davanstrien/summary-test · Datasets at Hugging Face

datasetId stringlengths 2 117	card stringlengths 19 1.01M
AlexFierro9/Kinetics400	--- license: cc-by-4.0 --- A collection of large-scale, high-quality datasets of URL links of up to 650,000 video clips that cover 400 human action classes. The videos include human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging. Each action class has at least 400. Each clip is human annotated with a single action class and lasts around 10 seconds. Originally created by Google Inc. and the dataset has been uploaded as is without any changes.
hdeldar/Persian-Text-llama2-9k	--- dataset_info: features: - name: answers dtype: string - name: question dtype: string splits: - name: train num_bytes: 17137852 num_examples: 9008 - name: validation num_bytes: 1753700 num_examples: 930 download_size: 1329768 dataset_size: 18891552 --- # Dataset Card for "Persian-Text-llama2-9k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_abhishek__hepu-o4zf-ravz-7-0	--- pretty_name: Evaluation run of abhishek/hepu-o4zf-ravz-7-0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [abhishek/hepu-o4zf-ravz-7-0](https://huggingface.co/abhishek/hepu-o4zf-ravz-7-0)\ \ 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_abhishek__hepu-o4zf-ravz-7-0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-13T15:35:44.454119](https://huggingface.co/datasets/open-llm-leaderboard/details_abhishek__hepu-o4zf-ravz-7-0/blob/main/results_2023-12-13T15-35-44.454119.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\": 0.23314538989180242,\n\ \ \"acc_stderr\": 0.029997889374526535,\n \"acc_norm\": 0.23329981822026483,\n\ \ \"acc_norm_stderr\": 0.03078927812586186,\n \"mc1\": 0.25458996328029376,\n\ \ \"mc1_stderr\": 0.015250117079156487,\n \"mc2\": 0.5166805857294422,\n\ \ \"mc2_stderr\": 0.016293087426390157\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.20477815699658702,\n \"acc_stderr\": 0.011792544338513412,\n\ \ \"acc_norm\": 0.24488054607508533,\n \"acc_norm_stderr\": 0.012566273985131358\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.2584146584345748,\n\ \ \"acc_stderr\": 0.004368684255626194,\n \"acc_norm\": 0.25363473411670984,\n\ \ \"acc_norm_stderr\": 0.004342017709967956\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\": 0.1925925925925926,\n\ \ \"acc_stderr\": 0.03406542058502653,\n \"acc_norm\": 0.1925925925925926,\n\ \ \"acc_norm_stderr\": 0.03406542058502653\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\": 0.31,\n\ \ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.22264150943396227,\n \"acc_stderr\": 0.025604233470899098,\n\ \ \"acc_norm\": 0.22264150943396227,\n \"acc_norm_stderr\": 0.025604233470899098\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \ \ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|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-college_mathematics\|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\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\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\ \ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\ \ },\n \"harness\|hendrycksTest-computer_security\|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-conceptual_physics\|5\"\ : {\n \"acc\": 0.2553191489361702,\n \"acc_stderr\": 0.028504856470514203,\n\ \ \"acc_norm\": 0.2553191489361702,\n \"acc_norm_stderr\": 0.028504856470514203\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\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135302,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135302\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.21693121693121692,\n \"acc_stderr\": 0.021227082449445073,\n \"\ acc_norm\": 0.21693121693121692,\n \"acc_norm_stderr\": 0.021227082449445073\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.30952380952380953,\n\ \ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\ \ \"acc_norm_stderr\": 0.04134913018303316\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\"\ : 0.17096774193548386,\n \"acc_stderr\": 0.02141724293632157,\n \"\ acc_norm\": 0.17096774193548386,\n \"acc_norm_stderr\": 0.02141724293632157\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.1477832512315271,\n \"acc_stderr\": 0.024969621333521274,\n \"\ acc_norm\": 0.1477832512315271,\n \"acc_norm_stderr\": 0.024969621333521274\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.24242424242424243,\n \"acc_stderr\": 0.03346409881055953,\n\ \ \"acc_norm\": 0.24242424242424243,\n \"acc_norm_stderr\": 0.03346409881055953\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.17676767676767677,\n \"acc_stderr\": 0.027178752639044915,\n \"\ acc_norm\": 0.17676767676767677,\n \"acc_norm_stderr\": 0.027178752639044915\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.20725388601036268,\n \"acc_stderr\": 0.02925282329180361,\n\ \ \"acc_norm\": 0.20725388601036268,\n \"acc_norm_stderr\": 0.02925282329180361\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.2,\n \"acc_stderr\": 0.020280805062535722,\n \"acc_norm\"\ : 0.2,\n \"acc_norm_stderr\": 0.020280805062535722\n },\n \"harness\|hendrycksTest-high_school_mathematics\|5\"\ : {\n \"acc\": 0.21851851851851853,\n \"acc_stderr\": 0.02519575225182379,\n\ \ \"acc_norm\": 0.21851851851851853,\n \"acc_norm_stderr\": 0.02519575225182379\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.18543046357615894,\n \"acc_stderr\": 0.03173284384294285,\n \"\ acc_norm\": 0.18543046357615894,\n \"acc_norm_stderr\": 0.03173284384294285\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.2,\n \"acc_stderr\": 0.017149858514250937,\n \"acc_norm\": 0.2,\n\ \ \"acc_norm_stderr\": 0.017149858514250937\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.14814814814814814,\n \"acc_stderr\": 0.02422762927372836,\n\ \ \"acc_norm\": 0.14814814814814814,\n \"acc_norm_stderr\": 0.02422762927372836\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\": 0.26582278481012656,\n \"acc_stderr\": 0.02875679962965834,\n\ \ \"acc_norm\": 0.26582278481012656,\n \"acc_norm_stderr\": 0.02875679962965834\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.31390134529147984,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.31390134529147984,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.25190839694656486,\n \"acc_stderr\": 0.03807387116306086,\n\ \ \"acc_norm\": 0.25190839694656486,\n \"acc_norm_stderr\": 0.03807387116306086\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.2396694214876033,\n \"acc_stderr\": 0.03896878985070417,\n \"\ acc_norm\": 0.2396694214876033,\n \"acc_norm_stderr\": 0.03896878985070417\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\": 0.22699386503067484,\n \"acc_stderr\": 0.032910995786157686,\n\ \ \"acc_norm\": 0.22699386503067484,\n \"acc_norm_stderr\": 0.032910995786157686\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.04464285714285714,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.04464285714285714\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\": 0.2948717948717949,\n\ \ \"acc_stderr\": 0.029872577708891148,\n \"acc_norm\": 0.2948717948717949,\n\ \ \"acc_norm_stderr\": 0.029872577708891148\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\": 0.23243933588761176,\n\ \ \"acc_stderr\": 0.015104550008905702,\n \"acc_norm\": 0.23243933588761176,\n\ \ \"acc_norm_stderr\": 0.015104550008905702\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\": 0.23798882681564246,\n\ \ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\ \ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.22875816993464052,\n \"acc_stderr\": 0.02405102973991225,\n\ \ \"acc_norm\": 0.22875816993464052,\n \"acc_norm_stderr\": 0.02405102973991225\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.1864951768488746,\n\ \ \"acc_stderr\": 0.02212243977248077,\n \"acc_norm\": 0.1864951768488746,\n\ \ \"acc_norm_stderr\": 0.02212243977248077\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.21296296296296297,\n \"acc_stderr\": 0.0227797190887334,\n\ \ \"acc_norm\": 0.21296296296296297,\n \"acc_norm_stderr\": 0.0227797190887334\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.23404255319148937,\n \"acc_stderr\": 0.025257861359432417,\n \ \ \"acc_norm\": 0.23404255319148937,\n \"acc_norm_stderr\": 0.025257861359432417\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.2457627118644068,\n\ \ \"acc_stderr\": 0.010996156635142692,\n \"acc_norm\": 0.2457627118644068,\n\ \ \"acc_norm_stderr\": 0.010996156635142692\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.2426470588235294,\n \"acc_stderr\": 0.026040662474201247,\n\ \ \"acc_norm\": 0.2426470588235294,\n \"acc_norm_stderr\": 0.026040662474201247\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\": 0.18775510204081633,\n\ \ \"acc_stderr\": 0.02500025603954621,\n \"acc_norm\": 0.18775510204081633,\n\ \ \"acc_norm_stderr\": 0.02500025603954621\n },\n \"harness\|hendrycksTest-sociology\|5\"\ : {\n \"acc\": 0.24378109452736318,\n \"acc_stderr\": 0.03036049015401465,\n\ \ \"acc_norm\": 0.24378109452736318,\n \"acc_norm_stderr\": 0.03036049015401465\n\ \ },\n \"harness\|hendrycksTest-us_foreign_policy\|5\": {\n \"acc\":\ \ 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.28,\n\ \ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness\|hendrycksTest-virology\|5\"\ : {\n \"acc\": 0.2710843373493976,\n \"acc_stderr\": 0.03460579907553027,\n\ \ \"acc_norm\": 0.2710843373493976,\n \"acc_norm_stderr\": 0.03460579907553027\n\ \ },\n \"harness\|hendrycksTest-world_religions\|5\": {\n \"acc\": 0.26900584795321636,\n\ \ \"acc_stderr\": 0.0340105262010409,\n \"acc_norm\": 0.26900584795321636,\n\ \ \"acc_norm_stderr\": 0.0340105262010409\n },\n \"harness\|truthfulqa:mc\|0\"\ : {\n \"mc1\": 0.25458996328029376,\n \"mc1_stderr\": 0.015250117079156487,\n\ \ \"mc2\": 0.5166805857294422,\n \"mc2_stderr\": 0.016293087426390157\n\ \ },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.4925019731649566,\n\ \ \"acc_stderr\": 0.014050905521228573\n },\n \"harness\|gsm8k\|5\":\ \ {\n \"acc\": 0.0,\n \"acc_stderr\": 0.0\n }\n}\n```" repo_url: https://huggingface.co/abhishek/hepu-o4zf-ravz-7-0 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_12_13T15_35_44.454119 path: - '/details_harness\|arc:challenge\|25_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-13T15-35-44.454119.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|gsm8k\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hellaswag\|10_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-13T15-35-44.454119.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-13T15-35-44.454119.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '/details_harness\|winogrande\|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-13T15-35-44.454119.parquet' - config_name: results data_files: - split: 2023_12_13T15_35_44.454119 path: - results_2023-12-13T15-35-44.454119.parquet - split: latest path: - results_2023-12-13T15-35-44.454119.parquet --- # Dataset Card for Evaluation run of abhishek/hepu-o4zf-ravz-7-0 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [abhishek/hepu-o4zf-ravz-7-0](https://huggingface.co/abhishek/hepu-o4zf-ravz-7-0) 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_abhishek__hepu-o4zf-ravz-7-0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-13T15:35:44.454119](https://huggingface.co/datasets/open-llm-leaderboard/details_abhishek__hepu-o4zf-ravz-7-0/blob/main/results_2023-12-13T15-35-44.454119.