davanstrien/summary-test · Datasets at Hugging Face

datasetId stringlengths 2 117	card stringlengths 19 1.01M
Karthik1080/medquad_llama	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1345005 num_examples: 1000 download_size: 616713 dataset_size: 1345005 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M	--- pretty_name: Evaluation run of nicholasKluge/Aira-Instruct-124M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [nicholasKluge/Aira-Instruct-124M](https://huggingface.co/nicholasKluge/Aira-Instruct-124M)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 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 agregated 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_nicholasKluge__Aira-Instruct-124M\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-10T09:14:16.516035](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M/blob/main/results_2023-08-10T09%3A14%3A16.516035.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\": 0.25097821278031224,\n\ \ \"acc_stderr\": 0.03126312568682377,\n \"acc_norm\": 0.25197883172295243,\n\ \ \"acc_norm_stderr\": 0.03127882498671644,\n \"mc1\": 0.22766217870257038,\n\ \ \"mc1_stderr\": 0.014679255032111075,\n \"mc2\": 0.3793773096260545,\n\ \ \"mc2_stderr\": 0.01493606177741941\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.19368600682593856,\n \"acc_stderr\": 0.01154842540997854,\n\ \ \"acc_norm\": 0.2354948805460751,\n \"acc_norm_stderr\": 0.012399451855004753\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.2909778928500299,\n\ \ \"acc_stderr\": 0.004532850566893526,\n \"acc_norm\": 0.3082055367456682,\n\ \ \"acc_norm_stderr\": 0.004608082815535503\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\": 0.3111111111111111,\n\ \ \"acc_stderr\": 0.03999262876617721,\n \"acc_norm\": 0.3111111111111111,\n\ \ \"acc_norm_stderr\": 0.03999262876617721\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.18421052631578946,\n \"acc_stderr\": 0.0315469804508223,\n\ \ \"acc_norm\": 0.18421052631578946,\n \"acc_norm_stderr\": 0.0315469804508223\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.23,\n\ \ \"acc_stderr\": 0.042295258468165065,\n \"acc_norm\": 0.23,\n \ \ \"acc_norm_stderr\": 0.042295258468165065\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2339622641509434,\n \"acc_stderr\": 0.02605529690115292,\n\ \ \"acc_norm\": 0.2339622641509434,\n \"acc_norm_stderr\": 0.02605529690115292\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2569444444444444,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.2569444444444444,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.14,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.14,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.29,\n\ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness\|hendrycksTest-college_mathematics\|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-college_medicine\|5\": {\n \"acc\": 0.26011560693641617,\n\ \ \"acc_stderr\": 0.03345036916788992,\n \"acc_norm\": 0.26011560693641617,\n\ \ \"acc_norm_stderr\": 0.03345036916788992\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.04092563958237654,\n\ \ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237654\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.2553191489361702,\n \"acc_stderr\": 0.0285048564705142,\n\ \ \"acc_norm\": 0.2553191489361702,\n \"acc_norm_stderr\": 0.0285048564705142\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.2631578947368421,\n\ \ \"acc_stderr\": 0.04142439719489361,\n \"acc_norm\": 0.2631578947368421,\n\ \ \"acc_norm_stderr\": 0.04142439719489361\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135303,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135303\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.2619047619047619,\n \"acc_stderr\": 0.022644212615525218,\n \"\ acc_norm\": 0.2619047619047619,\n \"acc_norm_stderr\": 0.022644212615525218\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.15079365079365079,\n\ \ \"acc_stderr\": 0.03200686497287392,\n \"acc_norm\": 0.15079365079365079,\n\ \ \"acc_norm_stderr\": 0.03200686497287392\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.17,\n \"acc_stderr\": 0.0377525168068637,\n \ \ \"acc_norm\": 0.17,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.2,\n\ \ \"acc_stderr\": 0.022755204959542936,\n \"acc_norm\": 0.2,\n \ \ \"acc_norm_stderr\": 0.022755204959542936\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.29064039408866993,\n \"acc_stderr\": 0.0319474007226554,\n\ \ \"acc_norm\": 0.29064039408866993,\n \"acc_norm_stderr\": 0.0319474007226554\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\ : 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\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\"\ : 0.32323232323232326,\n \"acc_stderr\": 0.03332299921070644,\n \"\ acc_norm\": 0.32323232323232326,\n \"acc_norm_stderr\": 0.03332299921070644\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.29015544041450775,\n \"acc_stderr\": 0.03275264467791516,\n\ \ \"acc_norm\": 0.29015544041450775,\n \"acc_norm_stderr\": 0.03275264467791516\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.24102564102564103,\n \"acc_stderr\": 0.021685546665333195,\n\ \ \"acc_norm\": 0.24102564102564103,\n \"acc_norm_stderr\": 0.021685546665333195\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.22592592592592592,\n \"acc_stderr\": 0.02549753263960955,\n \ \ \"acc_norm\": 0.22592592592592592,\n \"acc_norm_stderr\": 0.02549753263960955\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.1722689075630252,\n \"acc_stderr\": 0.02452866497130541,\n \ \ \"acc_norm\": 0.1722689075630252,\n \"acc_norm_stderr\": 0.02452866497130541\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.17218543046357615,\n \"acc_stderr\": 0.030826136961962385,\n \"\ acc_norm\": 0.17218543046357615,\n \"acc_norm_stderr\": 0.030826136961962385\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.28440366972477066,\n \"acc_stderr\": 0.019342036587702605,\n \"\ acc_norm\": 0.28440366972477066,\n \"acc_norm_stderr\": 0.019342036587702605\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4675925925925926,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.4675925925925926,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.25980392156862747,\n \"acc_stderr\": 0.030778554678693264,\n \"\ acc_norm\": 0.25980392156862747,\n \"acc_norm_stderr\": 0.030778554678693264\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.31645569620253167,\n \"acc_stderr\": 0.03027497488021898,\n \ \ \"acc_norm\": 0.31645569620253167,\n \"acc_norm_stderr\": 0.03027497488021898\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.10762331838565023,\n\ \ \"acc_stderr\": 0.02079940008287998,\n \"acc_norm\": 0.10762331838565023,\n\ \ \"acc_norm_stderr\": 0.02079940008287998\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.26717557251908397,\n \"acc_stderr\": 0.038808483010823944,\n\ \ \"acc_norm\": 0.26717557251908397,\n \"acc_norm_stderr\": 0.038808483010823944\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.32231404958677684,\n \"acc_stderr\": 0.04266416363352167,\n \"\ acc_norm\": 0.32231404958677684,\n \"acc_norm_stderr\": 0.04266416363352167\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.25925925925925924,\n\ \ \"acc_stderr\": 0.042365112580946336,\n \"acc_norm\": 0.25925925925925924,\n\ \ \"acc_norm_stderr\": 0.042365112580946336\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.3006134969325153,\n \"acc_stderr\": 0.03602511318806771,\n\ \ \"acc_norm\": 0.3006134969325153,\n \"acc_norm_stderr\": 0.03602511318806771\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.29464285714285715,\n\ \ \"acc_stderr\": 0.043270409325787296,\n \"acc_norm\": 0.29464285714285715,\n\ \ \"acc_norm_stderr\": 0.043270409325787296\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.18446601941747573,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.18446601941747573,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.2905982905982906,\n\ \ \"acc_stderr\": 0.02974504857267404,\n \"acc_norm\": 0.2905982905982906,\n\ \ \"acc_norm_stderr\": 0.02974504857267404\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.2554278416347382,\n\ \ \"acc_stderr\": 0.015594955384455765,\n \"acc_norm\": 0.2554278416347382,\n\ \ \"acc_norm_stderr\": 0.015594955384455765\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.24855491329479767,\n \"acc_stderr\": 0.023267528432100174,\n\ \ \"acc_norm\": 0.24855491329479767,\n \"acc_norm_stderr\": 0.023267528432100174\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2446927374301676,\n\ \ \"acc_stderr\": 0.01437816988409841,\n \"acc_norm\": 0.2446927374301676,\n\ \ \"acc_norm_stderr\": 0.01437816988409841\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.25163398692810457,\n \"acc_stderr\": 0.024848018263875195,\n\ \ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.024848018263875195\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.18971061093247588,\n\ \ \"acc_stderr\": 0.022268196258783218,\n \"acc_norm\": 0.18971061093247588,\n\ \ \"acc_norm_stderr\": 0.022268196258783218\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.2191358024691358,\n \"acc_stderr\": 0.0230167056402622,\n\ \ \"acc_norm\": 0.2191358024691358,\n \"acc_norm_stderr\": 0.0230167056402622\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.2730496453900709,\n \"acc_stderr\": 0.026577860943307854,\n \ \ \"acc_norm\": 0.2730496453900709,\n \"acc_norm_stderr\": 0.026577860943307854\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.24511082138200782,\n\ \ \"acc_stderr\": 0.010986307870045517,\n \"acc_norm\": 0.24511082138200782,\n\ \ \"acc_norm_stderr\": 0.010986307870045517\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.3161764705882353,\n \"acc_stderr\": 0.028245687391462916,\n\ \ \"acc_norm\": 0.3161764705882353,\n \"acc_norm_stderr\": 0.028245687391462916\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\": 0.21818181818181817,\n \"acc_stderr\": 0.03955932861795833,\n\ \ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03955932861795833\n\ \ },\n \"harness\|hendrycksTest-security_studies\|5\": {\n \"acc\": 0.30612244897959184,\n\ \ \"acc_stderr\": 0.029504896454595957,\n \"acc_norm\": 0.30612244897959184,\n\ \ \"acc_norm_stderr\": 0.029504896454595957\n },\n \"harness\|hendrycksTest-sociology\|5\"\ : {\n \"acc\": 0.23383084577114427,\n \"acc_stderr\": 0.029929415408348377,\n\ \ \"acc_norm\": 0.23383084577114427,\n \"acc_norm_stderr\": 0.029929415408348377\n\ \ },\n \"harness\|hendrycksTest-us_foreign_policy\|5\": {\n \"acc\":\ \ 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-virology\|5\"\ : {\n \"acc\": 0.23493975903614459,\n \"acc_stderr\": 0.03300533186128922,\n\ \ \"acc_norm\": 0.23493975903614459,\n \"acc_norm_stderr\": 0.03300533186128922\n\ \ },\n \"harness\|hendrycksTest-world_religions\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.036155076303109344,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.036155076303109344\n },\n \"harness\|truthfulqa:mc\|0\"\ : {\n \"mc1\": 0.22766217870257038,\n \"mc1_stderr\": 0.014679255032111075,\n\ \ \"mc2\": 0.3793773096260545,\n \"mc2_stderr\": 0.01493606177741941\n\ \ }\n}\n```" repo_url: https://huggingface.co/nicholasKluge/Aira-Instruct-124M 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: 2023_08_10T09_14_16.516035 path: - '/details_harness\|arc:challenge\|25_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hellaswag\|10_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:14:16.516035.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_10T09_14_16.516035 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-10T09:14:16.516035.parquet' - config_name: results data_files: - split: 2023_08_10T09_14_16.516035 path: - results_2023-08-10T09:14:16.516035.parquet - split: latest path: - results_2023-08-10T09:14:16.516035.parquet --- # Dataset Card for Evaluation run of nicholasKluge/Aira-Instruct-124M ## Dataset Description - Homepage: - Repository: https://huggingface.co/nicholasKluge/Aira-Instruct-124M - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [nicholasKluge/Aira-Instruct-124M](https://huggingface.co/nicholasKluge/Aira-Instruct-124M) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 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 agregated 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_nicholasKluge__Aira-Instruct-124M", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-10T09:14:16.516035](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M/blob/main/results_2023-08-10T09%3A14%3A16.516035.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": 0.25097821278031224, "acc_stderr": 0.03126312568682377, "acc_norm": 0.25197883172295243, "acc_norm_stderr": 0.03127882498671644, "mc1": 0.22766217870257038, "mc1_stderr": 0.014679255032111075, "mc2": 0.3793773096260545, "mc2_stderr": 0.01493606177741941 }, "harness\|arc:challenge\|25": { "acc": 0.19368600682593856, "acc_stderr": 0.01154842540997854, "acc_norm": 0.2354948805460751, "acc_norm_stderr": 0.012399451855004753 }, "harness\|hellaswag\|10": { "acc": 0.2909778928500299, "acc_stderr": 0.004532850566893526, "acc_norm": 0.3082055367456682, "acc_norm_stderr": 0.004608082815535503 }, "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": 0.3111111111111111, "acc_stderr": 0.03999262876617721, "acc_norm": 0.3111111111111111, "acc_norm_stderr": 0.03999262876617721 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.18421052631578946, "acc_stderr": 0.0315469804508223, "acc_norm": 0.18421052631578946, "acc_norm_stderr": 0.0315469804508223 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2339622641509434, "acc_stderr": 0.02605529690115292, "acc_norm": 0.2339622641509434, "acc_norm_stderr": 0.02605529690115292 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.14, "acc_stderr": 0.03487350880197769, "acc_norm": 0.14, "acc_norm_stderr": 0.03487350880197769 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.26011560693641617, "acc_stderr": 0.03345036916788992, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.03345036916788992 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.2553191489361702, "acc_stderr": 0.0285048564705142, "acc_norm": 0.2553191489361702, "acc_norm_stderr": 0.0285048564705142 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489361, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489361 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135303, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135303 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.2619047619047619, "acc_stderr": 0.022644212615525218, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.022644212615525218 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.2, "acc_stderr": 0.022755204959542936, "acc_norm": 0.2, "acc_norm_stderr": 0.022755204959542936 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.29064039408866993, "acc_stderr": 0.0319474007226554, "acc_norm": 0.29064039408866993, "acc_norm_stderr": 0.0319474007226554 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "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": 0.32323232323232326, "acc_stderr": 0.03332299921070644, "acc_norm": 0.32323232323232326, "acc_norm_stderr": 0.03332299921070644 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.29015544041450775, "acc_stderr": 0.03275264467791516, "acc_norm": 0.29015544041450775, "acc_norm_stderr": 0.03275264467791516 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.24102564102564103, "acc_stderr": 0.021685546665333195, "acc_norm": 0.24102564102564103, "acc_norm_stderr": 0.021685546665333195 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.22592592592592592, "acc_stderr": 0.02549753263960955, "acc_norm": 0.22592592592592592, "acc_norm_stderr": 0.02549753263960955 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.1722689075630252, "acc_stderr": 0.02452866497130541, "acc_norm": 0.1722689075630252, "acc_norm_stderr": 0.02452866497130541 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.17218543046357615, "acc_stderr": 0.030826136961962385, "acc_norm": 0.17218543046357615, "acc_norm_stderr": 0.030826136961962385 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.28440366972477066, "acc_stderr": 0.019342036587702605, "acc_norm": 0.28440366972477066, "acc_norm_stderr": 0.019342036587702605 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4675925925925926, "acc_stderr": 0.03402801581358966, "acc_norm": 0.4675925925925926, "acc_norm_stderr": 0.03402801581358966 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.25980392156862747, "acc_stderr": 0.030778554678693264, "acc_norm": 0.25980392156862747, "acc_norm_stderr": 0.030778554678693264 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.31645569620253167, "acc_stderr": 0.03027497488021898, "acc_norm": 0.31645569620253167, "acc_norm_stderr": 0.03027497488021898 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.10762331838565023, "acc_stderr": 0.02079940008287998, "acc_norm": 0.10762331838565023, "acc_norm_stderr": 0.02079940008287998 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.26717557251908397, "acc_stderr": 0.038808483010823944, "acc_norm": 0.26717557251908397, "acc_norm_stderr": 0.038808483010823944 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.32231404958677684, "acc_stderr": 0.04266416363352167, "acc_norm": 0.32231404958677684, "acc_norm_stderr": 0.04266416363352167 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.25925925925925924, "acc_stderr": 0.042365112580946336, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.042365112580946336 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.3006134969325153, "acc_stderr": 0.03602511318806771, "acc_norm": 0.3006134969325153, "acc_norm_stderr": 0.03602511318806771 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.29464285714285715, "acc_stderr": 0.043270409325787296, "acc_norm": 0.29464285714285715, "acc_norm_stderr": 0.043270409325787296 }, "harness\|hendrycksTest-management\|5": { "acc": 0.18446601941747573, "acc_stderr": 0.03840423627288276, "acc_norm": 0.18446601941747573, "acc_norm_stderr": 0.03840423627288276 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.2905982905982906, "acc_stderr": 0.02974504857267404, "acc_norm": 0.2905982905982906, "acc_norm_stderr": 0.02974504857267404 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.2554278416347382, "acc_stderr": 0.015594955384455765, "acc_norm": 0.2554278416347382, "acc_norm_stderr": 0.015594955384455765 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.24855491329479767, "acc_stderr": 0.023267528432100174, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.023267528432100174 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2446927374301676, "acc_stderr": 0.01437816988409841, "acc_norm": 0.2446927374301676, "acc_norm_stderr": 0.01437816988409841 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.25163398692810457, "acc_stderr": 0.024848018263875195, "acc_norm": 0.25163398692810457, "acc_norm_stderr": 0.024848018263875195 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.18971061093247588, "acc_stderr": 0.022268196258783218, "acc_norm": 0.18971061093247588, "acc_norm_stderr": 0.022268196258783218 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.2191358024691358, "acc_stderr": 0.0230167056402622, "acc_norm": 0.2191358024691358, "acc_norm_stderr": 0.0230167056402622 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.2730496453900709, "acc_stderr": 0.026577860943307854, "acc_norm": 0.2730496453900709, "acc_norm_stderr": 0.026577860943307854 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.24511082138200782, "acc_stderr": 0.010986307870045517, "acc_norm": 0.24511082138200782, "acc_norm_stderr": 0.010986307870045517 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.3161764705882353, "acc_stderr": 0.028245687391462916, "acc_norm": 0.3161764705882353, "acc_norm_stderr": 0.028245687391462916 }, "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": 0.21818181818181817, "acc_stderr": 0.03955932861795833, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03955932861795833 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.30612244897959184, "acc_stderr": 0.029504896454595957, "acc_norm": 0.30612244897959184, "acc_norm_stderr": 0.029504896454595957 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.23383084577114427, "acc_stderr": 0.029929415408348377, "acc_norm": 0.23383084577114427, "acc_norm_stderr": 0.029929415408348377 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.23493975903614459, "acc_stderr": 0.03300533186128922, "acc_norm": 0.23493975903614459, "acc_norm_stderr": 0.03300533186128922 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.036155076303109344, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.036155076303109344 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.22766217870257038, "mc1_stderr": 0.014679255032111075, "mc2": 0.3793773096260545, "mc2_stderr": 0.01493606177741941 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
theblackcat102/audio-alpaca	--- license: cc-by-nc-4.0 task_categories: - text-generation - automatic-speech-recognition language: - en size_categories: - 10K<n<100K ---
yuyijiong/FoodSafe-Doc-QA-Chinese	--- license: cc-by-nc-4.0 task_categories: - text-generation language: - zh size_categories: - 1K<n<10K --- ## 食品安全领域指令微调数据 * 包含两个任务：多文档QA、论文QA * 文档数据来自中国食品安全国标、教材、综述论文
Matthijs/cmu-arctic-xvectors	--- pretty_name: CMU ARCTIC X-Vectors task_categories: - text-to-speech - audio-to-audio license: mit --- # Speaker embeddings extracted from CMU ARCTIC There is one `.npy` file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors. The [CMU ARCTIC](http://www.festvox.org/cmu_arctic/) dataset divides the utterances among the following speakers: - bdl (US male) - slt (US female) - jmk (Canadian male) - awb (Scottish male) - rms (US male) - clb (US female) - ksp (Indian male) The X-vectors were extracted using [this script](https://huggingface.co/mechanicalsea/speecht5-vc/blob/main/manifest/utils/prep_cmu_arctic_spkemb.py), which uses the `speechbrain/spkrec-xvect-voxceleb` model. Usage: ```python from datasets import load_dataset embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation") speaker_embeddings = embeddings_dataset[7306]["xvector"] speaker_embeddings = torch.tensor(speaker_embeddings).unsqueeze(0) ```
CyberHarem/sonoda_umi_lovelive	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of sonoda_umi/園田海未/소노다우미 (Love Live!) This is the dataset of sonoda_umi/園田海未/소노다우미 (Love Live!), containing 500 images and their tags. The core tags of this character are `long_hair, blue_hair, yellow_eyes, bangs, hair_between_eyes`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:---------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 500 \| 716.93 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 500 \| 393.10 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1212 \| 832.40 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 500 \| 621.44 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1212 \| 1.17 GiB \| [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/sonoda_umi_lovelive', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 18 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, solo, looking_at_viewer, fur_trim, blush, capelet, smile, open_mouth, beret, detached_sleeves, shorts, ribbon \| \| 1 \| 5 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, earrings, looking_at_viewer, smile, solo, white_gloves, blue_necktie, fingerless_gloves, open_mouth, short_sleeves, beret, blush, simple_background, skirt, swept_bangs \| \| 2 \| 7 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| 1girl, looking_at_viewer, smile, solo, blush, flower, blue_dress, choker, earrings, open_mouth, white_gloves, bare_shoulders, hair_ornament, cowboy_shot, head_wreath, simple_background \| \| 3 \| 27 \| ![](samples/3/clu3-sample0.png) \| ![](samples/3/clu3-sample1.png) \| ![](samples/3/clu3-sample2.png) \| ![](samples/3/clu3-sample3.png) \| ![](samples/3/clu3-sample4.png) \| 1girl, solo, hair_flower, looking_at_viewer, blush, bracelet, navel, bikini_skirt, hairband, smile, earrings, necklace, breasts, brown_eyes, frilled_bikini \| \| 4 \| 5 \| ![](samples/4/clu4-sample0.png) \| ![](samples/4/clu4-sample1.png) \| ![](samples/4/clu4-sample2.png) \| ![](samples/4/clu4-sample3.png) \| ![](samples/4/clu4-sample4.png) \| 1girl, looking_at_viewer, smile, solo, bare_shoulders, detached_sleeves, holding_bouquet, simple_background, bridal_veil, bride, hair_flower, petals, strapless_dress, wedding_dress, white_background, blush, choker, garter_straps, jewelry, open_mouth, rose, thighhighs, tiara, white_dress \| \| 5 \| 5 \| ![](samples/5/clu5-sample0.png) \| ![](samples/5/clu5-sample1.png) \| ![](samples/5/clu5-sample2.png) \| ![](samples/5/clu5-sample3.png) \| ![](samples/5/clu5-sample4.png) \| 1girl, blush, hair_flower, short_sleeves, smile, solo, looking_at_viewer, swept_bangs, open_mouth, ribbon, sailor_collar, school_uniform, upper_body, dress, simple_background \| \| 6 \| 5 \| ![](samples/6/clu6-sample0.png) \| ![](samples/6/clu6-sample1.png) \| ![](samples/6/clu6-sample2.png) \| ![](samples/6/clu6-sample3.png) \| ![](samples/6/clu6-sample4.png) \| 1girl, air_bubble, jewelry, looking_at_viewer, solo, underwater, smile, circlet, coral, dress, high_heels, midriff, navel, white_gloves \| \| 7 \| 6 \| ![](samples/7/clu7-sample0.png) \| ![](samples/7/clu7-sample1.png) \| ![](samples/7/clu7-sample2.png) \| ![](samples/7/clu7-sample3.png) \| ![](samples/7/clu7-sample4.png) \| 1girl, angel_wings, blush, feathered_wings, hair_flower, headset, looking_at_viewer, solo, dress, x_hair_ornament, bare_shoulders, butterfly_hair_ornament, microphone, white_wings, barefoot, open_mouth, ribbon, smile \| \| 8 \| 14 \| ![](samples/8/clu8-sample0.png) \| ![](samples/8/clu8-sample1.png) \| ![](samples/8/clu8-sample2.png) \| ![](samples/8/clu8-sample3.png) \| ![](samples/8/clu8-sample4.png) \| 1girl, blush, looking_at_viewer, solo, maid_headdress, simple_background, smile, double_bun, maid_apron, white_background, cowboy_shot, detached_sleeves, earrings, ribbon \| \| 9 \| 5 \| ![](samples/9/clu9-sample0.png) \| ![](samples/9/clu9-sample1.png) \| ![](samples/9/clu9-sample2.png) \| ![](samples/9/clu9-sample3.png) \| ![](samples/9/clu9-sample4.png) \| 1girl, blush, brown_eyes, looking_at_viewer, otonokizaka_school_uniform, solo, bow, simple_background, summer_uniform, sweater_vest, white_background, shirt, skirt, aqua_panties, embarrassed, no_pants, short_sleeves, sitting, smile, socks, striped \| \| 10 \| 14 \| ![](samples/10/clu10-sample0.png) \| ![](samples/10/clu10-sample1.png) \| ![](samples/10/clu10-sample2.png) \| ![](samples/10/clu10-sample3.png) \| ![](samples/10/clu10-sample4.png) \| long_sleeves, otonokizaka_school_uniform, red_bowtie, striped_bowtie, winter_uniform, 1girl, blazer, pleated_skirt, smile, solo, blush, looking_at_viewer, plaid_skirt, cowboy_shot, open_mouth, simple_background \| \| 11 \| 7 \| ![](samples/11/clu11-sample0.png) \| ![](samples/11/clu11-sample1.png) \| ![](samples/11/clu11-sample2.png) \| ![](samples/11/clu11-sample3.png) \| ![](samples/11/clu11-sample4.png) \| 1girl, closed_mouth, otonokizaka_school_uniform, red_bowtie, solo, upper_body, blazer, blush, looking_at_viewer, smile, striped_bowtie, simple_background, white_shirt, winter_uniform, long_sleeves, white_background, blue_jacket, floating_hair \| \| 12 \| 5 \| ![](samples/12/clu12-sample0.png) \| ![](samples/12/clu12-sample1.png) \| ![](samples/12/clu12-sample2.png) \| ![](samples/12/clu12-sample3.png) \| ![](samples/12/clu12-sample4.png) \| 1girl, blush, otonokizaka_school_uniform, pleated_skirt, red_bowtie, short_sleeves, solo, striped_bowtie, summer_uniform, white_shirt, looking_at_viewer, sitting, sweater_vest, blue_skirt, plaid_skirt, indoors, kneehighs, open_mouth \| \| 13 \| 7 \| ![](samples/13/clu13-sample0.png) \| ![](samples/13/clu13-sample1.png) \| ![](samples/13/clu13-sample2.png) \| ![](samples/13/clu13-sample3.png) \| ![](samples/13/clu13-sample4.png) \| 1girl, blush, day, sky, solo, looking_at_viewer, smile, sun_hat, cloud, outdoors, sundress, white_dress, sleeveless, bare_shoulders, ocean, ribbon \| \| 14 \| 7 \| ![](samples/14/clu14-sample0.png) \| ![](samples/14/clu14-sample1.png) \| ![](samples/14/clu14-sample2.png) \| ![](samples/14/clu14-sample3.png) \| ![](samples/14/clu14-sample4.png) \| 1girl, blush, floral_print, kimono, looking_at_viewer, smile, solo, hair_flower, wide_sleeves, obi, detached_sleeves, holding \| \| 15 \| 14 \| ![](samples/15/clu15-sample0.png) \| ![](samples/15/clu15-sample1.png) \| ![](samples/15/clu15-sample2.png) \| ![](samples/15/clu15-sample3.png) \| ![](samples/15/clu15-sample4.png) \| 1girl, muneate, kyuudou, solo, yugake, holding_bow_(weapon), single_glove, hakama_skirt, blush, holding_arrow, looking_at_viewer \| \| 16 \| 6 \| ![](samples/16/clu16-sample0.png) \| ![](samples/16/clu16-sample1.png) \| ![](samples/16/clu16-sample2.png) \| ![](samples/16/clu16-sample3.png) \| ![](samples/16/clu16-sample4.png) \| 1girl, solo, black_gloves, blush, checkered_skirt, looking_at_viewer, striped_thighhighs, treble_clef, flower, microphone_stand, mini_top_hat, sleeveless, earrings, necktie, open_mouth, sitting, smile \| \| 17 \| 13 \| ![](samples/17/clu17-sample0.png) \| ![](samples/17/clu17-sample1.png) \| ![](samples/17/clu17-sample2.png) \| ![](samples/17/clu17-sample3.png) \| ![](samples/17/clu17-sample4.png) \| 1girl, bun_cover, double_bun, solo, looking_at_viewer, china_dress, blush, smile, fingerless_gloves, side_slit, open_mouth, boots, floral_print, simple_background, white_background \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| solo \| looking_at_viewer \| fur_trim \| blush \| capelet \| smile \| open_mouth \| beret \| detached_sleeves \| shorts \| ribbon \| earrings \| white_gloves \| blue_necktie \| fingerless_gloves \| short_sleeves \| simple_background \| skirt \| swept_bangs \| flower \| blue_dress \| choker \| bare_shoulders \| hair_ornament \| cowboy_shot \| head_wreath \| hair_flower \| bracelet \| navel \| bikini_skirt \| hairband \| necklace \| breasts \| brown_eyes \| frilled_bikini \| holding_bouquet \| bridal_veil \| bride \| petals \| strapless_dress \| wedding_dress \| white_background \| garter_straps \| jewelry \| rose \| thighhighs \| tiara \| white_dress \| sailor_collar \| school_uniform \| upper_body \| dress \| air_bubble \| underwater \| circlet \| coral \| high_heels \| midriff \| angel_wings \| feathered_wings \| headset \| x_hair_ornament \| butterfly_hair_ornament \| microphone \| white_wings \| barefoot \| maid_headdress \| double_bun \| maid_apron \| otonokizaka_school_uniform \| bow \| summer_uniform \| sweater_vest \| shirt \| aqua_panties \| embarrassed \| no_pants \| sitting \| socks \| striped \| long_sleeves \| red_bowtie \| striped_bowtie \| winter_uniform \| blazer \| pleated_skirt \| plaid_skirt \| closed_mouth \| white_shirt \| blue_jacket \| floating_hair \| blue_skirt \| indoors \| kneehighs \| day \| sky \| sun_hat \| cloud \| outdoors \| sundress \| sleeveless \| ocean \| floral_print \| kimono \| wide_sleeves \| obi \| holding \| muneate \| kyuudou \| yugake \| holding_bow_(weapon) \| single_glove \| hakama_skirt \| holding_arrow \| black_gloves \| checkered_skirt \| striped_thighhighs \| treble_clef \| microphone_stand \| mini_top_hat \| necktie \| bun_cover \| china_dress \| side_slit \| boots \| \|----:\|----------:\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:--------\|:-------\|:--------------------\|:-----------\|:--------\|:----------\|:--------\|:-------------\|:--------\|:-------------------\|:---------\|:---------\|:-----------\|:---------------\|:---------------\|:--------------------\|:----------------\|:--------------------\|:--------\|:--------------\|:---------\|:-------------\|:---------\|:-----------------\|:----------------\|:--------------\|:--------------\|:--------------\|:-----------\|:--------\|:---------------\|:-----------\|:-----------\|:----------\|:-------------\|:-----------------\|:------------------\|:--------------\|:--------\|:---------\|:------------------\|:----------------\|:-------------------\|:----------------\|:----------\|:-------\|:-------------\|:--------\|:--------------\|:----------------\|:-----------------\|:-------------\|:--------\|:-------------\|:-------------\|:----------\|:--------\|:-------------\|:----------\|:--------------\|:------------------\|:----------\|:------------------\|:--------------------------\|:-------------\|:--------------\|:-----------\|:-----------------\|:-------------\|:-------------\|:-----------------------------\|:------\|:-----------------\|:---------------\|:--------\|:---------------\|:--------------\|:-----------\|:----------\|:--------\|:----------\|:---------------\|:-------------\|:-----------------\|:-----------------\|:---------\|:----------------\|:--------------\|:---------------\|:--------------\|:--------------\|:----------------\|:-------------\|:----------\|:------------\|:------\|:------\|:----------\|:--------\|:-----------\|:-----------\|:-------------\|:--------\|:---------------\|:---------\|:---------------\|:------\|:----------\|:----------\|:----------\|:---------\|:-----------------------\|:---------------\|:---------------\|:----------------\|:---------------\|:------------------\|:---------------------\|:--------------\|:-------------------\|:---------------\|:----------\|:------------\|:--------------\|:------------\|:--------\| \| 0 \| 18 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 5 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| X \| X \| \| X \| \| X \| X \| X \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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\| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 5 \| ![](samples/4/clu4-sample0.png) \| ![](samples/4/clu4-sample1.png) \| ![](samples/4/clu4-sample2.png) \| ![](samples/4/clu4-sample3.png) \| ![](samples/4/clu4-sample4.png) \| X \| X \| X \| \| X \| \| X \| X \| \| X \| \| \| \| \| \| \| \| X \| \| \| \| \| X \| X \| \| \| \| X \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 5 \| 5 \| ![](samples/5/clu5-sample0.png) \| ![](samples/5/clu5-sample1.png) \| ![](samples/5/clu5-sample2.png) \| ![](samples/5/clu5-sample3.png) \| ![](samples/5/clu5-sample4.png) \| X \| X \| X \| \| X \| \| X \| X \| \| \| \| X \| \| \| \| \| X \| X \| \| X \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 6 \| 5 \| ![](samples/6/clu6-sample0.png) \| ![](samples/6/clu6-sample1.png) \| ![](samples/6/clu6-sample2.png) \| ![](samples/6/clu6-sample3.png) \| ![](samples/6/clu6-sample4.png) \| X \| X \| X \| \| \| \| X \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 7 \| 6 \| ![](samples/7/clu7-sample0.png) \| ![](samples/7/clu7-sample1.png) \| ![](samples/7/clu7-sample2.png) \| ![](samples/7/clu7-sample3.png) \| ![](samples/7/clu7-sample4.png) \| X \| X \| X \| \| X \| \| X \| X \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 8 \| 14 \| ![](samples/8/clu8-sample0.png) \| ![](samples/8/clu8-sample1.png) \| ![](samples/8/clu8-sample2.png) \| ![](samples/8/clu8-sample3.png) \| ![](samples/8/clu8-sample4.png) \| X \| X \| X \| \| X \| 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14 \| ![](samples/10/clu10-sample0.png) \| ![](samples/10/clu10-sample1.png) \| ![](samples/10/clu10-sample2.png) \| ![](samples/10/clu10-sample3.png) \| ![](samples/10/clu10-sample4.png) \| X \| X \| X \| \| X \| \| X \| X \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 11 \| 7 \| ![](samples/11/clu11-sample0.png) \| ![](samples/11/clu11-sample1.png) \| ![](samples/11/clu11-sample2.png) \| ![](samples/11/clu11-sample3.png) \| ![](samples/11/clu11-sample4.png) \| X \| X \| X \| \| X \| \| X \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| 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![](samples/13/clu13-sample4.png) \| X \| X \| X \| \| X \| \| X \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 14 \| 7 \| ![](samples/14/clu14-sample0.png) \| ![](samples/14/clu14-sample1.png) \| ![](samples/14/clu14-sample2.png) \| ![](samples/14/clu14-sample3.png) \| ![](samples/14/clu14-sample4.png) \| X \| X \| X \| \| X \| \| X \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 15 \| 14 \| ![](samples/15/clu15-sample0.png) \| ![](samples/15/clu15-sample1.png) \| ![](samples/15/clu15-sample2.png) \| ![](samples/15/clu15-sample3.png) \| ![](samples/15/clu15-sample4.png) \| X \| X \| X \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| 16 \| 6 \| ![](samples/16/clu16-sample0.png) \| ![](samples/16/clu16-sample1.png) \| ![](samples/16/clu16-sample2.png) \| ![](samples/16/clu16-sample3.png) \| ![](samples/16/clu16-sample4.png) \| X \| X \| X \| \| X \| \| X \| X \| \| \| \| \| X \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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jlbaker361/prior-reward	--- dataset_info: features: - name: man dtype: image - name: woman dtype: image - name: boy dtype: image - name: girl dtype: image - name: character dtype: image - name: person dtype: image splits: - name: train num_bytes: 75309398.0 num_examples: 28 download_size: 75317328 dataset_size: 75309398.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_2_t_0.9	--- dataset_info: config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string - name: index dtype: int64 - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: filtered_epoch dtype: int64 - name: gen_reward dtype: float64 - name: gen_response dtype: string splits: - name: epoch_0 num_bytes: 43729495 num_examples: 18928 - name: epoch_1 num_bytes: 44301102 num_examples: 18928 - name: epoch_2 num_bytes: 44373560 num_examples: 18928 - name: epoch_3 num_bytes: 44407111 num_examples: 18928 - name: epoch_4 num_bytes: 44414707 num_examples: 18928 - name: epoch_5 num_bytes: 44399743 num_examples: 18928 - name: epoch_6 num_bytes: 44388093 num_examples: 18928 - name: epoch_7 num_bytes: 44380265 num_examples: 18928 - name: epoch_8 num_bytes: 44375264 num_examples: 18928 - name: epoch_9 num_bytes: 44372364 num_examples: 18928 - name: epoch_10 num_bytes: 44371662 num_examples: 18928 - name: epoch_11 num_bytes: 44370199 num_examples: 18928 - name: epoch_12 num_bytes: 44372011 num_examples: 18928 - name: epoch_13 num_bytes: 44371609 num_examples: 18928 - name: epoch_14 num_bytes: 44369899 num_examples: 18928 - name: epoch_15 num_bytes: 44370705 num_examples: 18928 - name: epoch_16 num_bytes: 44371750 num_examples: 18928 - name: epoch_17 num_bytes: 44370318 num_examples: 18928 - name: epoch_18 num_bytes: 44371110 num_examples: 18928 - name: epoch_19 num_bytes: 44372001 num_examples: 18928 - name: epoch_20 num_bytes: 44370853 num_examples: 18928 - name: epoch_21 num_bytes: 44369629 num_examples: 18928 - name: epoch_22 num_bytes: 44371126 num_examples: 18928 - name: epoch_23 num_bytes: 44371020 num_examples: 18928 - name: epoch_24 num_bytes: 44369679 num_examples: 18928 - name: epoch_25 num_bytes: 44371722 num_examples: 18928 - name: epoch_26 num_bytes: 44370162 num_examples: 18928 - name: epoch_27 num_bytes: 44371241 num_examples: 18928 - name: epoch_28 num_bytes: 44370149 num_examples: 18928 - name: epoch_29 num_bytes: 44369233 num_examples: 18928 download_size: 814280532 dataset_size: 1330557782 configs: - config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 data_files: - split: epoch_0 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_0-* - split: epoch_1 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_1-* - split: epoch_2 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_2-* - split: epoch_3 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_3-* - split: epoch_4 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_4-* - split: epoch_5 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_5-* - split: epoch_6 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_6-* - split: epoch_7 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_7-* - split: epoch_8 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_8-* - split: epoch_9 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_9-* - split: epoch_10 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_10-* - split: epoch_11 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_11-* - split: epoch_12 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_12-* - split: epoch_13 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_13-* - split: epoch_14 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_14-* - split: epoch_15 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_15-* - split: epoch_16 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_16-* - split: epoch_17 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_17-* - split: epoch_18 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_18-* - split: epoch_19 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_19-* - split: epoch_20 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_20-* - split: epoch_21 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_21-* - split: epoch_22 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_22-* - split: epoch_23 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_23-* - split: epoch_24 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_24-* - split: epoch_25 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_25-* - split: epoch_26 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_26-* - split: epoch_27 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_27-* - split: epoch_28 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_28-* - split: epoch_29 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_29-* ---
KK1mo/tedigan_gen_All	--- dataset_info: features: - name: id dtype: string - name: caption dtype: string - name: generated_image dtype: image splits: - name: train num_bytes: 354831267.0 num_examples: 2998 download_size: 354734037 dataset_size: 354831267.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
gbharti/wealth-alpaca_lora	--- language: - en --- This dataset is a combination of Stanford's Alpaca (https://github.com/tatsu-lab/stanford_alpaca) and FiQA (https://sites.google.com/view/fiqa/) with another 1.3k pairs custom generated using GPT3.5 Script for tuning through Kaggle's (https://www.kaggle.com) free resources using PEFT/LoRa: https://www.kaggle.com/code/gbhacker23/wealth-alpaca-lora
MottsCoding/meltpools1k	--- dataset_info: features: - name: images dtype: image - name: labels sequence: sequence: int32 splits: - name: train num_bytes: 50697182.0 num_examples: 9 download_size: 0 dataset_size: 50697182.0 --- # Dataset Card for "meltpools1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
