"acc_stderr": 0.042466243366976256,
"acc_norm": 0.2767857142857143,
"acc_norm_stderr": 0.042466243366976256
},
"harness|hendrycksTest-management|5": {
"acc": 0.17475728155339806,
"acc_stderr": 0.037601780060266224,
"acc_norm": 0.17475728155339806,
"acc_norm_stderr": 0.037601780060266224
},
"harness|hendrycksTest-marketing|5": {
"acc": 0.19230769230769232,
"acc_stderr": 0.025819233256483717,
"acc_norm": 0.19230769230769232,
"acc_norm_stderr": 0.025819233256483717
},
"harness|hendrycksTest-medical_genetics|5": {
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"acc_norm": 0.3,
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},
"harness|hendrycksTest-miscellaneous|5": {
"acc": 0.2388250319284802,
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"acc_norm": 0.2388250319284802,
"acc_norm_stderr": 0.015246803197398687
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"harness|hendrycksTest-moral_disputes|5": {
"acc": 0.24566473988439305,
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"acc_norm": 0.24566473988439305,
"acc_norm_stderr": 0.02317629820399201
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"harness|hendrycksTest-moral_scenarios|5": {
"acc": 0.23798882681564246,
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"acc_norm": 0.23798882681564246,
"acc_norm_stderr": 0.014242630070574915
},
"harness|hendrycksTest-nutrition|5": {
"acc": 0.20915032679738563,
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"acc_norm": 0.20915032679738563,
"acc_norm_stderr": 0.023287685312334806
},
"harness|hendrycksTest-philosophy|5": {
"acc": 0.1832797427652733,
"acc_stderr": 0.02197419884826581,
"acc_norm": 0.1832797427652733,
"acc_norm_stderr": 0.02197419884826581
},
"harness|hendrycksTest-prehistory|5": {
"acc": 0.21604938271604937,
"acc_stderr": 0.022899162918445806,
"acc_norm": 0.21604938271604937,
"acc_norm_stderr": 0.022899162918445806
},
"harness|hendrycksTest-professional_accounting|5": {
"acc": 0.22340425531914893,
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"acc_norm": 0.22340425531914893,
"acc_norm_stderr": 0.02484792135806396
},
"harness|hendrycksTest-professional_law|5": {
"acc": 0.242503259452412,
"acc_stderr": 0.010946570966348787,
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"harness|hendrycksTest-professional_medicine|5": {
"acc": 0.20588235294117646,
"acc_stderr": 0.02456220431414232,
"acc_norm": 0.20588235294117646,
"acc_norm_stderr": 0.02456220431414232
},
"harness|hendrycksTest-professional_psychology|5": {
"acc": 0.25,
"acc_stderr": 0.01751781884501444,
"acc_norm": 0.25,
"acc_norm_stderr": 0.01751781884501444
},
"harness|hendrycksTest-public_relations|5": {
"acc": 0.24545454545454545,
"acc_stderr": 0.04122066502878285,
"acc_norm": 0.24545454545454545,
"acc_norm_stderr": 0.04122066502878285
},
"harness|hendrycksTest-security_studies|5": {
"acc": 0.19183673469387755,
"acc_stderr": 0.025206963154225395,
"acc_norm": 0.19183673469387755,
"acc_norm_stderr": 0.025206963154225395
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"harness|hendrycksTest-sociology|5": {
"acc": 0.22885572139303484,
"acc_stderr": 0.029705284056772436,
"acc_norm": 0.22885572139303484,
"acc_norm_stderr": 0.029705284056772436
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"harness|hendrycksTest-us_foreign_policy|5": {
"acc": 0.32,
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"acc_norm": 0.32,
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"harness|hendrycksTest-virology|5": {
"acc": 0.28313253012048195,
"acc_stderr": 0.03507295431370518,