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": 0.23314538989180242, "acc_stderr": 0.029997889374526535, "acc_norm": 0.23329981822026483, "acc_norm_stderr": 0.03078927812586186, "mc1": 0.25458996328029376, "mc1_stderr": 0.015250117079156487, "mc2": 0.5166805857294422, "mc2_stderr": 0.016293087426390157 }, "harness\|arc:challenge\|25": { "acc": 0.20477815699658702, "acc_stderr": 0.011792544338513412, "acc_norm": 0.24488054607508533, "acc_norm_stderr": 0.012566273985131358 }, "harness\|hellaswag\|10": { "acc": 0.2584146584345748, "acc_stderr": 0.004368684255626194, "acc_norm": 0.25363473411670984, "acc_norm_stderr": 0.004342017709967956 }, "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": 0.1925925925925926, "acc_stderr": 0.03406542058502653, "acc_norm": 0.1925925925925926, "acc_norm_stderr": 0.03406542058502653 }, "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": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.22264150943396227, "acc_stderr": 0.025604233470899098, "acc_norm": 0.22264150943396227, "acc_norm_stderr": 0.025604233470899098 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.25, "acc_stderr": 0.03621034121889507, "acc_norm": 0.25, "acc_norm_stderr": 0.03621034121889507 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "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": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.2553191489361702, "acc_stderr": 0.028504856470514203, "acc_norm": 0.2553191489361702, "acc_norm_stderr": 0.028504856470514203 }, "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": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.21693121693121692, "acc_stderr": 0.021227082449445073, "acc_norm": 0.21693121693121692, "acc_norm_stderr": 0.021227082449445073 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.30952380952380953, "acc_stderr": 0.04134913018303316, "acc_norm": 0.30952380952380953, "acc_norm_stderr": 0.04134913018303316 }, "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": 0.17096774193548386, "acc_stderr": 0.02141724293632157, "acc_norm": 0.17096774193548386, "acc_norm_stderr": 0.02141724293632157 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.1477832512315271, "acc_stderr": 0.024969621333521274, "acc_norm": 0.1477832512315271, "acc_norm_stderr": 0.024969621333521274 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.24242424242424243, "acc_stderr": 0.03346409881055953, "acc_norm": 0.24242424242424243, "acc_norm_stderr": 0.03346409881055953 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.17676767676767677, "acc_stderr": 0.027178752639044915, "acc_norm": 0.17676767676767677, "acc_norm_stderr": 0.027178752639044915 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.20725388601036268, "acc_stderr": 0.02925282329180361, "acc_norm": 0.20725388601036268, "acc_norm_stderr": 0.02925282329180361 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.2, "acc_stderr": 0.020280805062535722, "acc_norm": 0.2, "acc_norm_stderr": 0.020280805062535722 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.21851851851851853, "acc_stderr": 0.02519575225182379, "acc_norm": 0.21851851851851853, "acc_norm_stderr": 0.02519575225182379 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.21008403361344538, "acc_stderr": 0.026461398717471874, "acc_norm": 0.21008403361344538, "acc_norm_stderr": 0.026461398717471874 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.18543046357615894, "acc_stderr": 0.03173284384294285, "acc_norm": 0.18543046357615894, "acc_norm_stderr": 0.03173284384294285 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.2, "acc_stderr": 0.017149858514250937, "acc_norm": 0.2, "acc_norm_stderr": 0.017149858514250937 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.14814814814814814, "acc_stderr": 0.02422762927372836, "acc_norm": 0.14814814814814814, "acc_norm_stderr": 0.02422762927372836 }, "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": 0.26582278481012656, "acc_stderr": 0.02875679962965834, "acc_norm": 0.26582278481012656, "acc_norm_stderr": 0.02875679962965834 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.31390134529147984, "acc_stderr": 0.031146796482972465, "acc_norm": 0.31390134529147984, "acc_norm_stderr": 0.031146796482972465 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.25190839694656486, "acc_stderr": 0.03807387116306086, "acc_norm": 0.25190839694656486, "acc_norm_stderr": 0.03807387116306086 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.2396694214876033, "acc_stderr": 0.03896878985070417, "acc_norm": 0.2396694214876033, "acc_norm_stderr": 0.03896878985070417 }, "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": 0.22699386503067484, "acc_stderr": 0.032910995786157686, "acc_norm": 0.22699386503067484, "acc_norm_stderr": 0.032910995786157686 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.33035714285714285, "acc_stderr": 0.04464285714285714, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.04464285714285714 }, "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": 0.2948717948717949, "acc_stderr": 0.029872577708891148, "acc_norm": 0.2948717948717949, "acc_norm_stderr": 0.029872577708891148 }, "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": 0.23243933588761176, "acc_stderr": 0.015104550008905702, "acc_norm": 0.23243933588761176, "acc_norm_stderr": 0.015104550008905702 }, "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": 0.23798882681564246, "acc_stderr": 0.014242630070574915, "acc_norm": 0.23798882681564246, "acc_norm_stderr": 0.014242630070574915 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.22875816993464052, "acc_stderr": 0.02405102973991225, "acc_norm": 0.22875816993464052, "acc_norm_stderr": 0.02405102973991225 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.1864951768488746, "acc_stderr": 0.02212243977248077, "acc_norm": 0.1864951768488746, "acc_norm_stderr": 0.02212243977248077 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.21296296296296297, "acc_stderr": 0.0227797190887334, "acc_norm": 0.21296296296296297, "acc_norm_stderr": 0.0227797190887334 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.23404255319148937, "acc_stderr": 0.025257861359432417, "acc_norm": 0.23404255319148937, "acc_norm_stderr": 0.025257861359432417 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.2457627118644068, "acc_stderr": 0.010996156635142692, "acc_norm": 0.2457627118644068, "acc_norm_stderr": 0.010996156635142692 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.2426470588235294, "acc_stderr": 0.026040662474201247, "acc_norm": 0.2426470588235294, "acc_norm_stderr": 0.026040662474201247 }, "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": 0.18775510204081633, "acc_stderr": 0.02500025603954621, "acc_norm": 0.18775510204081633, "acc_norm_stderr": 0.02500025603954621 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.24378109452736318, "acc_stderr": 0.03036049015401465, "acc_norm": 0.24378109452736318, "acc_norm_stderr": 0.03036049015401465 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.2710843373493976, "acc_stderr": 0.03460579907553027, "acc_norm": 0.2710843373493976, "acc_norm_stderr": 0.03460579907553027 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.26900584795321636, "acc_stderr": 0.0340105262010409, "acc_norm": 0.26900584795321636, "acc_norm_stderr": 0.0340105262010409 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.25458996328029376, "mc1_stderr": 0.015250117079156487, "mc2": 0.5166805857294422, "mc2_stderr": 0.016293087426390157 }, "harness\|winogrande\|5": { "acc": 0.4925019731649566, "acc_stderr": 0.014050905521228573 }, "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 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CyberHarem/marseillaise_azurlane	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of marseillaise/マルセイエーズ/马赛曲 (Azur Lane) This is the dataset of marseillaise/マルセイエーズ/马赛曲 (Azur Lane), containing 23 images and their tags. The core tags of this character are `breasts, long_hair, red_eyes, large_breasts, bangs, white_hair, very_long_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 \| 23 \| 52.51 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 23 \| 21.14 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 63 \| 49.55 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 23 \| 43.19 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 63 \| 83.50 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/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/marseillaise_azurlane', 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 \| 8 \| ![](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, blush, cleavage, detached_sleeves, looking_at_viewer, white_dress, black_thighhighs, navel, black_gloves, closed_mouth, hair_ornament, thighs, horns, smile, cowboy_shot, long_sleeves, panties, simple_background, white_background \| \| 1 \| 6 \| ![](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_pants, looking_at_viewer, solo, sports_bra, yoga_pants, ass, bare_shoulders, blush, no_shoes, sweat, sitting, closed_mouth, grey_hair, looking_back, white_socks \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| solo \| blush \| cleavage \| detached_sleeves \| looking_at_viewer \| white_dress \| black_thighhighs \| navel \| black_gloves \| closed_mouth \| hair_ornament \| thighs \| horns \| smile \| cowboy_shot \| long_sleeves \| panties \| simple_background \| white_background \| black_pants \| sports_bra \| yoga_pants \| ass \| bare_shoulders \| no_shoes \| sweat \| sitting \| grey_hair \| looking_back \| white_socks \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:-------\|:--------\|:-----------\|:-------------------\|:--------------------\|:--------------\|:-------------------\|:--------\|:---------------\|:---------------\|:----------------\|:---------\|:--------\|:--------\|:--------------\|:---------------\|:----------\|:--------------------\|:-------------------\|:--------------\|:-------------\|:-------------\|:------\|:-----------------\|:-----------\|:--------\|:----------\|:------------\|:---------------\|:--------------\| \| 0 \| 8 \| ![](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 \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 6 \| ![](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 \| X \|
kaleemWaheed/twitter_dataset_1713134790	--- 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: 23978 num_examples: 57 download_size: 13683 dataset_size: 23978 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_Syed-Hasan-8503__openhermes-gemma-2b-it	--- pretty_name: Evaluation run of Syed-Hasan-8503/openhermes-gemma-2b-it dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Syed-Hasan-8503/openhermes-gemma-2b-it](https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it)\ \ 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_Syed-Hasan-8503__openhermes-gemma-2b-it\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-22T14:39:27.607922](https://huggingface.co/datasets/open-llm-leaderboard/details_Syed-Hasan-8503__openhermes-gemma-2b-it/blob/main/results_2024-02-22T14-39-27.607922.