freshpearYoon/vr_val_free_4	--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: filename dtype: string - name: NumOfUtterance dtype: int64 - name: text dtype: string - name: samplingrate dtype: int64 - name: begin_time dtype: float64 - name: end_time dtype: float64 - name: speaker_id dtype: string - name: directory dtype: string splits: - name: train num_bytes: 7119718719 num_examples: 10000 download_size: 1206748228 dataset_size: 7119718719 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_MysteriousAI__Mia-001	--- pretty_name: Evaluation run of MysteriousAI/Mia-001 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MysteriousAI/Mia-001](https://huggingface.co/MysteriousAI/Mia-001) 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_MysteriousAI__Mia-001\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-02T16:52:06.968259](https://huggingface.co/datasets/open-llm-leaderboard/details_MysteriousAI__Mia-001/blob/main/results_2024-04-02T16-52-06.968259.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/MysteriousAI/Mia-001 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_04_02T16_52_06.968259 path: - '/details_harness\|arc:challenge\|25_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-04-02T16-52-06.968259.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|gsm8k\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hellaswag\|10_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-02T16-52-06.968259.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-management\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|truthfulqa:mc\|0_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-04-02T16-52-06.968259.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '/details_harness\|winogrande\|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-04-02T16-52-06.968259.parquet' - config_name: results data_files: - split: 2024_04_02T16_52_06.968259 path: - results_2024-04-02T16-52-06.968259.parquet - split: latest path: - results_2024-04-02T16-52-06.968259.parquet --- # Dataset Card for Evaluation run of MysteriousAI/Mia-001 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [MysteriousAI/Mia-001](https://huggingface.co/MysteriousAI/Mia-001) 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_MysteriousAI__Mia-001", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-02T16:52:06.968259](https://huggingface.co/datasets/open-llm-leaderboard/details_MysteriousAI__Mia-001/blob/main/results_2024-04-02T16-52-06.968259.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, "acc_stderr": 0.03941897526516302, "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": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.2388250319284802, "acc_stderr": 0.015246803197398687, "acc_norm": 0.2388250319284802, "acc_norm_stderr": 0.015246803197398687 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.24566473988439305, "acc_stderr": 0.02317629820399201, "acc_norm": 0.24566473988439305, "acc_norm_stderr": 0.02317629820399201 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.23798882681564246, "acc_stderr": 0.014242630070574915, "acc_norm": 0.23798882681564246, "acc_norm_stderr": 0.014242630070574915 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.20915032679738563, "acc_stderr": 0.023287685312334806, "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, "acc_stderr": 0.02484792135806396, "acc_norm": 0.22340425531914893, "acc_norm_stderr": 0.02484792135806396 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.242503259452412, "acc_stderr": 0.010946570966348787, "acc_norm": 0.242503259452412, "acc_norm_stderr": 0.010946570966348787 }, "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 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.22885572139303484, "acc_stderr": 0.029705284056772436, "acc_norm": 0.22885572139303484, "acc_norm_stderr": 0.029705284056772436 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.28313253012048195, "acc_stderr": 0.03507295431370518, "acc_norm": 0.28313253012048195, "acc_norm_stderr": 0.03507295431370518 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.2982456140350877, "acc_stderr": 0.03508771929824563, "acc_norm": 0.2982456140350877, "acc_norm_stderr": 0.03508771929824563 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.24724602203182375, "mc1_stderr": 0.015102404797359654, "mc2": 0.4825112031965409, "mc2_stderr": 0.01620968936835715 }, "harness\|winogrande\|5": { "acc": 0.516179952644041, "acc_stderr": 0.014045126130978601 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- 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. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- 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. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- 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. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- 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. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
KaiLv/UDR_CNNDailyMail	--- dataset_info: features: - name: idx dtype: int64 - name: article dtype: string - name: highlights dtype: string - name: len_article dtype: int64 - name: len_highlights dtype: int64 splits: - name: train num_bytes: 453635426 num_examples: 155098 - name: validation num_bytes: 21468466 num_examples: 7512 - name: test num_bytes: 18215547 num_examples: 6379 - name: debug num_bytes: 292572035 num_examples: 100000 download_size: 484340245 dataset_size: 785891474 --- # Dataset Card for "UDR_CNNDailyMail" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ruanchaves/lynx	--- annotations_creators: - expert-generated language_creators: - machine-generated language: - code license: - unknown multilinguality: - monolingual size_categories: - unknown source_datasets: - original task_categories: - structure-prediction - code-generation - conditional-text-generation task_ids: [] pretty_name: Lynx tags: - word-segmentation --- # Dataset Card for Lynx ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Dataset Creation](#dataset-creation) - [Additional Information](#additional-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Paper: [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf) ### Dataset Summary In programming languages, identifiers are tokens (also called symbols) which name language entities. Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages. Lynx is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier. Besides identifier segmentation, the gold labels for this dataset also include abbreviation expansion. ### Languages - C ## Dataset Structure ### Data Instances ``` { "index": 3, "identifier": "abspath", "segmentation": "abs path", "expansion": "absolute path", "spans": { "text": [ "abs" ], "expansion": [ "absolute" ], "start": [ 0 ], "end": [ 4 ] } } ``` ### Data Fields - `index`: a numerical index. - `identifier`: the original identifier. - `segmentation`: the gold segmentation for the identifier, without abbreviation expansion. - `expansion`: the gold segmentation for the identifier, with abbreviation expansion. - `spans`: the start and end index of each abbreviation, the text of the abbreviation and its corresponding expansion. ## Dataset Creation - All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`. - The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields. - There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ). - If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field. ### Citation Information ``` @inproceedings{madani2010recognizing, title={Recognizing words from source code identifiers using speech recognition techniques}, author={Madani, Nioosha and Guerrouj, Latifa and Di Penta, Massimiliano and Gueheneuc, Yann-Gael and Antoniol, Giuliano}, booktitle={2010 14th European Conference on Software Maintenance and Reengineering}, pages={68--77}, year={2010}, organization={IEEE} } ``` ### Contributions This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.
PlanTL-GOB-ES/MLDoc	--- YAML tags: annotations_creators: - expert-generated language: - es language_creators: - found multilinguality: - multilingual pretty_name: MLDoc license: cc-by-nc-4.0 size_categories: [] source_datasets: [] tags: [] task_categories: - text-classification task_ids: [] --- # MLDoc ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Website: https://github.com/facebookresearch/MLDoc ### Dataset Summary For document classification, we use the Multilingual Document Classification Corpus (MLDoc) [(Schwenk and Li, 2018)](http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf), a cross-lingual document classification dataset covering 8 languages. We use the Spanish portion to evaluate our models on monolingual classification as part of the EvalEs Spanish language benchmark. The corpus consists of 14,458 news articles from Reuters classified in four categories: Corporate/Industrial, Economics, Government/Social and Markets. This dataset can't be downloaded straight from HuggingFace as it requires signing specific agreements. The detailed instructions on how to download it can be found in this [repository](https://github.com/facebookresearch/MLDoc). ### Supported Tasks and Leaderboards Text Classification ### Languages The dataset is in English, German, French, Spanish, Italian, Russian, Japanese and Chinese. ## Dataset Structure ### Data Instances <pre> MCAT b' FRANCFORT, 17 feb (Reuter) - La Bolsa de Francfort abri\xc3\xb3 la sesi\xc3\xb3n de corros con baja por la ca\xc3\xadda del viernes en Wall Street y una toma de beneficios. El d\xc3\xb3lar ayudaba a apuntalar al mercado, que pronto podr\xc3\xada reanudar su tendencia alcista. Volkswagen bajaba por los da\xc3\xb1os ocasionados por la huelga de camioneros en Espa\xc3\xb1a. Preussag participaba en un joint venture de exploraci\xc3\xb3n petrol\xc3\xadfera en Filipinas con Atlantic Richfield Co. A las 0951 GMT, el Dax 30 bajaba 10,49 puntos, un 0,32 pct, a 3.237,69 tras abrir a un m\xc3\xa1ximo de 3.237,69. (c) Reuters Limited 1997. ' </pre> ### Data Fields - Label: CCAT (Corporate/Industrial), ECAT (Economics), GCAT (Government/Social) and MCAT (Markets) - Text ### Data Splits - train.tsv: 9,458 lines - valid.tsv: 1,000 lines - test.tsv: 4,000 lines ## Dataset Creation ### Curation Rationale [N/A] ### Source Data The source data is from the Reuters Corpus. In 2000, Reuters Ltd made available a large collection of Reuters News stories for use in research and development of natural language processing, information retrieval, and machine learning systems. This corpus, known as "Reuters Corpus, Volume 1" or RCV1, is significantly larger than the older, well-known Reuters-21578 collection heavily used in the text classification community. For more information visit the paper [(Lewis et al., 2004)](https://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf). #### Initial Data Collection and Normalization For more information visit the paper [(Lewis et al., 2004)](https://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf). #### Who are the source language producers? For more information visit the paper [(Lewis et al., 2004)](https://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf). ### Annotations #### Annotation process For more information visit the paper [(Schwenk and Li, 2018; Lewis et al., 2004)](http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf). #### Who are the annotators? For more information visit the paper [(Schwenk and Li, 2018; Lewis et al., 2004)](http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf). ### Personal and Sensitive Information [N/A] ## Considerations for Using the Data ### Social Impact of Dataset This dataset contributes to the development of language models in Spanish. ### Discussion of Biases [N/A] ### Other Known Limitations [N/A] ## Additional Information ### Dataset Curators [N/A] ### Licensing Information Access to the actual news stories of the Reuters Corpus (both RCV1 and RCV2) requires a NIST agreement. The stories in the Reuters Corpus are under the copyright of Reuters Ltd and/or Thomson Reuters, and their use is governed by the following agreements: - Organizational agreement: This agreement must be signed by the person responsible for the data at your organization, and sent to NIST. - Individual agreement: This agreement must be signed by all researchers using the Reuters Corpus at your organization, and kept on file at your organization. For more information about the agreement see [here](https://trec.nist.gov/data/reuters/reuters.html) ### Citation Information The following paper must be cited when using this corpus: ``` @InProceedings{SCHWENK18.658, author = {Holger Schwenk and Xian Li}, title = {A Corpus for Multilingual Document Classification in Eight Languages}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-00-9}, language = {english} } @inproceedings{schwenk-li-2018-corpus, title = "A Corpus for Multilingual Document Classification in Eight Languages", author = "Schwenk, Holger and Li, Xian", booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)", month = may, year = "2018", address = "Miyazaki, Japan", publisher = "European Language Resources Association (ELRA)", url = "https://aclanthology.org/L18-1560", } ```
Emm9625/SlimOrca-dedupe-4k	--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 6608271.511536737 num_examples: 4000 - name: test num_bytes: 660827.1511536737 num_examples: 400 download_size: 3673854 dataset_size: 7269098.66269041 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
HADESJUDGEMENT/Art	--- license: unknown ---
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/107a1506	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 182 num_examples: 10 download_size: 1340 dataset_size: 182 --- # Dataset Card for "107a1506" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_cloudyu__mistral_28B_instruct_v0.1	--- pretty_name: Evaluation run of cloudyu/mistral_28B_instruct_v0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [cloudyu/mistral_28B_instruct_v0.1](https://huggingface.co/cloudyu/mistral_28B_instruct_v0.1)\ \ 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_cloudyu__mistral_28B_instruct_v0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-05T07:24:18.194696](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__mistral_28B_instruct_v0.1/blob/main/results_2024-03-05T07-24-18.194696.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\": 0.6048165720098292,\n\ \ \"acc_stderr\": 0.03318918937904906,\n \"acc_norm\": 0.6103008292910913,\n\ \ \"acc_norm_stderr\": 0.03386256440684409,\n \"mc1\": 0.44920440636474906,\n\ \ \"mc1_stderr\": 0.01741294198611531,\n \"mc2\": 0.6416534233937677,\n\ \ \"mc2_stderr\": 0.015338593594048558\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.53839590443686,\n \"acc_stderr\": 0.014568245550296358,\n\ \ \"acc_norm\": 0.5836177474402731,\n \"acc_norm_stderr\": 0.01440561827943618\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6085441147181836,\n\ \ \"acc_stderr\": 0.004870785036708288,\n \"acc_norm\": 0.8053176658036247,\n\ \ \"acc_norm_stderr\": 0.0039514673865977306\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.046482319871173156,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.046482319871173156\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6,\n \ \ \"acc_stderr\": 0.042320736951515885,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.042320736951515885\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6381578947368421,\n \"acc_stderr\": 0.03910525752849724,\n\ \ \"acc_norm\": 0.6381578947368421,\n \"acc_norm_stderr\": 0.03910525752849724\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.049999999999999996,\n \"acc_norm\": 0.55,\n \ \ \"acc_norm_stderr\": 0.049999999999999996\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.690566037735849,\n \"acc_stderr\": 0.028450154794118637,\n\ \ \"acc_norm\": 0.690566037735849,\n \"acc_norm_stderr\": 0.028450154794118637\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.049888765156985884,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.049888765156985884\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5722543352601156,\n\ \ \"acc_stderr\": 0.03772446857518025,\n \"acc_norm\": 0.5722543352601156,\n\ \ \"acc_norm_stderr\": 0.03772446857518025\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726366,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726366\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5063829787234042,\n \"acc_stderr\": 0.032683358999363366,\n\ \ \"acc_norm\": 0.5063829787234042,\n \"acc_norm_stderr\": 0.032683358999363366\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.041227371113703316,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.041227371113703316\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3835978835978836,\n \"acc_stderr\": 0.025043757318520196,\n \"\ acc_norm\": 0.3835978835978836,\n \"acc_norm_stderr\": 0.025043757318520196\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4365079365079365,\n\ \ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\ \ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.6516129032258065,\n\ \ \"acc_stderr\": 0.027104826328100944,\n \"acc_norm\": 0.6516129032258065,\n\ \ \"acc_norm_stderr\": 0.027104826328100944\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.03517945038691063,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7212121212121212,\n \"acc_stderr\": 0.03501438706296781,\n\ \ \"acc_norm\": 0.7212121212121212,\n \"acc_norm_stderr\": 0.03501438706296781\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.030746300742124488,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.030746300742124488\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8341968911917098,\n \"acc_stderr\": 0.026839845022314415,\n\ \ \"acc_norm\": 0.8341968911917098,\n \"acc_norm_stderr\": 0.026839845022314415\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5615384615384615,\n \"acc_stderr\": 0.02515826601686859,\n \ \ \"acc_norm\": 0.5615384615384615,\n \"acc_norm_stderr\": 0.02515826601686859\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.28888888888888886,\n \"acc_stderr\": 0.027634907264178544,\n \ \ \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.027634907264178544\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.031041941304059288,\n\ \ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.031041941304059288\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.0395802723112157,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.0395802723112157\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7944954128440367,\n \"acc_stderr\": 0.017324352325016012,\n \"\ acc_norm\": 0.7944954128440367,\n \"acc_norm_stderr\": 0.017324352325016012\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145628,\n \"\ acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145628\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \ \ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6457399103139013,\n\ \ \"acc_stderr\": 0.03210062154134987,\n \"acc_norm\": 0.6457399103139013,\n\ \ \"acc_norm_stderr\": 0.03210062154134987\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7251908396946565,\n \"acc_stderr\": 0.03915345408847836,\n\ \ \"acc_norm\": 0.7251908396946565,\n \"acc_norm_stderr\": 0.03915345408847836\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228732,\n \"\ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228732\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7685185185185185,\n\ \ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.7685185185185185,\n\ \ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.034624199316156234,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.034624199316156234\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729245,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729245\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8547008547008547,\n\ \ \"acc_stderr\": 0.02308663508684141,\n \"acc_norm\": 0.8547008547008547,\n\ \ \"acc_norm_stderr\": 0.02308663508684141\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7905491698595147,\n\ \ \"acc_stderr\": 0.014551310568143698,\n \"acc_norm\": 0.7905491698595147,\n\ \ \"acc_norm_stderr\": 0.014551310568143698\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6763005780346821,\n \"acc_stderr\": 0.025190181327608408,\n\ \ \"acc_norm\": 0.6763005780346821,\n \"acc_norm_stderr\": 0.025190181327608408\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.30614525139664805,\n\ \ \"acc_stderr\": 0.015414494487903226,\n \"acc_norm\": 0.30614525139664805,\n\ \ \"acc_norm_stderr\": 0.015414494487903226\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6830065359477124,\n \"acc_stderr\": 0.026643278474508755,\n\ \ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.026643278474508755\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818774,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818774\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7006172839506173,\n \"acc_stderr\": 0.025483115601195448,\n\ \ \"acc_norm\": 0.7006172839506173,\n \"acc_norm_stderr\": 0.025483115601195448\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4645390070921986,\n \"acc_stderr\": 0.029752389657427047,\n \ \ \"acc_norm\": 0.4645390070921986,\n \"acc_norm_stderr\": 0.029752389657427047\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4061277705345502,\n\ \ \"acc_stderr\": 0.012543154588412942,\n \"acc_norm\": 0.4061277705345502,\n\ \ \"acc_norm_stderr\": 0.012543154588412942\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6433823529411765,\n \"acc_stderr\": 0.029097209568411955,\n\ \ \"acc_norm\": 0.6433823529411765,\n \"acc_norm_stderr\": 0.029097209568411955\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6111111111111112,\n \"acc_stderr\": 0.019722058939618068,\n \ \ \"acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.019722058939618068\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7181818181818181,\n\ \ \"acc_stderr\": 0.043091187099464585,\n \"acc_norm\": 0.7181818181818181,\n\ \ \"acc_norm_stderr\": 0.043091187099464585\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065677,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065677\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7064676616915423,\n\ \ \"acc_stderr\": 0.03220024104534205,\n \"acc_norm\": 0.7064676616915423,\n\ \ \"acc_norm_stderr\": 0.03220024104534205\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4759036144578313,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.4759036144578313,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.44920440636474906,\n\ \ \"mc1_stderr\": 0.01741294198611531,\n \"mc2\": 0.6416534233937677,\n\ \ \"mc2_stderr\": 0.015338593594048558\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7482241515390686,\n \"acc_stderr\": 0.01219848910025978\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.379833206974981,\n \ \ \"acc_stderr\": 0.013368818096960496\n }\n}\n```" repo_url: https://huggingface.co/cloudyu/mistral_28B_instruct_v0.1 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_05T07_24_18.194696 path: - '/details_harness\|arc:challenge\|25_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-05T07-24-18.194696.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|gsm8k\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hellaswag\|10_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-05T07-24-18.194696.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-05T07-24-18.194696.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '/details_harness\|winogrande\|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-05T07-24-18.194696.parquet' - config_name: results data_files: - split: 2024_03_05T07_24_18.194696 path: - results_2024-03-05T07-24-18.194696.parquet - split: latest path: - results_2024-03-05T07-24-18.194696.parquet --- # Dataset Card for Evaluation run of cloudyu/mistral_28B_instruct_v0.1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [cloudyu/mistral_28B_instruct_v0.1](https://huggingface.co/cloudyu/mistral_28B_instruct_v0.1) 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_cloudyu__mistral_28B_instruct_v0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-05T07:24:18.194696](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__mistral_28B_instruct_v0.1/blob/main/results_2024-03-05T07-24-18.194696.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": 0.6048165720098292, "acc_stderr": 0.03318918937904906, "acc_norm": 0.6103008292910913, "acc_norm_stderr": 0.03386256440684409, "mc1": 0.44920440636474906, "mc1_stderr": 0.01741294198611531, "mc2": 0.6416534233937677, "mc2_stderr": 0.015338593594048558 }, "harness\|arc:challenge\|25": { "acc": 0.53839590443686, "acc_stderr": 0.014568245550296358, "acc_norm": 0.5836177474402731, "acc_norm_stderr": 0.01440561827943618 }, "harness\|hellaswag\|10": { "acc": 0.6085441147181836, "acc_stderr": 0.004870785036708288, "acc_norm": 0.8053176658036247, "acc_norm_stderr": 0.0039514673865977306 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6, "acc_stderr": 0.042320736951515885, "acc_norm": 0.6, "acc_norm_stderr": 0.042320736951515885 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6381578947368421, "acc_stderr": 0.03910525752849724, "acc_norm": 0.6381578947368421, "acc_norm_stderr": 0.03910525752849724 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.690566037735849, "acc_stderr": 0.028450154794118637, "acc_norm": 0.690566037735849, "acc_norm_stderr": 0.028450154794118637 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6944444444444444, "acc_stderr": 0.03852084696008534, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.03852084696008534 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.44, "acc_stderr": 0.049888765156985884, "acc_norm": 0.44, "acc_norm_stderr": 0.049888765156985884 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5722543352601156, "acc_stderr": 0.03772446857518025, "acc_norm": 0.5722543352601156, "acc_norm_stderr": 0.03772446857518025 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4117647058823529, "acc_stderr": 0.04897104952726366, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726366 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5063829787234042, "acc_stderr": 0.032683358999363366, "acc_norm": 0.5063829787234042, "acc_norm_stderr": 0.032683358999363366 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5724137931034483, "acc_stderr": 0.041227371113703316, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.041227371113703316 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3835978835978836, "acc_stderr": 0.025043757318520196, "acc_norm": 0.3835978835978836, "acc_norm_stderr": 0.025043757318520196 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4365079365079365, "acc_stderr": 0.04435932892851466, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.04435932892851466 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6516129032258065, "acc_stderr": 0.027104826328100944, "acc_norm": 0.6516129032258065, "acc_norm_stderr": 0.027104826328100944 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5024630541871922, "acc_stderr": 0.03517945038691063, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.03517945038691063 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.64, "acc_stderr": 0.048241815132442176, "acc_norm": 0.64, "acc_norm_stderr": 0.048241815132442176 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7212121212121212, "acc_stderr": 0.03501438706296781, "acc_norm": 0.7212121212121212, "acc_norm_stderr": 0.03501438706296781 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7525252525252525, "acc_stderr": 0.030746300742124488, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.030746300742124488 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8341968911917098, "acc_stderr": 0.026839845022314415, "acc_norm": 0.8341968911917098, "acc_norm_stderr": 0.026839845022314415 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5615384615384615, "acc_stderr": 0.02515826601686859, "acc_norm": 0.5615384615384615, "acc_norm_stderr": 0.02515826601686859 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.28888888888888886, "acc_stderr": 0.027634907264178544, "acc_norm": 0.28888888888888886, "acc_norm_stderr": 0.027634907264178544 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6470588235294118, "acc_stderr": 0.031041941304059288, "acc_norm": 0.6470588235294118, "acc_norm_stderr": 0.031041941304059288 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.37748344370860926, "acc_stderr": 0.0395802723112157, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.0395802723112157 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7944954128440367, "acc_stderr": 0.017324352325016012, "acc_norm": 0.7944954128440367, "acc_norm_stderr": 0.017324352325016012 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7647058823529411, "acc_stderr": 0.029771775228145628, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.029771775228145628 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7510548523206751, "acc_stderr": 0.028146970599422644, "acc_norm": 0.7510548523206751, "acc_norm_stderr": 0.028146970599422644 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6457399103139013, "acc_stderr": 0.03210062154134987, "acc_norm": 0.6457399103139013, "acc_norm_stderr": 0.03210062154134987 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7251908396946565, "acc_stderr": 0.03915345408847836, "acc_norm": 0.7251908396946565, "acc_norm_stderr": 0.03915345408847836 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7768595041322314, "acc_stderr": 0.03800754475228732, "acc_norm": 0.7768595041322314, "acc_norm_stderr": 0.03800754475228732 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7685185185185185, "acc_stderr": 0.04077494709252627, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.04077494709252627 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7361963190184049, "acc_stderr": 0.034624199316156234, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.034624199316156234 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7087378640776699, "acc_stderr": 0.044986763205729245, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.044986763205729245 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8547008547008547, "acc_stderr": 0.02308663508684141, "acc_norm": 0.8547008547008547, "acc_norm_stderr": 0.02308663508684141 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7905491698595147, "acc_stderr": 0.014551310568143698, "acc_norm": 0.7905491698595147, "acc_norm_stderr": 0.014551310568143698 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6763005780346821, "acc_stderr": 0.025190181327608408, "acc_norm": 0.6763005780346821, "acc_norm_stderr": 0.025190181327608408 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.30614525139664805, "acc_stderr": 0.015414494487903226, "acc_norm": 0.30614525139664805, "acc_norm_stderr": 0.015414494487903226 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6830065359477124, "acc_stderr": 0.026643278474508755, "acc_norm": 0.6830065359477124, "acc_norm_stderr": 0.026643278474508755 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818774, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818774 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7006172839506173, "acc_stderr": 0.025483115601195448, "acc_norm": 0.7006172839506173, "acc_norm_stderr": 0.025483115601195448 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4645390070921986, "acc_stderr": 0.029752389657427047, "acc_norm": 0.4645390070921986, "acc_norm_stderr": 0.029752389657427047 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4061277705345502, "acc_stderr": 0.012543154588412942, "acc_norm": 0.4061277705345502, "acc_norm_stderr": 0.012543154588412942 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6433823529411765, "acc_stderr": 0.029097209568411955, "acc_norm": 0.6433823529411765, "acc_norm_stderr": 0.029097209568411955 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6111111111111112, "acc_stderr": 0.019722058939618068, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.019722058939618068 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7181818181818181, "acc_stderr": 0.043091187099464585, "acc_norm": 0.7181818181818181, "acc_norm_stderr": 0.043091187099464585 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7020408163265306, "acc_stderr": 0.029279567411065677, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065677 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7064676616915423, "acc_stderr": 0.03220024104534205, "acc_norm": 0.7064676616915423, "acc_norm_stderr": 0.03220024104534205 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774708, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774708 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4759036144578313, "acc_stderr": 0.03887971849597264, "acc_norm": 0.4759036144578313, "acc_norm_stderr": 0.03887971849597264 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8128654970760234, "acc_stderr": 0.02991312723236804, "acc_norm": 0.8128654970760234, "acc_norm_stderr": 0.02991312723236804 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.44920440636474906, "mc1_stderr": 0.01741294198611531, "mc2": 0.6416534233937677, "mc2_stderr": 0.015338593594048558 }, "harness\|winogrande\|5": { "acc": 0.7482241515390686, "acc_stderr": 0.01219848910025978 }, "harness\|gsm8k\|5": { "acc": 0.379833206974981, "acc_stderr": 0.013368818096960496 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More 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distilabel-internal-testing/instruction-dataset-sample	--- dataset_info: features: - name: prompt dtype: string - name: completion dtype: string splits: - name: test num_bytes: 8005 num_examples: 10 download_size: 8330 dataset_size: 8005 configs: - config_name: default data_files: - split: test path: data/test-* ---
qwtreue5u5trhdfgh/IllusionDiffusionGC	--- license: mit ---
open-llm-leaderboard/details_jondurbin__airoboros-65b-gpt4-1.4	--- pretty_name: Evaluation run of jondurbin/airoboros-65b-gpt4-1.4 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jondurbin/airoboros-65b-gpt4-1.4](https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 4 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 agregated 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_jondurbin__airoboros-65b-gpt4-1.4\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-29T17:40:12.862636](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-65b-gpt4-1.4/blob/main/results_2023-10-29T17-40-12.862636.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 \"em\": 0.048133389261744965,\n\ \ \"em_stderr\": 0.0021920523387187097,\n \"f1\": 0.11759647651006695,\n\ \ \"f1_stderr\": 0.0024834303220337473,\n \"acc\": 0.4884045517729164,\n\ \ \"acc_stderr\": 0.010955153685387409\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.048133389261744965,\n \"em_stderr\": 0.0021920523387187097,\n\ \ \"f1\": 0.11759647651006695,\n \"f1_stderr\": 0.0024834303220337473\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.18043972706595907,\n \ \ \"acc_stderr\": 0.010592508589147896\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7963693764798737,\n \"acc_stderr\": 0.011317798781626922\n\ \ }\n}\n```" repo_url: https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4 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: 2023_08_09T18_17_34.414751 path: - '/details_harness\|arc:challenge\|25_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-09T18:17:34.414751.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_23T05_17_46.947970 path: - '/details_harness\|drop\|3_2023-10-23T05-17-46.947970.parquet' - split: 2023_10_23T05_35_00.206888 path: - '/details_harness\|drop\|3_2023-10-23T05-35-00.206888.parquet' - split: 2023_10_29T17_40_12.862636 path: - '/details_harness\|drop\|3_2023-10-29T17-40-12.862636.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-29T17-40-12.862636.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_23T05_17_46.947970 path: - '/details_harness\|gsm8k\|5_2023-10-23T05-17-46.947970.parquet' - split: 2023_10_23T05_35_00.206888 path: - '/details_harness\|gsm8k\|5_2023-10-23T05-35-00.206888.parquet' - split: 2023_10_29T17_40_12.862636 path: - '/details_harness\|gsm8k\|5_2023-10-29T17-40-12.862636.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-29T17-40-12.862636.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hellaswag\|10_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T18:17:34.414751.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_09T18_17_34.414751 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-09T18:17:34.414751.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_23T05_17_46.947970 path: - '/details_harness\|winogrande\|5_2023-10-23T05-17-46.947970.parquet' - split: 2023_10_23T05_35_00.206888 path: - '/details_harness\|winogrande\|5_2023-10-23T05-35-00.206888.parquet' - split: 2023_10_29T17_40_12.862636 path: - '/details_harness\|winogrande\|5_2023-10-29T17-40-12.862636.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-29T17-40-12.862636.parquet' - config_name: results data_files: - split: 2023_08_09T18_17_34.414751 path: - results_2023-08-09T18:17:34.414751.parquet - split: 2023_10_23T05_17_46.947970 path: - results_2023-10-23T05-17-46.947970.parquet - split: 2023_10_23T05_35_00.206888 path: - results_2023-10-23T05-35-00.206888.parquet - split: 2023_10_29T17_40_12.862636 path: - results_2023-10-29T17-40-12.862636.parquet - split: latest path: - results_2023-10-29T17-40-12.862636.parquet --- # Dataset Card for Evaluation run of jondurbin/airoboros-65b-gpt4-1.4 ## Dataset Description - Homepage: - Repository: https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4 - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [jondurbin/airoboros-65b-gpt4-1.4](https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 4 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 agregated 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_jondurbin__airoboros-65b-gpt4-1.4", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-29T17:40:12.862636](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-65b-gpt4-1.4/blob/main/results_2023-10-29T17-40-12.862636.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": { "em": 0.048133389261744965, "em_stderr": 0.0021920523387187097, "f1": 0.11759647651006695, "f1_stderr": 0.0024834303220337473, "acc": 0.4884045517729164, "acc_stderr": 0.010955153685387409 }, "harness\|drop\|3": { "em": 0.048133389261744965, "em_stderr": 0.0021920523387187097, "f1": 0.11759647651006695, "f1_stderr": 0.0024834303220337473 }, "harness\|gsm8k\|5": { "acc": 0.18043972706595907, "acc_stderr": 0.010592508589147896 }, "harness\|winogrande\|5": { "acc": 0.7963693764798737, "acc_stderr": 0.011317798781626922 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
ch08931/sandyOV2	--- license: openrail ---
YuuSorata/Ellis	--- license: openrail ---
tyzhu/squad_qa_no_id_v5_full_random_permute_2	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 - name: answer dtype: string - name: context_id dtype: string - name: inputs dtype: string - name: targets dtype: string splits: - name: train num_bytes: 5042862.974380165 num_examples: 3365 - name: validation num_bytes: 342766 num_examples: 300 download_size: 1264341 dataset_size: 5385628.974380165 --- # Dataset Card for "squad_qa_no_id_v5_full_random_permute_2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mainuzzaman/newcoursedataset	--- license: apache-2.0 ---
NexaAI/fill50K	--- license: openrail dataset_info: features: - name: image dtype: image - name: conditioning_image dtype: image - name: text dtype: string splits: - name: train num_bytes: 2025713512.0 num_examples: 50000 download_size: 1910547936 dataset_size: 2025713512.0 ---
ruanchaves/bt11	--- annotations_creators: - expert-generated language_creators: - machine-generated language: - code license: - unknown multilinguality: - monolingual size_categories: - unknown source_datasets: - original task_categories: - structure-prediction task_ids: [] pretty_name: BT11 tags: - word-segmentation --- # Dataset Card for BT11 ## Dataset Description - Paper: [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf) ### Dataset Summary In programming languages, identifiers are tokens (also called symbols) which name language entities. Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages. BT11 is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier. ### Languages - Java ## Dataset Structure ### Data Instances ``` { "index": 20170, "identifier": "currentLineHighlight", "segmentation": "current Line Highlight" } ``` ### Data Fields - `index`: a numerical index. - `identifier`: the original identifier. - `segmentation`: the gold segmentation for the identifier. ## Dataset Creation - All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`. - The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields. - There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ). - If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field. ## Additional Information ### Citation Information ``` @inproceedings{butler2011improving, title={Improving the tokenisation of identifier names}, author={Butler, Simon and Wermelinger, Michel and Yu, Yijun and Sharp, Helen}, booktitle={European Conference on Object-Oriented Programming}, pages={130--154}, year={2011}, organization={Springer} } ``` ### Contributions This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.
puhsu/tabular-benchmarks	--- task_categories: - tabular-classification - tabular-regression pretty_name: tabualar-benchmarks --- Datasets used in the paper TODO To download the archive you could use: ```bash wget https://huggingface.co/datasets/puhsu/tabular-benchmarks/resolve/main/data.tar ```
r0ll/Ivanzolo2004	--- license: openrail language: - ru ---
open-llm-leaderboard/details_bofenghuang__vigogne-2-7b-chat	--- pretty_name: Evaluation run of bofenghuang/vigogne-2-7b-chat dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [bofenghuang/vigogne-2-7b-chat](https://huggingface.co/bofenghuang/vigogne-2-7b-chat)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\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_bofenghuang__vigogne-2-7b-chat\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T13:35:42.061271](https://huggingface.co/datasets/open-llm-leaderboard/details_bofenghuang__vigogne-2-7b-chat/blob/main/results_2023-09-22T13-35-42.061271.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 \"em\": 0.2779991610738255,\n\ \ \"em_stderr\": 0.0045880722162316605,\n \"f1\": 0.32825188758389273,\n\ \ \"f1_stderr\": 0.004516960799751206,\n \"acc\": 0.41080456661279235,\n\ \ \"acc_stderr\": 0.00980948368433141\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.2779991610738255,\n \"em_stderr\": 0.0045880722162316605,\n\ \ \"f1\": 0.32825188758389273,\n \"f1_stderr\": 0.004516960799751206\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.07733131159969674,\n \ \ \"acc_stderr\": 0.007357713523222347\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.744277821625888,\n \"acc_stderr\": 0.012261253845440473\n\ \ }\n}\n```" repo_url: https://huggingface.co/bofenghuang/vigogne-2-7b-chat 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: 2023_08_22T13_29_32.035608 path: - '/details_harness\|arc:challenge\|25_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-22T13:29:32.035608.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T13_35_42.061271 path: - '/details_harness\|drop\|3_2023-09-22T13-35-42.061271.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-22T13-35-42.061271.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T13_35_42.061271 path: - '/details_harness\|gsm8k\|5_2023-09-22T13-35-42.061271.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-22T13-35-42.061271.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hellaswag\|10_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:29:32.035608.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_22T13_29_32.035608 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T13:29:32.035608.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T13_35_42.061271 path: - '/details_harness\|winogrande\|5_2023-09-22T13-35-42.061271.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-22T13-35-42.061271.parquet' - config_name: results data_files: - split: 2023_09_22T13_35_42.061271 path: - results_2023-09-22T13-35-42.061271.parquet - split: latest path: - results_2023-09-22T13-35-42.061271.parquet --- # Dataset Card for Evaluation run of bofenghuang/vigogne-2-7b-chat ## Dataset Description - Homepage: - Repository: https://huggingface.co/bofenghuang/vigogne-2-7b-chat - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [bofenghuang/vigogne-2-7b-chat](https://huggingface.co/bofenghuang/vigogne-2-7b-chat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). 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_bofenghuang__vigogne-2-7b-chat", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T13:35:42.061271](https://huggingface.co/datasets/open-llm-leaderboard/details_bofenghuang__vigogne-2-7b-chat/blob/main/results_2023-09-22T13-35-42.061271.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": { "em": 0.2779991610738255, "em_stderr": 0.0045880722162316605, "f1": 0.32825188758389273, "f1_stderr": 0.004516960799751206, "acc": 0.41080456661279235, "acc_stderr": 0.00980948368433141 }, "harness\|drop\|3": { "em": 0.2779991610738255, "em_stderr": 0.0045880722162316605, "f1": 0.32825188758389273, "f1_stderr": 0.004516960799751206 }, "harness\|gsm8k\|5": { "acc": 0.07733131159969674, "acc_stderr": 0.007357713523222347 }, "harness\|winogrande\|5": { "acc": 0.744277821625888, "acc_stderr": 0.012261253845440473 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/fbd4ca1b	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 186 num_examples: 10 download_size: 1333 dataset_size: 186 --- # Dataset Card for "fbd4ca1b" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Amanaccessassist/playsent10m	--- dataset_info: features: - name: final_text dtype: string - name: label dtype: dtype: class_label: names: '0': Negative '1': Positive splits: - name: train num_bytes: 61468420.68408292 num_examples: 644415 - name: test num_bytes: 6829856.31591708 num_examples: 71602 download_size: 37372122 dataset_size: 68298277.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
nikchar/claim_detection_paper_test_squeezebert	--- dataset_info: features: - name: label dtype: string - name: claim dtype: string - name: evidence_wiki_url dtype: string - name: Is_Claim dtype: string - name: Claim_detection_result dtype: string splits: - name: train num_bytes: 1175947 num_examples: 11073 download_size: 507280 dataset_size: 1175947 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "claim_detection_paper_test_squeezebert" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