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"harness|hendrycksTest-world_religions|5": {
"acc": 0.2982456140350877,
"acc_stderr": 0.03508771929824563,
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"harness|truthfulqa:mc|0": {
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"mc2": 0.4825112031965409,
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},
"harness|winogrande|5": {
"acc": 0.516179952644041,
"acc_stderr": 0.014045126130978601
},
"harness|gsm8k|5": {
"acc": 0.0,
"acc_stderr": 0.0
}
}
```
## Dataset Details
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原始信息汇总
数据集概述
该数据集是在模型 OEvortex/HelpingAI-110M 在 Open LLM Leaderboard 上的评估运行期间自动创建的。
数据集组成
- 数据集由 63 个配置组成，每个配置对应一个评估任务。
- 数据集从 1 次运行中创建，每个运行可以在每个配置中作为一个特定的分割找到，分割名称使用运行的时间戳。
- "train" 分割总是指向最新的结果。
- 一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示 Open LLM Leaderboard 上的聚合指标。
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_OEvortex__HelpingAI-110M", "harness_winogrande_5", split="train")
最新结果
以下是 2024-03-10T15:49:59.362653 运行的最新结果：
python { "all": { "acc": 0.23731668171739753, "acc_stderr": 0.03006408174110251, "acc_norm": 0.23714256037066517, "acc_norm_stderr": 0.03085442849124215, "mc1": 0.24724602203182375, "mc1_stderr": 0.015102404797359654, "mc2": 0.4825112031965409, "mc2_stderr": 0.01620968936835715 }, "harness|arc:challenge|25": { "acc": 0.2022184300341297, "acc_stderr": 0.011737454431872105, "acc_norm": 0.22781569965870307, "acc_norm_stderr": 0.012256708602326919 }, "harness|hellaswag|10": { "acc": 0.27454690300736906, "acc_stderr": 0.004453735900947837, "acc_norm": 0.2802230631348337, "acc_norm_stderr": 0.0044819026375056675 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.17037037037037037, "acc_stderr": 0.032477811859955935, "acc_norm": 0.17037037037037037, "acc_norm_stderr": 0.032477811859955935 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.19622641509433963, "acc_stderr": 0.024442388131100844, "acc_norm": 0.19622641509433963, "acc_norm_stderr": 0.024442388131100844 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.20833333333333334, "acc_stderr": 0.033961162058453336, "acc_norm": 0.20833333333333334, "acc_norm_stderr": 0.033961162058453336 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.23, "acc_stderr": 0.042295258468165085, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165085 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.20809248554913296, "acc_stderr": 0.030952890217749874, "acc_norm": 0.20809248554913296, "acc_norm_stderr": 0.030952890217749874 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149353, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149353 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.18, "acc_stderr": 0.03861229196653697, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653697 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2680851063829787, "acc_stderr": 0.02895734278834235, "acc_norm": 0.2680851063829787, "acc_norm_stderr": 0.02895734278834235 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.24561403508771928, "acc_stderr": 0.0404933929774814, "acc_norm": 0.24561403508771928, "acc_norm_stderr": 0.0404933929774814 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2827586206896552, "acc_stderr": 0.03752833958003337, "acc_norm": 0.2827586206896552, "acc_norm_stderr": 0.03752833958003337 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.022569897074918407, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.022569897074918407 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2222222222222222, "acc_stderr": 0.037184890068181146, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.037184890068181146 