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\": 0.37696524742191334,\n\ \ \"acc_stderr\": 0.03381316358729798,\n \"acc_norm\": 0.3815378335823341,\n\ \ \"acc_norm_stderr\": 0.03461953317836164,\n \"mc1\": 0.29008567931456547,\n\ \ \"mc1_stderr\": 0.01588623687420952,\n \"mc2\": 0.458323806326475,\n\ \ \"mc2_stderr\": 0.015931044127458407\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.4044368600682594,\n \"acc_stderr\": 0.014342036483436172,\n\ \ \"acc_norm\": 0.439419795221843,\n \"acc_norm_stderr\": 0.01450374782358013\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.4810794662417845,\n\ \ \"acc_stderr\": 0.00498620758186293,\n \"acc_norm\": 0.627365066719777,\n\ \ \"acc_norm_stderr\": 0.004825179407757572\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.3851851851851852,\n\ \ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.3851851851851852,\n\ \ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.3355263157894737,\n \"acc_stderr\": 0.03842498559395269,\n\ \ \"acc_norm\": 0.3355263157894737,\n \"acc_norm_stderr\": 0.03842498559395269\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.48,\n\ \ \"acc_stderr\": 0.05021167315686779,\n \"acc_norm\": 0.48,\n \ \ \"acc_norm_stderr\": 0.05021167315686779\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.42641509433962266,\n \"acc_stderr\": 0.030437794342983042,\n\ \ \"acc_norm\": 0.42641509433962266,\n \"acc_norm_stderr\": 0.030437794342983042\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.3402777777777778,\n\ \ \"acc_stderr\": 0.03962135573486219,\n \"acc_norm\": 0.3402777777777778,\n\ \ \"acc_norm_stderr\": 0.03962135573486219\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768077,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768077\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|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_mathematics\|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-college_medicine\|5\": {\n \"acc\": 0.3583815028901734,\n\ \ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.3583815028901734,\n\ \ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.18627450980392157,\n \"acc_stderr\": 0.038739587141493524,\n\ \ \"acc_norm\": 0.18627450980392157,\n \"acc_norm_stderr\": 0.038739587141493524\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \"\ acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.35319148936170214,\n \"acc_stderr\": 0.031245325202761923,\n\ \ \"acc_norm\": 0.35319148936170214,\n \"acc_norm_stderr\": 0.031245325202761923\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.2807017543859649,\n\ \ \"acc_stderr\": 0.042270544512322,\n \"acc_norm\": 0.2807017543859649,\n\ \ \"acc_norm_stderr\": 0.042270544512322\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.46206896551724136,\n \"acc_stderr\": 0.04154659671707546,\n\ \ \"acc_norm\": 0.46206896551724136,\n \"acc_norm_stderr\": 0.04154659671707546\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.24867724867724866,\n \"acc_stderr\": 0.022261817692400168,\n \"\ acc_norm\": 0.24867724867724866,\n \"acc_norm_stderr\": 0.022261817692400168\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.25396825396825395,\n\ \ \"acc_stderr\": 0.03893259610604674,\n \"acc_norm\": 0.25396825396825395,\n\ \ \"acc_norm_stderr\": 0.03893259610604674\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.3161290322580645,\n\ \ \"acc_stderr\": 0.02645087448904277,\n \"acc_norm\": 0.3161290322580645,\n\ \ \"acc_norm_stderr\": 0.02645087448904277\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\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.46060606060606063,\n \"acc_stderr\": 0.03892207016552012,\n\ \ \"acc_norm\": 0.46060606060606063,\n \"acc_norm_stderr\": 0.03892207016552012\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.4595959595959596,\n \"acc_stderr\": 0.035507024651313425,\n \"\ acc_norm\": 0.4595959595959596,\n \"acc_norm_stderr\": 0.035507024651313425\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.47668393782383417,\n \"acc_stderr\": 0.03604513672442207,\n\ \ \"acc_norm\": 0.47668393782383417,\n \"acc_norm_stderr\": 0.03604513672442207\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.3282051282051282,\n \"acc_stderr\": 0.023807633198657262,\n\ \ \"acc_norm\": 0.3282051282051282,\n \"acc_norm_stderr\": 0.023807633198657262\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2,\n \"acc_stderr\": 0.024388430433987664,\n \"acc_norm\"\ : 0.2,\n \"acc_norm_stderr\": 0.024388430433987664\n },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\"\ : {\n \"acc\": 0.3403361344537815,\n \"acc_stderr\": 0.030778057422931673,\n\ \ \"acc_norm\": 0.3403361344537815,\n \"acc_norm_stderr\": 0.030778057422931673\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\ acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.5100917431192661,\n \"acc_stderr\": 0.021432956203453316,\n \"\ acc_norm\": 0.5100917431192661,\n \"acc_norm_stderr\": 0.021432956203453316\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.2037037037037037,\n \"acc_stderr\": 0.027467401804057986,\n \"\ acc_norm\": 0.2037037037037037,\n \"acc_norm_stderr\": 0.027467401804057986\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.4215686274509804,\n \"acc_stderr\": 0.03465868196380758,\n \"\ acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.03465868196380758\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.5189873417721519,\n \"acc_stderr\": 0.03252375148090448,\n \ \ \"acc_norm\": 0.5189873417721519,\n \"acc_norm_stderr\": 0.03252375148090448\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.3901345291479821,\n\ \ \"acc_stderr\": 0.03273766725459157,\n \"acc_norm\": 0.3901345291479821,\n\ \ \"acc_norm_stderr\": 0.03273766725459157\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.42748091603053434,\n \"acc_stderr\": 0.04338920305792401,\n\ \ \"acc_norm\": 0.42748091603053434,\n \"acc_norm_stderr\": 0.04338920305792401\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.5206611570247934,\n \"acc_stderr\": 0.04560456086387235,\n \"\ acc_norm\": 0.5206611570247934,\n \"acc_norm_stderr\": 0.04560456086387235\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.46296296296296297,\n\ \ \"acc_stderr\": 0.04820403072760627,\n \"acc_norm\": 0.46296296296296297,\n\ \ \"acc_norm_stderr\": 0.04820403072760627\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.3619631901840491,\n \"acc_stderr\": 0.037757007291414416,\n\ \ \"acc_norm\": 0.3619631901840491,\n \"acc_norm_stderr\": 0.037757007291414416\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.044642857142857116,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.044642857142857116\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.44660194174757284,\n \"acc_stderr\": 0.04922424153458933,\n\ \ \"acc_norm\": 0.44660194174757284,\n \"acc_norm_stderr\": 0.04922424153458933\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.594017094017094,\n\ \ \"acc_stderr\": 0.03217180182641086,\n \"acc_norm\": 0.594017094017094,\n\ \ \"acc_norm_stderr\": 0.03217180182641086\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.46360153256704983,\n\ \ \"acc_stderr\": 0.01783252407959326,\n \"acc_norm\": 0.46360153256704983,\n\ \ \"acc_norm_stderr\": 0.01783252407959326\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.407514450867052,\n \"acc_stderr\": 0.0264545781469315,\n\ \ \"acc_norm\": 0.407514450867052,\n \"acc_norm_stderr\": 0.0264545781469315\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2536312849162011,\n\ \ \"acc_stderr\": 0.01455155365936992,\n \"acc_norm\": 0.2536312849162011,\n\ \ \"acc_norm_stderr\": 0.01455155365936992\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.02849199358617157,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.02849199358617157\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.40192926045016075,\n\ \ \"acc_stderr\": 0.027846476005930473,\n \"acc_norm\": 0.40192926045016075,\n\ \ \"acc_norm_stderr\": 0.027846476005930473\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.4074074074074074,\n \"acc_stderr\": 0.027339546640662727,\n\ \ \"acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.027339546640662727\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.3049645390070922,\n \"acc_stderr\": 0.027464708442022135,\n \ \ \"acc_norm\": 0.3049645390070922,\n \"acc_norm_stderr\": 0.027464708442022135\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.31877444589308995,\n\ \ \"acc_stderr\": 0.0119018956357861,\n \"acc_norm\": 0.31877444589308995,\n\ \ \"acc_norm_stderr\": 0.0119018956357861\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.20220588235294118,\n \"acc_stderr\": 0.024398192986654924,\n\ \ \"acc_norm\": 0.20220588235294118,\n \"acc_norm_stderr\": 0.024398192986654924\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.380718954248366,\n \"acc_stderr\": 0.019643801557924806,\n \ \ \"acc_norm\": 0.380718954248366,\n \"acc_norm_stderr\": 0.019643801557924806\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.41818181818181815,\n\ \ \"acc_stderr\": 0.0472457740573157,\n \"acc_norm\": 0.41818181818181815,\n\ \ \"acc_norm_stderr\": 0.0472457740573157\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.47346938775510206,\n \"acc_stderr\": 0.03196412734523272,\n\ \ \"acc_norm\": 0.47346938775510206,\n \"acc_norm_stderr\": 0.03196412734523272\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.43283582089552236,\n\ \ \"acc_stderr\": 0.03503490923673281,\n \"acc_norm\": 0.43283582089552236,\n\ \ \"acc_norm_stderr\": 0.03503490923673281\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.64,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4036144578313253,\n\ \ \"acc_stderr\": 0.038194861407583984,\n \"acc_norm\": 0.4036144578313253,\n\ \ \"acc_norm_stderr\": 0.038194861407583984\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.4444444444444444,\n \"acc_stderr\": 0.03811079669833531,\n\ \ \"acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03811079669833531\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.29008567931456547,\n\ \ \"mc1_stderr\": 0.01588623687420952,\n \"mc2\": 0.458323806326475,\n\ \ \"mc2_stderr\": 0.015931044127458407\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6093133385951065,\n \"acc_stderr\": 0.01371253603655665\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.056103108415466264,\n \ \ \"acc_stderr\": 0.006338668431321893\n }\n}\n```" repo_url: https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it 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_02_22T14_39_27.607922 path: - '/details_harness\|arc:challenge\|25_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-22T14-39-27.607922.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|gsm8k\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hellaswag\|10_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-22T14-39-27.607922.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-22T14-39-27.607922.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '/details_harness\|winogrande\|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-22T14-39-27.607922.parquet' - config_name: results data_files: - split: 2024_02_22T14_39_27.607922 path: - results_2024-02-22T14-39-27.607922.parquet - split: latest path: - results_2024-02-22T14-39-27.607922.parquet --- # Dataset Card for Evaluation run of Syed-Hasan-8503/openhermes-gemma-2b-it <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Syed-Hasan-8503/openhermes-gemma-2b-it](https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it) 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_Syed-Hasan-8503__openhermes-gemma-2b-it", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-22T14:39:27.607922](https://huggingface.co/datasets/open-llm-leaderboard/details_Syed-Hasan-8503__openhermes-gemma-2b-it/blob/main/results_2024-02-22T14-39-27.607922.