gcjavi/dataviewer-test	--- annotations_creators: - expert-generated language: - gl license: - mit multilinguality: - monolingual dataset_info: - config_name: config features: - name: audio_id dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: sentence dtype: string --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
CristoJV/image-folder	--- license: mit ---
minnesotanlp/LLM-Artifacts	--- configs: - config_name: task_label data_files: "intermodel_cleaned_maj_min.csv" - config_name: preference_p2c data_files: "p2c_human_gpt3_pref.csv" - config_name: preference_cobbler_GPT4 data_files: "cobbler_gpt4.csv" - config_name: preference_cobbler_ChatGPT data_files: "cobbler_chatgpt.csv" - config_name: instruction data_files: "first_order_annotations.csv" - config_name: simulation_roleflip data_files: "CAMEL_annotated.csv" - config_name: simulation_digression data_files: "spp_digression_fin.csv" - config_name: freeform_deepfake_human data_files: "deepfake_human.csv" - config_name: freeform_deepfake_machine data_files: "deepfake_machine-002.csv" - config_name: freeform_hc3_human data_files: "hc3_human.csv" - config_name: freeform_hc3_machine data_files: "hc3_machine.csv" - config_name: freeform_worker_human data_files: "worker_human.csv" - config_name: freeform_worker_machine data_files: "worker_machine.csv" - config_name: qual_tasklabel data_files: "qual_tasklabel.csv" - config_name: qual_preference_p2c data_files: "qual_preference_p2c.csv" - config_name: qual_freeform data_files: "qual_freetext.csv" --- <div align="center"> <h1>Under the Surface: Tracking the Artifactuality of LLM-Generated Data</h1> <!-- Authors: --> _Debarati Das<sup>†</sup><sup>¶</sup>, Karin de Langis<sup>¶</sup>, Anna Martin-Boyle<sup>¶</sup>, Jaehyung Kim<sup>¶</sup>, Minhwa Lee<sup>¶</sup>, Zae Myung Kim<sup>¶</sup><br>_ _Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Sachin Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu_ _Dongyeop Kang<br>_ _Minnesota NLP, University of Minnesota Twin Cities_ <!-- Affiliations: --> <sup>†</sup> Project Lead, <sup>¶</sup> Core Contribution, <a href="https://arxiv.org/abs/2401.14698"> Arxiv </a> <a href="https://minnesotanlp.github.io/artifact/"> Project Page </a> </div> ## 📌 Table of Contents - [Introduction](#🚀-introduction) - [Dataset Structure](#📝-dataset) - [Task Label](#1-task-label) - [Preference](#2-preference) - [Instructions](#3-instructions) - [Simulation](#4-simulation) - [Free-form Text](#5-free-form-text) - [Citation](#📚-citation) ## 🚀 Introduction <div align="center"> <img src="iceberg_modified.png" style="width:50%;height:auto;" align="center"> </div> We present a pioneering effort in gathering a diverse range of text data produced by LLMs, covering everything from more structured "task labels" to open-ended "free-form text." This comprehensive collection is significant as it allows for a unique and holistic examination of LLM outputs and provides insights into how LLMs perform under varying degrees of structure and freedom, which is essential for both understanding their current state and guiding future improvements and applications. We aggregate and conduct comprehensive stress tests on various data generated by LLMs using the existing benchmarks, offering a thorough evaluation of the quality, consistency, and reliability of LLM outputs across diverse models and scenarios, thereby providing a groundbreaking insight into their strengths and weaknesses for future research and development. Our research emphasizes the critical need for responsible and ethical practices in creating and using LLM-generated data, advocating for collaborative efforts among stakeholders to address biases, increase diversity, and deepen the understanding of complex human opinions in LLM outputs, thereby ensuring their development benefits society ethically and sustainably. ## 📝 Dataset The dataset consists of five different types of LLM-generated data: (1) Task Labels, (2) Preference, (3) Instructions, (4) Simulation, and (5) Free-form Texts. <hr> ### 1. Task Label #### (1) Dataset Info Contains human/machine annotations from source datasets and their majority/minority label aggregations. #### (2) Data Sources - License - [Social Bias Frames (SBIC)](https://huggingface.co/datasets/social_bias_frames) - cc-by-4.0 - [GAB Hate Corpus (GHC)](https://osf.io/edua3/) - cc-by-4.0 International - [Age-Related-Sentiment (Sentiment)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/F6EMTS) - cc-by-1.0 Universal - [Social Chemistry (Schem5Labels)](https://github.com/mbforbes/social-chemistry-101) - CC BY-SA 4.0 #### (3) Column Info - `'model_name'`: specifies the model that was prompted to generate the model annotations for the text. This can take values: vicuna, baize,llama2, koala, open_ai_gpt35turbo - `'dataset_name'`: specifies the source dataset of the text. This can take values: SBIC, GHC, Sentiment, and Schem5Labels - `'text_ind'`: this is the unique index of the text in the complete dataset - `'text'`: this is the text which the human or machine needs to provide an annotation for - `'prompt'`: This is the prompt provided to the model for the annotation task - `'human_annots'`: This consists of the list of annotations generated by human annotators for this task. These are ordinal categorical variables. - `'model_annots'`: This consists of the list of annotations generated by model annotators for this task. These are ordinal categorical variables. If a value is -1 in this list, it means the model did not return a response for this text. - `'human_majority'`: this consists of a list containing the majority annotation value(s) among the human-annotated list for that text. - `'machine_majority'`: this consists of a list containing the majority annotation value(s) among the machine-annotated list for that text. - `'human_minority'`: this consists of a list containing the minority annotation value(s) among the human-annotated list for that text. - `'machine_minority'`: this consists of a list containing the minority annotation value(s) among the machine-annotated list for that text. #### (4) How to access There is one subset associated with this data type: - task_label: intermodel setup with majority/minority opinions aggregated from all data sources Use the example code below to load the task label split. Change the split name. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "task_label", split='train') # streaming=True (optional) ``` #### (5) Qualitative Analysis To view examples used in the qualitative analysis regarding bias annotations, please copy and paste the below code: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "qual_tasklabel", split='train') ``` #### (6) Others For majority/minority calculation, please note the following: - A list of values that are the majority or minority values in the passed list is returned. For example, if the given input list is [1.0,1.0,2.0,2.0,3.0], then majority value will be [1.0,2.0] and the minority value will be [3.0] - If all values in the annotation list are -1, then no valid majority or minority can be calculated. Therefore, None is returned. - If all unique values are present in the annotation list, then no valid majority or minority can be calculated. Therefore, None is returned. <hr> ### 2. Preference #### (1) Dataset Info Contains Human/Machine Preferences from source datasets and their locality lexicon (for p2c) and entailment (for CoBBLEr) preference. #### (2) Data Sources (License) - [Prefer to Classify ('p2c')](https://arxiv.org/pdf/2306.04925.pdf) - Note that the sentences are originally extracted from [DynaSent Round 2](https://huggingface.co/datasets/dynabench/dynasent/viewer/dynabench.dynasent.r2.all) - [CoBBLEr](https://minnesotanlp.github.io/cobbler-project-page/demo/index.html) - The sentences are originally extracted from [Eli5](https://huggingface.co/datasets/eli5) and [BigBench](https://huggingface.co/datasets/bigbench). #### (3) Column Info Commonly for each row, there are a pair of sentences ('sent_1' and 'sent_2'), with human and machine preferences. - Preference Label 0: prefer sent_1 - Preference Label 1: prefer sent_2 - Preference Label 2: tie (no preference) For p2c dataset, there are the sentiment lexicon-based preference and the difference score between the two sentences in each row. - `'sent_1'`: sentence 1 of a pair - `'sent_2'`: sentence 2 of a pair - `'gold_label'`: the gold sentiment label of both `'sent_1'` and `'sent_2'` (e.g., positive/negative/neutral) - `'human_pref'`: human preference - `'gpt3_pref'`: GPT-3 preference - `'lexicon_pref'`: the lexicon-based preference between `'sent_1'` and `'sent_2'` - `'lexicon_diff'`: the difference in lexicon scores between sentence pairs For CoBBLEr dataset, there are textual entailment-based preferences and difference scores between the sentences in each row. - `'model_1'`: the model name that generated sentence 1 - `'model_2'`: the model name that generated sentence 2 - `'sentence_1'`: sentence 1 of a pair - `'sentence_2'`: sentence 2 of a pair - `'human_pref'`: human preference - `'machine_pref'`: LLM preference (GPT-4 or ChatGPT) - `'entail_pref'`: the entailment-based preference between `'sentence_1'` and `'sentence_2'` - `'entail_diff'`: the difference in entailment scores (computed by RoBERTa-large-MNLI) between two sentences in a pair. #### (4) How to access There are three subsets associated with this data type: - preference_p2c: p2c data with human and GPT-3 preferences - preference_cobbler_gpt4: cobbler data with human and GPT-4 preferences - preference_cobbler_chatgpt: cobbler with human and ChatGPT preferences Use the example code below to load the subset of preference_cobbler_gpt4. Change the subset name. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "preference_cobbler_gpt4", split='train') ``` #### (5) Qualitative Analysis For `'p2c'` dataset, we release the data with each sentence in a pair annotated with extracted lexicons based on [Hayati et al (2021)](https://aclanthology.org/2021.emnlp-main.510/). Also, for several columns in this data, their value consists of a dictionary where each key is the extracted lexicon and its value is the corresponding importance. For example, the column `'sent_{1/2}_anger'`is a dictionary of anger-related lexicons with the corresponding importance scores in the (first/second) sentence. Our study uses the first key with the maximum value score in each lexicon group to decide lexicon-based preferences. To use this dataset, please note the following: ```python import pandas as pd dataset = load_dataset("minnesotanlp/LLM-Artifacts", "qual_preference_p2c", split='train') dataset = pd.DataFrame(dataset) ``` For sentence pairs of positive sentiment, we used the following columns: - `'sent_{1/2}_{joy/politeness}_words'` and - `'sent_{1/2}_sentiment_words'` that has values of greater than 0 (positive). Conversely, for the pairs of negative sentiments, we used the following columns: - `'sent_{1/2}_{anger/disgust/fear/sad/offensive}_words'`, - `'sent_{1/2}_polite_words'` that has values of below 0 (rudeness) and - `'sent_{1/2}_sentiment_words'` that has values of below 0 (negative). #### (6) Others <hr> ### 3. Instructions #### (1) Dataset Info (1) Human annotations of error types in 800 examples from four different synthetic instruction datasets, and (2) three random samplings of 10k samples for each of the following datasets: Cleaned Alpaca, Dolly, Self Instruct, and Supernatural Instructions. There is a total of 30k samples for each of the datasets (3 seeds each). #### (2) Data Sources (License) - [Unnatural Instructions](https://github.com/orhonovich/unnatural-instructions) - MIT - [Self-Instruct](https://github.com/yizhongw/self-instruct) - Apache License 2.0 - [Alpaca-Cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) - Creative Commons NonCommercial (CC BY-NC 4.0). - [GPT-4-LLM](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) - Creative Commons NonCommercial (CC BY-NC 4.0). - [Dolly](https://github.com/databrickslabs/dolly) - Apache License 2.0 - [Supernatural Instructions](https://github.com/allenai/natural-instructions) - Apache License 2.0 #### (3) Column Info (1) Error Annotations - `'instruction'`: an instruction to follow - `'constraints'`: samples from the Unnatural Instruction set have an additional data type called `'constraints'`, which specify the form the output should take (e.g. `output should be 'True' or 'False'`) - `'input'`: an input to the corresponding instruction - `'output'`: the output given the corresponding instruction and the input - `'dataset'`: the name of the source dataset that the instruction comes from - `'QA_type'`: the question-answer type (Open-QA or Closed-QA) - `'error'`: the error type (one of the following: incomprehensible instruction, inconsistent input, inconsistent output, and incorrect output) - `'second_error'`: sometimes a sample contains more than one error; a second error will be denoted in this column - `'third_error'`: a third error will be denoted in this column #### (4) How to access (1) Error Annotations: - instruction: first-order experiment setup with error type annotations aggregated from all data sources Use the example code below to load the instruction subset. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "instruction", split='train') ``` #### (5) Qualitative Analysis The `'instruction'` experiment is based on the manual annotations of each error type found in the synthetic datasets. Thus, if you want to view examples for qualitative analysis, use the same split information as below: ```python from datasets import load_dataset import pandas as pd dataset = load_dataset("minnesotanlp/LLM-Artifacts", "instruction", split='train') data = pd.read_csv(dataset) ``` #### (6) Others For the second-order experiment, Please use [this dataset (`instruction_fine-tuning_data.csv`)](https://huggingface.co/datasets/minnesotanlp/LLM-Artifacts/resolve/main/instruction_fine-tuning_data.csv). The following is the column information: - `'task_name'`: the name of the instruction task. Only pertains to Supernatural Instructions - `'id'`: the Supernatural Instruction id - `'instruction'`: an instruction to follow - `'input'`: an input to the corresponding instruction - `'output'`: the output given the corresponding instruction and the input - `'categories'`: the task type. Only pertains to Supernatural Instructions - `'source'`: the instruction source - `'seed'`: the seed used for the random sampling. One of the following: 2021, 2022, or 2023 <hr> ### 4. Simulation #### (1) Dataset Info Contains (1) role-flipping information or (2) types of error in digression in simulated agent conversations. #### (2) Data Sources (License) - [CAMEL AI-Society](https://huggingface.co/datasets/camel-ai/ai_society) - CC-BY-NC 4.0 - [Solo Performance Prompting Grid-World (SPP)](https://github.com/MikeWangWZHL/Solo-Performance-Prompting) - N/A #### (3) Column Info (1) Regarding 'CAMEL': - `'role_flipping_msg_indices'`: a list of indices of role-flipped messages in the conversation - `'interruption_msg_indices'`: a list of indices of interruption messages in the conversation - `'role_flipping_happens'`: boolean true when role_flipping_msg_indices is not empty (2) Regarding 'SPP': - `'Given Task'`: Given questions with detailed descriptions. The questions are from SPP logic grid puzzle dataset. - `'Task Label'`: Answer to the given question, which is originally provided by SPP dataset - `'Response of GPT-4'`: Simulated conversations by multiple agents, generated by GPT-4. These responses are also from SPP dataset itself (method-“spp_engine-devgpt4-32k_temp-0.0_topp-1.0_start0-end200__with_sys_mes”). - `'Prediction of digression by GPT-4'`: Binary prediction (yes or no) about the existence of digression within (c) the simulated conversation. - `'Reasoning of digression by GPT-4'`: Reasoning about (d) the prediction of digression. - `'Classification of digression'`: For the simulated conversation predicted to have digression by (d), we further classify the types of digression using GPT-4 again. For the data without digression, this field is provided with ‘N/A’. - `'Prediction as human-like by GPT-4'`: Binary prediction (human or ai) about the likeliness of (c) given conversation as human’s conversation. - `'Reasoning as human-like by GPT-4'`: Reasoning about (g) the prediction as human-like. - `'Prediction of digression by Human Annotators'`: Binary prediction (yes or no) about the existence of digression within (c) the simulated conversation, by three different human annotators. - `'Prediction as human-like by Human Annotators'`: Binary prediction (human or ai) about the likeliness of (c) given conversation as human’s conversation, by three different human annotators. #### (4) How to access There are two subsets associated with this data type: - simulation_roleflip: role-flipping information from CAMEL AI Society dataset - simulation_digression: digression type information from SPP dataset Use the example code below to load the digression subset. Change the subset name like this: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "simulation_digression", split="train") ``` #### (5) Qualitative Analysis Only the subset simulation_digression contains human/GPT annotations for each simulated conversation between agents. Therefore, please use the following code to view the qualitative analysis part of the simulation section: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "simulation_digression", split="train", streaming=True) ``` #### (6) Others To get a better prediction and corresponding reasoning for it, please first generate the prediction, and then generate the reasoning as provided in the code. <hr> ### 5. Free-form Text #### (1) Dataset Info Contains Human/Machine texts from source datasets and their classification scores. If a machine text has a paired human text, the human text's id is associated with the machine texts. #### (2) Data Sources - License - [Workers vs GPT ('Workers')](https://github.com/AndersGiovanni/worker_vs_gpt) - MIT - [Human ChatGPT Comparison Corpus ('HC3')](https://huggingface.co/datasets/Hello-SimpleAI/HC3) - BSD License - [Deepfake Text Detection in the Wild ('Deepfake')](https://huggingface.co/datasets/yaful/DeepfakeTextDetect) - Apache License 2.0 #### (3) Column Info Human data – 'text', 'label', 'id', 'anger', 'disgust', 'fear', 'joy', 'neutral', 'sadness', 'surprise', 'irony', 'toxicity', 'formality', 'metaphor' <br> Machine data – 'text', 'label', 'model', 'strat', 'human_id', 'anger', 'disgust', 'fear', 'joy', 'neutral', 'sadness', 'surprise', 'irony', 'toxicity', 'formality', 'metaphor' - `'strat'` is the prompting strat; this is relevant for only a subset of the data; 'human_id' is the id of the human text that is its pair, if any - `'label'` is the label for text classification - Other attributes are just outputs from classifiers, so not GTs #### (4) How to access There are six subsets associated with this data type: - freeform_deepfake_{(human, machine)}: human/machine outputs from Deepfake dataset - freeform_hc3_{(human, machine)}: human/machine outputs from HC3 dataset - freeform_workers_{(human, machine)}: human/machine outputs from Workers dataset Use the example code below to load the subset of human outputs from deepfake dataset. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "freeform_deepfake_human", split="train") ``` #### (5) Qualitative Analysis To view examples used in the qualitative analysis, please copy and paste the below code: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "qual_freeform", split="train") ``` #### (6) Others For Discourse artifact analyses, please download the following two pickle files to see the network motifs: - [Network Motiffs (Validation)](https://huggingface.co/datasets/minnesotanlp/LLM-Artifacts/resolve/main/DeepfakeTextDetect.validation.discourse_added.networkx_added.motifs_added.pkl) - [Network Motiffs (Test)](https://huggingface.co/datasets/minnesotanlp/LLM-Artifacts/resolve/main/DeepfakeTextDetect.test.discourse_added.networkx_added.motifs_added.pkl) <hr> ## 📚 Citation If you use our paper or this dataset in your research, please cite it as follows: ```bibtex @misc{das2024surface, title={Under the Surface: Tracking the Artifactuality of LLM-Generated Data}, author={Debarati Das and Karin De Langis and Anna Martin and Jaehyung Kim and Minhwa Lee and Zae Myung Kim and Shirley Hayati and Risako Owan and Bin Hu and Ritik Parkar and Ryan Koo and Jonginn Park and Aahan Tyagi and Libby Ferland and Sanjali Roy and Vincent Liu and Dongyeop Kang}, year={2024}, eprint={2401.14698}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` If you have any questions or feedback, please feel free to reach out at lee03533@umn.edu. <!-- # 🤝 Contributing -->
alex-miller/cdp-paf-meta-synthetic	--- dataset_info: features: - name: text dtype: string - name: labels dtype: string splits: - name: train num_bytes: 2228611.265822785 num_examples: 3850 - name: test num_bytes: 390197.5 num_examples: 495 download_size: 1017815 dataset_size: 2618808.765822785 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
hotal/emergency_classification	--- task_categories: - text-classification language: - en pretty_name: emergency_classification --- # Emergency Messages Classification Dataset
Yorth/dalleTestDataFiltered2	--- dataset_info: features: - name: image dtype: image - name: caption dtype: string - name: resolution dtype: string splits: - name: train num_bytes: 1219548166.4310646 num_examples: 4580 download_size: 1215430674 dataset_size: 1219548166.4310646 configs: - config_name: default data_files: - split: train path: data/train-* ---
Multimodal-Fatima/Caltech101_not_background_test_embeddings	--- dataset_info: features: - name: image dtype: image - name: id dtype: int64 - name: vision_embeddings sequence: float32 splits: - name: openai_clip_vit_large_patch14 num_bytes: 95535909.0 num_examples: 5647 download_size: 98967583 dataset_size: 95535909.0 --- # Dataset Card for "Caltech101_not_background_test_embeddings" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_JosephusCheung__Pwen-7B-Chat-20_30	--- pretty_name: Evaluation run of JosephusCheung/Pwen-7B-Chat-20_30 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [JosephusCheung/Pwen-7B-Chat-20_30](https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\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_JosephusCheung__Pwen-7B-Chat-20_30\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T02:42:36.258115](https://huggingface.co/datasets/open-llm-leaderboard/details_JosephusCheung__Pwen-7B-Chat-20_30/blob/main/results_2023-10-26T02-42-36.258115.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 \"em\": 0.2954068791946309,\n\ \ \"em_stderr\": 0.004672175556184236,\n \"f1\": 0.3814209312080561,\n\ \ \"f1_stderr\": 0.004573085663083055,\n \"acc\": 0.44525521893903264,\n\ \ \"acc_stderr\": 0.012103729416391124\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.2954068791946309,\n \"em_stderr\": 0.004672175556184236,\n\ \ \"f1\": 0.3814209312080561,\n \"f1_stderr\": 0.004573085663083055\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.20621683093252463,\n \ \ \"acc_stderr\": 0.011144364089781436\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6842936069455406,\n \"acc_stderr\": 0.01306309474300081\n\ \ }\n}\n```" repo_url: https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30 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: 2023_10_10T07_01_15.573690 path: - '/details_harness\|arc:challenge\|25_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-10T07-01-15.573690.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T02_42_36.258115 path: - '/details_harness\|drop\|3_2023-10-26T02-42-36.258115.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T02-42-36.258115.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T02_42_36.258115 path: - '/details_harness\|gsm8k\|5_2023-10-26T02-42-36.258115.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T02-42-36.258115.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hellaswag\|10_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-01-15.573690.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T07_01_15.573690 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T07-01-15.573690.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T02_42_36.258115 path: - '/details_harness\|winogrande\|5_2023-10-26T02-42-36.258115.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T02-42-36.258115.parquet' - config_name: results data_files: - split: 2023_10_10T07_01_15.573690 path: - results_2023-10-10T07-01-15.573690.parquet - split: 2023_10_26T02_42_36.258115 path: - results_2023-10-26T02-42-36.258115.parquet - split: latest path: - results_2023-10-26T02-42-36.258115.parquet --- # Dataset Card for Evaluation run of JosephusCheung/Pwen-7B-Chat-20_30 ## Dataset Description - Homepage: - Repository: https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30 - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [JosephusCheung/Pwen-7B-Chat-20_30](https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). 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_JosephusCheung__Pwen-7B-Chat-20_30", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T02:42:36.258115](https://huggingface.co/datasets/open-llm-leaderboard/details_JosephusCheung__Pwen-7B-Chat-20_30/blob/main/results_2023-10-26T02-42-36.258115.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": { "em": 0.2954068791946309, "em_stderr": 0.004672175556184236, "f1": 0.3814209312080561, "f1_stderr": 0.004573085663083055, "acc": 0.44525521893903264, "acc_stderr": 0.012103729416391124 }, "harness\|drop\|3": { "em": 0.2954068791946309, "em_stderr": 0.004672175556184236, "f1": 0.3814209312080561, "f1_stderr": 0.004573085663083055 }, "harness\|gsm8k\|5": { "acc": 0.20621683093252463, "acc_stderr": 0.011144364089781436 }, "harness\|winogrande\|5": { "acc": 0.6842936069455406, "acc_stderr": 0.01306309474300081 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
SamukaBrenner20/milesmoralesinsomniac	--- license: openrail ---
cezar-dan-licenta-2023/RoCoLe-Variants	--- dataset_info: - config_name: original features: - name: image dtype: image - name: label dtype: class_label: names: '0': healthy '1': red_spider_mite '2': rust_mild '3': rust_medium '4': rust_severe splits: - name: train num_bytes: 12381788 num_examples: 936 - name: validation num_bytes: 4157145 num_examples: 312 - name: test num_bytes: 4136740 num_examples: 312 download_size: 21824000 dataset_size: 20675673 - config_name: no-background features: - name: image dtype: image - name: label dtype: class_label: names: '0': healthy '1': red_spider_mite '2': rust_mild '3': rust_medium '4': rust_severe splits: - name: train num_bytes: 12381788 num_examples: 936 - name: validation num_bytes: 4157145 num_examples: 312 - name: test num_bytes: 4136740 num_examples: 312 download_size: 21824000 dataset_size: 20675673 ---
heliosprime/twitter_dataset_1713147558	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 4375 num_examples: 12 download_size: 8770 dataset_size: 4375 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "twitter_dataset_1713147558" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2	--- pretty_name: Evaluation run of YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2](https://huggingface.co/YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2)\ \ 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 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\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_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-25T23:45:49.787204](https://huggingface.co/datasets/open-llm-leaderboard/details_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2/blob/main/results_2024-01-25T23-45-49.787204.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\": 0.64746083935561,\n\ \ \"acc_stderr\": 0.03226131925966174,\n \"acc_norm\": 0.6469056397588263,\n\ \ \"acc_norm_stderr\": 0.032934341547214946,\n \"mc1\": 0.5887392900856793,\n\ \ \"mc1_stderr\": 0.017225627083660877,\n \"mc2\": 0.7224895419988183,\n\ \ \"mc2_stderr\": 0.014945205654147512\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.7090443686006825,\n \"acc_stderr\": 0.013273077865907586,\n\ \ \"acc_norm\": 0.7312286689419796,\n \"acc_norm_stderr\": 0.012955065963710693\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7401911969727146,\n\ \ \"acc_stderr\": 0.004376333451909804,\n \"acc_norm\": 0.8922525393347939,\n\ \ \"acc_norm_stderr\": 0.003094275186361527\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.0378272898086547,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.0378272898086547\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.63,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.028152837942493857,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.028152837942493857\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7708333333333334,\n\ \ \"acc_stderr\": 0.03514697467862388,\n \"acc_norm\": 0.7708333333333334,\n\ \ \"acc_norm_stderr\": 0.03514697467862388\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6473988439306358,\n\ \ \"acc_stderr\": 0.036430371689585475,\n \"acc_norm\": 0.6473988439306358,\n\ \ \"acc_norm_stderr\": 0.036430371689585475\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.04878608714466996,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.04878608714466996\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5829787234042553,\n \"acc_stderr\": 0.03223276266711712,\n\ \ \"acc_norm\": 0.5829787234042553,\n \"acc_norm_stderr\": 0.03223276266711712\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.046920083813689104,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.046920083813689104\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370332,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370332\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.02548718714785938,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.02548718714785938\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.04444444444444449,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.04444444444444449\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7709677419354839,\n\ \ \"acc_stderr\": 0.023904914311782648,\n \"acc_norm\": 0.7709677419354839,\n\ \ \"acc_norm_stderr\": 0.023904914311782648\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\ : 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7727272727272727,\n \"acc_stderr\": 0.029857515673386414,\n \"\ acc_norm\": 0.7727272727272727,\n \"acc_norm_stderr\": 0.029857515673386414\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.02199531196364424,\n\ \ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.02199531196364424\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6717948717948717,\n \"acc_stderr\": 0.023807633198657266,\n\ \ \"acc_norm\": 0.6717948717948717,\n \"acc_norm_stderr\": 0.023807633198657266\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34444444444444444,\n \"acc_stderr\": 0.02897264888484427,\n \ \ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.02897264888484427\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.03038835355188679,\n \ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.03038835355188679\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\ acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8366972477064221,\n \"acc_stderr\": 0.01584825580650155,\n \"\ acc_norm\": 0.8366972477064221,\n \"acc_norm_stderr\": 0.01584825580650155\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5138888888888888,\n \"acc_stderr\": 0.03408655867977749,\n \"\ acc_norm\": 0.5138888888888888,\n \"acc_norm_stderr\": 0.03408655867977749\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8284313725490197,\n \"acc_stderr\": 0.026460569561240644,\n \"\ acc_norm\": 0.8284313725490197,\n \"acc_norm_stderr\": 0.026460569561240644\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601443,\n \ \ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601443\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.0364129708131373,\n\ \ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.0364129708131373\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.03322015795776741,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.03322015795776741\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.41964285714285715,\n\ \ \"acc_stderr\": 0.046840993210771065,\n \"acc_norm\": 0.41964285714285715,\n\ \ \"acc_norm_stderr\": 0.046840993210771065\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.021901905115073325,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.021901905115073325\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834834,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834834\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7254335260115607,\n \"acc_stderr\": 0.024027745155265026,\n\ \ \"acc_norm\": 0.7254335260115607,\n \"acc_norm_stderr\": 0.024027745155265026\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.43687150837988825,\n\ \ \"acc_stderr\": 0.01658868086453063,\n \"acc_norm\": 0.43687150837988825,\n\ \ \"acc_norm_stderr\": 0.01658868086453063\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6993464052287581,\n \"acc_stderr\": 0.02625605383571896,\n\ \ \"acc_norm\": 0.6993464052287581,\n \"acc_norm_stderr\": 0.02625605383571896\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7170418006430869,\n\ \ \"acc_stderr\": 0.025583062489984813,\n \"acc_norm\": 0.7170418006430869,\n\ \ \"acc_norm_stderr\": 0.025583062489984813\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.02409347123262133,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.02409347123262133\n \ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.029827499313594685,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.029827499313594685\n },\n \"harness\|hendrycksTest-professional_law\|5\"\ : {\n \"acc\": 0.46284224250325945,\n \"acc_stderr\": 0.012734923579532069,\n\ \ \"acc_norm\": 0.46284224250325945,\n \"acc_norm_stderr\": 0.012734923579532069\n\ \ },\n \"harness\|hendrycksTest-professional_medicine\|5\": {\n \"acc\"\ : 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n \"\ acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6715686274509803,\n \"acc_stderr\": 0.018999707383162673,\n \ \ \"acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.018999707383162673\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.02866685779027465,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.02866685779027465\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8258706467661692,\n\ \ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\ \ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5887392900856793,\n\ \ \"mc1_stderr\": 0.017225627083660877,\n \"mc2\": 0.7224895419988183,\n\ \ \"mc2_stderr\": 0.014945205654147512\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8468823993685872,\n \"acc_stderr\": 0.010120623252272962\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6550416982562547,\n \ \ \"acc_stderr\": 0.013093630133666238\n }\n}\n```" repo_url: https://huggingface.co/YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2 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_01_25T23_34_45.930119 path: - '/details_harness\|arc:challenge\|25_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|arc:challenge\|25_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-01-25T23-45-49.787204.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|gsm8k\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|gsm8k\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hellaswag\|10_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hellaswag\|10_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-25T23-34-45.930119.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-25T23-45-49.787204.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-01-25T23-45-49.787204.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '/details_harness\|winogrande\|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '/details_harness\|winogrande\|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-01-25T23-45-49.787204.parquet' - config_name: results data_files: - split: 2024_01_25T23_34_45.930119 path: - results_2024-01-25T23-34-45.930119.parquet - split: 2024_01_25T23_45_49.787204 path: - results_2024-01-25T23-45-49.787204.parquet - split: latest path: - results_2024-01-25T23-45-49.787204.parquet --- # Dataset Card for Evaluation run of YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2](https://huggingface.co/YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2) 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 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. 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_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-25T23:45:49.787204](https://huggingface.co/datasets/open-llm-leaderboard/details_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2/blob/main/results_2024-01-25T23-45-49.787204.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": 0.64746083935561, "acc_stderr": 0.03226131925966174, "acc_norm": 0.6469056397588263, "acc_norm_stderr": 0.032934341547214946, "mc1": 0.5887392900856793, "mc1_stderr": 0.017225627083660877, "mc2": 0.7224895419988183, "mc2_stderr": 0.014945205654147512 }, "harness\|arc:challenge\|25": { "acc": 0.7090443686006825, "acc_stderr": 0.013273077865907586, "acc_norm": 0.7312286689419796, "acc_norm_stderr": 0.012955065963710693 }, "harness\|hellaswag\|10": { "acc": 0.7401911969727146, "acc_stderr": 0.004376333451909804, "acc_norm": 0.8922525393347939, "acc_norm_stderr": 0.003094275186361527 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7018867924528301, "acc_stderr": 0.028152837942493857, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.028152837942493857 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7708333333333334, "acc_stderr": 0.03514697467862388, "acc_norm": 0.7708333333333334, "acc_norm_stderr": 0.03514697467862388 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6473988439306358, "acc_stderr": 0.036430371689585475, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.036430371689585475 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5829787234042553, "acc_stderr": 0.03223276266711712, "acc_norm": 0.5829787234042553, "acc_norm_stderr": 0.03223276266711712 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4649122807017544, "acc_stderr": 0.046920083813689104, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.046920083813689104 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5724137931034483, "acc_stderr": 0.04122737111370332, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.04122737111370332 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.02548718714785938, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.02548718714785938 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4444444444444444, "acc_stderr": 0.04444444444444449, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.04444444444444449 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7709677419354839, "acc_stderr": 0.023904914311782648, "acc_norm": 0.7709677419354839, "acc_norm_stderr": 0.023904914311782648 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7818181818181819, "acc_stderr": 0.03225078108306289, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.03225078108306289 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7727272727272727, "acc_stderr": 0.029857515673386414, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.029857515673386414 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8963730569948186, "acc_stderr": 0.02199531196364424, "acc_norm": 0.8963730569948186, "acc_norm_stderr": 0.02199531196364424 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6717948717948717, "acc_stderr": 0.023807633198657266, "acc_norm": 0.6717948717948717, "acc_norm_stderr": 0.023807633198657266 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34444444444444444, "acc_stderr": 0.02897264888484427, "acc_norm": 0.34444444444444444, "acc_norm_stderr": 0.02897264888484427 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6764705882352942, "acc_stderr": 0.03038835355188679, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.03038835355188679 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.31788079470198677, "acc_stderr": 0.038020397601079024, "acc_norm": 0.31788079470198677, "acc_norm_stderr": 0.038020397601079024 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8366972477064221, "acc_stderr": 0.01584825580650155, "acc_norm": 0.8366972477064221, "acc_norm_stderr": 0.01584825580650155 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5138888888888888, "acc_stderr": 0.03408655867977749, "acc_norm": 0.5138888888888888, "acc_norm_stderr": 0.03408655867977749 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8284313725490197, "acc_stderr": 0.026460569561240644, "acc_norm": 0.8284313725490197, "acc_norm_stderr": 0.026460569561240644 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7974683544303798, "acc_stderr": 0.026160568246601443, "acc_norm": 0.7974683544303798, "acc_norm_stderr": 0.026160568246601443 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7786259541984732, "acc_stderr": 0.0364129708131373, "acc_norm": 0.7786259541984732, "acc_norm_stderr": 0.0364129708131373 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7592592592592593, "acc_stderr": 0.04133119440243838, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.04133119440243838 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7668711656441718, "acc_stderr": 0.03322015795776741, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.03322015795776741 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.41964285714285715, "acc_stderr": 0.046840993210771065, "acc_norm": 0.41964285714285715, "acc_norm_stderr": 0.046840993210771065 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7669902912621359, "acc_stderr": 0.04185832598928315, "acc_norm": 0.7669902912621359, "acc_norm_stderr": 0.04185832598928315 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8717948717948718, "acc_stderr": 0.021901905115073325, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.021901905115073325 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.68, "acc_stderr": 0.046882617226215034, "acc_norm": 0.68, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834834, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834834 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7254335260115607, "acc_stderr": 0.024027745155265026, "acc_norm": 0.7254335260115607, "acc_norm_stderr": 0.024027745155265026 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.43687150837988825, "acc_stderr": 0.01658868086453063, "acc_norm": 0.43687150837988825, "acc_norm_stderr": 0.01658868086453063 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6993464052287581, "acc_stderr": 0.02625605383571896, "acc_norm": 0.6993464052287581, "acc_norm_stderr": 0.02625605383571896 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7170418006430869, "acc_stderr": 0.025583062489984813, "acc_norm": 0.7170418006430869, "acc_norm_stderr": 0.025583062489984813 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.75, "acc_stderr": 0.02409347123262133, "acc_norm": 0.75, "acc_norm_stderr": 0.02409347123262133 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5, "acc_stderr": 0.029827499313594685, "acc_norm": 0.5, "acc_norm_stderr": 0.029827499313594685 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.46284224250325945, "acc_stderr": 0.012734923579532069, "acc_norm": 0.46284224250325945, "acc_norm_stderr": 0.012734923579532069 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6764705882352942, "acc_stderr": 0.02841820861940676, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.02841820861940676 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6715686274509803, "acc_stderr": 0.018999707383162673, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.018999707383162673 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7224489795918367, "acc_stderr": 0.02866685779027465, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.02866685779027465 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8258706467661692, "acc_stderr": 0.026814951200421603, "acc_norm": 0.8258706467661692, "acc_norm_stderr": 0.026814951200421603 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5542168674698795, "acc_stderr": 0.03869543323472101, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.03869543323472101 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5887392900856793, "mc1_stderr": 0.017225627083660877, "mc2": 0.7224895419988183, "mc2_stderr": 0.014945205654147512 }, "harness\|winogrande\|5": { "acc": 0.8468823993685872, "acc_stderr": 0.010120623252272962 }, "harness\|gsm8k\|5": { "acc": 0.6550416982562547, "acc_stderr": 0.013093630133666238 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- 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. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- 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. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- 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. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- 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. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