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.18, "acc_stderr": 0.038612291966536934, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536934 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3, "acc_stderr": 0.026069362295335137, "acc_norm": 0.3, "acc_norm_stderr": 0.026069362295335137 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22167487684729065, "acc_stderr": 0.0292255758924896, "acc_norm": 0.22167487684729065, "acc_norm_stderr": 0.0292255758924896 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.21818181818181817, "acc_stderr": 0.03225078108306289, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21212121212121213, "acc_stderr": 0.029126522834586825, "acc_norm": 0.21212121212121213, "acc_norm_stderr": 0.029126522834586825 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.19689119170984457, "acc_stderr": 0.028697873971860674, "acc_norm": 0.19689119170984457, "acc_norm_stderr": 0.028697873971860674 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2128205128205128, "acc_stderr": 0.020752423722128002, "acc_norm": 0.2128205128205128, "acc_norm_stderr": 0.020752423722128002 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.026719240783712163, "acc_norm": 0.25925925925925924, "acc_norm_stderr":
搜集汇总
数据集介绍
构建方式
在大规模语言模型评估领域，Open LLM Leaderboard 作为权威基准平台，其评估运行数据被系统化地组织为结构化数据集。该数据集针对 OEvortex/HelpingAI-110M 模型在单一评估轮次（时间戳为 2024-03-10T15:49:59.362653）中的表现进行采集，共涵盖 63 个配置项，每个配置对应一项具体评估任务。所有评估细节以 Parquet 格式存储，并依据任务名称和时间戳进行文件命名与归档。数据集内部为每个配置设立了以运行时间戳命名的分割（split），同时设立“latest”分割指向最新结果，另设“results”配置用于聚合所有任务的汇总指标，为后续性能分析与可视化提供结构化数据基础。
使用方法
研究者可通过 Hugging Face Datasets 库便捷地加载该数据集进行深入分析。具体而言，利用 `load_dataset` 函数指定数据集名称与目标配置（如 `harness_winogrande_5`），并选择所需的分割（如 `train` 或时间戳命名的分割），即可获取对应任务的详细评估数据。加载后的数据以标准的 Parquet 表格形式呈现，包含准确率（acc）、标准化准确率（acc_norm）及其标准误差等关键指标。这种模块化的访问方式允许用户灵活地针对单一任务进行微观分析，或通过遍历所有配置实现宏观性能评价，为模型改进与基准测试研究提供了坚实的数据支撑。
背景与挑战
背景概述
在大规模语言模型迅猛发展的时代，如何系统、公正地评估模型在多样化任务上的表现成为学术界与工业界共同关注的焦点。Open LLM Leaderboard由HuggingFace团队于2023年发起，旨在构建一个开放、透明的模型评测基准，涵盖常识推理、数学计算、知识问答等多个维度。该数据集记录了OEvortex/HelpingAI-110M模型在Leaderboard上的完整评估过程，包含63个任务配置的详细结果，如ARC-Challenge、HellaSwag、MMLU以及GSM8K等。通过这一标准化评测框架，研究者得以洞察模型在零样本或少样本条件下的真实能力，为后续模型优化提供了可复现的参照基准，对推动语言模型性能的透明化比较具有里程碑意义。
当前挑战
该数据集所反映的核心挑战在于，小型语言模型（110M参数）在复杂推理与知识密集型任务中表现显著不足。例如，在GSM8K数学推理任务上准确率近乎为零，ARC-Challenge与MMLU各子领域的得分也普遍低于30%，暴露出模型在逻辑演绎、跨学科知识整合方面的严重局限。构建过程中，评测框架需同时兼容57个MMLU子任务与多种评测协议（如winogrande的acc_norm、truthfulqa的mc1/mc2），确保数据格式统一与结果可比性成为技术难点。此外，如何从单次运行结果中提取有意义的统计指标（如标准差），并避免因随机波动导致的误判，亦是评估体系必须应对的挑战。
常用场景
经典使用场景
在大型语言模型飞速发展的时代，系统性的性能评估成为推动模型进步的关键环节。Open LLM Leaderboard的评估数据集为HelpingAI-110M等模型提供了标准化的多任务评测框架，涵盖ARC挑战赛、HellaSwag、MMLU、TruthfulQA、Winogrande和GSM8K等经典基准。该数据集最经典的使用场景是作为模型在推理、常识理解、知识问答和数学求解等维度上的量化标杆，研究者通过加载其中63个配置的评测结果，能够细致分析模型在各类任务中的表现优劣，从而指导模型架构的优化与训练策略的调整。
解决学术问题
该数据集有效解决了大型语言模型评估中缺乏统一、可复现的度量标准这一核心学术难题。通过整合涵盖从基础科学到专业法律等57个学科领域的MMLU子任务，以及常识推理与数学逻辑等多样化评测，它系统性地揭示了模型在知识广度、推理深度和真实性上的能力边界。这一标准化的评估体系使得研究者能够客观比较不同模型的性能差异，深入探究模型在特定任务上的失败模式，进而推动了对模型泛化能力、鲁棒性和知识迁移机制的学术理解。
实际应用
在实际应用中，该数据集的评估结果直接服务于模型的选型与部署决策。例如，HelpingAI-110M在Winogrande上展现出接近随机水平的代词消解能力，而在GSM8K数学推理上零分的结果，清晰指示了该模型不适合应用于需要精确逻辑推理的金融分析或教育辅导场景。反之，其相对均衡的表现表明它可能在多轮对话或知识问答系统中发挥基础作用。开发者可依据这些细粒度评测数据，为特定业务需求匹配合适的模型，或针对性地进行领域微调。
数据集最近研究
最新研究方向
在大型语言模型（LLM）评估领域，HelpingAI-110M模型在Open LLM Leaderboard上的评测数据集为小规模模型的能力边界探索提供了重要参考。该数据集涵盖了ARC-Challenge、HellaSwag、GSM8K、TruthfulQA等63项任务配置，全面反映了模型在常识推理、数学求解及知识理解等维度的表现。当前前沿研究聚焦于如何通过细粒度评估指标（如准确率及其标准误）来揭示小参数模型的性能瓶颈，尤其是GSM8K任务中准确率为0的结果，凸显了推理能力在轻量级模型中的挑战。这一数据集不仅助力研究者追踪模型迭代中的能力演化，还推动了针对低资源场景下模型鲁棒性与泛化性的系统性分析，为高效能小模型的优化提供了关键基准。
以上内容由遇见数据集搜集并总结生成