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": 0.37696524742191334, "acc_stderr": 0.03381316358729798, "acc_norm": 0.3815378335823341, "acc_norm_stderr": 0.03461953317836164, "mc1": 0.29008567931456547, "mc1_stderr": 0.01588623687420952, "mc2": 0.458323806326475, "mc2_stderr": 0.015931044127458407 }, "harness\|arc:challenge\|25": { "acc": 0.4044368600682594, "acc_stderr": 0.014342036483436172, "acc_norm": 0.439419795221843, "acc_norm_stderr": 0.01450374782358013 }, "harness\|hellaswag\|10": { "acc": 0.4810794662417845, "acc_stderr": 0.00498620758186293, "acc_norm": 0.627365066719777, "acc_norm_stderr": 0.004825179407757572 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.3851851851851852, "acc_stderr": 0.042039210401562783, "acc_norm": 0.3851851851851852, "acc_norm_stderr": 0.042039210401562783 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.3355263157894737, "acc_stderr": 0.03842498559395269, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.03842498559395269 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.48, "acc_stderr": 0.05021167315686779, "acc_norm": 0.48, "acc_norm_stderr": 0.05021167315686779 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.42641509433962266, "acc_stderr": 0.030437794342983042, "acc_norm": 0.42641509433962266, "acc_norm_stderr": 0.030437794342983042 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.3402777777777778, "acc_stderr": 0.03962135573486219, "acc_norm": 0.3402777777777778, "acc_norm_stderr": 0.03962135573486219 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.26, "acc_stderr": 0.04408440022768077, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768077 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.3583815028901734, "acc_stderr": 0.036563436533531585, "acc_norm": 0.3583815028901734, "acc_norm_stderr": 0.036563436533531585 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.18627450980392157, "acc_stderr": 0.038739587141493524, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.038739587141493524 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.35319148936170214, "acc_stderr": 0.031245325202761923, "acc_norm": 0.35319148936170214, "acc_norm_stderr": 0.031245325202761923 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.2807017543859649, "acc_stderr": 0.042270544512322, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.042270544512322 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.46206896551724136, "acc_stderr": 0.04154659671707546, "acc_norm": 0.46206896551724136, "acc_norm_stderr": 0.04154659671707546 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.24867724867724866, "acc_stderr": 0.022261817692400168, "acc_norm": 0.24867724867724866, "acc_norm_stderr": 0.022261817692400168 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.25396825396825395, "acc_stderr": 0.03893259610604674, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.03893259610604674 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.3161290322580645, "acc_stderr": 0.02645087448904277, "acc_norm": 0.3161290322580645, "acc_norm_stderr": 0.02645087448904277 }, "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": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.46060606060606063, "acc_stderr": 0.03892207016552012, "acc_norm": 0.46060606060606063, "acc_norm_stderr": 0.03892207016552012 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.4595959595959596, "acc_stderr": 0.035507024651313425, "acc_norm": 0.4595959595959596, "acc_norm_stderr": 0.035507024651313425 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.47668393782383417, "acc_stderr": 0.03604513672442207, "acc_norm": 0.47668393782383417, "acc_norm_stderr": 0.03604513672442207 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.3282051282051282, "acc_stderr": 0.023807633198657262, "acc_norm": 0.3282051282051282, "acc_norm_stderr": 0.023807633198657262 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2, "acc_stderr": 0.024388430433987664, "acc_norm": 0.2, "acc_norm_stderr": 0.024388430433987664 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.3403361344537815, "acc_stderr": 0.030778057422931673, "acc_norm": 0.3403361344537815, "acc_norm_stderr": 0.030778057422931673 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.2582781456953642, "acc_stderr": 0.035737053147634576, "acc_norm": 0.2582781456953642, "acc_norm_stderr": 0.035737053147634576 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.5100917431192661, "acc_stderr": 0.021432956203453316, "acc_norm": 0.5100917431192661, "acc_norm_stderr": 0.021432956203453316 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.2037037037037037, "acc_stderr": 0.027467401804057986, "acc_norm": 0.2037037037037037, "acc_norm_stderr": 0.027467401804057986 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.4215686274509804, "acc_stderr": 0.03465868196380758, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.03465868196380758 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.5189873417721519, "acc_stderr": 0.03252375148090448, "acc_norm": 0.5189873417721519, "acc_norm_stderr": 0.03252375148090448 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.3901345291479821, "acc_stderr": 0.03273766725459157, "acc_norm": 0.3901345291479821, "acc_norm_stderr": 0.03273766725459157 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.42748091603053434, "acc_stderr": 0.04338920305792401, "acc_norm": 0.42748091603053434, "acc_norm_stderr": 0.04338920305792401 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.5206611570247934, "acc_stderr": 0.04560456086387235, "acc_norm": 0.5206611570247934, "acc_norm_stderr": 0.04560456086387235 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.46296296296296297, "acc_stderr": 0.04820403072760627, "acc_norm": 0.46296296296296297, "acc_norm_stderr": 0.04820403072760627 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.3619631901840491, "acc_stderr": 0.037757007291414416, "acc_norm": 0.3619631901840491, "acc_norm_stderr": 0.037757007291414416 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.33035714285714285, "acc_stderr": 0.044642857142857116, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.044642857142857116 }, "harness\|hendrycksTest-management\|5": { "acc": 0.44660194174757284, "acc_stderr": 0.04922424153458933, "acc_norm": 0.44660194174757284, "acc_norm_stderr": 0.04922424153458933 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.594017094017094, "acc_stderr": 0.03217180182641086, "acc_norm": 0.594017094017094, "acc_norm_stderr": 0.03217180182641086 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.46360153256704983, "acc_stderr": 0.01783252407959326, "acc_norm": 0.46360153256704983, "acc_norm_stderr": 0.01783252407959326 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.407514450867052, "acc_stderr": 0.0264545781469315, "acc_norm": 0.407514450867052, "acc_norm_stderr": 0.0264545781469315 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2536312849162011, "acc_stderr": 0.01455155365936992, "acc_norm": 0.2536312849162011, "acc_norm_stderr": 0.01455155365936992 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.45098039215686275, "acc_stderr": 0.02849199358617157, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.02849199358617157 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.40192926045016075, "acc_stderr": 0.027846476005930473, "acc_norm": 0.40192926045016075, "acc_norm_stderr": 0.027846476005930473 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.4074074074074074, "acc_stderr": 0.027339546640662727, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.027339546640662727 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.3049645390070922, "acc_stderr": 0.027464708442022135, "acc_norm": 0.3049645390070922, "acc_norm_stderr": 0.027464708442022135 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.31877444589308995, "acc_stderr": 0.0119018956357861, "acc_norm": 0.31877444589308995, "acc_norm_stderr": 0.0119018956357861 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.20220588235294118, "acc_stderr": 0.024398192986654924, "acc_norm": 0.20220588235294118, "acc_norm_stderr": 0.024398192986654924 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.380718954248366, "acc_stderr": 0.019643801557924806, "acc_norm": 0.380718954248366, "acc_norm_stderr": 0.019643801557924806 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.41818181818181815, "acc_stderr": 0.0472457740573157, "acc_norm": 0.41818181818181815, "acc_norm_stderr": 0.0472457740573157 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.47346938775510206, "acc_stderr": 0.03196412734523272, "acc_norm": 0.47346938775510206, "acc_norm_stderr": 0.03196412734523272 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.43283582089552236, "acc_stderr": 0.03503490923673281, "acc_norm": 0.43283582089552236, "acc_norm_stderr": 0.03503490923673281 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4036144578313253, "acc_stderr": 0.038194861407583984, "acc_norm": 0.4036144578313253, "acc_norm_stderr": 0.038194861407583984 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.4444444444444444, "acc_stderr": 0.03811079669833531, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.03811079669833531 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.29008567931456547, "mc1_stderr": 0.01588623687420952, "mc2": 0.458323806326475, "mc2_stderr": 0.015931044127458407 }, "harness\|winogrande\|5": { "acc": 0.6093133385951065, "acc_stderr": 0.01371253603655665 }, "harness\|gsm8k\|5": { "acc": 0.056103108415466264, "acc_stderr": 0.006338668431321893 } } ``` ## 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]
karpathy/tiny_shakespeare	--- paperswithcode_id: null pretty_name: TinyShakespeare dataset_info: features: - name: text dtype: string splits: - name: test num_bytes: 55780 num_examples: 1 - name: train num_bytes: 1003864 num_examples: 1 - name: validation num_bytes: 55780 num_examples: 1 download_size: 1115394 dataset_size: 1115424 --- # Dataset Card for "tiny_shakespeare" ## 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: [https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt](https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt) - Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of downloaded dataset files: 1.11 MB - Size of the generated dataset: 1.11 MB - Total amount of disk used: 2.23 MB ### Dataset Summary 40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/. To use for e.g. character modelling: ``` d = datasets.load_dataset(name='tiny_shakespeare')['train'] d = d.map(lambda x: datasets.Value('strings').unicode_split(x['text'], 'UTF-8')) # train split includes vocabulary for other splits vocabulary = sorted(set(next(iter(d)).numpy())) d = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]}) d = d.unbatch() seq_len = 100 batch_size = 2 d = d.batch(seq_len) d = d.batch(batch_size) ``` ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### default - Size of downloaded dataset files: 1.11 MB - Size of the generated dataset: 1.11 MB - Total amount of disk used: 2.23 MB An example of 'train' looks as follows. ``` { "text": "First Citizen:\nBefore we proceed any further, hear me " } ``` ### Data Fields The data fields are the same among all splits. #### default - `text`: a `string` feature. ### Data Splits \| name \|train\|validation\|test\| \|-------\|----:\|---------:\|---:\| \|default\| 1\| 1\| 1\| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @misc{ author={Karpathy, Andrej}, title={char-rnn}, year={2015}, howpublished={\url{https://github.com/karpathy/char-rnn}} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
jmartin233/reading_comprehension_exercise_dataset_v2	--- dataset_info: features: - name: person dtype: string - name: location dtype: string - name: grammar dtype: string - name: level dtype: string - name: passage dtype: string splits: - name: train num_bytes: 104862 num_examples: 171 download_size: 53842 dataset_size: 104862 --- # Dataset Card for "reading_comprehension_exercise_dataset_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jbilcke-hf/ai-tube-tensar-studios	--- license: cc-by-nc-sa-4.0 pretty_name: Tensar Studios --- ## Description Follow us to experience a new era of 3D AI-animated short films. ## Model SVD ## LoRA artificialguybr/3DRedmond-V1 ## Style - 3D Render Style - 3DRenderAF ## Voice Cloée ## Music Background cinematic music ## Prompt A video channel which produces short 3D films of fictional franchises. Stories should be short, about 1 minute or 2, but full of action and fun. It will NEVER create content from existing artists or studio. Instead it will create its own artistic stories, content, stories and characters. Characters should not be biased towards any specific gender, work, country, religion or culture. Some themes should be avoided in the stories, such as violence, sex, war, crimes etc. No nudity is tolerated. It should use animal characters whenever possible, but also human characters. Characters should be very cartoony / cute.