LLM-Editor/animals	--- dataset_info: features: - name: Animal dtype: string - name: Taxonomic Rank dtype: string - name: Definition dtype: string splits: - name: train num_bytes: 52655 num_examples: 300 download_size: 7036 dataset_size: 52655 --- # Dataset Card for "animals" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Toflamus/alpaca_data_split	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 17099808.501826853 num_examples: 46801 - name: test num_bytes: 1900303.4981731472 num_examples: 5201 download_size: 12068449 dataset_size: 19000112.0 --- # Dataset Card for "alpaca_data_split" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
betogaunt2/vozbeto	--- license: openrail ---
irds/lotte_recreation_test	--- pretty_name: '`lotte/recreation/test`' viewer: false source_datasets: [] task_categories: - text-retrieval --- # Dataset Card for `lotte/recreation/test` The `lotte/recreation/test` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/lotte#lotte/recreation/test). # Data This dataset provides: - `docs` (documents, i.e., the corpus); count=166,975 This dataset is used by: [`lotte_recreation_test_forum`](https://huggingface.co/datasets/irds/lotte_recreation_test_forum), [`lotte_recreation_test_search`](https://huggingface.co/datasets/irds/lotte_recreation_test_search) ## Usage ```python from datasets import load_dataset docs = load_dataset('irds/lotte_recreation_test', 'docs') for record in docs: record # {'doc_id': ..., 'text': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format. ## Citation Information ``` @article{Santhanam2021ColBERTv2, title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction", author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", journal= "arXiv preprint arXiv:2112.01488", year = "2021", url = "https://arxiv.org/abs/2112.01488" } ```
Tobius/teric_asr_lab	--- license: cc0-1.0 ---
yijingwu/HeySQuAD_human	--- license: cc-by-4.0 dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string - name: question dtype: string - name: context dtype: string - name: answers list: - name: answer_start dtype: int64 - name: text dtype: string - name: is_impossible dtype: bool - name: id dtype: string - name: plausible_answers list: - name: answer_start dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 15547759456.9 num_examples: 71990 - name: validation num_bytes: 867205293.036 num_examples: 4158 download_size: 14616752976 dataset_size: 16414964749.935999 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* --- citation: @misc{wu2023heysquad, title={HeySQuAD: A Spoken Question Answering Dataset}, author={Yijing Wu and SaiKrishna Rallabandi and Ravisutha Srinivasamurthy and Parag Pravin Dakle and Alolika Gon and Preethi Raghavan}, year={2023}, eprint={2304.13689}, archivePrefix={arXiv}, primaryClass={cs.CL} }
biswa921/hiwiki-latest-pages-articles-raw	--- license: apache-2.0 dataset_info: features: - name: title dtype: string - name: url dtype: string - name: text dtype: string splits: - name: train num_bytes: 742313430 num_examples: 231836 download_size: 268567208 dataset_size: 742313430 configs: - config_name: default data_files: - split: train path: data/train-* ---
jys09/ntu-adl-hw1	--- license: mit task_categories: - question-answering ---
mozci/logobookDB	--- language: - en license: afl-3.0 size_categories: - 1K<n<10K task_categories: - text-to-image pretty_name: Logobook Archive with Captions tags: - brand - logo - design - graphic design dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 162614866.176 num_examples: 4026 download_size: 139569721 dataset_size: 162614866.176 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card This dataset contains image caption pairs for logo designs screped from logobook.com. It is created for my research project to finetune text-image diffusion models with logo designs. Logobook.com has a very nice logo archive consisting of modernist and simplistic logo designs. Each design stored along with some keywords. I used these keywords to create a caption for the logo designs. See example below: ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6475548022b4dec4524bd3f3/8NHOZFmmjk9Hrb0sLeXTl.jpeg) Caption: Adams Law, a prominent law firm in Ireland, features a sleek and professional logo design by Jeremy Simmons of Process. The logo showcases a symbolic letter 'A' enclosed within a circular frame, representing unity and integrity. The inclusion of the word 'Ireland' emphasizes the firm's local expertise and dedication to serving the Irish community. A subtle quotation mark adds a touch of elegance and sophistication, reflecting Adams Law's commitment to delivering impactful legal solutions. This timeless logo design, created in 2017, effectively captures the firm's professionalism and legal expertise. ## Copyright disclaimer Created and used for research purposes.
open-llm-leaderboard/details_marcchew__LaMini-40k-Platypus2-7B	--- pretty_name: Evaluation run of marcchew/LaMini-40k-Platypus2-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [marcchew/LaMini-40k-Platypus2-7B](https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 3 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_marcchew__LaMini-40k-Platypus2-7B\"\ ,\n\t\"harness_gsm8k_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese\ \ are the [latest results from run 2023-12-03T19:17:16.064054](https://huggingface.co/datasets/open-llm-leaderboard/details_marcchew__LaMini-40k-Platypus2-7B/blob/main/results_2023-12-03T19-17-16.064054.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\": 0.0,\n \"\ acc_stderr\": 0.0\n },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \ \ \"acc_stderr\": 0.0\n }\n}\n```" repo_url: https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B 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: 2023_09_18T12_51_11.107895 path: - '/details_harness\|arc:challenge\|25_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-18T12-51-11.107895.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T08_58_28.638753 path: - '/details_harness\|drop\|3_2023-10-28T08-58-28.638753.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-28T08-58-28.638753.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T08_58_28.638753 path: - '/details_harness\|gsm8k\|5_2023-10-28T08-58-28.638753.parquet' - split: 2023_12_03T19_17_16.064054 path: - '/details_harness\|gsm8k\|5_2023-12-03T19-17-16.064054.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-03T19-17-16.064054.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hellaswag\|10_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T12-51-11.107895.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_18T12_51_11.107895 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-18T12-51-11.107895.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T08_58_28.638753 path: - '/details_harness\|winogrande\|5_2023-10-28T08-58-28.638753.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-28T08-58-28.638753.parquet' - config_name: results data_files: - split: 2023_09_18T12_51_11.107895 path: - results_2023-09-18T12-51-11.107895.parquet - split: 2023_10_28T08_58_28.638753 path: - results_2023-10-28T08-58-28.638753.parquet - split: 2023_12_03T19_17_16.064054 path: - results_2023-12-03T19-17-16.064054.parquet - split: latest path: - results_2023-12-03T19-17-16.064054.parquet --- # Dataset Card for Evaluation run of marcchew/LaMini-40k-Platypus2-7B ## Dataset Description - Homepage: - Repository: https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [marcchew/LaMini-40k-Platypus2-7B](https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 3 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_marcchew__LaMini-40k-Platypus2-7B", "harness_gsm8k_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-03T19:17:16.064054](https://huggingface.co/datasets/open-llm-leaderboard/details_marcchew__LaMini-40k-Platypus2-7B/blob/main/results_2023-12-03T19-17-16.064054.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": 0.0, "acc_stderr": 0.0 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
one-sec-cv12/chunk_3	--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 18734066352.875 num_examples: 195049 download_size: 15931724724 dataset_size: 18734066352.875 --- # Dataset Card for "chunk_3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
rasgaard/mmi-bendr-preprocessed	--- dataset_info: features: - name: data sequence: sequence: float32 - name: label dtype: int64 splits: - name: train num_bytes: 531730928 num_examples: 4324 - name: val num_bytes: 5164824 num_examples: 42 - name: test num_bytes: 5164824 num_examples: 42 download_size: 207795149 dataset_size: 542060576 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* license: odc-by --- The [EEG Motor Movement/Imagery (MMI) Dataset](https://physionet.org/content/eegmmidb/1.0.0/) preprocessed with [DN3](https://github.com/SPOClab-ca/dn3/) to be used for downstream fine-tuning with [BENDR](https://github.com/SPOClab-ca/BENDR). The labels correspond to Task 4 (imagine opening and closing both fists or both feet) from experimental runs 4, 10 and 14. ## Creating dataloaders ```python from datasets import load_dataset from torch.utils.data import DataLoader dataset = load_dataset("rasgaard/mmi-bendr-preprocessed") dataset.set_format("torch") train_loader = DataLoader(dataset["train"], batch_size=8) val_loader = DataLoader(dataset["val"], batch_size=8) test_loader = DataLoader(dataset["test"], batch_size=8) batch = next(iter(train_loader)) batch["data"].shape, batch["label"].shape >>> (torch.Size([8, 20, 1536]), torch.Size([8])) ```
ksuyash/food-dataset	--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': burger '1': butter_naan '2': chai '3': chapati '4': chole_bhature '5': dal_makhani '6': dhokla '7': fried_rice '8': idli '9': jalebi '10': kaathi_rolls '11': kadai_paneer '12': kulfi '13': masala_dosa '14': momos '15': paani_puri '16': pakode '17': pav_bhaji '18': pizza '19': samosa splits: - name: train num_bytes: 1716156838.154 num_examples: 6269 download_size: 1579640750 dataset_size: 1716156838.154 configs: - config_name: default data_files: - split: train path: data/train-* ---
udmurtNLP/zerpal-udmdunne	--- language: - udm size_categories: - 10K<n<100K task_categories: - text-classification dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 47031643 num_examples: 10258 - name: valid num_bytes: 5299403 num_examples: 1140 download_size: 25632119 dataset_size: 52331046 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* ---
zhiqings/LLaVA-Human-Preference-10K	--- license: apache-2.0 ---
Dauren-Nur/ISSAI_SKIMMED	--- dataset_info: features: - name: uttID dtype: string - name: deviceID dtype: int64 - name: text dtype: string - name: audio dtype: audio splits: - name: train num_bytes: 1921144536.0 num_examples: 15000 - name: test num_bytes: 407749055.0 num_examples: 3334 - name: dev num_bytes: 384006753.0 num_examples: 3283 download_size: 2712080390 dataset_size: 2712900344.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: dev path: data/dev-* ---
ihaflix1/herbert	--- license: openrail ---
reaganjlee/boolq_es	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: question dtype: string - name: passage dtype: string - name: answer dtype: class_label: names: '0': 'False' '1': 'True' splits: - name: train num_bytes: 4397871 num_examples: 9427 - name: validation num_bytes: 1520093 num_examples: 3270 download_size: 3613558 dataset_size: 5917964 --- # Dataset Card for "boolq_es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
docdewarper/dewarpnet_weights	--- license: mit --- Weights for the pre-trained DewarpNet model developed by Das et al. (2019). The code for the model can be found on https://github.com/cvlab-stonybrook/DewarpNet.
scribis/italian-literature-corpus-mini	--- dataset_info: features: - name: review dtype: string - name: review_length dtype: int64 splits: - name: train num_bytes: 125104611.3227607 num_examples: 872594 - name: validation num_bytes: 13900528.299298717 num_examples: 96955 download_size: 143032707 dataset_size: 139005139.6220594 language: - it --- # Dataset Card for "italian-literature-corpus-mini" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TheFinAI/en-forecasting-bigdata	--- dataset_info: features: - name: id dtype: string - name: query dtype: string - name: answer dtype: string - name: text dtype: string - name: choices sequence: string - name: gold dtype: int64 splits: - name: train num_bytes: 18720287 num_examples: 4897 - name: valid num_bytes: 1278834 num_examples: 798 - name: test num_bytes: 2379111 num_examples: 1472 download_size: 11003337 dataset_size: 22378232 --- # Dataset Card for "flare-sm-bigdata" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KnutJaegersberg/wikipedia_categories	--- license: mit ---
McSpicyWithMilo/target-elements-0.2split-new-delete-180-validation	--- dataset_info: features: - name: instruction dtype: string - name: target_element dtype: string splits: - name: train num_bytes: 12696.8 num_examples: 144 - name: test num_bytes: 1587.1 num_examples: 18 - name: valid num_bytes: 1587.1 num_examples: 18 download_size: 13176 dataset_size: 15871.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* --- # Dataset Card for "target-elements-0.2split-new-delete-180-validation" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TaylorAI/RLCD-generated-preference-data-split	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: instruction dtype: string - name: input dtype: float64 - name: output_1 dtype: string - name: output_2 dtype: string - name: preference dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 142629947 num_examples: 160000 - name: validation num_bytes: 7163731 num_examples: 7999 download_size: 88067760 dataset_size: 149793678 --- # Dataset Card for "RLCD-generated-preference-data-split" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KShivendu/dbpedia-entities-openai-1M	--- license: mit dataset_info: features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string - name: openai sequence: float32 splits: - name: train num_bytes: 12383152 num_examples: 1000000 download_size: 12383152 dataset_size: 1000000 language: - en task_categories: - feature-extraction pretty_name: OpenAI 1M with DBPedia Entities size_categories: - 1M<n<10M --- 1M OpenAI Embeddings -- 1536 dimensions Created: June 2023. Text used for Embedding: title (string) + text (string) Embedding Model: text-embedding-ada-002 First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/ ### Future work We are planning to take this up to 10M (and possibly 100M) vectors. Contact [@KShivendu_](https://twitter.com/KShivendu_) on Twitter or mail to hello@nirantk.com if you want to help :) ### Credits: This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity
sophie-shetty08/alzheimer-master-dataset	--- license: apache-2.0 ---
liuyanchen1015/MULTI_VALUE_qqp_null_referential_pronouns	--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 529226 num_examples: 2610 - name: test num_bytes: 5308180 num_examples: 26108 - name: train num_bytes: 5043940 num_examples: 24291 download_size: 6908933 dataset_size: 10881346 --- # Dataset Card for "MULTI_VALUE_qqp_null_referential_pronouns" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Biomedical-TeMU/ProfNER_corpus_classification	--- license: cc-by-4.0 ---
CyberHarem/manannan_mac_lir_bazett_fgo	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of manannan_mac_lir_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order) This is the dataset of manannan_mac_lir_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order), containing 78 images and their tags. The core tags of this character are `mole, mole_under_eye, breasts, parted_bangs, purple_hair, red_hair, red_eyes, long_hair, purple_eyes, large_breasts, short_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:-----------------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 78 \| 104.21 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 78 \| 91.58 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 176 \| 175.72 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/manannan_mac_lir_bazett_fgo', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 6 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, black_gloves, black_necktie, black_pants, collared_shirt, dress_shirt, formal, grey_coat, long_sleeves, adjusting_gloves, open_coat, solo, black_suit, looking_at_viewer, simple_background, white_background, jacket \| \| 1 \| 24 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, black_bodysuit, looking_at_viewer, low_ponytail, blush, solo, long_sleeves, necktie, jewelry, black_gloves, blue_bodysuit \| \| 2 \| 12 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| 1girl, bare_shoulders, smile, white_dress, elbow_gloves, solo, white_gloves, cleavage, looking_at_viewer, blush \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| black_gloves \| black_necktie \| black_pants \| collared_shirt \| dress_shirt \| formal \| grey_coat \| long_sleeves \| adjusting_gloves \| open_coat \| solo \| black_suit \| looking_at_viewer \| simple_background \| white_background \| jacket \| black_bodysuit \| low_ponytail \| blush \| necktie \| jewelry \| blue_bodysuit \| bare_shoulders \| smile \| white_dress \| elbow_gloves \| white_gloves \| cleavage \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:---------------\|:----------------\|:--------------\|:-----------------\|:--------------\|:---------\|:------------\|:---------------\|:-------------------\|:------------\|:-------\|:-------------\|:--------------------\|:--------------------\|:-------------------\|:---------\|:-----------------\|:---------------\|:--------\|:----------\|:----------\|:----------------\|:-----------------\|:--------\|:--------------\|:---------------\|:---------------\|:-----------\| \| 0 \| 6 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 24 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| X \| \| \| \| \| \| \| X \| \| \| X \| \| X \| \| \| \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| 2 \| 12 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| X \| \| \| \| \| \| \| \| \| \| \| X \| \| X \| \| \| \| \| \| X \| \| \| \| X \| X \| X \| X \| X \| X \|
tharun-6743/tharun	--- license: openrail ---
Devartbio/landing	--- license: mit ---
georgereyna/omni	--- license: cc ---
MicPie/unpredictable_cappex-com	--- annotations_creators: - no-annotation language_creators: - found language: - en license: - apache-2.0 multilinguality: - monolingual pretty_name: UnpredicTable-cappex.com size_categories: - 100K<n<1M source_datasets: [] task_categories: - multiple-choice - question-answering - zero-shot-classification - text2text-generation - table-question-answering - text-generation - text-classification - tabular-classification task_ids: - multiple-choice-qa - extractive-qa - open-domain-qa - closed-domain-qa - closed-book-qa - open-book-qa - language-modeling - multi-class-classification - natural-language-inference - topic-classification - multi-label-classification - tabular-multi-class-classification - tabular-multi-label-classification --- # Dataset Card for "UnpredicTable-cappex.com" - Dataset of Few-shot Tasks from Tables ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - Homepage: https://ethanperez.net/unpredictable - Repository: https://github.com/JunShern/few-shot-adaptation - Paper: Few-shot Adaptation Works with UnpredicTable Data - Point of Contact: junshern@nyu.edu, perez@nyu.edu ### Dataset Summary The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. There are several dataset versions available: * [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full): Starting from the initial WTC corpus of 50M tables, we apply our tables-to-tasks procedure to produce our resulting dataset, [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full), which comprises 413,299 tasks from 23,744 unique websites. * [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique): This is the same as [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full) but filtered to have a maximum of one task per website. [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique) contains exactly 23,744 tasks from 23,744 websites. * [UnpredicTable-5k](https://huggingface.co/datasets/MicPie/unpredictable_5k): This dataset contains 5k random tables from the full dataset. * UnpredicTable data subsets based on a manual human quality rating (please see our publication for details of the ratings): * [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low) * [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium) * [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high) * UnpredicTable data subsets based on the website of origin: * [UnpredicTable-baseball-fantasysports-yahoo-com](https://huggingface.co/datasets/MicPie/unpredictable_baseball-fantasysports-yahoo-com) * [UnpredicTable-bulbapedia-bulbagarden-net](https://huggingface.co/datasets/MicPie/unpredictable_bulbapedia-bulbagarden-net) * [UnpredicTable-cappex-com](https://huggingface.co/datasets/MicPie/unpredictable_cappex-com) * [UnpredicTable-cram-com](https://huggingface.co/datasets/MicPie/unpredictable_cram-com) * [UnpredicTable-dividend-com](https://huggingface.co/datasets/MicPie/unpredictable_dividend-com) * [UnpredicTable-dummies-com](https://huggingface.co/datasets/MicPie/unpredictable_dummies-com) * [UnpredicTable-en-wikipedia-org](https://huggingface.co/datasets/MicPie/unpredictable_en-wikipedia-org) * [UnpredicTable-ensembl-org](https://huggingface.co/datasets/MicPie/unpredictable_ensembl-org) * [UnpredicTable-gamefaqs-com](https://huggingface.co/datasets/MicPie/unpredictable_gamefaqs-com) * [UnpredicTable-mgoblog-com](https://huggingface.co/datasets/MicPie/unpredictable_mgoblog-com) * [UnpredicTable-mmo-champion-com](https://huggingface.co/datasets/MicPie/unpredictable_mmo-champion-com) * [UnpredicTable-msdn-microsoft-com](https://huggingface.co/datasets/MicPie/unpredictable_msdn-microsoft-com) * [UnpredicTable-phonearena-com](https://huggingface.co/datasets/MicPie/unpredictable_phonearena-com) * [UnpredicTable-sittercity-com](https://huggingface.co/datasets/MicPie/unpredictable_sittercity-com) * [UnpredicTable-sporcle-com](https://huggingface.co/datasets/MicPie/unpredictable_sporcle-com) * [UnpredicTable-studystack-com](https://huggingface.co/datasets/MicPie/unpredictable_studystack-com) * [UnpredicTable-support-google-com](https://huggingface.co/datasets/MicPie/unpredictable_support-google-com) * [UnpredicTable-w3-org](https://huggingface.co/datasets/MicPie/unpredictable_w3-org) * [UnpredicTable-wiki-openmoko-org](https://huggingface.co/datasets/MicPie/unpredictable_wiki-openmoko-org) * [UnpredicTable-wkdu-org](https://huggingface.co/datasets/MicPie/unpredictable_wkdu-org) * UnpredicTable data subsets based on clustering (for the clustering details please see our publication): * [UnpredicTable-cluster00](https://huggingface.co/datasets/MicPie/unpredictable_cluster00) * [UnpredicTable-cluster01](https://huggingface.co/datasets/MicPie/unpredictable_cluster01) * [UnpredicTable-cluster02](https://huggingface.co/datasets/MicPie/unpredictable_cluster02) * [UnpredicTable-cluster03](https://huggingface.co/datasets/MicPie/unpredictable_cluster03) * [UnpredicTable-cluster04](https://huggingface.co/datasets/MicPie/unpredictable_cluster04) * [UnpredicTable-cluster05](https://huggingface.co/datasets/MicPie/unpredictable_cluster05) * [UnpredicTable-cluster06](https://huggingface.co/datasets/MicPie/unpredictable_cluster06) * [UnpredicTable-cluster07](https://huggingface.co/datasets/MicPie/unpredictable_cluster07) * [UnpredicTable-cluster08](https://huggingface.co/datasets/MicPie/unpredictable_cluster08) * [UnpredicTable-cluster09](https://huggingface.co/datasets/MicPie/unpredictable_cluster09) * [UnpredicTable-cluster10](https://huggingface.co/datasets/MicPie/unpredictable_cluster10) * [UnpredicTable-cluster11](https://huggingface.co/datasets/MicPie/unpredictable_cluster11) * [UnpredicTable-cluster12](https://huggingface.co/datasets/MicPie/unpredictable_cluster12) * [UnpredicTable-cluster13](https://huggingface.co/datasets/MicPie/unpredictable_cluster13) * [UnpredicTable-cluster14](https://huggingface.co/datasets/MicPie/unpredictable_cluster14) * [UnpredicTable-cluster15](https://huggingface.co/datasets/MicPie/unpredictable_cluster15) * [UnpredicTable-cluster16](https://huggingface.co/datasets/MicPie/unpredictable_cluster16) * [UnpredicTable-cluster17](https://huggingface.co/datasets/MicPie/unpredictable_cluster17) * [UnpredicTable-cluster18](https://huggingface.co/datasets/MicPie/unpredictable_cluster18) * [UnpredicTable-cluster19](https://huggingface.co/datasets/MicPie/unpredictable_cluster19) * [UnpredicTable-cluster20](https://huggingface.co/datasets/MicPie/unpredictable_cluster20) * [UnpredicTable-cluster21](https://huggingface.co/datasets/MicPie/unpredictable_cluster21) * [UnpredicTable-cluster22](https://huggingface.co/datasets/MicPie/unpredictable_cluster22) * [UnpredicTable-cluster23](https://huggingface.co/datasets/MicPie/unpredictable_cluster23) * [UnpredicTable-cluster24](https://huggingface.co/datasets/MicPie/unpredictable_cluster24) * [UnpredicTable-cluster25](https://huggingface.co/datasets/MicPie/unpredictable_cluster25) * [UnpredicTable-cluster26](https://huggingface.co/datasets/MicPie/unpredictable_cluster26) * [UnpredicTable-cluster27](https://huggingface.co/datasets/MicPie/unpredictable_cluster27) * [UnpredicTable-cluster28](https://huggingface.co/datasets/MicPie/unpredictable_cluster28) * [UnpredicTable-cluster29](https://huggingface.co/datasets/MicPie/unpredictable_cluster29) * [UnpredicTable-cluster-noise](https://huggingface.co/datasets/MicPie/unpredictable_cluster-noise) ### Supported Tasks and Leaderboards Since the tables come from the web, the distribution of tasks and topics is very broad. The shape of our dataset is very wide, i.e., we have 1000's of tasks, while each task has only a few examples, compared to most current NLP datasets which are very deep, i.e., 10s of tasks with many examples. This implies that our dataset covers a broad range of potential tasks, e.g., multiple-choice, question-answering, table-question-answering, text-classification, etc. The intended use of this dataset is to improve few-shot performance by fine-tuning/pre-training on our dataset. ### Languages English ## Dataset Structure ### Data Instances Each task is represented as a jsonline file and consists of several few-shot examples. Each example is a dictionary containing a field 'task', which identifies the task, followed by an 'input', 'options', and 'output' field. The 'input' field contains several column elements of the same row in the table, while the 'output' field is a target which represents an individual column of the same row. Each task contains several such examples which can be concatenated as a few-shot task. In the case of multiple choice classification, the 'options' field contains the possible classes that a model needs to choose from. There are also additional meta-data fields such as 'pageTitle', 'title', 'outputColName', 'url', 'wdcFile'. ### Data Fields 'task': task identifier 'input': column elements of a specific row in the table. 'options': for multiple choice classification, it provides the options to choose from. 'output': target column element of the same row as input. 'pageTitle': the title of the page containing the table. 'outputColName': output column name 'url': url to the website containing the table 'wdcFile': WDC Web Table Corpus file ### Data Splits The UnpredicTable datasets do not come with additional data splits. ## Dataset Creation ### Curation Rationale Few-shot training on multi-task datasets has been demonstrated to improve language models' few-shot learning (FSL) performance on new tasks, but it is unclear which training tasks lead to effective downstream task adaptation. Few-shot learning datasets are typically produced with expensive human curation, limiting the scale and diversity of the training tasks available to study. As an alternative source of few-shot data, we automatically extract 413,299 tasks from diverse internet tables. We provide this as a research resource to investigate the relationship between training data and few-shot learning. ### Source Data #### Initial Data Collection and Normalization We use internet tables from the English-language Relational Subset of the WDC Web Table Corpus 2015 (WTC). The WTC dataset tables were extracted from the July 2015 Common Crawl web corpus (http://webdatacommons.org/webtables/2015/EnglishStatistics.html). The dataset contains 50,820,165 tables from 323,160 web domains. We then convert the tables into few-shot learning tasks. Please see our publication for more details on the data collection and conversion pipeline. #### Who are the source language producers? The dataset is extracted from [WDC Web Table Corpora](http://webdatacommons.org/webtables/). ### Annotations #### Annotation process Manual annotation was only carried out for the [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low), [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium), and [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high) data subsets to rate task quality. Detailed instructions of the annotation instructions can be found in our publication. #### Who are the annotators? Annotations were carried out by a lab assistant. ### Personal and Sensitive Information The data was extracted from [WDC Web Table Corpora](http://webdatacommons.org/webtables/), which in turn extracted tables from the [Common Crawl](https://commoncrawl.org/). We did not filter the data in any way. Thus any user identities or otherwise sensitive information (e.g., data that reveals racial or ethnic origins, sexual orientations, religious beliefs, political opinions or union memberships, or locations; financial or health data; biometric or genetic data; forms of government identification, such as social security numbers; criminal history, etc.) might be contained in our dataset. ## Considerations for Using the Data ### Social Impact of Dataset This dataset is intended for use as a research resource to investigate the relationship between training data and few-shot learning. As such, it contains high- and low-quality data, as well as diverse content that may be untruthful or inappropriate. Without careful investigation, it should not be used for training models that will be deployed for use in decision-critical or user-facing situations. ### Discussion of Biases Since our dataset contains tables that are scraped from the web, it will also contain many toxic, racist, sexist, and otherwise harmful biases and texts. We have not run any analysis on the biases prevalent in our datasets. Neither have we explicitly filtered the content. This implies that a model trained on our dataset may potentially reflect harmful biases and toxic text that exist in our dataset. ### Other Known Limitations No additional known limitations. ## Additional Information ### Dataset Curators Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez ### Licensing Information Apache 2.0 ### Citation Information ``` @misc{chan2022few, author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan}, title = {Few-shot Adaptation Works with UnpredicTable Data}, publisher={arXiv}, year = {2022}, url = {https://arxiv.org/abs/2208.01009} } ```
open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Base-LLaMAfied	--- pretty_name: Evaluation run of hiyouga/Baichuan2-7B-Base-LLaMAfied dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [hiyouga/Baichuan2-7B-Base-LLaMAfied](https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\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_hiyouga__Baichuan2-7B-Base-LLaMAfied\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T06:44:24.493952](https://huggingface.co/datasets/open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Base-LLaMAfied/blob/main/results_2023-10-26T06-44-24.493952.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 \"em\": 0.001572986577181208,\n\ \ \"em_stderr\": 0.0004058451132417743,\n \"f1\": 0.0585476090604028,\n\ \ \"f1_stderr\": 0.0013740361163735455,\n \"acc\": 0.3926358910777041,\n\ \ \"acc_stderr\": 0.010089987799825416\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.001572986577181208,\n \"em_stderr\": 0.0004058451132417743,\n\ \ \"f1\": 0.0585476090604028,\n \"f1_stderr\": 0.0013740361163735455\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.07808946171341925,\n \ \ \"acc_stderr\": 0.007390654481108214\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7071823204419889,\n \"acc_stderr\": 0.01278932111854262\n\ \ }\n}\n```" repo_url: https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied 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: 2023_10_10T07_25_43.126145 path: - '/details_harness\|arc:challenge\|25_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-10-10T07-25-43.126145.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T06_44_24.493952 path: - '/details_harness\|drop\|3_2023-10-26T06-44-24.493952.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-26T06-44-24.493952.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T06_44_24.493952 path: - '/details_harness\|gsm8k\|5_2023-10-26T06-44-24.493952.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-26T06-44-24.493952.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hellaswag\|10_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-25-43.126145.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T07_25_43.126145 path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-10-10T07-25-43.126145.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T06_44_24.493952 path: - '/details_harness\|winogrande\|5_2023-10-26T06-44-24.493952.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-26T06-44-24.493952.parquet' - config_name: results data_files: - split: 2023_10_10T07_25_43.126145 path: - results_2023-10-10T07-25-43.126145.parquet - split: 2023_10_26T06_44_24.493952 path: - results_2023-10-26T06-44-24.493952.parquet - split: latest path: - results_2023-10-26T06-44-24.493952.parquet --- # Dataset Card for Evaluation run of hiyouga/Baichuan2-7B-Base-LLaMAfied ## Dataset Description - Homepage: - Repository: https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied - Paper: - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - Point of Contact: clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [hiyouga/Baichuan2-7B-Base-LLaMAfied](https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). 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_hiyouga__Baichuan2-7B-Base-LLaMAfied", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T06:44:24.493952](https://huggingface.co/datasets/open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Base-LLaMAfied/blob/main/results_2023-10-26T06-44-24.493952.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": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.0585476090604028, "f1_stderr": 0.0013740361163735455, "acc": 0.3926358910777041, "acc_stderr": 0.010089987799825416 }, "harness\|drop\|3": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.0585476090604028, "f1_stderr": 0.0013740361163735455 }, "harness\|gsm8k\|5": { "acc": 0.07808946171341925, "acc_stderr": 0.007390654481108214 }, "harness\|winogrande\|5": { "acc": 0.7071823204419889, "acc_stderr": 0.01278932111854262 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
eswanYS/customhkcode2	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5826 num_examples: 39 download_size: 2572 dataset_size: 5826 configs: - config_name: default data_files: - split: train path: data/train-* ---
minhnguyen/IEDB_B_cell	--- license: apache-2.0 ---
apollo-research/sae-skeskinen-TinyStories-hf-tokenizer-gpt2_play	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1911420483 num_examples: 2119719 - name: validation num_bytes: 19306310 num_examples: 21990 download_size: 1001364597 dataset_size: 1930726793 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---
CATIE-AQ/orange_sum_fr_prompt_fill_mask	--- language: - fr license: cc-by-sa-4.0 size_categories: - 100K<n<1M task_categories: - fill-mask tags: - DFP - french prompts annotations_creators: - found language_creators: - found multilinguality: - monolingual source_datasets: - orange_sum --- # orange_sum_fr_prompt_fill_mask ## Summary orange_sum_fr_prompt_fill_mask is a subset of the [Dataset of French Prompts (DFP)](https://huggingface.co/datasets/CATIE-AQ/DFP). It contains 585,624 rows that can be used for a fill mask task. The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al. A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al. ## Prompts used ### List 24 prompts were created for this dataset. The logic applied consists in proposing prompts in the indicative tense, in the form of tutoiement and in the form of vouvoiement. ``` 'Remplacer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Remplace le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Remplacez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Remplacer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Remplace le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Remplacez le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Substituer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Substitue le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Substituez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Substituer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Substitue le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Substituez le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Changer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Change le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Changez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Changer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Change le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Changez le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Transformer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Transforme le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Transformez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Transformer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Transforme le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Transformez le <mask> dans le texte suivant par le mot le plus probable : '+text, ``` # Splits - `train` with 513,624 samples - `valid` with 36,000 samples - `test` with 36,000 samples # How to use? ``` from datasets import load_dataset dataset = load_dataset("CATIE-AQ/orange_sum_fr_prompt_fill_mask") ``` # Citation ## Original data > @article{eddine2020barthez, title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model}, author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis}, journal={arXiv preprint arXiv:2010.12321}, year={2020} } ## This Dataset > @misc {centre_aquitain_des_technologies_de_l'information_et_electroniques_2023, author = { {Centre Aquitain des Technologies de l'Information et Electroniques} }, title = { DFP (Revision 1d24c09) }, year = 2023, url = { https://huggingface.co/datasets/CATIE-AQ/DFP }, doi = { 10.57967/hf/1200 }, publisher = { Hugging Face } } ## License CC-BY-SA-4.0
benticha/coachllm-lama2	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 238155 num_examples: 996 download_size: 75613 dataset_size: 238155 configs: - config_name: default data_files: - split: train path: data/train-* ---
Intuit-GenSRF/tweets-hate-speech-detection	--- dataset_info: features: - name: text dtype: string - name: labels sequence: string splits: - name: train num_bytes: 3081848 num_examples: 31962 download_size: 2067751 dataset_size: 3081848 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "tweets_hate_speech_detection" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
james-burton/airbnb_summaries	--- dataset_info: features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: float32 - name: scaled_label dtype: float64 splits: - name: train num_bytes: 12251861 num_examples: 14718 - name: validation num_bytes: 2605549 num_examples: 3155 - name: test num_bytes: 2602259 num_examples: 3155 download_size: 10147370 dataset_size: 17459669 --- # Dataset Card for "airbnb_summaries" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
123tozi123/toki-pona-tts	--- license: cc-by-sa-4.0 task_categories: - text-to-speech size_categories: - n<1K ---
mabenan/abap	--- license: mit ---
Fucheng/astro_lens	--- license: openrail ---
heliosprime/twitter_dataset_1712972981	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 10130 num_examples: 23 download_size: 9180 dataset_size: 10130 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "twitter_dataset_1712972981" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Back-up/chung-khoan-demo-p4	--- dataset_info: features: - name: url dtype: string - name: title dtype: string - name: date dtype: string - name: view struct: - name: number_of_response dtype: string - name: number_of_view dtype: string - name: content list: - name: res dtype: string splits: - name: train num_bytes: 47642171 num_examples: 8923 download_size: 17034905 dataset_size: 47642171 configs: - config_name: default data_files: - split: train path: data/train-* ---
tdh87/StoryDATA6.0	--- license: apache-2.0 ---
ryL/Taiwan-mandarin	--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 332633731.0 num_examples: 846 - name: test num_bytes: 82886161.0 num_examples: 228 - name: validation num_bytes: 98951893.0 num_examples: 230 download_size: 513794624 dataset_size: 514471785.0 --- # Dataset Card for "Taiwan-mandarin" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
xwjiang2010/pile_dedupe_val_tokenized_chunked	--- dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 6937220668 num_examples: 423311 download_size: 3163118066 dataset_size: 6937220668 configs: - config_name: default data_files: - split: train path: data/train-* ---
abhiram973/MedicalQA	--- license: mit ---
uclgroup8/early-exit-iemocap-embeddings-v3	--- dataset_info: features: - name: emotion dtype: string - name: to_translate dtype: string - name: early_audio_embeddings sequence: sequence: float64 - name: audio_embeddings sequence: sequence: float64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels dtype: int64 - name: text_embeddings sequence: float32 splits: - name: train num_bytes: 88597718 num_examples: 5501 - name: test num_bytes: 11079348 num_examples: 688 - name: val num_bytes: 11080896 num_examples: 688 download_size: 97134937 dataset_size: 110757962 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: val path: data/val-* ---
Ransaka/IAM	--- dataset_info: features: - name: image dtype: image - name: sentence dtype: string splits: - name: train num_bytes: 100524579.707 num_examples: 2913 download_size: 95676516 dataset_size: 100524579.707 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - image-to-text language: - en pretty_name: IAM Handwashing Dataset size_categories: - 1K<n<10K ---
MingweiMao/Side-view-Pigs	--- license: other --- # This dataset consists of pig farming images captured from a side-view perspective. # After downloading the dataset, place the images and labels in the 'JPEGImages' and 'Annotations' folders under 'VOCdevkit/VOC2007'. # Running 'VOC.py' will categorize the data into training, validation, and test datasets according to specified ratios in VOC format. # Running 'voc-yolo.py' will categorize the data into training, validation, and test datasets in YOLO format with specified ratios. # By following the aforementioned steps, you can obtain the VOC and YOLO formats for this side-view-pigs dataset --- ---

Karthik1080/medquad_llama

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1345005 num_examples: 1000 download_size: 616713 dataset_size: 1345005 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M

--- pretty_name: Evaluation run of nicholasKluge/Aira-Instruct-124M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [nicholasKluge/Aira-Instruct-124M](https://huggingface.co/nicholasKluge/Aira-Instruct-124M)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 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 agregated 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_nicholasKluge__Aira-Instruct-124M\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-10T09:14:16.516035](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M/blob/main/results_2023-08-10T09%3A14%3A16.516035.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\": 0.25097821278031224,\n\ \ \"acc_stderr\": 0.03126312568682377,\n \"acc_norm\": 0.25197883172295243,\n\ \ \"acc_norm_stderr\": 0.03127882498671644,\n \"mc1\": 0.22766217870257038,\n\ \ \"mc1_stderr\": 0.014679255032111075,\n \"mc2\": 0.3793773096260545,\n\ \ \"mc2_stderr\": 0.01493606177741941\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.19368600682593856,\n \"acc_stderr\": 0.01154842540997854,\n\ \ \"acc_norm\": 0.2354948805460751,\n \"acc_norm_stderr\": 0.012399451855004753\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2909778928500299,\n\ \ \"acc_stderr\": 0.004532850566893526,\n \"acc_norm\": 0.3082055367456682,\n\ \ \"acc_norm_stderr\": 0.004608082815535503\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\": 0.3111111111111111,\n\ \ \"acc_stderr\": 0.03999262876617721,\n \"acc_norm\": 0.3111111111111111,\n\ \ \"acc_norm_stderr\": 0.03999262876617721\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.18421052631578946,\n \"acc_stderr\": 0.0315469804508223,\n\ \ \"acc_norm\": 0.18421052631578946,\n \"acc_norm_stderr\": 0.0315469804508223\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.23,\n\ \ \"acc_stderr\": 0.042295258468165065,\n \"acc_norm\": 0.23,\n \ \ \"acc_norm_stderr\": 0.042295258468165065\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.2339622641509434,\n \"acc_stderr\": 0.02605529690115292,\n\ \ \"acc_norm\": 0.2339622641509434,\n \"acc_norm_stderr\": 0.02605529690115292\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2569444444444444,\n\ \ \"acc_stderr\": 0.03653946969442099,\n \"acc_norm\": 0.2569444444444444,\n\ \ \"acc_norm_stderr\": 0.03653946969442099\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.14,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.14,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.29,\n\ \ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.26011560693641617,\n\ \ \"acc_stderr\": 0.03345036916788992,\n \"acc_norm\": 0.26011560693641617,\n\ \ \"acc_norm_stderr\": 0.03345036916788992\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.04092563958237654,\n\ \ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237654\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.2553191489361702,\n \"acc_stderr\": 0.0285048564705142,\n\ \ \"acc_norm\": 0.2553191489361702,\n \"acc_norm_stderr\": 0.0285048564705142\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2631578947368421,\n\ \ \"acc_stderr\": 0.04142439719489361,\n \"acc_norm\": 0.2631578947368421,\n\ \ \"acc_norm_stderr\": 0.04142439719489361\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135303,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135303\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.2619047619047619,\n \"acc_stderr\": 0.022644212615525218,\n \"\ acc_norm\": 0.2619047619047619,\n \"acc_norm_stderr\": 0.022644212615525218\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.15079365079365079,\n\ \ \"acc_stderr\": 0.03200686497287392,\n \"acc_norm\": 0.15079365079365079,\n\ \ \"acc_norm_stderr\": 0.03200686497287392\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.17,\n \"acc_stderr\": 0.0377525168068637,\n \ \ \"acc_norm\": 0.17,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.2,\n\ \ \"acc_stderr\": 0.022755204959542936,\n \"acc_norm\": 0.2,\n \ \ \"acc_norm_stderr\": 0.022755204959542936\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.29064039408866993,\n \"acc_stderr\": 0.0319474007226554,\n\ \ \"acc_norm\": 0.29064039408866993,\n \"acc_norm_stderr\": 0.0319474007226554\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\ : 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\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\"\ : 0.32323232323232326,\n \"acc_stderr\": 0.03332299921070644,\n \"\ acc_norm\": 0.32323232323232326,\n \"acc_norm_stderr\": 0.03332299921070644\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.29015544041450775,\n \"acc_stderr\": 0.03275264467791516,\n\ \ \"acc_norm\": 0.29015544041450775,\n \"acc_norm_stderr\": 0.03275264467791516\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.24102564102564103,\n \"acc_stderr\": 0.021685546665333195,\n\ \ \"acc_norm\": 0.24102564102564103,\n \"acc_norm_stderr\": 0.021685546665333195\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.22592592592592592,\n \"acc_stderr\": 0.02549753263960955,\n \ \ \"acc_norm\": 0.22592592592592592,\n \"acc_norm_stderr\": 0.02549753263960955\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.1722689075630252,\n \"acc_stderr\": 0.02452866497130541,\n \ \ \"acc_norm\": 0.1722689075630252,\n \"acc_norm_stderr\": 0.02452866497130541\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.17218543046357615,\n \"acc_stderr\": 0.030826136961962385,\n \"\ acc_norm\": 0.17218543046357615,\n \"acc_norm_stderr\": 0.030826136961962385\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.28440366972477066,\n \"acc_stderr\": 0.019342036587702605,\n \"\ acc_norm\": 0.28440366972477066,\n \"acc_norm_stderr\": 0.019342036587702605\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4675925925925926,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.4675925925925926,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.25980392156862747,\n \"acc_stderr\": 0.030778554678693264,\n \"\ acc_norm\": 0.25980392156862747,\n \"acc_norm_stderr\": 0.030778554678693264\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.31645569620253167,\n \"acc_stderr\": 0.03027497488021898,\n \ \ \"acc_norm\": 0.31645569620253167,\n \"acc_norm_stderr\": 0.03027497488021898\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.10762331838565023,\n\ \ \"acc_stderr\": 0.02079940008287998,\n \"acc_norm\": 0.10762331838565023,\n\ \ \"acc_norm_stderr\": 0.02079940008287998\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.26717557251908397,\n \"acc_stderr\": 0.038808483010823944,\n\ \ \"acc_norm\": 0.26717557251908397,\n \"acc_norm_stderr\": 0.038808483010823944\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.32231404958677684,\n \"acc_stderr\": 0.04266416363352167,\n \"\ acc_norm\": 0.32231404958677684,\n \"acc_norm_stderr\": 0.04266416363352167\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25925925925925924,\n\ \ \"acc_stderr\": 0.042365112580946336,\n \"acc_norm\": 0.25925925925925924,\n\ \ \"acc_norm_stderr\": 0.042365112580946336\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.3006134969325153,\n \"acc_stderr\": 0.03602511318806771,\n\ \ \"acc_norm\": 0.3006134969325153,\n \"acc_norm_stderr\": 0.03602511318806771\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.29464285714285715,\n\ \ \"acc_stderr\": 0.043270409325787296,\n \"acc_norm\": 0.29464285714285715,\n\ \ \"acc_norm_stderr\": 0.043270409325787296\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.18446601941747573,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.18446601941747573,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.2905982905982906,\n\ \ \"acc_stderr\": 0.02974504857267404,\n \"acc_norm\": 0.2905982905982906,\n\ \ \"acc_norm_stderr\": 0.02974504857267404\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2554278416347382,\n\ \ \"acc_stderr\": 0.015594955384455765,\n \"acc_norm\": 0.2554278416347382,\n\ \ \"acc_norm_stderr\": 0.015594955384455765\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.24855491329479767,\n \"acc_stderr\": 0.023267528432100174,\n\ \ \"acc_norm\": 0.24855491329479767,\n \"acc_norm_stderr\": 0.023267528432100174\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2446927374301676,\n\ \ \"acc_stderr\": 0.01437816988409841,\n \"acc_norm\": 0.2446927374301676,\n\ \ \"acc_norm_stderr\": 0.01437816988409841\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.25163398692810457,\n \"acc_stderr\": 0.024848018263875195,\n\ \ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.024848018263875195\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.18971061093247588,\n\ \ \"acc_stderr\": 0.022268196258783218,\n \"acc_norm\": 0.18971061093247588,\n\ \ \"acc_norm_stderr\": 0.022268196258783218\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.2191358024691358,\n \"acc_stderr\": 0.0230167056402622,\n\ \ \"acc_norm\": 0.2191358024691358,\n \"acc_norm_stderr\": 0.0230167056402622\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.2730496453900709,\n \"acc_stderr\": 0.026577860943307854,\n \ \ \"acc_norm\": 0.2730496453900709,\n \"acc_norm_stderr\": 0.026577860943307854\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24511082138200782,\n\ \ \"acc_stderr\": 0.010986307870045517,\n \"acc_norm\": 0.24511082138200782,\n\ \ \"acc_norm_stderr\": 0.010986307870045517\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.3161764705882353,\n \"acc_stderr\": 0.028245687391462916,\n\ \ \"acc_norm\": 0.3161764705882353,\n \"acc_norm_stderr\": 0.028245687391462916\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\": 0.21818181818181817,\n \"acc_stderr\": 0.03955932861795833,\n\ \ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03955932861795833\n\ \ },\n \"harness|hendrycksTest-security_studies|5\": {\n \"acc\": 0.30612244897959184,\n\ \ \"acc_stderr\": 0.029504896454595957,\n \"acc_norm\": 0.30612244897959184,\n\ \ \"acc_norm_stderr\": 0.029504896454595957\n },\n \"harness|hendrycksTest-sociology|5\"\ : {\n \"acc\": 0.23383084577114427,\n \"acc_stderr\": 0.029929415408348377,\n\ \ \"acc_norm\": 0.23383084577114427,\n \"acc_norm_stderr\": 0.029929415408348377\n\ \ },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\":\ \ 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-virology|5\"\ : {\n \"acc\": 0.23493975903614459,\n \"acc_stderr\": 0.03300533186128922,\n\ \ \"acc_norm\": 0.23493975903614459,\n \"acc_norm_stderr\": 0.03300533186128922\n\ \ },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.036155076303109344,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.036155076303109344\n },\n \"harness|truthfulqa:mc|0\"\ : {\n \"mc1\": 0.22766217870257038,\n \"mc1_stderr\": 0.014679255032111075,\n\ \ \"mc2\": 0.3793773096260545,\n \"mc2_stderr\": 0.01493606177741941\n\ \ }\n}\n```" repo_url: https://huggingface.co/nicholasKluge/Aira-Instruct-124M 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: 2023_08_10T09_14_16.516035 path: - '**/details_harness|arc:challenge|25_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hellaswag|10_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-10T09:14:16.516035.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-management|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-10T09:14:16.516035.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_10T09_14_16.516035 path: - '**/details_harness|truthfulqa:mc|0_2023-08-10T09:14:16.516035.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-10T09:14:16.516035.parquet' - config_name: results data_files: - split: 2023_08_10T09_14_16.516035 path: - results_2023-08-10T09:14:16.516035.parquet - split: latest path: - results_2023-08-10T09:14:16.516035.parquet --- # Dataset Card for Evaluation run of nicholasKluge/Aira-Instruct-124M ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/nicholasKluge/Aira-Instruct-124M - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [nicholasKluge/Aira-Instruct-124M](https://huggingface.co/nicholasKluge/Aira-Instruct-124M) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 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 agregated 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_nicholasKluge__Aira-Instruct-124M", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-10T09:14:16.516035](https://huggingface.co/datasets/open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M/blob/main/results_2023-08-10T09%3A14%3A16.516035.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": 0.25097821278031224, "acc_stderr": 0.03126312568682377, "acc_norm": 0.25197883172295243, "acc_norm_stderr": 0.03127882498671644, "mc1": 0.22766217870257038, "mc1_stderr": 0.014679255032111075, "mc2": 0.3793773096260545, "mc2_stderr": 0.01493606177741941 }, "harness|arc:challenge|25": { "acc": 0.19368600682593856, "acc_stderr": 0.01154842540997854, "acc_norm": 0.2354948805460751, "acc_norm_stderr": 0.012399451855004753 }, "harness|hellaswag|10": { "acc": 0.2909778928500299, "acc_stderr": 0.004532850566893526, "acc_norm": 0.3082055367456682, "acc_norm_stderr": 0.004608082815535503 }, "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": 0.3111111111111111, "acc_stderr": 0.03999262876617721, "acc_norm": 0.3111111111111111, "acc_norm_stderr": 0.03999262876617721 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.18421052631578946, "acc_stderr": 0.0315469804508223, "acc_norm": 0.18421052631578946, "acc_norm_stderr": 0.0315469804508223 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2339622641509434, "acc_stderr": 0.02605529690115292, "acc_norm": 0.2339622641509434, "acc_norm_stderr": 0.02605529690115292 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.14, "acc_stderr": 0.03487350880197769, "acc_norm": 0.14, "acc_norm_stderr": 0.03487350880197769 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.03345036916788992, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.03345036916788992 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2553191489361702, "acc_stderr": 0.0285048564705142, "acc_norm": 0.2553191489361702, "acc_norm_stderr": 0.0285048564705142 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489361, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489361 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135303, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135303 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2619047619047619, "acc_stderr": 0.022644212615525218, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.022644212615525218 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2, "acc_stderr": 0.022755204959542936, "acc_norm": 0.2, "acc_norm_stderr": 0.022755204959542936 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.29064039408866993, "acc_stderr": 0.0319474007226554, "acc_norm": 0.29064039408866993, "acc_norm_stderr": 0.0319474007226554 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "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": 0.32323232323232326, "acc_stderr": 0.03332299921070644, "acc_norm": 0.32323232323232326, "acc_norm_stderr": 0.03332299921070644 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.29015544041450775, "acc_stderr": 0.03275264467791516, "acc_norm": 0.29015544041450775, "acc_norm_stderr": 0.03275264467791516 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24102564102564103, "acc_stderr": 0.021685546665333195, "acc_norm": 0.24102564102564103, "acc_norm_stderr": 0.021685546665333195 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22592592592592592, "acc_stderr": 0.02549753263960955, "acc_norm": 0.22592592592592592, "acc_norm_stderr": 0.02549753263960955 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.1722689075630252, "acc_stderr": 0.02452866497130541, "acc_norm": 0.1722689075630252, "acc_norm_stderr": 0.02452866497130541 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.17218543046357615, "acc_stderr": 0.030826136961962385, "acc_norm": 0.17218543046357615, "acc_norm_stderr": 0.030826136961962385 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.28440366972477066, "acc_stderr": 0.019342036587702605, "acc_norm": 0.28440366972477066, "acc_norm_stderr": 0.019342036587702605 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4675925925925926, "acc_stderr": 0.03402801581358966, "acc_norm": 0.4675925925925926, "acc_norm_stderr": 0.03402801581358966 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.25980392156862747, "acc_stderr": 0.030778554678693264, "acc_norm": 0.25980392156862747, "acc_norm_stderr": 0.030778554678693264 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.31645569620253167, "acc_stderr": 0.03027497488021898, "acc_norm": 0.31645569620253167, "acc_norm_stderr": 0.03027497488021898 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.10762331838565023, "acc_stderr": 0.02079940008287998, "acc_norm": 0.10762331838565023, "acc_norm_stderr": 0.02079940008287998 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.26717557251908397, "acc_stderr": 0.038808483010823944, "acc_norm": 0.26717557251908397, "acc_norm_stderr": 0.038808483010823944 }, "harness|hendrycksTest-international_law|5": { "acc": 0.32231404958677684, "acc_stderr": 0.04266416363352167, "acc_norm": 0.32231404958677684, "acc_norm_stderr": 0.04266416363352167 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.25925925925925924, "acc_stderr": 0.042365112580946336, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.042365112580946336 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.3006134969325153, "acc_stderr": 0.03602511318806771, "acc_norm": 0.3006134969325153, "acc_norm_stderr": 0.03602511318806771 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.29464285714285715, "acc_stderr": 0.043270409325787296, "acc_norm": 0.29464285714285715, "acc_norm_stderr": 0.043270409325787296 }, "harness|hendrycksTest-management|5": { "acc": 0.18446601941747573, "acc_stderr": 0.03840423627288276, "acc_norm": 0.18446601941747573, "acc_norm_stderr": 0.03840423627288276 }, "harness|hendrycksTest-marketing|5": { "acc": 0.2905982905982906, "acc_stderr": 0.02974504857267404, "acc_norm": 0.2905982905982906, "acc_norm_stderr": 0.02974504857267404 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.2554278416347382, "acc_stderr": 0.015594955384455765, "acc_norm": 0.2554278416347382, "acc_norm_stderr": 0.015594955384455765 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.24855491329479767, "acc_stderr": 0.023267528432100174, "acc_norm": 0.24855491329479767, "acc_norm_stderr": 0.023267528432100174 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2446927374301676, "acc_stderr": 0.01437816988409841, "acc_norm": 0.2446927374301676, "acc_norm_stderr": 0.01437816988409841 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.25163398692810457, "acc_stderr": 0.024848018263875195, "acc_norm": 0.25163398692810457, "acc_norm_stderr": 0.024848018263875195 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.18971061093247588, "acc_stderr": 0.022268196258783218, "acc_norm": 0.18971061093247588, "acc_norm_stderr": 0.022268196258783218 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.2191358024691358, "acc_stderr": 0.0230167056402622, "acc_norm": 0.2191358024691358, "acc_norm_stderr": 0.0230167056402622 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.2730496453900709, "acc_stderr": 0.026577860943307854, "acc_norm": 0.2730496453900709, "acc_norm_stderr": 0.026577860943307854 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.24511082138200782, "acc_stderr": 0.010986307870045517, "acc_norm": 0.24511082138200782, "acc_norm_stderr": 0.010986307870045517 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.3161764705882353, "acc_stderr": 0.028245687391462916, "acc_norm": 0.3161764705882353, "acc_norm_stderr": 0.028245687391462916 }, "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": 0.21818181818181817, "acc_stderr": 0.03955932861795833, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03955932861795833 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.30612244897959184, "acc_stderr": 0.029504896454595957, "acc_norm": 0.30612244897959184, "acc_norm_stderr": 0.029504896454595957 }, "harness|hendrycksTest-sociology|5": { "acc": 0.23383084577114427, "acc_stderr": 0.029929415408348377, "acc_norm": 0.23383084577114427, "acc_norm_stderr": 0.029929415408348377 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-virology|5": { "acc": 0.23493975903614459, "acc_stderr": 0.03300533186128922, "acc_norm": 0.23493975903614459, "acc_norm_stderr": 0.03300533186128922 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.3333333333333333, "acc_stderr": 0.036155076303109344, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.036155076303109344 }, "harness|truthfulqa:mc|0": { "mc1": 0.22766217870257038, "mc1_stderr": 0.014679255032111075, "mc2": 0.3793773096260545, "mc2_stderr": 0.01493606177741941 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

theblackcat102/audio-alpaca

--- license: cc-by-nc-4.0 task_categories: - text-generation - automatic-speech-recognition language: - en size_categories: - 10K<n<100K ---

yuyijiong/FoodSafe-Doc-QA-Chinese

--- license: cc-by-nc-4.0 task_categories: - text-generation language: - zh size_categories: - 1K<n<10K --- ## 食品安全领域指令微调数据 * 包含两个任务：多文档QA、论文QA * 文档数据来自中国食品安全国标、教材、综述论文

Matthijs/cmu-arctic-xvectors

--- pretty_name: CMU ARCTIC X-Vectors task_categories: - text-to-speech - audio-to-audio license: mit --- # Speaker embeddings extracted from CMU ARCTIC There is one `.npy` file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors. The [CMU ARCTIC](http://www.festvox.org/cmu_arctic/) dataset divides the utterances among the following speakers: - bdl (US male) - slt (US female) - jmk (Canadian male) - awb (Scottish male) - rms (US male) - clb (US female) - ksp (Indian male) The X-vectors were extracted using [this script](https://huggingface.co/mechanicalsea/speecht5-vc/blob/main/manifest/utils/prep_cmu_arctic_spkemb.py), which uses the `speechbrain/spkrec-xvect-voxceleb` model. Usage: ```python from datasets import load_dataset embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation") speaker_embeddings = embeddings_dataset[7306]["xvector"] speaker_embeddings = torch.tensor(speaker_embeddings).unsqueeze(0) ```

CyberHarem/sonoda_umi_lovelive

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of sonoda_umi/園田海未/소노다우미 (Love Live!) This is the dataset of sonoda_umi/園田海未/소노다우미 (Love Live!), containing 500 images and their tags. The core tags of this character are `long_hair, blue_hair, yellow_eyes, bangs, hair_between_eyes`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 500 | 716.93 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 393.10 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1212 | 832.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 621.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1212 | 1.17 GiB | [Download](https://huggingface.co/datasets/CyberHarem/sonoda_umi_lovelive/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/sonoda_umi_lovelive', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 18 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, solo, looking_at_viewer, fur_trim, blush, capelet, smile, open_mouth, beret, detached_sleeves, shorts, ribbon | | 1 | 5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, earrings, looking_at_viewer, smile, solo, white_gloves, blue_necktie, fingerless_gloves, open_mouth, short_sleeves, beret, blush, simple_background, skirt, swept_bangs | | 2 | 7 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, looking_at_viewer, smile, solo, blush, flower, blue_dress, choker, earrings, open_mouth, white_gloves, bare_shoulders, hair_ornament, cowboy_shot, head_wreath, simple_background | | 3 | 27 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, solo, hair_flower, looking_at_viewer, blush, bracelet, navel, bikini_skirt, hairband, smile, earrings, necklace, breasts, brown_eyes, frilled_bikini | | 4 | 5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, looking_at_viewer, smile, solo, bare_shoulders, detached_sleeves, holding_bouquet, simple_background, bridal_veil, bride, hair_flower, petals, strapless_dress, wedding_dress, white_background, blush, choker, garter_straps, jewelry, open_mouth, rose, thighhighs, tiara, white_dress | | 5 | 5 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, blush, hair_flower, short_sleeves, smile, solo, looking_at_viewer, swept_bangs, open_mouth, ribbon, sailor_collar, school_uniform, upper_body, dress, simple_background | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | 1girl, air_bubble, jewelry, looking_at_viewer, solo, underwater, smile, circlet, coral, dress, high_heels, midriff, navel, white_gloves | | 7 | 6 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | 1girl, angel_wings, blush, feathered_wings, hair_flower, headset, looking_at_viewer, solo, dress, x_hair_ornament, bare_shoulders, butterfly_hair_ornament, microphone, white_wings, barefoot, open_mouth, ribbon, smile | | 8 | 14 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | 1girl, blush, looking_at_viewer, solo, maid_headdress, simple_background, smile, double_bun, maid_apron, white_background, cowboy_shot, detached_sleeves, earrings, ribbon | | 9 | 5 | ![](samples/9/clu9-sample0.png) | ![](samples/9/clu9-sample1.png) | ![](samples/9/clu9-sample2.png) | ![](samples/9/clu9-sample3.png) | ![](samples/9/clu9-sample4.png) | 1girl, blush, brown_eyes, looking_at_viewer, otonokizaka_school_uniform, solo, bow, simple_background, summer_uniform, sweater_vest, white_background, shirt, skirt, aqua_panties, embarrassed, no_pants, short_sleeves, sitting, smile, socks, striped | | 10 | 14 | ![](samples/10/clu10-sample0.png) | ![](samples/10/clu10-sample1.png) | ![](samples/10/clu10-sample2.png) | ![](samples/10/clu10-sample3.png) | ![](samples/10/clu10-sample4.png) | long_sleeves, otonokizaka_school_uniform, red_bowtie, striped_bowtie, winter_uniform, 1girl, blazer, pleated_skirt, smile, solo, blush, looking_at_viewer, plaid_skirt, cowboy_shot, open_mouth, simple_background | | 11 | 7 | ![](samples/11/clu11-sample0.png) | ![](samples/11/clu11-sample1.png) | ![](samples/11/clu11-sample2.png) | ![](samples/11/clu11-sample3.png) | ![](samples/11/clu11-sample4.png) | 1girl, closed_mouth, otonokizaka_school_uniform, red_bowtie, solo, upper_body, blazer, blush, looking_at_viewer, smile, striped_bowtie, simple_background, white_shirt, winter_uniform, long_sleeves, white_background, blue_jacket, floating_hair | | 12 | 5 | ![](samples/12/clu12-sample0.png) | ![](samples/12/clu12-sample1.png) | ![](samples/12/clu12-sample2.png) | ![](samples/12/clu12-sample3.png) | ![](samples/12/clu12-sample4.png) | 1girl, blush, otonokizaka_school_uniform, pleated_skirt, red_bowtie, short_sleeves, solo, striped_bowtie, summer_uniform, white_shirt, looking_at_viewer, sitting, sweater_vest, blue_skirt, plaid_skirt, indoors, kneehighs, open_mouth | | 13 | 7 | ![](samples/13/clu13-sample0.png) | ![](samples/13/clu13-sample1.png) | ![](samples/13/clu13-sample2.png) | ![](samples/13/clu13-sample3.png) | ![](samples/13/clu13-sample4.png) | 1girl, blush, day, sky, solo, looking_at_viewer, smile, sun_hat, cloud, outdoors, sundress, white_dress, sleeveless, bare_shoulders, ocean, ribbon | | 14 | 7 | ![](samples/14/clu14-sample0.png) | ![](samples/14/clu14-sample1.png) | ![](samples/14/clu14-sample2.png) | ![](samples/14/clu14-sample3.png) | ![](samples/14/clu14-sample4.png) | 1girl, blush, floral_print, kimono, looking_at_viewer, smile, solo, hair_flower, wide_sleeves, obi, detached_sleeves, holding | | 15 | 14 | ![](samples/15/clu15-sample0.png) | ![](samples/15/clu15-sample1.png) | ![](samples/15/clu15-sample2.png) | ![](samples/15/clu15-sample3.png) | ![](samples/15/clu15-sample4.png) | 1girl, muneate, kyuudou, solo, yugake, holding_bow_(weapon), single_glove, hakama_skirt, blush, holding_arrow, looking_at_viewer | | 16 | 6 | ![](samples/16/clu16-sample0.png) | ![](samples/16/clu16-sample1.png) | ![](samples/16/clu16-sample2.png) | ![](samples/16/clu16-sample3.png) | ![](samples/16/clu16-sample4.png) | 1girl, solo, black_gloves, blush, checkered_skirt, looking_at_viewer, striped_thighhighs, treble_clef, flower, microphone_stand, mini_top_hat, sleeveless, earrings, necktie, open_mouth, sitting, smile | | 17 | 13 | ![](samples/17/clu17-sample0.png) | ![](samples/17/clu17-sample1.png) | ![](samples/17/clu17-sample2.png) | ![](samples/17/clu17-sample3.png) | ![](samples/17/clu17-sample4.png) | 1girl, bun_cover, double_bun, solo, looking_at_viewer, china_dress, blush, smile, fingerless_gloves, side_slit, open_mouth, boots, floral_print, simple_background, white_background | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | fur_trim | blush | capelet | smile | open_mouth | beret | detached_sleeves | shorts | ribbon | earrings | white_gloves | blue_necktie | fingerless_gloves | short_sleeves | simple_background | skirt | swept_bangs | flower | blue_dress | choker | bare_shoulders | hair_ornament | cowboy_shot | head_wreath | hair_flower | bracelet | navel | bikini_skirt | hairband | necklace | breasts | brown_eyes | frilled_bikini | holding_bouquet | bridal_veil | bride | petals | strapless_dress | wedding_dress | white_background | garter_straps | jewelry | rose | thighhighs | tiara | white_dress | sailor_collar | school_uniform | upper_body | dress | air_bubble | underwater | circlet | coral | high_heels | midriff | angel_wings | feathered_wings | headset | x_hair_ornament | butterfly_hair_ornament | microphone | white_wings | barefoot | maid_headdress | double_bun | maid_apron | otonokizaka_school_uniform | bow | summer_uniform | sweater_vest | shirt | aqua_panties | embarrassed | no_pants | sitting | socks | striped | long_sleeves | red_bowtie | striped_bowtie | winter_uniform | blazer | pleated_skirt | plaid_skirt | closed_mouth | white_shirt | blue_jacket | floating_hair | blue_skirt | indoors | kneehighs | day | sky | sun_hat | cloud | outdoors | sundress | sleeveless | ocean | floral_print | kimono | wide_sleeves | obi | holding | muneate | kyuudou | yugake | holding_bow_(weapon) | single_glove | hakama_skirt | holding_arrow | black_gloves | checkered_skirt | striped_thighhighs | treble_clef | microphone_stand | mini_top_hat | necktie | bun_cover | china_dress | side_slit | boots | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-------|:--------------------|:-----------|:--------|:----------|:--------|:-------------|:--------|:-------------------|:---------|:---------|:-----------|:---------------|:---------------|:--------------------|:----------------|:--------------------|:--------|:--------------|:---------|:-------------|:---------|:-----------------|:----------------|:--------------|:--------------|:--------------|:-----------|:--------|:---------------|:-----------|:-----------|:----------|:-------------|:-----------------|:------------------|:--------------|:--------|:---------|:------------------|:----------------|:-------------------|:----------------|:----------|:-------|:-------------|:--------|:--------------|:----------------|:-----------------|:-------------|:--------|:-------------|:-------------|:----------|:--------|:-------------|:----------|:--------------|:------------------|:----------|:------------------|:--------------------------|:-------------|:--------------|:-----------|:-----------------|:-------------|:-------------|:-----------------------------|:------|:-----------------|:---------------|:--------|:---------------|:--------------|:-----------|:----------|:--------|:----------|:---------------|:-------------|:-----------------|:-----------------|:---------|:----------------|:--------------|:---------------|:--------------|:--------------|:----------------|:-------------|:----------|:------------|:------|:------|:----------|:--------|:-----------|:-----------|:-------------|:--------|:---------------|:---------|:---------------|:------|:----------|:----------|:----------|:---------|:-----------------------|:---------------|:---------------|:----------------|:---------------|:------------------|:---------------------|:--------------|:-------------------|:---------------|:----------|:------------|:--------------|:------------|:--------| | 0 | 18 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 5 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | | X | | X | X | X | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 7 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | X | | X | | X | X | | | | | X | X | | | | X | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 27 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | X | X | | X | | X | | | | | | X | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 5 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | 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jlbaker361/prior-reward

--- dataset_info: features: - name: man dtype: image - name: woman dtype: image - name: boy dtype: image - name: girl dtype: image - name: character dtype: image - name: person dtype: image splits: - name: train num_bytes: 75309398.0 num_examples: 28 download_size: 75317328 dataset_size: 75309398.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_2_t_0.9

--- dataset_info: config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string - name: index dtype: int64 - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: filtered_epoch dtype: int64 - name: gen_reward dtype: float64 - name: gen_response dtype: string splits: - name: epoch_0 num_bytes: 43729495 num_examples: 18928 - name: epoch_1 num_bytes: 44301102 num_examples: 18928 - name: epoch_2 num_bytes: 44373560 num_examples: 18928 - name: epoch_3 num_bytes: 44407111 num_examples: 18928 - name: epoch_4 num_bytes: 44414707 num_examples: 18928 - name: epoch_5 num_bytes: 44399743 num_examples: 18928 - name: epoch_6 num_bytes: 44388093 num_examples: 18928 - name: epoch_7 num_bytes: 44380265 num_examples: 18928 - name: epoch_8 num_bytes: 44375264 num_examples: 18928 - name: epoch_9 num_bytes: 44372364 num_examples: 18928 - name: epoch_10 num_bytes: 44371662 num_examples: 18928 - name: epoch_11 num_bytes: 44370199 num_examples: 18928 - name: epoch_12 num_bytes: 44372011 num_examples: 18928 - name: epoch_13 num_bytes: 44371609 num_examples: 18928 - name: epoch_14 num_bytes: 44369899 num_examples: 18928 - name: epoch_15 num_bytes: 44370705 num_examples: 18928 - name: epoch_16 num_bytes: 44371750 num_examples: 18928 - name: epoch_17 num_bytes: 44370318 num_examples: 18928 - name: epoch_18 num_bytes: 44371110 num_examples: 18928 - name: epoch_19 num_bytes: 44372001 num_examples: 18928 - name: epoch_20 num_bytes: 44370853 num_examples: 18928 - name: epoch_21 num_bytes: 44369629 num_examples: 18928 - name: epoch_22 num_bytes: 44371126 num_examples: 18928 - name: epoch_23 num_bytes: 44371020 num_examples: 18928 - name: epoch_24 num_bytes: 44369679 num_examples: 18928 - name: epoch_25 num_bytes: 44371722 num_examples: 18928 - name: epoch_26 num_bytes: 44370162 num_examples: 18928 - name: epoch_27 num_bytes: 44371241 num_examples: 18928 - name: epoch_28 num_bytes: 44370149 num_examples: 18928 - name: epoch_29 num_bytes: 44369233 num_examples: 18928 download_size: 814280532 dataset_size: 1330557782 configs: - config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 data_files: - split: epoch_0 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_0-* - split: epoch_1 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_1-* - split: epoch_2 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_2-* - split: epoch_3 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_3-* - split: epoch_4 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_4-* - split: epoch_5 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_5-* - split: epoch_6 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_6-* - split: epoch_7 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_7-* - split: epoch_8 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_8-* - split: epoch_9 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_9-* - split: epoch_10 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_10-* - split: epoch_11 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_11-* - split: epoch_12 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_12-* - split: epoch_13 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_13-* - split: epoch_14 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_14-* - split: epoch_15 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_15-* - split: epoch_16 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_16-* - split: epoch_17 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_17-* - split: epoch_18 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_18-* - split: epoch_19 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_19-* - split: epoch_20 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_20-* - split: epoch_21 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_21-* - split: epoch_22 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_22-* - split: epoch_23 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_23-* - split: epoch_24 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_24-* - split: epoch_25 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_25-* - split: epoch_26 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_26-* - split: epoch_27 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_27-* - split: epoch_28 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_28-* - split: epoch_29 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_29-* ---

KK1mo/tedigan_gen_All

--- dataset_info: features: - name: id dtype: string - name: caption dtype: string - name: generated_image dtype: image splits: - name: train num_bytes: 354831267.0 num_examples: 2998 download_size: 354734037 dataset_size: 354831267.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

gbharti/wealth-alpaca_lora

--- language: - en --- This dataset is a combination of Stanford's Alpaca (https://github.com/tatsu-lab/stanford_alpaca) and FiQA (https://sites.google.com/view/fiqa/) with another 1.3k pairs custom generated using GPT3.5 Script for tuning through Kaggle's (https://www.kaggle.com) free resources using PEFT/LoRa: https://www.kaggle.com/code/gbhacker23/wealth-alpaca-lora

MottsCoding/meltpools1k

--- dataset_info: features: - name: images dtype: image - name: labels sequence: sequence: int32 splits: - name: train num_bytes: 50697182.0 num_examples: 9 download_size: 0 dataset_size: 50697182.0 --- # Dataset Card for "meltpools1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

freshpearYoon/vr_val_free_4

--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: filename dtype: string - name: NumOfUtterance dtype: int64 - name: text dtype: string - name: samplingrate dtype: int64 - name: begin_time dtype: float64 - name: end_time dtype: float64 - name: speaker_id dtype: string - name: directory dtype: string splits: - name: train num_bytes: 7119718719 num_examples: 10000 download_size: 1206748228 dataset_size: 7119718719 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_MysteriousAI__Mia-001

--- pretty_name: Evaluation run of MysteriousAI/Mia-001 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MysteriousAI/Mia-001](https://huggingface.co/MysteriousAI/Mia-001) 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_MysteriousAI__Mia-001\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-02T16:52:06.968259](https://huggingface.co/datasets/open-llm-leaderboard/details_MysteriousAI__Mia-001/blob/main/results_2024-04-02T16-52-06.968259.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/MysteriousAI/Mia-001 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_04_02T16_52_06.968259 path: - '**/details_harness|arc:challenge|25_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-02T16-52-06.968259.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|gsm8k|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hellaswag|10_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-02T16-52-06.968259.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-management|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-02T16-52-06.968259.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|truthfulqa:mc|0_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-02T16-52-06.968259.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_02T16_52_06.968259 path: - '**/details_harness|winogrande|5_2024-04-02T16-52-06.968259.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-02T16-52-06.968259.parquet' - config_name: results data_files: - split: 2024_04_02T16_52_06.968259 path: - results_2024-04-02T16-52-06.968259.parquet - split: latest path: - results_2024-04-02T16-52-06.968259.parquet --- # Dataset Card for Evaluation run of MysteriousAI/Mia-001  Dataset automatically created during the evaluation run of model [MysteriousAI/Mia-001](https://huggingface.co/MysteriousAI/Mia-001) 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_MysteriousAI__Mia-001", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-02T16:52:06.968259](https://huggingface.co/datasets/open-llm-leaderboard/details_MysteriousAI__Mia-001/blob/main/results_2024-04-02T16-52-06.968259.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, "acc_stderr": 0.03941897526516302, "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": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.2388250319284802, "acc_stderr": 0.015246803197398687, "acc_norm": 0.2388250319284802, "acc_norm_stderr": 0.015246803197398687 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.24566473988439305, "acc_stderr": 0.02317629820399201, "acc_norm": 0.24566473988439305, "acc_norm_stderr": 0.02317629820399201 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.23798882681564246, "acc_stderr": 0.014242630070574915, "acc_norm": 0.23798882681564246, "acc_norm_stderr": 0.014242630070574915 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.20915032679738563, "acc_stderr": 0.023287685312334806, "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, "acc_stderr": 0.02484792135806396, "acc_norm": 0.22340425531914893, "acc_norm_stderr": 0.02484792135806396 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.242503259452412, "acc_stderr": 0.010946570966348787, "acc_norm": 0.242503259452412, "acc_norm_stderr": 0.010946570966348787 }, "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 }, "harness|hendrycksTest-sociology|5": { "acc": 0.22885572139303484, "acc_stderr": 0.029705284056772436, "acc_norm": 0.22885572139303484, "acc_norm_stderr": 0.029705284056772436 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-virology|5": { "acc": 0.28313253012048195, "acc_stderr": 0.03507295431370518, "acc_norm": 0.28313253012048195, "acc_norm_stderr": 0.03507295431370518 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.2982456140350877, "acc_stderr": 0.03508771929824563, "acc_norm": 0.2982456140350877, "acc_norm_stderr": 0.03508771929824563 }, "harness|truthfulqa:mc|0": { "mc1": 0.24724602203182375, "mc1_stderr": 0.015102404797359654, "mc2": 0.4825112031965409, "mc2_stderr": 0.01620968936835715 }, "harness|winogrande|5": { "acc": 0.516179952644041, "acc_stderr": 0.014045126130978601 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

KaiLv/UDR_CNNDailyMail

--- dataset_info: features: - name: idx dtype: int64 - name: article dtype: string - name: highlights dtype: string - name: len_article dtype: int64 - name: len_highlights dtype: int64 splits: - name: train num_bytes: 453635426 num_examples: 155098 - name: validation num_bytes: 21468466 num_examples: 7512 - name: test num_bytes: 18215547 num_examples: 6379 - name: debug num_bytes: 292572035 num_examples: 100000 download_size: 484340245 dataset_size: 785891474 --- # Dataset Card for "UDR_CNNDailyMail" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ruanchaves/lynx

--- annotations_creators: - expert-generated language_creators: - machine-generated language: - code license: - unknown multilinguality: - monolingual size_categories: - unknown source_datasets: - original task_categories: - structure-prediction - code-generation - conditional-text-generation task_ids: [] pretty_name: Lynx tags: - word-segmentation --- # Dataset Card for Lynx ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Dataset Creation](#dataset-creation) - [Additional Information](#additional-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Paper:** [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf) ### Dataset Summary In programming languages, identifiers are tokens (also called symbols) which name language entities. Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages. Lynx is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier. Besides identifier segmentation, the gold labels for this dataset also include abbreviation expansion. ### Languages - C ## Dataset Structure ### Data Instances ``` { "index": 3, "identifier": "abspath", "segmentation": "abs path", "expansion": "absolute path", "spans": { "text": [ "abs" ], "expansion": [ "absolute" ], "start": [ 0 ], "end": [ 4 ] } } ``` ### Data Fields - `index`: a numerical index. - `identifier`: the original identifier. - `segmentation`: the gold segmentation for the identifier, without abbreviation expansion. - `expansion`: the gold segmentation for the identifier, with abbreviation expansion. - `spans`: the start and end index of each abbreviation, the text of the abbreviation and its corresponding expansion. ## Dataset Creation - All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`. - The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields. - There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ). - If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field. ### Citation Information ``` @inproceedings{madani2010recognizing, title={Recognizing words from source code identifiers using speech recognition techniques}, author={Madani, Nioosha and Guerrouj, Latifa and Di Penta, Massimiliano and Gueheneuc, Yann-Gael and Antoniol, Giuliano}, booktitle={2010 14th European Conference on Software Maintenance and Reengineering}, pages={68--77}, year={2010}, organization={IEEE} } ``` ### Contributions This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.