taesiri/imagenet-hard-4K	--- dataset_info: features: - name: id dtype: int64 - name: image dtype: image - name: label sequence: int64 - name: origin dtype: string - name: english_label sequence: string splits: - name: validation num_bytes: 70959420455.86 num_examples: 10980 download_size: 66129324319 dataset_size: 70959420455.86 license: mit task_categories: - image-classification language: - en tags: - OOD - ImageNet - Out Of Distribution pretty_name: ImageNet-Hard-4K size_categories: - 10K<n<100K --- # Dataset Card for "Imagenet-Hard-4K" [Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [Paper](https://arxiv.org/abs/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed) ImageNet-Hard-4K is 4K version of the original [ImageNet-Hard](https://huggingface.co/datasets/taesiri/imagenet-hard) dataset, which is a new benchmark that comprises 10,980 images collected from various existing ImageNet-scale benchmarks (ImageNet, ImageNet-V2, ImageNet-Sketch, ImageNet-C, ImageNet-R, ImageNet-ReaL, ImageNet-A, and ObjectNet). This dataset poses a significant challenge to state-of-the-art vision models as merely zooming in often fails to improve their ability to classify images correctly. As a result, even the most advanced models, such as `CLIP-ViT-L/14@336px`, struggle to perform well on this dataset, achieving a mere `2.02%` accuracy. ## Upscaling Procedure We employed [GigaGAN](https://mingukkang.github.io/GigaGAN/) to upscale each image from the original ImageNet-Hard dataset to a resolution of 4K. ### Dataset Distribution ![Dataset Distribution](https://taesiri.github.io/ZoomIsAllYouNeed/static/svg/imagenet_hard_distribution.svg) ### Classifiers Performance \| Model \| Accuracy \| \| ------------------- \| -------- \| \| AlexNet \| 7.08 \| \| VGG-16 \| 11.32 \| \| ResNet-18 \| 10.42 \| \| ResNet-50 \| 13.93 \| \| ViT-B/32 \| 18.12 \| \| EfficientNet-B0 \| 12.94 \| \| EfficientNet-B7 \| 18.67 \| \| EfficientNet-L2-Ns \| 28.42 \| \| CLIP-ViT-L/14@224px \| 1.81 \| \| CLIP-ViT-L/14@336px \| 1.88 \| \| OpenCLIP-ViT-bigG-14\| 14.33 \| \| OpenCLIP-ViT-L-14 \| 13.04 \| Evaluation Code * CLIP <a target="_blank" href="https://colab.research.google.com/github/taesiri/ZoomIsAllYouNeed/blob/main/src/ImageNet_Hard/Prompt_Engineering_for_ImageNet_Hard.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> </a> * Other models <a target="_blank" href="https://colab.research.google.com/github/taesiri/ZoomIsAllYouNeed/blob/main/src/ImageNet_Hard/Benchmark_ImageNet_Hard.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> </a> ## Supported Tasks - `image-classification`: The objective of this task is to classify an image into one or more classes, selected from 1000 ImageNet categories (allowing for multiple ground-truth labels per image). ## Languages The `english_label` field in the dataset are in English. ## Dataset Structure Data Instances An example looks like this: ```python { 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=575x409 at 0x7F09456B53A0>, 'label': [0], 'origin': 'imagenet_sketch', 'english_label': ['tench'] } ``` ### Data Fields The data instances have the following fields: - image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0]. - label: A List[int] collection containing the ground-truth ids. - origin: A string containing source dataset. - english_label: A List[str] collection containg the english labels for the ground-truth classes. <details> <summary> Click here to see the full list of ImageNet class labels mapping: </summary> \|id\|Class\| \|--\|-----\| \|0 \| tench, Tinca tinca\| \|1 \| goldfish, Carassius auratus\| \|2 \| great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias\| \|3 \| tiger shark, Galeocerdo cuvieri\| \|4 \| hammerhead, hammerhead shark\| \|5 \| electric ray, crampfish, numbfish, torpedo\| \|6 \| stingray\| \|7 \| cock\| \|8 \| hen\| \|9 \| ostrich, Struthio camelus\| \|10 \| brambling, Fringilla montifringilla\| \|11 \| goldfinch, Carduelis carduelis\| \|12 \| house finch, linnet, Carpodacus mexicanus\| \|13 \| junco, snowbird\| \|14 \| indigo bunting, indigo finch, indigo bird, Passerina cyanea\| \|15 \| robin, American robin, Turdus migratorius\| \|16 \| bulbul\| \|17 \| jay\| \|18 \| magpie\| \|19 \| chickadee\| \|20 \| water ouzel, dipper\| \|21 \| kite\| \|22 \| bald eagle, American eagle, Haliaeetus leucocephalus\| \|23 \| vulture\| \|24 \| great grey owl, great gray owl, Strix nebulosa\| \|25 \| European fire salamander, Salamandra salamandra\| \|26 \| common newt, Triturus vulgaris\| \|27 \| eft\| \|28 \| spotted salamander, Ambystoma maculatum\| \|29 \| axolotl, mud puppy, Ambystoma mexicanum\| \|30 \| bullfrog, Rana catesbeiana\| \|31 \| tree frog, tree-frog\| \|32 \| tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui\| \|33 \| loggerhead, loggerhead turtle, Caretta caretta\| \|34 \| leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea\| \|35 \| mud turtle\| \|36 \| terrapin\| \|37 \| box turtle, box tortoise\| \|38 \| banded gecko\| \|39 \| common iguana, iguana, Iguana iguana\| \|40 \| American chameleon, anole, Anolis carolinensis\| \|41 \| whiptail, whiptail lizard\| \|42 \| agama\| \|43 \| frilled lizard, Chlamydosaurus kingi\| \|44 \| alligator lizard\| \|45 \| Gila monster, Heloderma suspectum\| \|46 \| green lizard, Lacerta viridis\| \|47 \| African chameleon, Chamaeleo chamaeleon\| \|48 \| Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis\| \|49 \| African crocodile, Nile crocodile, Crocodylus niloticus\| \|50 \| American alligator, Alligator mississipiensis\| \|51 \| triceratops\| \|52 \| thunder snake, worm snake, Carphophis amoenus\| \|53 \| ringneck snake, ring-necked snake, ring snake\| \|54 \| hognose snake, puff adder, sand viper\| \|55 \| green snake, grass snake\| \|56 \| king snake, kingsnake\| \|57 \| garter snake, grass snake\| \|58 \| water snake\| \|59 \| vine snake\| \|60 \| night snake, Hypsiglena torquata\| \|61 \| boa constrictor, Constrictor constrictor\| \|62 \| rock python, rock snake, Python sebae\| \|63 \| Indian cobra, Naja naja\| \|64 \| green mamba\| \|65 \| sea snake\| \|66 \| horned viper, cerastes, sand viper, horned asp, Cerastes cornutus\| \|67 \| diamondback, diamondback rattlesnake, Crotalus adamanteus\| \|68 \| sidewinder, horned rattlesnake, Crotalus cerastes\| \|69 \| trilobite\| \|70 \| harvestman, daddy longlegs, Phalangium opilio\| \|71 \| scorpion\| \|72 \| black and gold garden spider, Argiope aurantia\| \|73 \| barn spider, Araneus cavaticus\| \|74 \| garden spider, Aranea diademata\| \|75 \| black widow, Latrodectus mactans\| \|76 \| tarantula\| \|77 \| wolf spider, hunting spider\| \|78 \| tick\| \|79 \| centipede\| \|80 \| black grouse\| \|81 \| ptarmigan\| \|82 \| ruffed grouse, partridge, Bonasa umbellus\| \|83 \| prairie chicken, prairie grouse, prairie fowl\| \|84 \| peacock\| \|85 \| quail\| \|86 \| partridge\| \|87 \| African grey, African gray, Psittacus erithacus\| \|88 \| macaw\| \|89 \| sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita\| \|90 \| lorikeet\| \|91 \| coucal\| \|92 \| bee eater\| \|93 \| hornbill\| \|94 \| hummingbird\| \|95 \| jacamar\| \|96 \| toucan\| \|97 \| drake\| \|98 \| red-breasted merganser, Mergus serrator\| \|99 \| goose\| \|100 \| black swan, Cygnus atratus\| \|101 \| tusker\| \|102 \| echidna, spiny anteater, anteater\| \|103 \| platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus\| \|104 \| wallaby, brush kangaroo\| \|105 \| koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus\| \|106 \| wombat\| \|107 \| jellyfish\| \|108 \| sea anemone, anemone\| \|109 \| brain coral\| \|110 \| flatworm, platyhelminth\| \|111 \| nematode, nematode worm, roundworm\| \|112 \| conch\| \|113 \| snail\| \|114 \| slug\| \|115 \| sea slug, nudibranch\| \|116 \| chiton, coat-of-mail shell, sea cradle, polyplacophore\| \|117 \| chambered nautilus, pearly nautilus, nautilus\| \|118 \| Dungeness crab, Cancer magister\| \|119 \| rock crab, Cancer irroratus\| \|120 \| fiddler crab\| \|121 \| king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica\| \|122 \| American lobster, Northern lobster, Maine lobster, Homarus americanus\| \|123 \| spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish\| \|124 \| crayfish, crawfish, crawdad, crawdaddy\| \|125 \| hermit crab\| \|126 \| isopod\| \|127 \| white stork, Ciconia ciconia\| \|128 \| black stork, Ciconia nigra\| \|129 \| spoonbill\| \|130 \| flamingo\| \|131 \| little blue heron, Egretta caerulea\| \|132 \| American egret, great white heron, Egretta albus\| \|133 \| bittern\| \|134 \| crane\| \|135 \| limpkin, Aramus pictus\| \|136 \| European gallinule, Porphyrio porphyrio\| \|137 \| American coot, marsh hen, mud hen, water hen, Fulica