PlanTL-GOB-ES/MLDoc

--- YAML tags: annotations_creators: - expert-generated language: - es language_creators: - found multilinguality: - multilingual pretty_name: MLDoc license: cc-by-nc-4.0 size_categories: [] source_datasets: [] tags: [] task_categories: - text-classification task_ids: [] --- # MLDoc ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Website:** https://github.com/facebookresearch/MLDoc ### Dataset Summary For document classification, we use the Multilingual Document Classification Corpus (MLDoc) [(Schwenk and Li, 2018)](http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf), a cross-lingual document classification dataset covering 8 languages. We use the Spanish portion to evaluate our models on monolingual classification as part of the EvalEs Spanish language benchmark. The corpus consists of 14,458 news articles from Reuters classified in four categories: Corporate/Industrial, Economics, Government/Social and Markets. This dataset can't be downloaded straight from HuggingFace as it requires signing specific agreements. The detailed instructions on how to download it can be found in this [repository](https://github.com/facebookresearch/MLDoc). ### Supported Tasks and Leaderboards Text Classification ### Languages The dataset is in English, German, French, Spanish, Italian, Russian, Japanese and Chinese. ## Dataset Structure ### Data Instances <pre> MCAT b' FRANCFORT, 17 feb (Reuter) - La Bolsa de Francfort abri\xc3\xb3 la sesi\xc3\xb3n de corros con baja por la ca\xc3\xadda del viernes en Wall Street y una toma de beneficios. El d\xc3\xb3lar ayudaba a apuntalar al mercado, que pronto podr\xc3\xada reanudar su tendencia alcista. Volkswagen bajaba por los da\xc3\xb1os ocasionados por la huelga de camioneros en Espa\xc3\xb1a. Preussag participaba en un joint venture de exploraci\xc3\xb3n petrol\xc3\xadfera en Filipinas con Atlantic Richfield Co. A las 0951 GMT, el Dax 30 bajaba 10,49 puntos, un 0,32 pct, a 3.237,69 tras abrir a un m\xc3\xa1ximo de 3.237,69. (c) Reuters Limited 1997. ' </pre> ### Data Fields - Label: CCAT (Corporate/Industrial), ECAT (Economics), GCAT (Government/Social) and MCAT (Markets) - Text ### Data Splits - train.tsv: 9,458 lines - valid.tsv: 1,000 lines - test.tsv: 4,000 lines ## Dataset Creation ### Curation Rationale [N/A] ### Source Data The source data is from the Reuters Corpus. In 2000, Reuters Ltd made available a large collection of Reuters News stories for use in research and development of natural language processing, information retrieval, and machine learning systems. This corpus, known as "Reuters Corpus, Volume 1" or RCV1, is significantly larger than the older, well-known Reuters-21578 collection heavily used in the text classification community. For more information visit the paper [(Lewis et al., 2004)](https://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf). #### Initial Data Collection and Normalization For more information visit the paper [(Lewis et al., 2004)](https://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf). #### Who are the source language producers? For more information visit the paper [(Lewis et al., 2004)](https://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf). ### Annotations #### Annotation process For more information visit the paper [(Schwenk and Li, 2018; Lewis et al., 2004)](http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf). #### Who are the annotators? For more information visit the paper [(Schwenk and Li, 2018; Lewis et al., 2004)](http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf). ### Personal and Sensitive Information [N/A] ## Considerations for Using the Data ### Social Impact of Dataset This dataset contributes to the development of language models in Spanish. ### Discussion of Biases [N/A] ### Other Known Limitations [N/A] ## Additional Information ### Dataset Curators [N/A] ### Licensing Information Access to the actual news stories of the Reuters Corpus (both RCV1 and RCV2) requires a NIST agreement. The stories in the Reuters Corpus are under the copyright of Reuters Ltd and/or Thomson Reuters, and their use is governed by the following agreements: - Organizational agreement: This agreement must be signed by the person responsible for the data at your organization, and sent to NIST. - Individual agreement: This agreement must be signed by all researchers using the Reuters Corpus at your organization, and kept on file at your organization. For more information about the agreement see [here](https://trec.nist.gov/data/reuters/reuters.html) ### Citation Information The following paper must be cited when using this corpus: ``` @InProceedings{SCHWENK18.658, author = {Holger Schwenk and Xian Li}, title = {A Corpus for Multilingual Document Classification in Eight Languages}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-00-9}, language = {english} } @inproceedings{schwenk-li-2018-corpus, title = "A Corpus for Multilingual Document Classification in Eight Languages", author = "Schwenk, Holger and Li, Xian", booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)", month = may, year = "2018", address = "Miyazaki, Japan", publisher = "European Language Resources Association (ELRA)", url = "https://aclanthology.org/L18-1560", } ```

Emm9625/SlimOrca-dedupe-4k

--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 6608271.511536737 num_examples: 4000 - name: test num_bytes: 660827.1511536737 num_examples: 400 download_size: 3673854 dataset_size: 7269098.66269041 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

HADESJUDGEMENT/Art

--- license: unknown ---

results-sd-v1-5-sd-v2-1-if-v1-0-karlo/107a1506

--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 182 num_examples: 10 download_size: 1340 dataset_size: 182 --- # Dataset Card for "107a1506" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_cloudyu__mistral_28B_instruct_v0.1

--- pretty_name: Evaluation run of cloudyu/mistral_28B_instruct_v0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [cloudyu/mistral_28B_instruct_v0.1](https://huggingface.co/cloudyu/mistral_28B_instruct_v0.1)\ \ 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_cloudyu__mistral_28B_instruct_v0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-05T07:24:18.194696](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__mistral_28B_instruct_v0.1/blob/main/results_2024-03-05T07-24-18.194696.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\": 0.6048165720098292,\n\ \ \"acc_stderr\": 0.03318918937904906,\n \"acc_norm\": 0.6103008292910913,\n\ \ \"acc_norm_stderr\": 0.03386256440684409,\n \"mc1\": 0.44920440636474906,\n\ \ \"mc1_stderr\": 0.01741294198611531,\n \"mc2\": 0.6416534233937677,\n\ \ \"mc2_stderr\": 0.015338593594048558\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.53839590443686,\n \"acc_stderr\": 0.014568245550296358,\n\ \ \"acc_norm\": 0.5836177474402731,\n \"acc_norm_stderr\": 0.01440561827943618\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6085441147181836,\n\ \ \"acc_stderr\": 0.004870785036708288,\n \"acc_norm\": 0.8053176658036247,\n\ \ \"acc_norm_stderr\": 0.0039514673865977306\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.046482319871173156,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.046482319871173156\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6,\n \ \ \"acc_stderr\": 0.042320736951515885,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.042320736951515885\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6381578947368421,\n \"acc_stderr\": 0.03910525752849724,\n\ \ \"acc_norm\": 0.6381578947368421,\n \"acc_norm_stderr\": 0.03910525752849724\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.049999999999999996,\n \"acc_norm\": 0.55,\n \ \ \"acc_norm_stderr\": 0.049999999999999996\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.690566037735849,\n \"acc_stderr\": 0.028450154794118637,\n\ \ \"acc_norm\": 0.690566037735849,\n \"acc_norm_stderr\": 0.028450154794118637\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.049888765156985884,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.049888765156985884\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5722543352601156,\n\ \ \"acc_stderr\": 0.03772446857518025,\n \"acc_norm\": 0.5722543352601156,\n\ \ \"acc_norm_stderr\": 0.03772446857518025\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726366,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726366\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5063829787234042,\n \"acc_stderr\": 0.032683358999363366,\n\ \ \"acc_norm\": 0.5063829787234042,\n \"acc_norm_stderr\": 0.032683358999363366\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.041227371113703316,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.041227371113703316\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3835978835978836,\n \"acc_stderr\": 0.025043757318520196,\n \"\ acc_norm\": 0.3835978835978836,\n \"acc_norm_stderr\": 0.025043757318520196\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4365079365079365,\n\ \ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\ \ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6516129032258065,\n\ \ \"acc_stderr\": 0.027104826328100944,\n \"acc_norm\": 0.6516129032258065,\n\ \ \"acc_norm_stderr\": 0.027104826328100944\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.03517945038691063,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\ : 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7212121212121212,\n \"acc_stderr\": 0.03501438706296781,\n\ \ \"acc_norm\": 0.7212121212121212,\n \"acc_norm_stderr\": 0.03501438706296781\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.030746300742124488,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.030746300742124488\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8341968911917098,\n \"acc_stderr\": 0.026839845022314415,\n\ \ \"acc_norm\": 0.8341968911917098,\n \"acc_norm_stderr\": 0.026839845022314415\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5615384615384615,\n \"acc_stderr\": 0.02515826601686859,\n \ \ \"acc_norm\": 0.5615384615384615,\n \"acc_norm_stderr\": 0.02515826601686859\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.28888888888888886,\n \"acc_stderr\": 0.027634907264178544,\n \ \ \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.027634907264178544\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6470588235294118,\n \"acc_stderr\": 0.031041941304059288,\n\ \ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.031041941304059288\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.0395802723112157,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.0395802723112157\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7944954128440367,\n \"acc_stderr\": 0.017324352325016012,\n \"\ acc_norm\": 0.7944954128440367,\n \"acc_norm_stderr\": 0.017324352325016012\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145628,\n \"\ acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145628\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \ \ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6457399103139013,\n\ \ \"acc_stderr\": 0.03210062154134987,\n \"acc_norm\": 0.6457399103139013,\n\ \ \"acc_norm_stderr\": 0.03210062154134987\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7251908396946565,\n \"acc_stderr\": 0.03915345408847836,\n\ \ \"acc_norm\": 0.7251908396946565,\n \"acc_norm_stderr\": 0.03915345408847836\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228732,\n \"\ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228732\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7685185185185185,\n\ \ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.7685185185185185,\n\ \ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.034624199316156234,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.034624199316156234\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729245,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729245\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8547008547008547,\n\ \ \"acc_stderr\": 0.02308663508684141,\n \"acc_norm\": 0.8547008547008547,\n\ \ \"acc_norm_stderr\": 0.02308663508684141\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7905491698595147,\n\ \ \"acc_stderr\": 0.014551310568143698,\n \"acc_norm\": 0.7905491698595147,\n\ \ \"acc_norm_stderr\": 0.014551310568143698\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6763005780346821,\n \"acc_stderr\": 0.025190181327608408,\n\ \ \"acc_norm\": 0.6763005780346821,\n \"acc_norm_stderr\": 0.025190181327608408\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.30614525139664805,\n\ \ \"acc_stderr\": 0.015414494487903226,\n \"acc_norm\": 0.30614525139664805,\n\ \ \"acc_norm_stderr\": 0.015414494487903226\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6830065359477124,\n \"acc_stderr\": 0.026643278474508755,\n\ \ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.026643278474508755\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818774,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818774\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7006172839506173,\n \"acc_stderr\": 0.025483115601195448,\n\ \ \"acc_norm\": 0.7006172839506173,\n \"acc_norm_stderr\": 0.025483115601195448\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4645390070921986,\n \"acc_stderr\": 0.029752389657427047,\n \ \ \"acc_norm\": 0.4645390070921986,\n \"acc_norm_stderr\": 0.029752389657427047\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4061277705345502,\n\ \ \"acc_stderr\": 0.012543154588412942,\n \"acc_norm\": 0.4061277705345502,\n\ \ \"acc_norm_stderr\": 0.012543154588412942\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6433823529411765,\n \"acc_stderr\": 0.029097209568411955,\n\ \ \"acc_norm\": 0.6433823529411765,\n \"acc_norm_stderr\": 0.029097209568411955\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6111111111111112,\n \"acc_stderr\": 0.019722058939618068,\n \ \ \"acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.019722058939618068\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\ \ \"acc_stderr\": 0.043091187099464585,\n \"acc_norm\": 0.7181818181818181,\n\ \ \"acc_norm_stderr\": 0.043091187099464585\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065677,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065677\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7064676616915423,\n\ \ \"acc_stderr\": 0.03220024104534205,\n \"acc_norm\": 0.7064676616915423,\n\ \ \"acc_norm_stderr\": 0.03220024104534205\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4759036144578313,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.4759036144578313,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.44920440636474906,\n\ \ \"mc1_stderr\": 0.01741294198611531,\n \"mc2\": 0.6416534233937677,\n\ \ \"mc2_stderr\": 0.015338593594048558\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7482241515390686,\n \"acc_stderr\": 0.01219848910025978\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.379833206974981,\n \ \ \"acc_stderr\": 0.013368818096960496\n }\n}\n```" repo_url: https://huggingface.co/cloudyu/mistral_28B_instruct_v0.1 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_05T07_24_18.194696 path: - '**/details_harness|arc:challenge|25_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-05T07-24-18.194696.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|gsm8k|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hellaswag|10_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-05T07-24-18.194696.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-management|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-05T07-24-18.194696.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|truthfulqa:mc|0_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-05T07-24-18.194696.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_05T07_24_18.194696 path: - '**/details_harness|winogrande|5_2024-03-05T07-24-18.194696.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-05T07-24-18.194696.parquet' - config_name: results data_files: - split: 2024_03_05T07_24_18.194696 path: - results_2024-03-05T07-24-18.194696.parquet - split: latest path: - results_2024-03-05T07-24-18.194696.parquet --- # Dataset Card for Evaluation run of cloudyu/mistral_28B_instruct_v0.1  Dataset automatically created during the evaluation run of model [cloudyu/mistral_28B_instruct_v0.1](https://huggingface.co/cloudyu/mistral_28B_instruct_v0.1) 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_cloudyu__mistral_28B_instruct_v0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-05T07:24:18.194696](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__mistral_28B_instruct_v0.1/blob/main/results_2024-03-05T07-24-18.194696.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": 0.6048165720098292, "acc_stderr": 0.03318918937904906, "acc_norm": 0.6103008292910913, "acc_norm_stderr": 0.03386256440684409, "mc1": 0.44920440636474906, "mc1_stderr": 0.01741294198611531, "mc2": 0.6416534233937677, "mc2_stderr": 0.015338593594048558 }, "harness|arc:challenge|25": { "acc": 0.53839590443686, "acc_stderr": 0.014568245550296358, "acc_norm": 0.5836177474402731, "acc_norm_stderr": 0.01440561827943618 }, "harness|hellaswag|10": { "acc": 0.6085441147181836, "acc_stderr": 0.004870785036708288, "acc_norm": 0.8053176658036247, "acc_norm_stderr": 0.0039514673865977306 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6, "acc_stderr": 0.042320736951515885, "acc_norm": 0.6, "acc_norm_stderr": 0.042320736951515885 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6381578947368421, "acc_stderr": 0.03910525752849724, "acc_norm": 0.6381578947368421, "acc_norm_stderr": 0.03910525752849724 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.690566037735849, "acc_stderr": 0.028450154794118637, "acc_norm": 0.690566037735849, "acc_norm_stderr": 0.028450154794118637 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6944444444444444, "acc_stderr": 0.03852084696008534, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.03852084696008534 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.049888765156985884, "acc_norm": 0.44, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5722543352601156, "acc_stderr": 0.03772446857518025, "acc_norm": 0.5722543352601156, "acc_norm_stderr": 0.03772446857518025 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.04897104952726366, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726366 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5063829787234042, "acc_stderr": 0.032683358999363366, "acc_norm": 0.5063829787234042, "acc_norm_stderr": 0.032683358999363366 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.041227371113703316, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.041227371113703316 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3835978835978836, "acc_stderr": 0.025043757318520196, "acc_norm": 0.3835978835978836, "acc_norm_stderr": 0.025043757318520196 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4365079365079365, "acc_stderr": 0.04435932892851466, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.04435932892851466 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6516129032258065, "acc_stderr": 0.027104826328100944, "acc_norm": 0.6516129032258065, "acc_norm_stderr": 0.027104826328100944 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5024630541871922, "acc_stderr": 0.03517945038691063, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.03517945038691063 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.64, "acc_stderr": 0.048241815132442176, "acc_norm": 0.64, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7212121212121212, "acc_stderr": 0.03501438706296781, "acc_norm": 0.7212121212121212, "acc_norm_stderr": 0.03501438706296781 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7525252525252525, "acc_stderr": 0.030746300742124488, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.030746300742124488 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8341968911917098, "acc_stderr": 0.026839845022314415, "acc_norm": 0.8341968911917098, "acc_norm_stderr": 0.026839845022314415 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5615384615384615, "acc_stderr": 0.02515826601686859, "acc_norm": 0.5615384615384615, "acc_norm_stderr": 0.02515826601686859 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.28888888888888886, "acc_stderr": 0.027634907264178544, "acc_norm": 0.28888888888888886, "acc_norm_stderr": 0.027634907264178544 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6470588235294118, "acc_stderr": 0.031041941304059288, "acc_norm": 0.6470588235294118, "acc_norm_stderr": 0.031041941304059288 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.37748344370860926, "acc_stderr": 0.0395802723112157, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.0395802723112157 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7944954128440367, "acc_stderr": 0.017324352325016012, "acc_norm": 0.7944954128440367, "acc_norm_stderr": 0.017324352325016012 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7647058823529411, "acc_stderr": 0.029771775228145628, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.029771775228145628 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7510548523206751, "acc_stderr": 0.028146970599422644, "acc_norm": 0.7510548523206751, "acc_norm_stderr": 0.028146970599422644 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6457399103139013, "acc_stderr": 0.03210062154134987, "acc_norm": 0.6457399103139013, "acc_norm_stderr": 0.03210062154134987 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7251908396946565, "acc_stderr": 0.03915345408847836, "acc_norm": 0.7251908396946565, "acc_norm_stderr": 0.03915345408847836 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7768595041322314, "acc_stderr": 0.03800754475228732, "acc_norm": 0.7768595041322314, "acc_norm_stderr": 0.03800754475228732 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7685185185185185, "acc_stderr": 0.04077494709252627, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.04077494709252627 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7361963190184049, "acc_stderr": 0.034624199316156234, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.034624199316156234 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness|hendrycksTest-management|5": { "acc": 0.7087378640776699, "acc_stderr": 0.044986763205729245, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.044986763205729245 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8547008547008547, "acc_stderr": 0.02308663508684141, "acc_norm": 0.8547008547008547, "acc_norm_stderr": 0.02308663508684141 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7905491698595147, "acc_stderr": 0.014551310568143698, "acc_norm": 0.7905491698595147, "acc_norm_stderr": 0.014551310568143698 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6763005780346821, "acc_stderr": 0.025190181327608408, "acc_norm": 0.6763005780346821, "acc_norm_stderr": 0.025190181327608408 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.30614525139664805, "acc_stderr": 0.015414494487903226, "acc_norm": 0.30614525139664805, "acc_norm_stderr": 0.015414494487903226 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6830065359477124, "acc_stderr": 0.026643278474508755, "acc_norm": 0.6830065359477124, "acc_norm_stderr": 0.026643278474508755 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818774, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818774 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7006172839506173, "acc_stderr": 0.025483115601195448, "acc_norm": 0.7006172839506173, "acc_norm_stderr": 0.025483115601195448 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4645390070921986, "acc_stderr": 0.029752389657427047, "acc_norm": 0.4645390070921986, "acc_norm_stderr": 0.029752389657427047 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4061277705345502, "acc_stderr": 0.012543154588412942, "acc_norm": 0.4061277705345502, "acc_norm_stderr": 0.012543154588412942 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6433823529411765, "acc_stderr": 0.029097209568411955, "acc_norm": 0.6433823529411765, "acc_norm_stderr": 0.029097209568411955 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6111111111111112, "acc_stderr": 0.019722058939618068, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.019722058939618068 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7181818181818181, "acc_stderr": 0.043091187099464585, "acc_norm": 0.7181818181818181, "acc_norm_stderr": 0.043091187099464585 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7020408163265306, "acc_stderr": 0.029279567411065677, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065677 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7064676616915423, "acc_stderr": 0.03220024104534205, "acc_norm": 0.7064676616915423, "acc_norm_stderr": 0.03220024104534205 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774708, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774708 }, "harness|hendrycksTest-virology|5": { "acc": 0.4759036144578313, "acc_stderr": 0.03887971849597264, "acc_norm": 0.4759036144578313, "acc_norm_stderr": 0.03887971849597264 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8128654970760234, "acc_stderr": 0.02991312723236804, "acc_norm": 0.8128654970760234, "acc_norm_stderr": 0.02991312723236804 }, "harness|truthfulqa:mc|0": { "mc1": 0.44920440636474906, "mc1_stderr": 0.01741294198611531, "mc2": 0.6416534233937677, "mc2_stderr": 0.015338593594048558 }, "harness|winogrande|5": { "acc": 0.7482241515390686, "acc_stderr": 0.01219848910025978 }, "harness|gsm8k|5": { "acc": 0.379833206974981, "acc_stderr": 0.013368818096960496 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

distilabel-internal-testing/instruction-dataset-sample

--- dataset_info: features: - name: prompt dtype: string - name: completion dtype: string splits: - name: test num_bytes: 8005 num_examples: 10 download_size: 8330 dataset_size: 8005 configs: - config_name: default data_files: - split: test path: data/test-* ---

qwtreue5u5trhdfgh/IllusionDiffusionGC

--- license: mit ---

open-llm-leaderboard/details_jondurbin__airoboros-65b-gpt4-1.4

--- pretty_name: Evaluation run of jondurbin/airoboros-65b-gpt4-1.4 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jondurbin/airoboros-65b-gpt4-1.4](https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 4 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 agregated 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_jondurbin__airoboros-65b-gpt4-1.4\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-29T17:40:12.862636](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-65b-gpt4-1.4/blob/main/results_2023-10-29T17-40-12.862636.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 \"em\": 0.048133389261744965,\n\ \ \"em_stderr\": 0.0021920523387187097,\n \"f1\": 0.11759647651006695,\n\ \ \"f1_stderr\": 0.0024834303220337473,\n \"acc\": 0.4884045517729164,\n\ \ \"acc_stderr\": 0.010955153685387409\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.048133389261744965,\n \"em_stderr\": 0.0021920523387187097,\n\ \ \"f1\": 0.11759647651006695,\n \"f1_stderr\": 0.0024834303220337473\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.18043972706595907,\n \ \ \"acc_stderr\": 0.010592508589147896\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7963693764798737,\n \"acc_stderr\": 0.011317798781626922\n\ \ }\n}\n```" repo_url: https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4 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: 2023_08_09T18_17_34.414751 path: - '**/details_harness|arc:challenge|25_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-09T18:17:34.414751.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_23T05_17_46.947970 path: - '**/details_harness|drop|3_2023-10-23T05-17-46.947970.parquet' - split: 2023_10_23T05_35_00.206888 path: - '**/details_harness|drop|3_2023-10-23T05-35-00.206888.parquet' - split: 2023_10_29T17_40_12.862636 path: - '**/details_harness|drop|3_2023-10-29T17-40-12.862636.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-29T17-40-12.862636.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_23T05_17_46.947970 path: - '**/details_harness|gsm8k|5_2023-10-23T05-17-46.947970.parquet' - split: 2023_10_23T05_35_00.206888 path: - '**/details_harness|gsm8k|5_2023-10-23T05-35-00.206888.parquet' - split: 2023_10_29T17_40_12.862636 path: - '**/details_harness|gsm8k|5_2023-10-29T17-40-12.862636.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-29T17-40-12.862636.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hellaswag|10_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-09T18:17:34.414751.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-management|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T18:17:34.414751.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_09T18_17_34.414751 path: - '**/details_harness|truthfulqa:mc|0_2023-08-09T18:17:34.414751.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-09T18:17:34.414751.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_23T05_17_46.947970 path: - '**/details_harness|winogrande|5_2023-10-23T05-17-46.947970.parquet' - split: 2023_10_23T05_35_00.206888 path: - '**/details_harness|winogrande|5_2023-10-23T05-35-00.206888.parquet' - split: 2023_10_29T17_40_12.862636 path: - '**/details_harness|winogrande|5_2023-10-29T17-40-12.862636.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-29T17-40-12.862636.parquet' - config_name: results data_files: - split: 2023_08_09T18_17_34.414751 path: - results_2023-08-09T18:17:34.414751.parquet - split: 2023_10_23T05_17_46.947970 path: - results_2023-10-23T05-17-46.947970.parquet - split: 2023_10_23T05_35_00.206888 path: - results_2023-10-23T05-35-00.206888.parquet - split: 2023_10_29T17_40_12.862636 path: - results_2023-10-29T17-40-12.862636.parquet - split: latest path: - results_2023-10-29T17-40-12.862636.parquet --- # Dataset Card for Evaluation run of jondurbin/airoboros-65b-gpt4-1.4 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4 - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [jondurbin/airoboros-65b-gpt4-1.4](https://huggingface.co/jondurbin/airoboros-65b-gpt4-1.4) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 4 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 agregated 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_jondurbin__airoboros-65b-gpt4-1.4", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-29T17:40:12.862636](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__airoboros-65b-gpt4-1.4/blob/main/results_2023-10-29T17-40-12.862636.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": { "em": 0.048133389261744965, "em_stderr": 0.0021920523387187097, "f1": 0.11759647651006695, "f1_stderr": 0.0024834303220337473, "acc": 0.4884045517729164, "acc_stderr": 0.010955153685387409 }, "harness|drop|3": { "em": 0.048133389261744965, "em_stderr": 0.0021920523387187097, "f1": 0.11759647651006695, "f1_stderr": 0.0024834303220337473 }, "harness|gsm8k|5": { "acc": 0.18043972706595907, "acc_stderr": 0.010592508589147896 }, "harness|winogrande|5": { "acc": 0.7963693764798737, "acc_stderr": 0.011317798781626922 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

ch08931/sandyOV2

--- license: openrail ---

YuuSorata/Ellis

--- license: openrail ---

tyzhu/squad_qa_no_id_v5_full_random_permute_2

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 - name: answer dtype: string - name: context_id dtype: string - name: inputs dtype: string - name: targets dtype: string splits: - name: train num_bytes: 5042862.974380165 num_examples: 3365 - name: validation num_bytes: 342766 num_examples: 300 download_size: 1264341 dataset_size: 5385628.974380165 --- # Dataset Card for "squad_qa_no_id_v5_full_random_permute_2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

mainuzzaman/newcoursedataset

--- license: apache-2.0 ---

NexaAI/fill50K

--- license: openrail dataset_info: features: - name: image dtype: image - name: conditioning_image dtype: image - name: text dtype: string splits: - name: train num_bytes: 2025713512.0 num_examples: 50000 download_size: 1910547936 dataset_size: 2025713512.0 ---

ruanchaves/bt11

--- annotations_creators: - expert-generated language_creators: - machine-generated language: - code license: - unknown multilinguality: - monolingual size_categories: - unknown source_datasets: - original task_categories: - structure-prediction task_ids: [] pretty_name: BT11 tags: - word-segmentation --- # Dataset Card for BT11 ## Dataset Description - **Paper:** [Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF](https://ksiresearch.org/seke/seke18paper/seke18paper_167.pdf) ### Dataset Summary In programming languages, identifiers are tokens (also called symbols) which name language entities. Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages. BT11 is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier. ### Languages - Java ## Dataset Structure ### Data Instances ``` { "index": 20170, "identifier": "currentLineHighlight", "segmentation": "current Line Highlight" } ``` ### Data Fields - `index`: a numerical index. - `identifier`: the original identifier. - `segmentation`: the gold segmentation for the identifier. ## Dataset Creation - All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: `hashtag` and `segmentation` or `identifier` and `segmentation`. - The only difference between `hashtag` and `segmentation` or between `identifier` and `segmentation` are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields. - There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as `_` , `:`, `~` ). - If there are any annotations for named entity recognition and other token classification tasks, they are given in a `spans` field. ## Additional Information ### Citation Information ``` @inproceedings{butler2011improving, title={Improving the tokenisation of identifier names}, author={Butler, Simon and Wermelinger, Michel and Yu, Yijun and Sharp, Helen}, booktitle={European Conference on Object-Oriented Programming}, pages={130--154}, year={2011}, organization={Springer} } ``` ### Contributions This dataset was added by [@ruanchaves](https://github.com/ruanchaves) while developing the [hashformers](https://github.com/ruanchaves/hashformers) library.

puhsu/tabular-benchmarks

--- task_categories: - tabular-classification - tabular-regression pretty_name: tabualar-benchmarks --- Datasets used in the paper TODO To download the archive you could use: ```bash wget https://huggingface.co/datasets/puhsu/tabular-benchmarks/resolve/main/data.tar ```

r0ll/Ivanzolo2004

--- license: openrail language: - ru ---

open-llm-leaderboard/details_bofenghuang__vigogne-2-7b-chat

--- pretty_name: Evaluation run of bofenghuang/vigogne-2-7b-chat dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [bofenghuang/vigogne-2-7b-chat](https://huggingface.co/bofenghuang/vigogne-2-7b-chat)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\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_bofenghuang__vigogne-2-7b-chat\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T13:35:42.061271](https://huggingface.co/datasets/open-llm-leaderboard/details_bofenghuang__vigogne-2-7b-chat/blob/main/results_2023-09-22T13-35-42.061271.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 \"em\": 0.2779991610738255,\n\ \ \"em_stderr\": 0.0045880722162316605,\n \"f1\": 0.32825188758389273,\n\ \ \"f1_stderr\": 0.004516960799751206,\n \"acc\": 0.41080456661279235,\n\ \ \"acc_stderr\": 0.00980948368433141\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.2779991610738255,\n \"em_stderr\": 0.0045880722162316605,\n\ \ \"f1\": 0.32825188758389273,\n \"f1_stderr\": 0.004516960799751206\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.07733131159969674,\n \ \ \"acc_stderr\": 0.007357713523222347\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.744277821625888,\n \"acc_stderr\": 0.012261253845440473\n\ \ }\n}\n```" repo_url: https://huggingface.co/bofenghuang/vigogne-2-7b-chat 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: 2023_08_22T13_29_32.035608 path: - '**/details_harness|arc:challenge|25_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-22T13:29:32.035608.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T13_35_42.061271 path: - '**/details_harness|drop|3_2023-09-22T13-35-42.061271.parquet' - split: latest path: - '**/details_harness|drop|3_2023-09-22T13-35-42.061271.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T13_35_42.061271 path: - '**/details_harness|gsm8k|5_2023-09-22T13-35-42.061271.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-09-22T13-35-42.061271.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hellaswag|10_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:29:32.035608.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:29:32.035608.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_22T13_29_32.035608 path: - '**/details_harness|truthfulqa:mc|0_2023-08-22T13:29:32.035608.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-22T13:29:32.035608.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T13_35_42.061271 path: - '**/details_harness|winogrande|5_2023-09-22T13-35-42.061271.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-09-22T13-35-42.061271.parquet' - config_name: results data_files: - split: 2023_09_22T13_35_42.061271 path: - results_2023-09-22T13-35-42.061271.parquet - split: latest path: - results_2023-09-22T13-35-42.061271.parquet --- # Dataset Card for Evaluation run of bofenghuang/vigogne-2-7b-chat ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/bofenghuang/vigogne-2-7b-chat - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [bofenghuang/vigogne-2-7b-chat](https://huggingface.co/bofenghuang/vigogne-2-7b-chat) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). 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_bofenghuang__vigogne-2-7b-chat", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T13:35:42.061271](https://huggingface.co/datasets/open-llm-leaderboard/details_bofenghuang__vigogne-2-7b-chat/blob/main/results_2023-09-22T13-35-42.061271.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": { "em": 0.2779991610738255, "em_stderr": 0.0045880722162316605, "f1": 0.32825188758389273, "f1_stderr": 0.004516960799751206, "acc": 0.41080456661279235, "acc_stderr": 0.00980948368433141 }, "harness|drop|3": { "em": 0.2779991610738255, "em_stderr": 0.0045880722162316605, "f1": 0.32825188758389273, "f1_stderr": 0.004516960799751206 }, "harness|gsm8k|5": { "acc": 0.07733131159969674, "acc_stderr": 0.007357713523222347 }, "harness|winogrande|5": { "acc": 0.744277821625888, "acc_stderr": 0.012261253845440473 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

results-sd-v1-5-sd-v2-1-if-v1-0-karlo/fbd4ca1b

--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 186 num_examples: 10 download_size: 1333 dataset_size: 186 --- # Dataset Card for "fbd4ca1b" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Amanaccessassist/playsent10m

--- dataset_info: features: - name: final_text dtype: string - name: label dtype: dtype: class_label: names: '0': Negative '1': Positive splits: - name: train num_bytes: 61468420.68408292 num_examples: 644415 - name: test num_bytes: 6829856.31591708 num_examples: 71602 download_size: 37372122 dataset_size: 68298277.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

nikchar/claim_detection_paper_test_squeezebert

--- dataset_info: features: - name: label dtype: string - name: claim dtype: string - name: evidence_wiki_url dtype: string - name: Is_Claim dtype: string - name: Claim_detection_result dtype: string splits: - name: train num_bytes: 1175947 num_examples: 11073 download_size: 507280 dataset_size: 1175947 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "claim_detection_paper_test_squeezebert" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

gcjavi/dataviewer-test

--- annotations_creators: - expert-generated language: - gl license: - mit multilinguality: - monolingual dataset_info: - config_name: config features: - name: audio_id dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: sentence dtype: string --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.

CristoJV/image-folder

--- license: mit ---

minnesotanlp/LLM-Artifacts

--- configs: - config_name: task_label data_files: "intermodel_cleaned_maj_min.csv" - config_name: preference_p2c data_files: "p2c_human_gpt3_pref.csv" - config_name: preference_cobbler_GPT4 data_files: "cobbler_gpt4.csv" - config_name: preference_cobbler_ChatGPT data_files: "cobbler_chatgpt.csv" - config_name: instruction data_files: "first_order_annotations.csv" - config_name: simulation_roleflip data_files: "CAMEL_annotated.csv" - config_name: simulation_digression data_files: "spp_digression_fin.csv" - config_name: freeform_deepfake_human data_files: "deepfake_human.csv" - config_name: freeform_deepfake_machine data_files: "deepfake_machine-002.csv" - config_name: freeform_hc3_human data_files: "hc3_human.csv" - config_name: freeform_hc3_machine data_files: "hc3_machine.csv" - config_name: freeform_worker_human data_files: "worker_human.csv" - config_name: freeform_worker_machine data_files: "worker_machine.csv" - config_name: qual_tasklabel data_files: "qual_tasklabel.csv" - config_name: qual_preference_p2c data_files: "qual_preference_p2c.csv" - config_name: qual_freeform data_files: "qual_freetext.csv" --- <div align="center"> <h1>Under the Surface: Tracking the Artifactuality of LLM-Generated Data</h1>  _**Debarati Das<sup>†</sup><sup>¶</sup>, Karin de Langis<sup>¶</sup>, Anna Martin-Boyle<sup>¶</sup>, Jaehyung Kim<sup>¶</sup>, Minhwa Lee<sup>¶</sup>, Zae Myung Kim<sup>¶</sup><br>**_ _**Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Sachin Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu**_ _**Dongyeop Kang<br>**_ _**Minnesota NLP, University of Minnesota Twin Cities**_  <sup>†</sup> Project Lead, <sup>¶</sup> Core Contribution, <a href="https://arxiv.org/abs/2401.14698"> Arxiv </a> <a href="https://minnesotanlp.github.io/artifact/"> Project Page </a> </div> ## 📌 Table of Contents - [Introduction](#🚀-introduction) - [Dataset Structure](#📝-dataset) - [Task Label](#1-task-label) - [Preference](#2-preference) - [Instructions](#3-instructions) - [Simulation](#4-simulation) - [Free-form Text](#5-free-form-text) - [Citation](#📚-citation) ## 🚀 Introduction <div align="center"> <img src="iceberg_modified.png" style="width:50%;height:auto;" align="center"> </div> We present a pioneering effort in gathering a diverse range of text data produced by LLMs, covering everything from more structured "task labels" to open-ended "free-form text." This comprehensive collection is significant as it allows for a unique and holistic examination of LLM outputs and provides insights into how LLMs perform under varying degrees of structure and freedom, which is essential for both understanding their current state and guiding future improvements and applications. We aggregate and conduct comprehensive stress tests on various data generated by LLMs using the existing benchmarks, offering a thorough evaluation of the quality, consistency, and reliability of LLM outputs across diverse models and scenarios, thereby providing a groundbreaking insight into their strengths and weaknesses for future research and development. Our research emphasizes the critical need for responsible and ethical practices in creating and using LLM-generated data, advocating for collaborative efforts among stakeholders to address biases, increase diversity, and deepen the understanding of complex human opinions in LLM outputs, thereby ensuring their development benefits society ethically and sustainably. ## 📝 Dataset The dataset consists of **five** different types of LLM-generated data: **(1) Task Labels, (2) Preference, (3) Instructions, (4) Simulation, and (5) Free-form Texts**. <hr> ### 1. Task Label #### (1) Dataset Info Contains human/machine annotations from source datasets and their majority/minority label aggregations. #### (2) Data Sources - License - [Social Bias Frames (SBIC)](https://huggingface.co/datasets/social_bias_frames) - cc-by-4.0 - [GAB Hate Corpus (GHC)](https://osf.io/edua3/) - cc-by-4.0 International - [Age-Related-Sentiment (Sentiment)](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/F6EMTS) - cc-by-1.0 Universal - [Social Chemistry (Schem5Labels)](https://github.com/mbforbes/social-chemistry-101) - CC BY-SA 4.0 #### (3) Column Info - `'model_name'`: specifies the model that was prompted to generate the model annotations for the text. This can take values: vicuna, baize,llama2, koala, open_ai_gpt35turbo - `'dataset_name'`: specifies the source dataset of the text. This can take values: SBIC, GHC, Sentiment, and Schem5Labels - `'text_ind'`: this is the unique index of the text in the complete dataset - `'text'`: this is the text which the human or machine needs to provide an annotation for - `'prompt'`: This is the prompt provided to the model for the annotation task - `'human_annots'`: This consists of the list of annotations generated by human annotators for this task. These are ordinal categorical variables. - `'model_annots'`: This consists of the list of annotations generated by model annotators for this task. These are ordinal categorical variables. If a value is -1 in this list, it means the model did not return a response for this text. - `'human_majority'`: this consists of a list containing the majority annotation value(s) among the human-annotated list for that text. - `'machine_majority'`: this consists of a list containing the majority annotation value(s) among the machine-annotated list for that text. - `'human_minority'`: this consists of a list containing the minority annotation value(s) among the human-annotated list for that text. - `'machine_minority'`: this consists of a list containing the minority annotation value(s) among the machine-annotated list for that text. #### (4) How to access There is one subset associated with this data type: - **task_label**: intermodel setup with majority/minority opinions aggregated from all data sources Use the example code below to load the task label split. Change the split name. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "task_label", split='train') # streaming=True (optional) ``` #### (5) Qualitative Analysis To view examples used in the qualitative analysis regarding bias annotations, please copy and paste the below code: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "qual_tasklabel", split='train') ``` #### (6) Others For majority/minority calculation, please note the following: - A list of values that are the majority or minority values in the passed list is returned. For example, if the given input list is [1.0,1.0,2.0,2.0,3.0], then majority value will be [1.0,2.0] and the minority value will be [3.0] - If all values in the annotation list are -1, then no valid majority or minority can be calculated. Therefore, None is returned. - If all unique values are present in the annotation list, then no valid majority or minority can be calculated. Therefore, None is returned. <hr> ### 2. Preference #### (1) Dataset Info Contains Human/Machine Preferences from source datasets and their locality lexicon (for p2c) and entailment (for CoBBLEr) preference. #### (2) Data Sources (License) - [Prefer to Classify ('p2c')](https://arxiv.org/pdf/2306.04925.pdf) - Note that the sentences are originally extracted from [DynaSent Round 2](https://huggingface.co/datasets/dynabench/dynasent/viewer/dynabench.dynasent.r2.all) - [CoBBLEr](https://minnesotanlp.github.io/cobbler-project-page/demo/index.html) - The sentences are originally extracted from [Eli5](https://huggingface.co/datasets/eli5) and [BigBench](https://huggingface.co/datasets/bigbench). #### (3) Column Info Commonly for each row, there are a pair of sentences ('sent_1' and 'sent_2'), with human and machine preferences. - Preference Label 0: prefer sent_1 - Preference Label 1: prefer sent_2 - Preference Label 2: tie (no preference) For p2c dataset, there are the sentiment lexicon-based preference and the difference score between the two sentences in each row. - `'sent_1'`: sentence 1 of a pair - `'sent_2'`: sentence 2 of a pair - `'gold_label'`: the gold sentiment label of both `'sent_1'` and `'sent_2'` (e.g., positive/negative/neutral) - `'human_pref'`: human preference - `'gpt3_pref'`: GPT-3 preference - `'lexicon_pref'`: the lexicon-based preference between `'sent_1'` and `'sent_2'` - `'lexicon_diff'`: the difference in lexicon scores between sentence pairs For CoBBLEr dataset, there are textual entailment-based preferences and difference scores between the sentences in each row. - `'model_1'`: the model name that generated sentence 1 - `'model_2'`: the model name that generated sentence 2 - `'sentence_1'`: sentence 1 of a pair - `'sentence_2'`: sentence 2 of a pair - `'human_pref'`: human preference - `'machine_pref'`: LLM preference (GPT-4 or ChatGPT) - `'entail_pref'`: the entailment-based preference between `'sentence_1'` and `'sentence_2'` - `'entail_diff'`: the difference in entailment scores (computed by RoBERTa-large-MNLI) between two sentences in a pair. #### (4) How to access There are three subsets associated with this data type: - **preference_p2c**: p2c data with human and GPT-3 preferences - **preference_cobbler_gpt4**: cobbler data with human and GPT-4 preferences - **preference_cobbler_chatgpt**: cobbler with human and ChatGPT preferences Use the example code below to load the subset of preference_cobbler_gpt4. Change the subset name. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "preference_cobbler_gpt4", split='train') ``` #### (5) Qualitative Analysis For `'p2c'` dataset, we release the data with each sentence in a pair annotated with extracted lexicons based on [Hayati et al (2021)](https://aclanthology.org/2021.emnlp-main.510/). Also, for several columns in this data, their value consists of a dictionary where each key is the extracted lexicon and its value is the corresponding importance. For example, the column `'sent_{1/2}_anger'`is a dictionary of anger-related lexicons with the corresponding importance scores in the (first/second) sentence. Our study uses the first key with the maximum value score in each lexicon group to decide lexicon-based preferences. To use this dataset, please note the following: ```python import pandas as pd dataset = load_dataset("minnesotanlp/LLM-Artifacts", "qual_preference_p2c", split='train') dataset = pd.DataFrame(dataset) ``` For sentence pairs of positive sentiment, we used the following columns: - `'sent_{1/2}_{joy/politeness}_words'` and - `'sent_{1/2}_sentiment_words'` that has values of greater than 0 (positive). Conversely, for the pairs of negative sentiments, we used the following columns: - `'sent_{1/2}_{anger/disgust/fear/sad/offensive}_words'`, - `'sent_{1/2}_polite_words'` that has values of below 0 (rudeness) and - `'sent_{1/2}_sentiment_words'` that has values of below 0 (negative). #### (6) Others <hr> ### 3. Instructions #### (1) Dataset Info (1) Human annotations of error types in 800 examples from four different synthetic instruction datasets, and (2) three random samplings of 10k samples for each of the following datasets: Cleaned Alpaca, Dolly, Self Instruct, and Supernatural Instructions. There is a total of 30k samples for each of the datasets (3 seeds each). #### (2) Data Sources (License) - [Unnatural Instructions](https://github.com/orhonovich/unnatural-instructions) - MIT - [Self-Instruct](https://github.com/yizhongw/self-instruct) - Apache License 2.0 - [Alpaca-Cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) - Creative Commons NonCommercial (CC BY-NC 4.0). - [GPT-4-LLM](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) - Creative Commons NonCommercial (CC BY-NC 4.0). - [Dolly](https://github.com/databrickslabs/dolly) - Apache License 2.0 - [Supernatural Instructions](https://github.com/allenai/natural-instructions) - Apache License 2.0 #### (3) Column Info (1) Error Annotations - `'instruction'`: an instruction to follow - `'constraints'`: samples from the Unnatural Instruction set have an additional data type called `'constraints'`, which specify the form the output should take (e.g. `output should be 'True' or 'False'`) - `'input'`: an input to the corresponding instruction - `'output'`: the output given the corresponding instruction and the input - `'dataset'`: the name of the source dataset that the instruction comes from - `'QA_type'`: the question-answer type (Open-QA or Closed-QA) - `'error'`: the error type (one of the following: incomprehensible instruction, inconsistent input, inconsistent output, and incorrect output) - `'second_error'`: sometimes a sample contains more than one error; a second error will be denoted in this column - `'third_error'`: a third error will be denoted in this column #### (4) How to access (1) Error Annotations: - **instruction**: first-order experiment setup with error type annotations aggregated from all data sources Use the example code below to load the instruction subset. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "instruction", split='train') ``` #### (5) Qualitative Analysis The `'instruction'` experiment is based on the manual annotations of each error type found in the synthetic datasets. Thus, if you want to view examples for qualitative analysis, use the same split information as below: ```python from datasets import load_dataset import pandas as pd dataset = load_dataset("minnesotanlp/LLM-Artifacts", "instruction", split='train') data = pd.read_csv(dataset) ``` #### (6) Others **For the second-order experiment,** Please use [this dataset (`instruction_fine-tuning_data.csv`)](https://huggingface.co/datasets/minnesotanlp/LLM-Artifacts/resolve/main/instruction_fine-tuning_data.csv). The following is the column information: - `'task_name'`: the name of the instruction task. Only pertains to Supernatural Instructions - `'id'`: the Supernatural Instruction id - `'instruction'`: an instruction to follow - `'input'`: an input to the corresponding instruction - `'output'`: the output given the corresponding instruction and the input - `'categories'`: the task type. Only pertains to Supernatural Instructions - `'source'`: the instruction source - `'seed'`: the seed used for the random sampling. One of the following: 2021, 2022, or 2023 <hr> ### 4. Simulation #### (1) Dataset Info Contains (1) role-flipping information or (2) types of error in digression in simulated agent conversations. #### (2) Data Sources (License) - [CAMEL AI-Society](https://huggingface.co/datasets/camel-ai/ai_society) - CC-BY-NC 4.0 - [Solo Performance Prompting Grid-World (SPP)](https://github.com/MikeWangWZHL/Solo-Performance-Prompting) - N/A #### (3) Column Info (1) Regarding 'CAMEL': - `'role_flipping_msg_indices'`: a list of indices of role-flipped messages in the conversation - `'interruption_msg_indices'`: a list of indices of interruption messages in the conversation - `'role_flipping_happens'`: boolean true when role_flipping_msg_indices is not empty (2) Regarding 'SPP': - `'Given Task'`: Given questions with detailed descriptions. The questions are from SPP logic grid puzzle dataset. - `'Task Label'`: Answer to the given question, which is originally provided by SPP dataset - `'Response of GPT-4'`: Simulated conversations by multiple agents, generated by GPT-4. These responses are also from SPP dataset itself (method-“spp_engine-devgpt4-32k_temp-0.0_topp-1.0_start0-end200__with_sys_mes”). - `'Prediction of digression by GPT-4'`: Binary prediction (yes or no) about the existence of digression within (c) the simulated conversation. - `'Reasoning of digression by GPT-4'`: Reasoning about (d) the prediction of digression. - `'Classification of digression'`: For the simulated conversation predicted to have digression by (d), we further classify the types of digression using GPT-4 again. For the data without digression, this field is provided with ‘N/A’. - `'Prediction as human-like by GPT-4'`: Binary prediction (human or ai) about the likeliness of (c) given conversation as human’s conversation. - `'Reasoning as human-like by GPT-4'`: Reasoning about (g) the prediction as human-like. - `'Prediction of digression by Human Annotators'`: Binary prediction (yes or no) about the existence of digression within (c) the simulated conversation, by three different human annotators. - `'Prediction as human-like by Human Annotators'`: Binary prediction (human or ai) about the likeliness of (c) given conversation as human’s conversation, by three different human annotators. #### (4) How to access There are two subsets associated with this data type: - **simulation_roleflip**: role-flipping information from CAMEL AI Society dataset - **simulation_digression**: digression type information from SPP dataset Use the example code below to load the digression subset. Change the subset name like this: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "simulation_digression", split="train") ``` #### (5) Qualitative Analysis Only the subset **simulation_digression** contains human/GPT annotations for each simulated conversation between agents. Therefore, please use the following code to view the qualitative analysis part of the simulation section: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "simulation_digression", split="train", streaming=True) ``` #### (6) Others To get a better prediction and corresponding reasoning for it, please first generate the prediction, and then generate the reasoning as provided in the code. <hr> ### 5. Free-form Text #### (1) Dataset Info Contains Human/Machine texts from source datasets and their classification scores. If a machine text has a paired human text, the human text's id is associated with the machine texts. #### (2) Data Sources - License - [Workers vs GPT ('Workers')](https://github.com/AndersGiovanni/worker_vs_gpt) - MIT - [Human ChatGPT Comparison Corpus ('HC3')](https://huggingface.co/datasets/Hello-SimpleAI/HC3) - BSD License - [Deepfake Text Detection in the Wild ('Deepfake')](https://huggingface.co/datasets/yaful/DeepfakeTextDetect) - Apache License 2.0 #### (3) Column Info **Human data** – 'text', 'label', 'id', 'anger', 'disgust', 'fear', 'joy', 'neutral', 'sadness', 'surprise', 'irony', 'toxicity', 'formality', 'metaphor' <br> **Machine data** – 'text', 'label', 'model', 'strat', 'human_id', 'anger', 'disgust', 'fear', 'joy', 'neutral', 'sadness', 'surprise', 'irony', 'toxicity', 'formality', 'metaphor' - `'strat'` is the prompting strat; this is relevant for only a subset of the data; 'human_id' is the id of the human text that is its pair, if any - `'label'` is the label for text classification - Other attributes are just outputs from classifiers, so not GTs #### (4) How to access There are six subsets associated with this data type: - **freeform_deepfake_{(human, machine)}**: human/machine outputs from Deepfake dataset - **freeform_hc3_{(human, machine)}**: human/machine outputs from HC3 dataset - **freeform_workers_{(human, machine)}**: human/machine outputs from Workers dataset Use the example code below to load the subset of human outputs from deepfake dataset. ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "freeform_deepfake_human", split="train") ``` #### (5) Qualitative Analysis To view examples used in the qualitative analysis, please copy and paste the below code: ```python from datasets import load_dataset dataset = load_dataset("minnesotanlp/LLM-Artifacts", "qual_freeform", split="train") ``` #### (6) Others **For Discourse artifact analyses**, please download the following two pickle files to see the network motifs: - [Network Motiffs (Validation)](https://huggingface.co/datasets/minnesotanlp/LLM-Artifacts/resolve/main/DeepfakeTextDetect.validation.discourse_added.networkx_added.motifs_added.pkl) - [Network Motiffs (Test)](https://huggingface.co/datasets/minnesotanlp/LLM-Artifacts/resolve/main/DeepfakeTextDetect.test.discourse_added.networkx_added.motifs_added.pkl) <hr> ## 📚 Citation If you use our paper or this dataset in your research, please cite it as follows: ```bibtex @misc{das2024surface, title={Under the Surface: Tracking the Artifactuality of LLM-Generated Data}, author={Debarati Das and Karin De Langis and Anna Martin and Jaehyung Kim and Minhwa Lee and Zae Myung Kim and Shirley Hayati and Risako Owan and Bin Hu and Ritik Parkar and Ryan Koo and Jonginn Park and Aahan Tyagi and Libby Ferland and Sanjali Roy and Vincent Liu and Dongyeop Kang}, year={2024}, eprint={2401.14698}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` If you have any questions or feedback, please feel free to reach out at lee03533@umn.edu.

alex-miller/cdp-paf-meta-synthetic

--- dataset_info: features: - name: text dtype: string - name: labels dtype: string splits: - name: train num_bytes: 2228611.265822785 num_examples: 3850 - name: test num_bytes: 390197.5 num_examples: 495 download_size: 1017815 dataset_size: 2618808.765822785 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

hotal/emergency_classification

--- task_categories: - text-classification language: - en pretty_name: emergency_classification --- # Emergency Messages Classification Dataset

Yorth/dalleTestDataFiltered2

--- dataset_info: features: - name: image dtype: image - name: caption dtype: string - name: resolution dtype: string splits: - name: train num_bytes: 1219548166.4310646 num_examples: 4580 download_size: 1215430674 dataset_size: 1219548166.4310646 configs: - config_name: default data_files: - split: train path: data/train-* ---

Multimodal-Fatima/Caltech101_not_background_test_embeddings

--- dataset_info: features: - name: image dtype: image - name: id dtype: int64 - name: vision_embeddings sequence: float32 splits: - name: openai_clip_vit_large_patch14 num_bytes: 95535909.0 num_examples: 5647 download_size: 98967583 dataset_size: 95535909.0 --- # Dataset Card for "Caltech101_not_background_test_embeddings" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_JosephusCheung__Pwen-7B-Chat-20_30

--- pretty_name: Evaluation run of JosephusCheung/Pwen-7B-Chat-20_30 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [JosephusCheung/Pwen-7B-Chat-20_30](https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\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_JosephusCheung__Pwen-7B-Chat-20_30\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T02:42:36.258115](https://huggingface.co/datasets/open-llm-leaderboard/details_JosephusCheung__Pwen-7B-Chat-20_30/blob/main/results_2023-10-26T02-42-36.258115.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 \"em\": 0.2954068791946309,\n\ \ \"em_stderr\": 0.004672175556184236,\n \"f1\": 0.3814209312080561,\n\ \ \"f1_stderr\": 0.004573085663083055,\n \"acc\": 0.44525521893903264,\n\ \ \"acc_stderr\": 0.012103729416391124\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.2954068791946309,\n \"em_stderr\": 0.004672175556184236,\n\ \ \"f1\": 0.3814209312080561,\n \"f1_stderr\": 0.004573085663083055\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.20621683093252463,\n \ \ \"acc_stderr\": 0.011144364089781436\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6842936069455406,\n \"acc_stderr\": 0.01306309474300081\n\ \ }\n}\n```" repo_url: https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30 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: 2023_10_10T07_01_15.573690 path: - '**/details_harness|arc:challenge|25_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-10-10T07-01-15.573690.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T02_42_36.258115 path: - '**/details_harness|drop|3_2023-10-26T02-42-36.258115.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-26T02-42-36.258115.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T02_42_36.258115 path: - '**/details_harness|gsm8k|5_2023-10-26T02-42-36.258115.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-26T02-42-36.258115.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hellaswag|10_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-01-15.573690.parquet' - 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'**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-01-15.573690.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-01-15.573690.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T07_01_15.573690 path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T07-01-15.573690.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T07-01-15.573690.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T02_42_36.258115 path: - '**/details_harness|winogrande|5_2023-10-26T02-42-36.258115.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-26T02-42-36.258115.parquet' - config_name: results data_files: - split: 2023_10_10T07_01_15.573690 path: - results_2023-10-10T07-01-15.573690.parquet - split: 2023_10_26T02_42_36.258115 path: - results_2023-10-26T02-42-36.258115.parquet - split: latest path: - results_2023-10-26T02-42-36.258115.parquet --- # Dataset Card for Evaluation run of JosephusCheung/Pwen-7B-Chat-20_30 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30 - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [JosephusCheung/Pwen-7B-Chat-20_30](https://huggingface.co/JosephusCheung/Pwen-7B-Chat-20_30) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). 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_JosephusCheung__Pwen-7B-Chat-20_30", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T02:42:36.258115](https://huggingface.co/datasets/open-llm-leaderboard/details_JosephusCheung__Pwen-7B-Chat-20_30/blob/main/results_2023-10-26T02-42-36.258115.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": { "em": 0.2954068791946309, "em_stderr": 0.004672175556184236, "f1": 0.3814209312080561, "f1_stderr": 0.004573085663083055, "acc": 0.44525521893903264, "acc_stderr": 0.012103729416391124 }, "harness|drop|3": { "em": 0.2954068791946309, "em_stderr": 0.004672175556184236, "f1": 0.3814209312080561, "f1_stderr": 0.004573085663083055 }, "harness|gsm8k|5": { "acc": 0.20621683093252463, "acc_stderr": 0.011144364089781436 }, "harness|winogrande|5": { "acc": 0.6842936069455406, "acc_stderr": 0.01306309474300081 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

SamukaBrenner20/milesmoralesinsomniac

--- license: openrail ---

cezar-dan-licenta-2023/RoCoLe-Variants

--- dataset_info: - config_name: original features: - name: image dtype: image - name: label dtype: class_label: names: '0': healthy '1': red_spider_mite '2': rust_mild '3': rust_medium '4': rust_severe splits: - name: train num_bytes: 12381788 num_examples: 936 - name: validation num_bytes: 4157145 num_examples: 312 - name: test num_bytes: 4136740 num_examples: 312 download_size: 21824000 dataset_size: 20675673 - config_name: no-background features: - name: image dtype: image - name: label dtype: class_label: names: '0': healthy '1': red_spider_mite '2': rust_mild '3': rust_medium '4': rust_severe splits: - name: train num_bytes: 12381788 num_examples: 936 - name: validation num_bytes: 4157145 num_examples: 312 - name: test num_bytes: 4136740 num_examples: 312 download_size: 21824000 dataset_size: 20675673 ---

heliosprime/twitter_dataset_1713147558

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 4375 num_examples: 12 download_size: 8770 dataset_size: 4375 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "twitter_dataset_1713147558" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2

--- pretty_name: Evaluation run of YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2](https://huggingface.co/YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2)\ \ 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 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\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_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-25T23:45:49.787204](https://huggingface.co/datasets/open-llm-leaderboard/details_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2/blob/main/results_2024-01-25T23-45-49.787204.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\": 0.64746083935561,\n\ \ \"acc_stderr\": 0.03226131925966174,\n \"acc_norm\": 0.6469056397588263,\n\ \ \"acc_norm_stderr\": 0.032934341547214946,\n \"mc1\": 0.5887392900856793,\n\ \ \"mc1_stderr\": 0.017225627083660877,\n \"mc2\": 0.7224895419988183,\n\ \ \"mc2_stderr\": 0.014945205654147512\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.7090443686006825,\n \"acc_stderr\": 0.013273077865907586,\n\ \ \"acc_norm\": 0.7312286689419796,\n \"acc_norm_stderr\": 0.012955065963710693\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7401911969727146,\n\ \ \"acc_stderr\": 0.004376333451909804,\n \"acc_norm\": 0.8922525393347939,\n\ \ \"acc_norm_stderr\": 0.003094275186361527\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.0378272898086547,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.0378272898086547\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.63,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.028152837942493857,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.028152837942493857\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7708333333333334,\n\ \ \"acc_stderr\": 0.03514697467862388,\n \"acc_norm\": 0.7708333333333334,\n\ \ \"acc_norm_stderr\": 0.03514697467862388\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\ : 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6473988439306358,\n\ \ \"acc_stderr\": 0.036430371689585475,\n \"acc_norm\": 0.6473988439306358,\n\ \ \"acc_norm_stderr\": 0.036430371689585475\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.04878608714466996,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.04878608714466996\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5829787234042553,\n \"acc_stderr\": 0.03223276266711712,\n\ \ \"acc_norm\": 0.5829787234042553,\n \"acc_norm_stderr\": 0.03223276266711712\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.046920083813689104,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.046920083813689104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370332,\n\ \ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370332\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.02548718714785938,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.02548718714785938\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.04444444444444449,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.04444444444444449\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7709677419354839,\n\ \ \"acc_stderr\": 0.023904914311782648,\n \"acc_norm\": 0.7709677419354839,\n\ \ \"acc_norm_stderr\": 0.023904914311782648\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\ : 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7727272727272727,\n \"acc_stderr\": 0.029857515673386414,\n \"\ acc_norm\": 0.7727272727272727,\n \"acc_norm_stderr\": 0.029857515673386414\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.02199531196364424,\n\ \ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.02199531196364424\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6717948717948717,\n \"acc_stderr\": 0.023807633198657266,\n\ \ \"acc_norm\": 0.6717948717948717,\n \"acc_norm_stderr\": 0.023807633198657266\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34444444444444444,\n \"acc_stderr\": 0.02897264888484427,\n \ \ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.02897264888484427\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.03038835355188679,\n \ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.03038835355188679\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\ acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8366972477064221,\n \"acc_stderr\": 0.01584825580650155,\n \"\ acc_norm\": 0.8366972477064221,\n \"acc_norm_stderr\": 0.01584825580650155\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5138888888888888,\n \"acc_stderr\": 0.03408655867977749,\n \"\ acc_norm\": 0.5138888888888888,\n \"acc_norm_stderr\": 0.03408655867977749\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8284313725490197,\n \"acc_stderr\": 0.026460569561240644,\n \"\ acc_norm\": 0.8284313725490197,\n \"acc_norm_stderr\": 0.026460569561240644\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601443,\n \ \ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601443\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.0364129708131373,\n\ \ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.0364129708131373\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\ \ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\ \ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.03322015795776741,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.03322015795776741\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.41964285714285715,\n\ \ \"acc_stderr\": 0.046840993210771065,\n \"acc_norm\": 0.41964285714285715,\n\ \ \"acc_norm_stderr\": 0.046840993210771065\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.021901905115073325,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.021901905115073325\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834834,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834834\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7254335260115607,\n \"acc_stderr\": 0.024027745155265026,\n\ \ \"acc_norm\": 0.7254335260115607,\n \"acc_norm_stderr\": 0.024027745155265026\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.43687150837988825,\n\ \ \"acc_stderr\": 0.01658868086453063,\n \"acc_norm\": 0.43687150837988825,\n\ \ \"acc_norm_stderr\": 0.01658868086453063\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6993464052287581,\n \"acc_stderr\": 0.02625605383571896,\n\ \ \"acc_norm\": 0.6993464052287581,\n \"acc_norm_stderr\": 0.02625605383571896\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7170418006430869,\n\ \ \"acc_stderr\": 0.025583062489984813,\n \"acc_norm\": 0.7170418006430869,\n\ \ \"acc_norm_stderr\": 0.025583062489984813\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.02409347123262133,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.02409347123262133\n \ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.029827499313594685,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.029827499313594685\n },\n \"harness|hendrycksTest-professional_law|5\"\ : {\n \"acc\": 0.46284224250325945,\n \"acc_stderr\": 0.012734923579532069,\n\ \ \"acc_norm\": 0.46284224250325945,\n \"acc_norm_stderr\": 0.012734923579532069\n\ \ },\n \"harness|hendrycksTest-professional_medicine|5\": {\n \"acc\"\ : 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n \"\ acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6715686274509803,\n \"acc_stderr\": 0.018999707383162673,\n \ \ \"acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.018999707383162673\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.02866685779027465,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.02866685779027465\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8258706467661692,\n\ \ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\ \ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5887392900856793,\n\ \ \"mc1_stderr\": 0.017225627083660877,\n \"mc2\": 0.7224895419988183,\n\ \ \"mc2_stderr\": 0.014945205654147512\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8468823993685872,\n \"acc_stderr\": 0.010120623252272962\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6550416982562547,\n \ \ \"acc_stderr\": 0.013093630133666238\n }\n}\n```" repo_url: https://huggingface.co/YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2 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_01_25T23_34_45.930119 path: - '**/details_harness|arc:challenge|25_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|arc:challenge|25_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-25T23-45-49.787204.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|gsm8k|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|gsm8k|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hellaswag|10_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hellaswag|10_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-25T23-34-45.930119.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-25T23-45-49.787204.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-management|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-management|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-25T23-45-49.787204.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|truthfulqa:mc|0_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|truthfulqa:mc|0_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-25T23-45-49.787204.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_25T23_34_45.930119 path: - '**/details_harness|winogrande|5_2024-01-25T23-34-45.930119.parquet' - split: 2024_01_25T23_45_49.787204 path: - '**/details_harness|winogrande|5_2024-01-25T23-45-49.787204.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-25T23-45-49.787204.parquet' - config_name: results data_files: - split: 2024_01_25T23_34_45.930119 path: - results_2024-01-25T23-34-45.930119.parquet - split: 2024_01_25T23_45_49.787204 path: - results_2024-01-25T23-45-49.787204.parquet - split: latest path: - results_2024-01-25T23-45-49.787204.parquet --- # Dataset Card for Evaluation run of YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2  Dataset automatically created during the evaluation run of model [YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2](https://huggingface.co/YouKnwMe/Mistral-7b-instruct-v0.2-private-eds2) 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 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. 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_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-25T23:45:49.787204](https://huggingface.co/datasets/open-llm-leaderboard/details_YouKnwMe__Mistral-7b-instruct-v0.2-private-eds2/blob/main/results_2024-01-25T23-45-49.787204.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": 0.64746083935561, "acc_stderr": 0.03226131925966174, "acc_norm": 0.6469056397588263, "acc_norm_stderr": 0.032934341547214946, "mc1": 0.5887392900856793, "mc1_stderr": 0.017225627083660877, "mc2": 0.7224895419988183, "mc2_stderr": 0.014945205654147512 }, "harness|arc:challenge|25": { "acc": 0.7090443686006825, "acc_stderr": 0.013273077865907586, "acc_norm": 0.7312286689419796, "acc_norm_stderr": 0.012955065963710693 }, "harness|hellaswag|10": { "acc": 0.7401911969727146, "acc_stderr": 0.004376333451909804, "acc_norm": 0.8922525393347939, "acc_norm_stderr": 0.003094275186361527 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7018867924528301, "acc_stderr": 0.028152837942493857, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.028152837942493857 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7708333333333334, "acc_stderr": 0.03514697467862388, "acc_norm": 0.7708333333333334, "acc_norm_stderr": 0.03514697467862388 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6473988439306358, "acc_stderr": 0.036430371689585475, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.036430371689585475 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5829787234042553, "acc_stderr": 0.03223276266711712, "acc_norm": 0.5829787234042553, "acc_norm_stderr": 0.03223276266711712 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4649122807017544, "acc_stderr": 0.046920083813689104, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.046920083813689104 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.04122737111370332, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.04122737111370332 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42857142857142855, "acc_stderr": 0.02548718714785938, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.02548718714785938 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4444444444444444, "acc_stderr": 0.04444444444444449, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.04444444444444449 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7709677419354839, "acc_stderr": 0.023904914311782648, "acc_norm": 0.7709677419354839, "acc_norm_stderr": 0.023904914311782648 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7818181818181819, "acc_stderr": 0.03225078108306289, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7727272727272727, "acc_stderr": 0.029857515673386414, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.029857515673386414 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8963730569948186, "acc_stderr": 0.02199531196364424, "acc_norm": 0.8963730569948186, "acc_norm_stderr": 0.02199531196364424 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6717948717948717, "acc_stderr": 0.023807633198657266, "acc_norm": 0.6717948717948717, "acc_norm_stderr": 0.023807633198657266 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34444444444444444, "acc_stderr": 0.02897264888484427, "acc_norm": 0.34444444444444444, "acc_norm_stderr": 0.02897264888484427 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6764705882352942, "acc_stderr": 0.03038835355188679, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.03038835355188679 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.31788079470198677, "acc_stderr": 0.038020397601079024, "acc_norm": 0.31788079470198677, "acc_norm_stderr": 0.038020397601079024 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8366972477064221, "acc_stderr": 0.01584825580650155, "acc_norm": 0.8366972477064221, "acc_norm_stderr": 0.01584825580650155 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5138888888888888, "acc_stderr": 0.03408655867977749, "acc_norm": 0.5138888888888888, "acc_norm_stderr": 0.03408655867977749 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8284313725490197, "acc_stderr": 0.026460569561240644, "acc_norm": 0.8284313725490197, "acc_norm_stderr": 0.026460569561240644 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7974683544303798, "acc_stderr": 0.026160568246601443, "acc_norm": 0.7974683544303798, "acc_norm_stderr": 0.026160568246601443 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7786259541984732, "acc_stderr": 0.0364129708131373, "acc_norm": 0.7786259541984732, "acc_norm_stderr": 0.0364129708131373 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7592592592592593, "acc_stderr": 0.04133119440243838, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.04133119440243838 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7668711656441718, "acc_stderr": 0.03322015795776741, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.03322015795776741 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.41964285714285715, "acc_stderr": 0.046840993210771065, "acc_norm": 0.41964285714285715, "acc_norm_stderr": 0.046840993210771065 }, "harness|hendrycksTest-management|5": { "acc": 0.7669902912621359, "acc_stderr": 0.04185832598928315, "acc_norm": 0.7669902912621359, "acc_norm_stderr": 0.04185832598928315 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8717948717948718, "acc_stderr": 0.021901905115073325, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.021901905115073325 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.68, "acc_stderr": 0.046882617226215034, "acc_norm": 0.68, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834834, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834834 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7254335260115607, "acc_stderr": 0.024027745155265026, "acc_norm": 0.7254335260115607, "acc_norm_stderr": 0.024027745155265026 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.43687150837988825, "acc_stderr": 0.01658868086453063, "acc_norm": 0.43687150837988825, "acc_norm_stderr": 0.01658868086453063 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6993464052287581, "acc_stderr": 0.02625605383571896, "acc_norm": 0.6993464052287581, "acc_norm_stderr": 0.02625605383571896 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7170418006430869, "acc_stderr": 0.025583062489984813, "acc_norm": 0.7170418006430869, "acc_norm_stderr": 0.025583062489984813 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.75, "acc_stderr": 0.02409347123262133, "acc_norm": 0.75, "acc_norm_stderr": 0.02409347123262133 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5, "acc_stderr": 0.029827499313594685, "acc_norm": 0.5, "acc_norm_stderr": 0.029827499313594685 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.46284224250325945, "acc_stderr": 0.012734923579532069, "acc_norm": 0.46284224250325945, "acc_norm_stderr": 0.012734923579532069 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6764705882352942, "acc_stderr": 0.02841820861940676, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.02841820861940676 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6715686274509803, "acc_stderr": 0.018999707383162673, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.018999707383162673 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7224489795918367, "acc_stderr": 0.02866685779027465, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.02866685779027465 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8258706467661692, "acc_stderr": 0.026814951200421603, "acc_norm": 0.8258706467661692, "acc_norm_stderr": 0.026814951200421603 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-virology|5": { "acc": 0.5542168674698795, "acc_stderr": 0.03869543323472101, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.03869543323472101 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness|truthfulqa:mc|0": { "mc1": 0.5887392900856793, "mc1_stderr": 0.017225627083660877, "mc2": 0.7224895419988183, "mc2_stderr": 0.014945205654147512 }, "harness|winogrande|5": { "acc": 0.8468823993685872, "acc_stderr": 0.010120623252272962 }, "harness|gsm8k|5": { "acc": 0.6550416982562547, "acc_stderr": 0.013093630133666238 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

LLM-Editor/animals

--- dataset_info: features: - name: Animal dtype: string - name: Taxonomic Rank dtype: string - name: Definition dtype: string splits: - name: train num_bytes: 52655 num_examples: 300 download_size: 7036 dataset_size: 52655 --- # Dataset Card for "animals" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Toflamus/alpaca_data_split