americana\| \|138 \| bustard\| \|139 \| ruddy turnstone, Arenaria interpres\| \|140 \| red-backed sandpiper, dunlin, Erolia alpina\| \|141 \| redshank, Tringa totanus\| \|142 \| dowitcher\| \|143 \| oystercatcher, oyster catcher\| \|144 \| pelican\| \|145 \| king penguin, Aptenodytes patagonica\| \|146 \| albatross, mollymawk\| \|147 \| grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus\| \|148 \| killer whale, killer, orca, grampus, sea wolf, Orcinus orca\| \|149 \| dugong, Dugong dugon\| \|150 \| sea lion\| \|151 \| Chihuahua\| \|152 \| Japanese spaniel\| \|153 \| Maltese dog, Maltese terrier, Maltese\| \|154 \| Pekinese, Pekingese, Peke\| \|155 \| Shih-Tzu\| \|156 \| Blenheim spaniel\| \|157 \| papillon\| \|158 \| toy terrier\| \|159 \| Rhodesian ridgeback\| \|160 \| Afghan hound, Afghan\| \|161 \| basset, basset hound\| \|162 \| beagle\| \|163 \| bloodhound, sleuthhound\| \|164 \| bluetick\| \|165 \| black-and-tan coonhound\| \|166 \| Walker hound, Walker foxhound\| \|167 \| English foxhound\| \|168 \| redbone\| \|169 \| borzoi, Russian wolfhound\| \|170 \| Irish wolfhound\| \|171 \| Italian greyhound\| \|172 \| whippet\| \|173 \| Ibizan hound, Ibizan Podenco\| \|174 \| Norwegian elkhound, elkhound\| \|175 \| otterhound, otter hound\| \|176 \| Saluki, gazelle hound\| \|177 \| Scottish deerhound, deerhound\| \|178 \| Weimaraner\| \|179 \| Staffordshire bullterrier, Staffordshire bull terrier\| \|180 \| American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier\| \|181 \| Bedlington terrier\| \|182 \| Border terrier\| \|183 \| Kerry blue terrier\| \|184 \| Irish terrier\| \|185 \| Norfolk terrier\| \|186 \| Norwich terrier\| \|187 \| Yorkshire terrier\| \|188 \| wire-haired fox terrier\| \|189 \| Lakeland terrier\| \|190 \| Sealyham terrier, Sealyham\| \|191 \| Airedale, Airedale terrier\| \|192 \| cairn, cairn terrier\| \|193 \| Australian terrier\| \|194 \| Dandie Dinmont, Dandie Dinmont terrier\| \|195 \| Boston bull, Boston terrier\| \|196 \| miniature schnauzer\| \|197 \| giant schnauzer\| \|198 \| standard schnauzer\| \|199 \| Scotch terrier, Scottish terrier, Scottie\| \|200 \| Tibetan terrier, chrysanthemum dog\| \|201 \| silky terrier, Sydney silky\| \|202 \| soft-coated wheaten terrier\| \|203 \| West Highland white terrier\| \|204 \| Lhasa, Lhasa apso\| \|205 \| flat-coated retriever\| \|206 \| curly-coated retriever\| \|207 \| golden retriever\| \|208 \| Labrador retriever\| \|209 \| Chesapeake Bay retriever\| \|210 \| German short-haired pointer\| \|211 \| vizsla, Hungarian pointer\| \|212 \| English setter\| \|213 \| Irish setter, red setter\| \|214 \| Gordon setter\| \|215 \| Brittany spaniel\| \|216 \| clumber, clumber spaniel\| \|217 \| English springer, English springer spaniel\| \|218 \| Welsh springer spaniel\| \|219 \| cocker spaniel, English cocker spaniel, cocker\| \|220 \| Sussex spaniel\| \|221 \| Irish water spaniel\| \|222 \| kuvasz\| \|223 \| schipperke\| \|224 \| groenendael\| \|225 \| malinois\| \|226 \| briard\| \|227 \| kelpie\| \|228 \| komondor\| \|229 \| Old English sheepdog, bobtail\| \|230 \| Shetland sheepdog, Shetland sheep dog, Shetland\| \|231 \| collie\| \|232 \| Border collie\| \|233 \| Bouvier des Flandres, Bouviers des Flandres\| \|234 \| Rottweiler\| \|235 \| German shepherd, German shepherd dog, German police dog, alsatian\| \|236 \| Doberman, Doberman pinscher\| \|237 \| miniature pinscher\| \|238 \| Greater Swiss Mountain dog\| \|239 \| Bernese mountain dog\| \|240 \| Appenzeller\| \|241 \| EntleBucher\| \|242 \| boxer\| \|243 \| bull mastiff\| \|244 \| Tibetan mastiff\| \|245 \| French bulldog\| \|246 \| Great Dane\| \|247 \| Saint Bernard, St Bernard\| \|248 \| Eskimo dog, husky\| \|249 \| malamute, malemute, Alaskan malamute\| \|250 \| Siberian husky\| \|251 \| dalmatian, coach dog, carriage dog\| \|252 \| affenpinscher, monkey pinscher, monkey dog\| \|253 \| basenji\| \|254 \| pug, pug-dog\| \|255 \| Leonberg\| \|256 \| Newfoundland, Newfoundland dog\| \|257 \| Great Pyrenees\| \|258 \| Samoyed, Samoyede\| \|259 \| Pomeranian\| \|260 \| chow, chow chow\| \|261 \| keeshond\| \|262 \| Brabancon griffon\| \|263 \| Pembroke, Pembroke Welsh corgi\| \|264 \| Cardigan, Cardigan Welsh corgi\| \|265 \| toy poodle\| \|266 \| miniature poodle\| \|267 \| standard poodle\| \|268 \| Mexican hairless\| \|269 \| timber wolf, grey wolf, gray wolf, Canis lupus\| \|270 \| white wolf, Arctic wolf, Canis lupus tundrarum\| \|271 \| red wolf, maned wolf, Canis rufus, Canis niger\| \|272 \| coyote, prairie wolf, brush wolf, Canis latrans\| \|273 \| dingo, warrigal, warragal, Canis dingo\| \|274 \| dhole, Cuon alpinus\| \|275 \| African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus\| \|276 \| hyena, hyaena\| \|277 \| red fox, Vulpes vulpes\| \|278 \| kit fox, Vulpes macrotis\| \|279 \| Arctic fox, white fox, Alopex lagopus\| \|280 \| grey fox, gray fox, Urocyon cinereoargenteus\| \|281 \| tabby, tabby cat\| \|282 \| tiger cat\| \|283 \| Persian cat\| \|284 \| Siamese cat, Siamese\| \|285 \| Egyptian cat\| \|286 \| cougar, puma, catamount, mountain lion, painter, panther, Felis concolor\| \|287 \| lynx, catamount\| \|288 \| leopard, Panthera pardus\| \|289 \| snow leopard, ounce, Panthera uncia\| \|290 \| jaguar, panther, Panthera onca, Felis onca\| \|291 \| lion, king of beasts, Panthera leo\| \|292 \| tiger, Panthera tigris\| \|293 \| cheetah, chetah, Acinonyx jubatus\| \|294 \| brown bear, bruin, Ursus arctos\| \|295 \| American black bear, black bear, Ursus americanus, Euarctos americanus\| \|296 \| ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus\| \|297 \| sloth bear, Melursus ursinus, Ursus ursinus\| \|298 \| mongoose\| \|299 \| meerkat, mierkat\| \|300 \| tiger beetle\| \|301 \| ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle\| \|302 \| ground beetle, carabid beetle\| \|303 \| long-horned beetle, longicorn, longicorn beetle\| \|304 \| leaf beetle, chrysomelid\| \|305 \| dung beetle\| \|306 \| rhinoceros beetle\| \|307 \| weevil\| \|308 \| fly\| \|309 \| bee\| \|310 \| ant, emmet, pismire\| \|311 \| grasshopper, hopper\| \|312 \| cricket\| \|313 \| walking stick, walkingstick, stick insect\| \|314 \| cockroach, roach\| \|315 \| mantis, mantid\| \|316 \| cicada, cicala\| \|317 \| leafhopper\| \|318 \| lacewing, lacewing fly\| \|319 \| dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk\| \|320 \| damselfly\| \|321 \| admiral\| \|322 \| ringlet, ringlet butterfly\| \|323 \| monarch, monarch butterfly, milkweed butterfly, Danaus plexippus\| \|324 \| cabbage butterfly\| \|325 \| sulphur butterfly, sulfur butterfly\| \|326 \| lycaenid, lycaenid butterfly\| \|327 \| starfish, sea star\| \|328 \| sea urchin\| \|329 \| sea cucumber, holothurian\| \|330 \| wood rabbit, cottontail, cottontail rabbit\| \|331 \| hare\| \|332 \| Angora, Angora rabbit\| \|333 \| hamster\| \|334 \| porcupine, hedgehog\| \|335 \| fox squirrel, eastern fox squirrel, Sciurus niger\| \|336 \| marmot\| \|337 \| beaver\| \|338 \| guinea pig, Cavia cobaya\| \|339 \| sorrel\| \|340 \| zebra\| \|341 \| hog, pig, grunter, squealer, Sus scrofa\| \|342 \| wild boar, boar, Sus scrofa\| \|343 \| warthog\| \|344 \| hippopotamus, hippo, river horse, Hippopotamus amphibius\| \|345 \| ox\| \|346 \| water buffalo, water ox, Asiatic buffalo, Bubalus bubalis\| \|347 \| bison\| \|348 \| ram, tup\| \|349 \| bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis\| \|350 \| ibex, Capra ibex\| \|351 \| hartebeest\| \|352 \| impala, Aepyceros melampus\| \|353 \| gazelle\| \|354 \| Arabian camel, dromedary, Camelus dromedarius\| \|355 \| llama\| \|356 \| weasel\| \|357 \| mink\| \|358 \| polecat, fitch, foulmart, foumart, Mustela putorius\| \|359 \| black-footed ferret, ferret, Mustela nigripes\| \|360 \| otter\| \|361 \| skunk, polecat, wood pussy\| \|362 \| badger\| \|363 \| armadillo\| \|364 \| three-toed sloth, ai, Bradypus tridactylus\| \|365 \| orangutan, orang, orangutang, Pongo pygmaeus\| \|366 \| gorilla, Gorilla gorilla\| \|367 \| chimpanzee, chimp, Pan troglodytes\| \|368 \| gibbon, Hylobates lar\| \|369 \| siamang, Hylobates syndactylus, Symphalangus syndactylus\| \|370 \| guenon, guenon monkey\| \|371 \| patas, hussar monkey, Erythrocebus patas\| \|372 \| baboon\| \|373 \| macaque\| \|374 \| langur\| \|375 \| colobus, colobus monkey\| \|376 \| proboscis monkey, Nasalis larvatus\| \|377 \| marmoset\| \|378 \| capuchin, ringtail, Cebus capucinus\| \|379 \| howler monkey, howler\| \|380 \| titi, titi monkey\| \|381 \| spider monkey, Ateles geoffroyi\| \|382 \| squirrel monkey, Saimiri sciureus\| \|383 \| Madagascar cat, ring-tailed lemur, Lemur catta\| \|384 \| indri, indris, Indri indri, Indri brevicaudatus\| \|385 \| Indian