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: input dtype: string splits: - name: train num_bytes: 17099808.501826853 num_examples: 46801 - name: test num_bytes: 1900303.4981731472 num_examples: 5201 download_size: 12068449 dataset_size: 19000112.0 --- # Dataset Card for "alpaca_data_split" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

betogaunt2/vozbeto

--- license: openrail ---

irds/lotte_recreation_test

--- pretty_name: '`lotte/recreation/test`' viewer: false source_datasets: [] task_categories: - text-retrieval --- # Dataset Card for `lotte/recreation/test` The `lotte/recreation/test` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/lotte#lotte/recreation/test). # Data This dataset provides: - `docs` (documents, i.e., the corpus); count=166,975 This dataset is used by: [`lotte_recreation_test_forum`](https://huggingface.co/datasets/irds/lotte_recreation_test_forum), [`lotte_recreation_test_search`](https://huggingface.co/datasets/irds/lotte_recreation_test_search) ## Usage ```python from datasets import load_dataset docs = load_dataset('irds/lotte_recreation_test', 'docs') for record in docs: record # {'doc_id': ..., 'text': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format. ## Citation Information ``` @article{Santhanam2021ColBERTv2, title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction", author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", journal= "arXiv preprint arXiv:2112.01488", year = "2021", url = "https://arxiv.org/abs/2112.01488" } ```

Tobius/teric_asr_lab

--- license: cc0-1.0 ---

yijingwu/HeySQuAD_human

--- license: cc-by-4.0 dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string - name: question dtype: string - name: context dtype: string - name: answers list: - name: answer_start dtype: int64 - name: text dtype: string - name: is_impossible dtype: bool - name: id dtype: string - name: plausible_answers list: - name: answer_start dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 15547759456.9 num_examples: 71990 - name: validation num_bytes: 867205293.036 num_examples: 4158 download_size: 14616752976 dataset_size: 16414964749.935999 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* --- citation: @misc{wu2023heysquad, title={HeySQuAD: A Spoken Question Answering Dataset}, author={Yijing Wu and SaiKrishna Rallabandi and Ravisutha Srinivasamurthy and Parag Pravin Dakle and Alolika Gon and Preethi Raghavan}, year={2023}, eprint={2304.13689}, archivePrefix={arXiv}, primaryClass={cs.CL} }

biswa921/hiwiki-latest-pages-articles-raw

--- license: apache-2.0 dataset_info: features: - name: title dtype: string - name: url dtype: string - name: text dtype: string splits: - name: train num_bytes: 742313430 num_examples: 231836 download_size: 268567208 dataset_size: 742313430 configs: - config_name: default data_files: - split: train path: data/train-* ---

jys09/ntu-adl-hw1

--- license: mit task_categories: - question-answering ---

mozci/logobookDB

--- language: - en license: afl-3.0 size_categories: - 1K<n<10K task_categories: - text-to-image pretty_name: Logobook Archive with Captions tags: - brand - logo - design - graphic design dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 162614866.176 num_examples: 4026 download_size: 139569721 dataset_size: 162614866.176 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card This dataset contains image caption pairs for logo designs screped from logobook.com. It is created for my research project to finetune text-image diffusion models with logo designs. Logobook.com has a very nice logo archive consisting of modernist and simplistic logo designs. Each design stored along with some keywords. I used these keywords to create a caption for the logo designs. See example below: ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6475548022b4dec4524bd3f3/8NHOZFmmjk9Hrb0sLeXTl.jpeg) Caption: Adams Law, a prominent law firm in Ireland, features a sleek and professional logo design by Jeremy Simmons of Process. The logo showcases a symbolic letter 'A' enclosed within a circular frame, representing unity and integrity. The inclusion of the word 'Ireland' emphasizes the firm's local expertise and dedication to serving the Irish community. A subtle quotation mark adds a touch of elegance and sophistication, reflecting Adams Law's commitment to delivering impactful legal solutions. This timeless logo design, created in 2017, effectively captures the firm's professionalism and legal expertise. ## Copyright disclaimer Created and used for research purposes.

open-llm-leaderboard/details_marcchew__LaMini-40k-Platypus2-7B

--- pretty_name: Evaluation run of marcchew/LaMini-40k-Platypus2-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [marcchew/LaMini-40k-Platypus2-7B](https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 3 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_marcchew__LaMini-40k-Platypus2-7B\"\ ,\n\t\"harness_gsm8k_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\nThese\ \ are the [latest results from run 2023-12-03T19:17:16.064054](https://huggingface.co/datasets/open-llm-leaderboard/details_marcchew__LaMini-40k-Platypus2-7B/blob/main/results_2023-12-03T19-17-16.064054.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\": 0.0,\n \"\ acc_stderr\": 0.0\n },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \ \ \"acc_stderr\": 0.0\n }\n}\n```" repo_url: https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B 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: 2023_09_18T12_51_11.107895 path: - '**/details_harness|arc:challenge|25_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-18T12-51-11.107895.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_28T08_58_28.638753 path: - '**/details_harness|drop|3_2023-10-28T08-58-28.638753.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-28T08-58-28.638753.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_28T08_58_28.638753 path: - '**/details_harness|gsm8k|5_2023-10-28T08-58-28.638753.parquet' - split: 2023_12_03T19_17_16.064054 path: - '**/details_harness|gsm8k|5_2023-12-03T19-17-16.064054.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-03T19-17-16.064054.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hellaswag|10_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-18T12-51-11.107895.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-management|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-18T12-51-11.107895.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_18T12_51_11.107895 path: - '**/details_harness|truthfulqa:mc|0_2023-09-18T12-51-11.107895.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-18T12-51-11.107895.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_28T08_58_28.638753 path: - '**/details_harness|winogrande|5_2023-10-28T08-58-28.638753.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-28T08-58-28.638753.parquet' - config_name: results data_files: - split: 2023_09_18T12_51_11.107895 path: - results_2023-09-18T12-51-11.107895.parquet - split: 2023_10_28T08_58_28.638753 path: - results_2023-10-28T08-58-28.638753.parquet - split: 2023_12_03T19_17_16.064054 path: - results_2023-12-03T19-17-16.064054.parquet - split: latest path: - results_2023-12-03T19-17-16.064054.parquet --- # Dataset Card for Evaluation run of marcchew/LaMini-40k-Platypus2-7B ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [marcchew/LaMini-40k-Platypus2-7B](https://huggingface.co/marcchew/LaMini-40k-Platypus2-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 3 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_marcchew__LaMini-40k-Platypus2-7B", "harness_gsm8k_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-03T19:17:16.064054](https://huggingface.co/datasets/open-llm-leaderboard/details_marcchew__LaMini-40k-Platypus2-7B/blob/main/results_2023-12-03T19-17-16.064054.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": 0.0, "acc_stderr": 0.0 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

one-sec-cv12/chunk_3

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 18734066352.875 num_examples: 195049 download_size: 15931724724 dataset_size: 18734066352.875 --- # Dataset Card for "chunk_3" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

rasgaard/mmi-bendr-preprocessed

--- dataset_info: features: - name: data sequence: sequence: float32 - name: label dtype: int64 splits: - name: train num_bytes: 531730928 num_examples: 4324 - name: val num_bytes: 5164824 num_examples: 42 - name: test num_bytes: 5164824 num_examples: 42 download_size: 207795149 dataset_size: 542060576 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* license: odc-by --- The [EEG Motor Movement/Imagery (MMI) Dataset](https://physionet.org/content/eegmmidb/1.0.0/) preprocessed with [DN3](https://github.com/SPOClab-ca/dn3/) to be used for downstream fine-tuning with [BENDR](https://github.com/SPOClab-ca/BENDR). The labels correspond to Task 4 (imagine opening and closing both fists or both feet) from experimental runs 4, 10 and 14. ## Creating dataloaders ```python from datasets import load_dataset from torch.utils.data import DataLoader dataset = load_dataset("rasgaard/mmi-bendr-preprocessed") dataset.set_format("torch") train_loader = DataLoader(dataset["train"], batch_size=8) val_loader = DataLoader(dataset["val"], batch_size=8) test_loader = DataLoader(dataset["test"], batch_size=8) batch = next(iter(train_loader)) batch["data"].shape, batch["label"].shape >>> (torch.Size([8, 20, 1536]), torch.Size([8])) ```

ksuyash/food-dataset

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': burger '1': butter_naan '2': chai '3': chapati '4': chole_bhature '5': dal_makhani '6': dhokla '7': fried_rice '8': idli '9': jalebi '10': kaathi_rolls '11': kadai_paneer '12': kulfi '13': masala_dosa '14': momos '15': paani_puri '16': pakode '17': pav_bhaji '18': pizza '19': samosa splits: - name: train num_bytes: 1716156838.154 num_examples: 6269 download_size: 1579640750 dataset_size: 1716156838.154 configs: - config_name: default data_files: - split: train path: data/train-* ---

udmurtNLP/zerpal-udmdunne

--- language: - udm size_categories: - 10K<n<100K task_categories: - text-classification dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 47031643 num_examples: 10258 - name: valid num_bytes: 5299403 num_examples: 1140 download_size: 25632119 dataset_size: 52331046 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* ---

zhiqings/LLaVA-Human-Preference-10K

--- license: apache-2.0 ---

Dauren-Nur/ISSAI_SKIMMED

--- dataset_info: features: - name: uttID dtype: string - name: deviceID dtype: int64 - name: text dtype: string - name: audio dtype: audio splits: - name: train num_bytes: 1921144536.0 num_examples: 15000 - name: test num_bytes: 407749055.0 num_examples: 3334 - name: dev num_bytes: 384006753.0 num_examples: 3283 download_size: 2712080390 dataset_size: 2712900344.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: dev path: data/dev-* ---

ihaflix1/herbert

--- license: openrail ---

reaganjlee/boolq_es

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: question dtype: string - name: passage dtype: string - name: answer dtype: class_label: names: '0': 'False' '1': 'True' splits: - name: train num_bytes: 4397871 num_examples: 9427 - name: validation num_bytes: 1520093 num_examples: 3270 download_size: 3613558 dataset_size: 5917964 --- # Dataset Card for "boolq_es" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

docdewarper/dewarpnet_weights

--- license: mit --- Weights for the pre-trained DewarpNet model developed by Das et al. (2019). The code for the model can be found on https://github.com/cvlab-stonybrook/DewarpNet.

scribis/italian-literature-corpus-mini

--- dataset_info: features: - name: review dtype: string - name: review_length dtype: int64 splits: - name: train num_bytes: 125104611.3227607 num_examples: 872594 - name: validation num_bytes: 13900528.299298717 num_examples: 96955 download_size: 143032707 dataset_size: 139005139.6220594 language: - it --- # Dataset Card for "italian-literature-corpus-mini" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

TheFinAI/en-forecasting-bigdata

--- dataset_info: features: - name: id dtype: string - name: query dtype: string - name: answer dtype: string - name: text dtype: string - name: choices sequence: string - name: gold dtype: int64 splits: - name: train num_bytes: 18720287 num_examples: 4897 - name: valid num_bytes: 1278834 num_examples: 798 - name: test num_bytes: 2379111 num_examples: 1472 download_size: 11003337 dataset_size: 22378232 --- # Dataset Card for "flare-sm-bigdata" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

KnutJaegersberg/wikipedia_categories

--- license: mit ---

McSpicyWithMilo/target-elements-0.2split-new-delete-180-validation

--- dataset_info: features: - name: instruction dtype: string - name: target_element dtype: string splits: - name: train num_bytes: 12696.8 num_examples: 144 - name: test num_bytes: 1587.1 num_examples: 18 - name: valid num_bytes: 1587.1 num_examples: 18 download_size: 13176 dataset_size: 15871.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* --- # Dataset Card for "target-elements-0.2split-new-delete-180-validation" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

TaylorAI/RLCD-generated-preference-data-split

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: instruction dtype: string - name: input dtype: float64 - name: output_1 dtype: string - name: output_2 dtype: string - name: preference dtype: int64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 142629947 num_examples: 160000 - name: validation num_bytes: 7163731 num_examples: 7999 download_size: 88067760 dataset_size: 149793678 --- # Dataset Card for "RLCD-generated-preference-data-split" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

KShivendu/dbpedia-entities-openai-1M

--- license: mit dataset_info: features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string - name: openai sequence: float32 splits: - name: train num_bytes: 12383152 num_examples: 1000000 download_size: 12383152 dataset_size: 1000000 language: - en task_categories: - feature-extraction pretty_name: OpenAI 1M with DBPedia Entities size_categories: - 1M<n<10M --- 1M OpenAI Embeddings -- 1536 dimensions Created: June 2023. Text used for Embedding: title (string) + text (string) Embedding Model: text-embedding-ada-002 First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/ ### Future work We are planning to take this up to 10M (and possibly 100M) vectors. Contact [@KShivendu_](https://twitter.com/KShivendu_) on Twitter or mail to hello@nirantk.com if you want to help :) ### Credits: This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity

sophie-shetty08/alzheimer-master-dataset

--- license: apache-2.0 ---

liuyanchen1015/MULTI_VALUE_qqp_null_referential_pronouns

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 529226 num_examples: 2610 - name: test num_bytes: 5308180 num_examples: 26108 - name: train num_bytes: 5043940 num_examples: 24291 download_size: 6908933 dataset_size: 10881346 --- # Dataset Card for "MULTI_VALUE_qqp_null_referential_pronouns" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Biomedical-TeMU/ProfNER_corpus_classification

--- license: cc-by-4.0 ---

CyberHarem/manannan_mac_lir_bazett_fgo

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of manannan_mac_lir_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order) This is the dataset of manannan_mac_lir_bazett/マナナン・マク・リール〔バゼット〕/马纳南·麦克·利尔〔巴泽特〕 (Fate/Grand Order), containing 78 images and their tags. The core tags of this character are `mole, mole_under_eye, breasts, parted_bangs, purple_hair, red_hair, red_eyes, long_hair, purple_eyes, large_breasts, short_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 78 | 104.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 78 | 91.58 MiB | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 176 | 175.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/manannan_mac_lir_bazett_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/manannan_mac_lir_bazett_fgo', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 6 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, black_gloves, black_necktie, black_pants, collared_shirt, dress_shirt, formal, grey_coat, long_sleeves, adjusting_gloves, open_coat, solo, black_suit, looking_at_viewer, simple_background, white_background, jacket | | 1 | 24 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, black_bodysuit, looking_at_viewer, low_ponytail, blush, solo, long_sleeves, necktie, jewelry, black_gloves, blue_bodysuit | | 2 | 12 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, bare_shoulders, smile, white_dress, elbow_gloves, solo, white_gloves, cleavage, looking_at_viewer, blush | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_gloves | black_necktie | black_pants | collared_shirt | dress_shirt | formal | grey_coat | long_sleeves | adjusting_gloves | open_coat | solo | black_suit | looking_at_viewer | simple_background | white_background | jacket | black_bodysuit | low_ponytail | blush | necktie | jewelry | blue_bodysuit | bare_shoulders | smile | white_dress | elbow_gloves | white_gloves | cleavage | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:----------------|:--------------|:-----------------|:--------------|:---------|:------------|:---------------|:-------------------|:------------|:-------|:-------------|:--------------------|:--------------------|:-------------------|:---------|:-----------------|:---------------|:--------|:----------|:----------|:----------------|:-----------------|:--------|:--------------|:---------------|:---------------|:-----------| | 0 | 6 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | 1 | 24 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | | | | | | | X | | | X | | X | | | | X | X | X | X | X | X | | | | | | | | 2 | 12 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | | | | | | | | | | | X | | X | | | | | | X | | | | X | X | X | X | X | X |

tharun-6743/tharun

--- license: openrail ---

Devartbio/landing

--- license: mit ---

georgereyna/omni

--- license: cc ---

MicPie/unpredictable_cappex-com

--- annotations_creators: - no-annotation language_creators: - found language: - en license: - apache-2.0 multilinguality: - monolingual pretty_name: UnpredicTable-cappex.com size_categories: - 100K<n<1M source_datasets: [] task_categories: - multiple-choice - question-answering - zero-shot-classification - text2text-generation - table-question-answering - text-generation - text-classification - tabular-classification task_ids: - multiple-choice-qa - extractive-qa - open-domain-qa - closed-domain-qa - closed-book-qa - open-book-qa - language-modeling - multi-class-classification - natural-language-inference - topic-classification - multi-label-classification - tabular-multi-class-classification - tabular-multi-label-classification --- # Dataset Card for "UnpredicTable-cappex.com" - Dataset of Few-shot Tasks from Tables ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - **Homepage:** https://ethanperez.net/unpredictable - **Repository:** https://github.com/JunShern/few-shot-adaptation - **Paper:** Few-shot Adaptation Works with UnpredicTable Data - **Point of Contact:** junshern@nyu.edu, perez@nyu.edu ### Dataset Summary The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance. There are several dataset versions available: * [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full): Starting from the initial WTC corpus of 50M tables, we apply our tables-to-tasks procedure to produce our resulting dataset, [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full), which comprises 413,299 tasks from 23,744 unique websites. * [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique): This is the same as [UnpredicTable-full](https://huggingface.co/datasets/MicPie/unpredictable_full) but filtered to have a maximum of one task per website. [UnpredicTable-unique](https://huggingface.co/datasets/MicPie/unpredictable_unique) contains exactly 23,744 tasks from 23,744 websites. * [UnpredicTable-5k](https://huggingface.co/datasets/MicPie/unpredictable_5k): This dataset contains 5k random tables from the full dataset. * UnpredicTable data subsets based on a manual human quality rating (please see our publication for details of the ratings): * [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low) * [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium) * [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high) * UnpredicTable data subsets based on the website of origin: * [UnpredicTable-baseball-fantasysports-yahoo-com](https://huggingface.co/datasets/MicPie/unpredictable_baseball-fantasysports-yahoo-com) * [UnpredicTable-bulbapedia-bulbagarden-net](https://huggingface.co/datasets/MicPie/unpredictable_bulbapedia-bulbagarden-net) * [UnpredicTable-cappex-com](https://huggingface.co/datasets/MicPie/unpredictable_cappex-com) * [UnpredicTable-cram-com](https://huggingface.co/datasets/MicPie/unpredictable_cram-com) * [UnpredicTable-dividend-com](https://huggingface.co/datasets/MicPie/unpredictable_dividend-com) * [UnpredicTable-dummies-com](https://huggingface.co/datasets/MicPie/unpredictable_dummies-com) * [UnpredicTable-en-wikipedia-org](https://huggingface.co/datasets/MicPie/unpredictable_en-wikipedia-org) * [UnpredicTable-ensembl-org](https://huggingface.co/datasets/MicPie/unpredictable_ensembl-org) * [UnpredicTable-gamefaqs-com](https://huggingface.co/datasets/MicPie/unpredictable_gamefaqs-com) * [UnpredicTable-mgoblog-com](https://huggingface.co/datasets/MicPie/unpredictable_mgoblog-com) * [UnpredicTable-mmo-champion-com](https://huggingface.co/datasets/MicPie/unpredictable_mmo-champion-com) * [UnpredicTable-msdn-microsoft-com](https://huggingface.co/datasets/MicPie/unpredictable_msdn-microsoft-com) * [UnpredicTable-phonearena-com](https://huggingface.co/datasets/MicPie/unpredictable_phonearena-com) * [UnpredicTable-sittercity-com](https://huggingface.co/datasets/MicPie/unpredictable_sittercity-com) * [UnpredicTable-sporcle-com](https://huggingface.co/datasets/MicPie/unpredictable_sporcle-com) * [UnpredicTable-studystack-com](https://huggingface.co/datasets/MicPie/unpredictable_studystack-com) * [UnpredicTable-support-google-com](https://huggingface.co/datasets/MicPie/unpredictable_support-google-com) * [UnpredicTable-w3-org](https://huggingface.co/datasets/MicPie/unpredictable_w3-org) * [UnpredicTable-wiki-openmoko-org](https://huggingface.co/datasets/MicPie/unpredictable_wiki-openmoko-org) * [UnpredicTable-wkdu-org](https://huggingface.co/datasets/MicPie/unpredictable_wkdu-org) * UnpredicTable data subsets based on clustering (for the clustering details please see our publication): * [UnpredicTable-cluster00](https://huggingface.co/datasets/MicPie/unpredictable_cluster00) * [UnpredicTable-cluster01](https://huggingface.co/datasets/MicPie/unpredictable_cluster01) * [UnpredicTable-cluster02](https://huggingface.co/datasets/MicPie/unpredictable_cluster02) * [UnpredicTable-cluster03](https://huggingface.co/datasets/MicPie/unpredictable_cluster03) * [UnpredicTable-cluster04](https://huggingface.co/datasets/MicPie/unpredictable_cluster04) * [UnpredicTable-cluster05](https://huggingface.co/datasets/MicPie/unpredictable_cluster05) * [UnpredicTable-cluster06](https://huggingface.co/datasets/MicPie/unpredictable_cluster06) * [UnpredicTable-cluster07](https://huggingface.co/datasets/MicPie/unpredictable_cluster07) * [UnpredicTable-cluster08](https://huggingface.co/datasets/MicPie/unpredictable_cluster08) * [UnpredicTable-cluster09](https://huggingface.co/datasets/MicPie/unpredictable_cluster09) * [UnpredicTable-cluster10](https://huggingface.co/datasets/MicPie/unpredictable_cluster10) * [UnpredicTable-cluster11](https://huggingface.co/datasets/MicPie/unpredictable_cluster11) * [UnpredicTable-cluster12](https://huggingface.co/datasets/MicPie/unpredictable_cluster12) * [UnpredicTable-cluster13](https://huggingface.co/datasets/MicPie/unpredictable_cluster13) * [UnpredicTable-cluster14](https://huggingface.co/datasets/MicPie/unpredictable_cluster14) * [UnpredicTable-cluster15](https://huggingface.co/datasets/MicPie/unpredictable_cluster15) * [UnpredicTable-cluster16](https://huggingface.co/datasets/MicPie/unpredictable_cluster16) * [UnpredicTable-cluster17](https://huggingface.co/datasets/MicPie/unpredictable_cluster17) * [UnpredicTable-cluster18](https://huggingface.co/datasets/MicPie/unpredictable_cluster18) * [UnpredicTable-cluster19](https://huggingface.co/datasets/MicPie/unpredictable_cluster19) * [UnpredicTable-cluster20](https://huggingface.co/datasets/MicPie/unpredictable_cluster20) * [UnpredicTable-cluster21](https://huggingface.co/datasets/MicPie/unpredictable_cluster21) * [UnpredicTable-cluster22](https://huggingface.co/datasets/MicPie/unpredictable_cluster22) * [UnpredicTable-cluster23](https://huggingface.co/datasets/MicPie/unpredictable_cluster23) * [UnpredicTable-cluster24](https://huggingface.co/datasets/MicPie/unpredictable_cluster24) * [UnpredicTable-cluster25](https://huggingface.co/datasets/MicPie/unpredictable_cluster25) * [UnpredicTable-cluster26](https://huggingface.co/datasets/MicPie/unpredictable_cluster26) * [UnpredicTable-cluster27](https://huggingface.co/datasets/MicPie/unpredictable_cluster27) * [UnpredicTable-cluster28](https://huggingface.co/datasets/MicPie/unpredictable_cluster28) * [UnpredicTable-cluster29](https://huggingface.co/datasets/MicPie/unpredictable_cluster29) * [UnpredicTable-cluster-noise](https://huggingface.co/datasets/MicPie/unpredictable_cluster-noise) ### Supported Tasks and Leaderboards Since the tables come from the web, the distribution of tasks and topics is very broad. The shape of our dataset is very wide, i.e., we have 1000's of tasks, while each task has only a few examples, compared to most current NLP datasets which are very deep, i.e., 10s of tasks with many examples. This implies that our dataset covers a broad range of potential tasks, e.g., multiple-choice, question-answering, table-question-answering, text-classification, etc. The intended use of this dataset is to improve few-shot performance by fine-tuning/pre-training on our dataset. ### Languages English ## Dataset Structure ### Data Instances Each task is represented as a jsonline file and consists of several few-shot examples. Each example is a dictionary containing a field 'task', which identifies the task, followed by an 'input', 'options', and 'output' field. The 'input' field contains several column elements of the same row in the table, while the 'output' field is a target which represents an individual column of the same row. Each task contains several such examples which can be concatenated as a few-shot task. In the case of multiple choice classification, the 'options' field contains the possible classes that a model needs to choose from. There are also additional meta-data fields such as 'pageTitle', 'title', 'outputColName', 'url', 'wdcFile'. ### Data Fields 'task': task identifier 'input': column elements of a specific row in the table. 'options': for multiple choice classification, it provides the options to choose from. 'output': target column element of the same row as input. 'pageTitle': the title of the page containing the table. 'outputColName': output column name 'url': url to the website containing the table 'wdcFile': WDC Web Table Corpus file ### Data Splits The UnpredicTable datasets do not come with additional data splits. ## Dataset Creation ### Curation Rationale Few-shot training on multi-task datasets has been demonstrated to improve language models' few-shot learning (FSL) performance on new tasks, but it is unclear which training tasks lead to effective downstream task adaptation. Few-shot learning datasets are typically produced with expensive human curation, limiting the scale and diversity of the training tasks available to study. As an alternative source of few-shot data, we automatically extract 413,299 tasks from diverse internet tables. We provide this as a research resource to investigate the relationship between training data and few-shot learning. ### Source Data #### Initial Data Collection and Normalization We use internet tables from the English-language Relational Subset of the WDC Web Table Corpus 2015 (WTC). The WTC dataset tables were extracted from the July 2015 Common Crawl web corpus (http://webdatacommons.org/webtables/2015/EnglishStatistics.html). The dataset contains 50,820,165 tables from 323,160 web domains. We then convert the tables into few-shot learning tasks. Please see our publication for more details on the data collection and conversion pipeline. #### Who are the source language producers? The dataset is extracted from [WDC Web Table Corpora](http://webdatacommons.org/webtables/). ### Annotations #### Annotation process Manual annotation was only carried out for the [UnpredicTable-rated-low](https://huggingface.co/datasets/MicPie/unpredictable_rated-low), [UnpredicTable-rated-medium](https://huggingface.co/datasets/MicPie/unpredictable_rated-medium), and [UnpredicTable-rated-high](https://huggingface.co/datasets/MicPie/unpredictable_rated-high) data subsets to rate task quality. Detailed instructions of the annotation instructions can be found in our publication. #### Who are the annotators? Annotations were carried out by a lab assistant. ### Personal and Sensitive Information The data was extracted from [WDC Web Table Corpora](http://webdatacommons.org/webtables/), which in turn extracted tables from the [Common Crawl](https://commoncrawl.org/). We did not filter the data in any way. Thus any user identities or otherwise sensitive information (e.g., data that reveals racial or ethnic origins, sexual orientations, religious beliefs, political opinions or union memberships, or locations; financial or health data; biometric or genetic data; forms of government identification, such as social security numbers; criminal history, etc.) might be contained in our dataset. ## Considerations for Using the Data ### Social Impact of Dataset This dataset is intended for use as a research resource to investigate the relationship between training data and few-shot learning. As such, it contains high- and low-quality data, as well as diverse content that may be untruthful or inappropriate. Without careful investigation, it should not be used for training models that will be deployed for use in decision-critical or user-facing situations. ### Discussion of Biases Since our dataset contains tables that are scraped from the web, it will also contain many toxic, racist, sexist, and otherwise harmful biases and texts. We have not run any analysis on the biases prevalent in our datasets. Neither have we explicitly filtered the content. This implies that a model trained on our dataset may potentially reflect harmful biases and toxic text that exist in our dataset. ### Other Known Limitations No additional known limitations. ## Additional Information ### Dataset Curators Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez ### Licensing Information Apache 2.0 ### Citation Information ``` @misc{chan2022few, author = {Chan, Jun Shern and Pieler, Michael and Jao, Jonathan and Scheurer, Jérémy and Perez, Ethan}, title = {Few-shot Adaptation Works with UnpredicTable Data}, publisher={arXiv}, year = {2022}, url = {https://arxiv.org/abs/2208.01009} } ```

open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Base-LLaMAfied

--- pretty_name: Evaluation run of hiyouga/Baichuan2-7B-Base-LLaMAfied dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [hiyouga/Baichuan2-7B-Base-LLaMAfied](https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\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_hiyouga__Baichuan2-7B-Base-LLaMAfied\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-26T06:44:24.493952](https://huggingface.co/datasets/open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Base-LLaMAfied/blob/main/results_2023-10-26T06-44-24.493952.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 \"em\": 0.001572986577181208,\n\ \ \"em_stderr\": 0.0004058451132417743,\n \"f1\": 0.0585476090604028,\n\ \ \"f1_stderr\": 0.0013740361163735455,\n \"acc\": 0.3926358910777041,\n\ \ \"acc_stderr\": 0.010089987799825416\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.001572986577181208,\n \"em_stderr\": 0.0004058451132417743,\n\ \ \"f1\": 0.0585476090604028,\n \"f1_stderr\": 0.0013740361163735455\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.07808946171341925,\n \ \ \"acc_stderr\": 0.007390654481108214\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7071823204419889,\n \"acc_stderr\": 0.01278932111854262\n\ \ }\n}\n```" repo_url: https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied 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: 2023_10_10T07_25_43.126145 path: - '**/details_harness|arc:challenge|25_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-10-10T07-25-43.126145.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_26T06_44_24.493952 path: - '**/details_harness|drop|3_2023-10-26T06-44-24.493952.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-26T06-44-24.493952.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_26T06_44_24.493952 path: - '**/details_harness|gsm8k|5_2023-10-26T06-44-24.493952.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-26T06-44-24.493952.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hellaswag|10_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-25-43.126145.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T07-25-43.126145.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T07_25_43.126145 path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T07-25-43.126145.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T07-25-43.126145.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_26T06_44_24.493952 path: - '**/details_harness|winogrande|5_2023-10-26T06-44-24.493952.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-26T06-44-24.493952.parquet' - config_name: results data_files: - split: 2023_10_10T07_25_43.126145 path: - results_2023-10-10T07-25-43.126145.parquet - split: 2023_10_26T06_44_24.493952 path: - results_2023-10-26T06-44-24.493952.parquet - split: latest path: - results_2023-10-26T06-44-24.493952.parquet --- # Dataset Card for Evaluation run of hiyouga/Baichuan2-7B-Base-LLaMAfied ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [hiyouga/Baichuan2-7B-Base-LLaMAfied](https://huggingface.co/hiyouga/Baichuan2-7B-Base-LLaMAfied) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). 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_hiyouga__Baichuan2-7B-Base-LLaMAfied", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-26T06:44:24.493952](https://huggingface.co/datasets/open-llm-leaderboard/details_hiyouga__Baichuan2-7B-Base-LLaMAfied/blob/main/results_2023-10-26T06-44-24.493952.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": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.0585476090604028, "f1_stderr": 0.0013740361163735455, "acc": 0.3926358910777041, "acc_stderr": 0.010089987799825416 }, "harness|drop|3": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.0585476090604028, "f1_stderr": 0.0013740361163735455 }, "harness|gsm8k|5": { "acc": 0.07808946171341925, "acc_stderr": 0.007390654481108214 }, "harness|winogrande|5": { "acc": 0.7071823204419889, "acc_stderr": 0.01278932111854262 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

eswanYS/customhkcode2

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5826 num_examples: 39 download_size: 2572 dataset_size: 5826 configs: - config_name: default data_files: - split: train path: data/train-* ---

minhnguyen/IEDB_B_cell

--- license: apache-2.0 ---

apollo-research/sae-skeskinen-TinyStories-hf-tokenizer-gpt2_play

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1911420483 num_examples: 2119719 - name: validation num_bytes: 19306310 num_examples: 21990 download_size: 1001364597 dataset_size: 1930726793 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

CATIE-AQ/orange_sum_fr_prompt_fill_mask

--- language: - fr license: cc-by-sa-4.0 size_categories: - 100K<n<1M task_categories: - fill-mask tags: - DFP - french prompts annotations_creators: - found language_creators: - found multilinguality: - monolingual source_datasets: - orange_sum --- # orange_sum_fr_prompt_fill_mask ## Summary **orange_sum_fr_prompt_fill_mask** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP). It contains **585,624** rows that can be used for a fill mask task. The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al. A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al. ## Prompts used ### List 24 prompts were created for this dataset. The logic applied consists in proposing prompts in the indicative tense, in the form of tutoiement and in the form of vouvoiement. ``` 'Remplacer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Remplace le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Remplacez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Remplacer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Remplace le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Remplacez le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Substituer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Substitue le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Substituez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Substituer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Substitue le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Substituez le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Changer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Change le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Changez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Changer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Change le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Changez le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Transformer le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Transforme le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Transformez le <mask> dans le texte suivant par le mot le plus vraisemblable : '+text, 'Transformer le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Transforme le <mask> dans le texte suivant par le mot le plus probable : '+text, 'Transformez le <mask> dans le texte suivant par le mot le plus probable : '+text, ``` # Splits - `train` with 513,624 samples - `valid` with 36,000 samples - `test` with 36,000 samples # How to use? ``` from datasets import load_dataset dataset = load_dataset("CATIE-AQ/orange_sum_fr_prompt_fill_mask") ``` # Citation ## Original data > @article{eddine2020barthez, title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model}, author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis}, journal={arXiv preprint arXiv:2010.12321}, year={2020} } ## This Dataset > @misc {centre_aquitain_des_technologies_de_l'information_et_electroniques_2023, author = { {Centre Aquitain des Technologies de l'Information et Electroniques} }, title = { DFP (Revision 1d24c09) }, year = 2023, url = { https://huggingface.co/datasets/CATIE-AQ/DFP }, doi = { 10.57967/hf/1200 }, publisher = { Hugging Face } } ## License CC-BY-SA-4.0

benticha/coachllm-lama2

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 238155 num_examples: 996 download_size: 75613 dataset_size: 238155 configs: - config_name: default data_files: - split: train path: data/train-* ---

Intuit-GenSRF/tweets-hate-speech-detection

--- dataset_info: features: - name: text dtype: string - name: labels sequence: string splits: - name: train num_bytes: 3081848 num_examples: 31962 download_size: 2067751 dataset_size: 3081848 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "tweets_hate_speech_detection" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

james-burton/airbnb_summaries

--- dataset_info: features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: float32 - name: scaled_label dtype: float64 splits: - name: train num_bytes: 12251861 num_examples: 14718 - name: validation num_bytes: 2605549 num_examples: 3155 - name: test num_bytes: 2602259 num_examples: 3155 download_size: 10147370 dataset_size: 17459669 --- # Dataset Card for "airbnb_summaries" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

123tozi123/toki-pona-tts

--- license: cc-by-sa-4.0 task_categories: - text-to-speech size_categories: - n<1K ---

mabenan/abap

--- license: mit ---

Fucheng/astro_lens

--- license: openrail ---

heliosprime/twitter_dataset_1712972981

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 10130 num_examples: 23 download_size: 9180 dataset_size: 10130 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "twitter_dataset_1712972981" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Back-up/chung-khoan-demo-p4

--- dataset_info: features: - name: url dtype: string - name: title dtype: string - name: date dtype: string - name: view struct: - name: number_of_response dtype: string - name: number_of_view dtype: string - name: content list: - name: res dtype: string splits: - name: train num_bytes: 47642171 num_examples: 8923 download_size: 17034905 dataset_size: 47642171 configs: - config_name: default data_files: - split: train path: data/train-* ---

tdh87/StoryDATA6.0

--- license: apache-2.0 ---

ryL/Taiwan-mandarin

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string splits: - name: train num_bytes: 332633731.0 num_examples: 846 - name: test num_bytes: 82886161.0 num_examples: 228 - name: validation num_bytes: 98951893.0 num_examples: 230 download_size: 513794624 dataset_size: 514471785.0 --- # Dataset Card for "Taiwan-mandarin" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

xwjiang2010/pile_dedupe_val_tokenized_chunked

--- dataset_info: features: - name: input_ids sequence: int32 splits: - name: train num_bytes: 6937220668 num_examples: 423311 download_size: 3163118066 dataset_size: 6937220668 configs: - config_name: default data_files: - split: train path: data/train-* ---

abhiram973/MedicalQA

--- license: mit ---

uclgroup8/early-exit-iemocap-embeddings-v3

--- dataset_info: features: - name: emotion dtype: string - name: to_translate dtype: string - name: early_audio_embeddings sequence: sequence: float64 - name: audio_embeddings sequence: sequence: float64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels dtype: int64 - name: text_embeddings sequence: float32 splits: - name: train num_bytes: 88597718 num_examples: 5501 - name: test num_bytes: 11079348 num_examples: 688 - name: val num_bytes: 11080896 num_examples: 688 download_size: 97134937 dataset_size: 110757962 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: val path: data/val-* ---

Ransaka/IAM

--- dataset_info: features: - name: image dtype: image - name: sentence dtype: string splits: - name: train num_bytes: 100524579.707 num_examples: 2913 download_size: 95676516 dataset_size: 100524579.707 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - image-to-text language: - en pretty_name: IAM Handwashing Dataset size_categories: - 1K<n<10K ---

MingweiMao/Side-view-Pigs

--- license: other --- # This dataset consists of pig farming images captured from a side-view perspective. # After downloading the dataset, place the images and labels in the 'JPEGImages' and 'Annotations' folders under 'VOCdevkit/VOC2007'. # Running 'VOC.py' will categorize the data into training, validation, and test datasets according to specified ratios in VOC format. # Running 'voc-yolo.py' will categorize the data into training, validation, and test datasets in YOLO format with specified ratios. # By following the aforementioned steps, you can obtain the VOC and YOLO formats for this side-view-pigs dataset --- ---