elephant, Elephas maximus\| \|386 \| African elephant, Loxodonta africana\| \|387 \| lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens\| \|388 \| giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca\| \|389 \| barracouta, snoek\| \|390 \| eel\| \|391 \| coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch\| \|392 \| rock beauty, Holocanthus tricolor\| \|393 \| anemone fish\| \|394 \| sturgeon\| \|395 \| gar, garfish, garpike, billfish, Lepisosteus osseus\| \|396 \| lionfish\| \|397 \| puffer, pufferfish, blowfish, globefish\| \|398 \| abacus\| \|399 \| abaya\| \|400 \| academic gown, academic robe, judge's robe\| \|401 \| accordion, piano accordion, squeeze box\| \|402 \| acoustic guitar\| \|403 \| aircraft carrier, carrier, flattop, attack aircraft carrier\| \|404 \| airliner\| \|405 \| airship, dirigible\| \|406 \| altar\| \|407 \| ambulance\| \|408 \| amphibian, amphibious vehicle\| \|409 \| analog clock\| \|410 \| apiary, bee house\| \|411 \| apron\| \|412 \| ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin\| \|413 \| assault rifle, assault gun\| \|414 \| backpack, back pack, knapsack, packsack, rucksack, haversack\| \|415 \| bakery, bakeshop, bakehouse\| \|416 \| balance beam, beam\| \|417 \| balloon\| \|418 \| ballpoint, ballpoint pen, ballpen, Biro\| \|419 \| Band Aid\| \|420 \| banjo\| \|421 \| bannister, banister, balustrade, balusters, handrail\| \|422 \| barbell\| \|423 \| barber chair\| \|424 \| barbershop\| \|425 \| barn\| \|426 \| barometer\| \|427 \| barrel, cask\| \|428 \| barrow, garden cart, lawn cart, wheelbarrow\| \|429 \| baseball\| \|430 \| basketball\| \|431 \| bassinet\| \|432 \| bassoon\| \|433 \| bathing cap, swimming cap\| \|434 \| bath towel\| \|435 \| bathtub, bathing tub, bath, tub\| \|436 \| beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon\| \|437 \| beacon, lighthouse, beacon light, pharos\| \|438 \| beaker\| \|439 \| bearskin, busby, shako\| \|440 \| beer bottle\| \|441 \| beer glass\| \|442 \| bell cote, bell cot\| \|443 \| bib\| \|444 \| bicycle-built-for-two, tandem bicycle, tandem\| \|445 \| bikini, two-piece\| \|446 \| binder, ring-binder\| \|447 \| binoculars, field glasses, opera glasses\| \|448 \| birdhouse\| \|449 \| boathouse\| \|450 \| bobsled, bobsleigh, bob\| \|451 \| bolo tie, bolo, bola tie, bola\| \|452 \| bonnet, poke bonnet\| \|453 \| bookcase\| \|454 \| bookshop, bookstore, bookstall\| \|455 \| bottlecap\| \|456 \| bow\| \|457 \| bow tie, bow-tie, bowtie\| \|458 \| brass, memorial tablet, plaque\| \|459 \| brassiere, bra, bandeau\| \|460 \| breakwater, groin, groyne, mole, bulwark, seawall, jetty\| \|461 \| breastplate, aegis, egis\| \|462 \| broom\| \|463 \| bucket, pail\| \|464 \| buckle\| \|465 \| bulletproof vest\| \|466 \| bullet train, bullet\| \|467 \| butcher shop, meat market\| \|468 \| cab, hack, taxi, taxicab\| \|469 \| caldron, cauldron\| \|470 \| candle, taper, wax light\| \|471 \| cannon\| \|472 \| canoe\| \|473 \| can opener, tin opener\| \|474 \| cardigan\| \|475 \| car mirror\| \|476 \| carousel, carrousel, merry-go-round, roundabout, whirligig\| \|477 \| carpenter's kit, tool kit\| \|478 \| carton\| \|479 \| car wheel\| \|480 \| cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM\| \|481 \| cassette\| \|482 \| cassette player\| \|483 \| castle\| \|484 \| catamaran\| \|485 \| CD player\| \|486 \| cello, violoncello\| \|487 \| cellular telephone, cellular phone, cellphone, cell, mobile phone\| \|488 \| chain\| \|489 \| chainlink fence\| \|490 \| chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour\| \|491 \| chain saw, chainsaw\| \|492 \| chest\| \|493 \| chiffonier, commode\| \|494 \| chime, bell, gong\| \|495 \| china cabinet, china closet\| \|496 \| Christmas stocking\| \|497 \| church, church building\| \|498 \| cinema, movie theater, movie theatre, movie house, picture palace\| \|499 \| cleaver, meat cleaver, chopper\| \|500 \| cliff dwelling\| \|501 \| cloak\| \|502 \| clog, geta, patten, sabot\| \|503 \| cocktail shaker\| \|504 \| coffee mug\| \|505 \| coffeepot\| \|506 \| coil, spiral, volute, whorl, helix\| \|507 \| combination lock\| \|508 \| computer keyboard, keypad\| \|509 \| confectionery, confectionary, candy store\| \|510 \| container ship, containership, container vessel\| \|511 \| convertible\| \|512 \| corkscrew, bottle screw\| \|513 \| cornet, horn, trumpet, trump\| \|514 \| cowboy boot\| \|515 \| cowboy hat, ten-gallon hat\| \|516 \| cradle\| \|517 \| crane_1\| \|518 \| crash helmet\| \|519 \| crate\| \|520 \| crib, cot\| \|521 \| Crock Pot\| \|522 \| croquet ball\| \|523 \| crutch\| \|524 \| cuirass\| \|525 \| dam, dike, dyke\| \|526 \| desk\| \|527 \| desktop computer\| \|528 \| dial telephone, dial phone\| \|529 \| diaper, nappy, napkin\| \|530 \| digital clock\| \|531 \| digital watch\| \|532 \| dining table, board\| \|533 \| dishrag, dishcloth\| \|534 \| dishwasher, dish washer, dishwashing machine\| \|535 \| disk brake, disc brake\| \|536 \| dock, dockage, docking facility\| \|537 \| dogsled, dog sled, dog sleigh\| \|538 \| dome\| \|539 \| doormat, welcome mat\| \|540 \| drilling platform, offshore rig\| \|541 \| drum, membranophone, tympan\| \|542 \| drumstick\| \|543 \| dumbbell\| \|544 \| Dutch oven\| \|545 \| electric fan, blower\| \|546 \| electric guitar\| \|547 \| electric locomotive\| \|548 \| entertainment center\| \|549 \| envelope\| \|550 \| espresso maker\| \|551 \| face powder\| \|552 \| feather boa, boa\| \|553 \| file, file cabinet, filing cabinet\| \|554 \| fireboat\| \|555 \| fire engine, fire truck\| \|556 \| fire screen, fireguard\| \|557 \| flagpole, flagstaff\| \|558 \| flute, transverse flute\| \|559 \| folding chair\| \|560 \| football helmet\| \|561 \| forklift\| \|562 \| fountain\| \|563 \| fountain pen\| \|564 \| four-poster\| \|565 \| freight car\| \|566 \| French horn, horn\| \|567 \| frying pan, frypan, skillet\| \|568 \| fur coat\| \|569 \| garbage truck, dustcart\| \|570 \| gasmask, respirator, gas helmet\| \|571 \| gas pump, gasoline pump, petrol pump, island dispenser\| \|572 \| goblet\| \|573 \| go-kart\| \|574 \| golf ball\| \|575 \| golfcart, golf cart\| \|576 \| gondola\| \|577 \| gong, tam-tam\| \|578 \| gown\| \|579 \| grand piano, grand\| \|580 \| greenhouse, nursery, glasshouse\| \|581 \| grille, radiator grille\| \|582 \| grocery store, grocery, food market, market\| \|583 \| guillotine\| \|584 \| hair slide\| \|585 \| hair spray\| \|586 \| half track\| \|587 \| hammer\| \|588 \| hamper\| \|589 \| hand blower, blow dryer, blow drier, hair dryer, hair drier\| \|590 \| hand-held computer, hand-held microcomputer\| \|591 \| handkerchief, hankie, hanky, hankey\| \|592 \| hard disc, hard disk, fixed disk\| \|593 \| harmonica, mouth organ, harp, mouth harp\| \|594 \| harp\| \|595 \| harvester, reaper\| \|596 \| hatchet\| \|597 \| holster\| \|598 \| home theater, home theatre\| \|599 \| honeycomb\| \|600 \| hook, claw\| \|601 \| hoopskirt, crinoline\| \|602 \| horizontal bar, high bar\| \|603 \| horse cart, horse-cart\| \|604 \| hourglass\| \|605 \| iPod\| \|606 \| iron, smoothing iron\| \|607 \| jack-o'-lantern\| \|608 \| jean, blue jean, denim\| \|609 \| jeep, landrover\| \|610 \| jersey, T-shirt, tee shirt\| \|611 \| jigsaw puzzle\| \|612 \| jinrikisha, ricksha, rickshaw\| \|613 \| joystick\| \|614 \| kimono\| \|615 \| knee pad\| \|616 \| knot\| \|617 \| lab coat, laboratory coat\| \|618 \| ladle\| \|619 \| lampshade, lamp shade\| \|620 \| laptop, laptop computer\| \|621 \| lawn mower, mower\| \|622 \| lens cap, lens cover\| \|623 \| letter opener, paper knife, paperknife\| \|624 \| library\| \|625 \| lifeboat\| \|626 \| lighter, light, igniter, ignitor\| \|627 \| limousine, limo\| \|628 \| liner, ocean liner\| \|629 \| lipstick, lip rouge\| \|630 \| Loafer\| \|631 \| lotion\| \|632 \| loudspeaker, speaker, speaker unit, loudspeaker system, speaker system\| \|633 \| loupe, jeweler's loupe\| \|634 \| lumbermill, sawmill\| \|635 \| magnetic compass\| \|636 \| mailbag, postbag\| \|637 \| mailbox, letter box\| \|638 \| maillot\| \|639 \| maillot, tank suit\| \|640 \| manhole cover\| \|641 \| maraca\| \|642 \| marimba, xylophone\| \|643 \| mask\| \|644 \| matchstick\| \|645 \| maypole\| \|646 \| maze, labyrinth\| \|647 \| measuring cup\| \|648 \| medicine chest, medicine cabinet\| \|649 \| megalith, megalithic structure\| \|650 \| microphone, mike\| \|651 \| microwave, microwave oven\| \|652 \| military uniform\| \|653 \| milk can\| \|654 \| minibus\| \|655 \| miniskirt, mini\| \|656 \| minivan\| \|657 \| missile\| \|658 \| mitten\| \|659 \| mixing bowl\| \|660 \| mobile home, manufactured home\| \|661 \| Model T\| \|662 \| modem\| \|663 \| monastery\| \|664 \| monitor\| \|665 \| moped\| \|666 \| mortar\| \|667 \| mortarboard\| \|668 \| mosque\| \|669 \| mosquito net\| \|670 \| motor scooter, scooter\| \|671 \| mountain bike, all-terrain bike, off-roader\| \|672 \| mountain tent\| \|673 \| mouse, computer mouse\| \|674 \| mousetrap\| \|675 \| moving van\| \|676 \| muzzle\| \|677 \| nail\| \|678 \| neck brace\| \|679 \| necklace\| \|680 \| nipple\| \|681 \| notebook, notebook computer\| \|682 \| obelisk\| \|683 \| oboe, hautboy, hautbois\| \|684 \| ocarina, sweet potato\| \|685 \| odometer, hodometer, mileometer, milometer\| \|686 \| oil filter\| \|687 \| organ, pipe organ\| \|688 \| oscilloscope, scope, cathode-ray oscilloscope, CRO\| \|689 \| overskirt\| \|690 \| oxcart\| \|691 \| oxygen mask\| \|692 \| packet\| \|693 \| paddle, boat paddle\| \|694 \| paddlewheel, paddle wheel\| \|695 \| padlock\| \|696 \| paintbrush\| \|697 \| pajama, pyjama, pj's, jammies\| \|698 \| palace\| \|699 \| panpipe, pandean pipe, syrinx\| \|700 \| paper towel\| \|701 \| parachute, chute\| \|702 \| parallel bars, bars\| \|703 \| park bench\| \|704 \| parking meter\| \|705 \| passenger car, coach, carriage\| \|706 \| patio, terrace\| \|707 \| pay-phone, pay-station\| \|708 \| pedestal, plinth, footstall\| \|709 \| pencil box, pencil case\| \|710 \| pencil sharpener\| \|711 \| perfume, essence\| \|712 \| Petri dish\| \|713 \| photocopier\| \|714 \| pick, plectrum, plectron\| \|715 \| pickelhaube\| \|716 \| picket fence, paling\| \|717 \| pickup, pickup truck\| \|718 \| pier\| \|719 \| piggy bank, penny bank\| \|720 \| pill bottle\| \|721 \| pillow\| \|722 \| ping-pong ball\| \|723 \| pinwheel\| \|724 \| pirate, pirate ship\| \|725 \| pitcher, ewer\| \|726 \| plane, carpenter's plane, woodworking plane\| \|727 \| planetarium\| \|728 \| plastic bag\| \|729 \| plate rack\| \|730 \| plow, plough\| \|731 \| plunger, plumber's helper\| \|732 \| Polaroid camera, Polaroid Land camera\| \|733 \| pole\| \|734 \| police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria\| \|735 \| poncho\| \|736 \| pool table, billiard table, snooker table\| \|737 \| pop bottle, soda bottle\| \|738 \| pot, flowerpot\| \|739 \| potter's wheel\| \|740 \| power drill\| \|741 \| prayer rug, prayer mat\| \|742 \| printer\| \|743 \| prison, prison house\| \|744 \| projectile, missile\| \|745 \| projector\| \|746 \| puck, hockey puck\| \|747 \| punching bag, punch bag, punching ball, punchball\| \|748 \| purse\| \|749 \| quill, quill pen\| \|750 \| quilt, comforter, comfort, puff\| \|751 \| racer, race car, racing car\| \|752 \| racket, racquet\| \|753 \| radiator\| \|754 \| radio, wireless\| \|755 \| radio telescope, radio reflector\| \|756 \| rain barrel\| \|757 \| recreational vehicle, RV, R.V.\| \|758 \| reel\| \|759 \| reflex camera\| \|760 \| refrigerator, icebox\| \|761 \| remote control, remote\| \|762 \| restaurant, eating house, eating place, eatery\| \|763 \| revolver, six-gun, six-shooter\| \|764 \| rifle\| \|765 \| rocking chair, rocker\| \|766 \| rotisserie\| \|767 \| rubber eraser, rubber, pencil eraser\| \|768 \| rugby ball\| \|769 \| rule, ruler\| \|770 \| running shoe\| \|771 \| safe\| \|772 \| safety pin\| \|773 \| saltshaker, salt shaker\| \|774 \| sandal\| \|775 \| sarong\| \|776 \| sax, saxophone\| \|777 \| scabbard\| \|778 \| scale, weighing machine\| \|779 \| school bus\| \|780 \| schooner\| \|781 \| scoreboard\| \|782 \| screen, CRT screen\| \|783 \| screw\| \|784 \| screwdriver\| \|785 \| seat belt, seatbelt\| \|786 \| sewing machine\| \|787 \| shield, buckler\| \|788 \| shoe shop, shoe-shop, shoe store\| \|789 \| shoji\| \|790 \| shopping basket\| \|791 \| shopping cart\| \|792 \| shovel\| \|793 \| shower cap\| \|794 \| shower curtain\| \|795 \| ski\| \|796 \| ski mask\| \|797 \| sleeping bag\| \|798 \| slide rule, slipstick\| \|799 \| sliding door\| \|800 \| slot, one-armed bandit\| \|801 \| snorkel\| \|802 \| snowmobile\| \|803 \| snowplow, snowplough\| \|804 \| soap dispenser\| \|805 \| soccer ball\| \|806 \| sock\| \|807 \| solar dish, solar collector, solar furnace\| \|808 \| sombrero\| \|809 \| soup bowl\| \|810 \| space bar\| \|811 \| space heater\| \|812 \| space shuttle\| \|813 \| spatula\| \|814 \| speedboat\| \|815 \| spider web, spider's web\| \|816 \| spindle\| \|817 \| sports car, sport car\| \|818 \| spotlight, spot\| \|819 \| stage\| \|820 \| steam locomotive\| \|821 \| steel arch bridge\| \|822 \| steel drum\| \|823 \| stethoscope\| \|824 \| stole\| \|825 \| stone wall\| \|826 \| stopwatch, stop watch\| \|827 \| stove\| \|828 \| strainer\| \|829 \| streetcar, tram, tramcar, trolley, trolley car\| \|830 \| stretcher\| \|831 \| studio couch, day bed\| \|832 \| stupa, tope\| \|833 \| submarine, pigboat, sub, U-boat\| \|834 \| suit, suit of clothes\| \|835 \| sundial\| \|836 \| sunglass\| \|837 \| sunglasses, dark glasses, shades\| \|838 \| sunscreen, sunblock, sun blocker\| \|839 \| suspension bridge\| \|840 \| swab, swob, mop\| \|841 \| sweatshirt\| \|842 \| swimming trunks, bathing trunks\| \|843 \| swing\| \|844 \| switch, electric switch, electrical switch\| \|845 \| syringe\| \|846 \| table lamp\| \|847 \| tank, army tank, armored combat vehicle, armoured combat vehicle\| \|848 \| tape player\| \|849 \| teapot\| \|850 \| teddy, teddy bear\| \|851 \| television, television system\| \|852 \| tennis ball\| \|853 \| thatch, thatched roof\| \|854 \| theater curtain, theatre curtain\| \|855 \| thimble\| \|856 \| thresher, thrasher, threshing machine\| \|857 \| throne\| \|858 \| tile roof\| \|859 \| toaster\| \|860 \| tobacco shop, tobacconist shop, tobacconist\| \|861 \| toilet seat\| \|862 \| torch\| \|863 \| totem pole\| \|864 \| tow truck, tow car, wrecker\| \|865 \| toyshop\| \|866 \| tractor\| \|867 \| trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi\| \|868 \| tray\| \|869 \| trench coat\| \|870 \| tricycle, trike, velocipede\| \|871 \| trimaran\| \|872 \| tripod\| \|873 \| triumphal arch\| \|874 \| trolleybus, trolley coach, trackless trolley\| \|875 \| trombone\| \|876 \| tub, vat\| \|877 \| turnstile\| \|878 \| typewriter keyboard\| \|879 \| umbrella\| \|880 \| unicycle, monocycle\| \|881 \| upright, upright piano\| \|882 \| vacuum, vacuum cleaner\| \|883 \| vase\| \|884 \| vault\| \|885 \| velvet\| \|886 \| vending machine\| \|887 \| vestment\| \|888 \| viaduct\| \|889 \| violin, fiddle\| \|890 \| volleyball\| \|891 \| waffle iron\| \|892 \| wall clock\| \|893 \| wallet, billfold, notecase, pocketbook\| \|894 \| wardrobe, closet, press\| \|895 \| warplane, military plane\| \|896 \| washbasin, handbasin, washbowl, lavabo, wash-hand basin\| \|897 \| washer, automatic washer, washing machine\| \|898 \| water bottle\| \|899 \| water jug\| \|900 \| water tower\| \|901 \| whiskey jug\| \|902 \| whistle\| \|903 \| wig\| \|904 \| window screen\| \|905 \| window shade\| \|906 \| Windsor tie\| \|907 \| wine bottle\| \|908 \| wing\| \|909 \| wok\| \|910 \| wooden spoon\| \|911 \| wool, woolen, woollen\| \|912 \| worm fence, snake fence, snake-rail fence, Virginia fence\| \|913 \| wreck\| \|914 \| yawl\| \|915 \| yurt\| \|916 \| web site, website, internet site, site\| \|917 \| comic book\| \|918 \| crossword puzzle, crossword\| \|919 \| street sign\| \|920 \| traffic light, traffic signal, stoplight\| \|921 \| book jacket, dust cover, dust jacket, dust wrapper\| \|922 \| menu\| \|923 \| plate\| \|924 \| guacamole\| \|925 \| consomme\| \|926 \| hot pot, hotpot\| \|927 \| trifle\| \|928 \| ice cream, icecream\| \|929 \| ice lolly, lolly, lollipop, popsicle\| \|930 \| French loaf\| \|931 \| bagel, beigel\| \|932 \| pretzel\| \|933 \| cheeseburger\| \|934 \| hotdog, hot dog, red hot\| \|935 \| mashed potato\| \|936 \| head cabbage\| \|937 \| broccoli\| \|938 \| cauliflower\| \|939 \| zucchini, courgette\| \|940 \| spaghetti squash\| \|941 \| acorn squash\| \|942 \| butternut squash\| \|943 \| cucumber, cuke\| \|944 \| artichoke, globe artichoke\| \|945 \| bell pepper\| \|946 \| cardoon\| \|947 \| mushroom\| \|948 \| Granny Smith\| \|949 \| strawberry\| \|950 \| orange\| \|951 \| lemon\| \|952 \| fig\| \|953 \| pineapple, ananas\| \|954 \| banana\| \|955 \| jackfruit, jak, jack\| \|956 \| custard apple\| \|957 \| pomegranate\| \|958 \| hay\| \|959 \| carbonara\| \|960 \| chocolate sauce, chocolate syrup\| \|961 \| dough\| \|962 \| meat loaf, meatloaf\| \|963 \| pizza, pizza pie\| \|964 \| potpie\| \|965 \| burrito\| \|966 \| red wine\| \|967 \| espresso\| \|968 \| cup\| \|969 \| eggnog\| \|970 \| alp\| \|971 \| bubble\| \|972 \| cliff, drop, drop-off\| \|973 \| coral reef\| \|974 \| geyser\| \|975 \| lakeside, lakeshore\| \|976 \| promontory, headland, head, foreland\| \|977 \| sandbar, sand bar\| \|978 \| seashore, coast, seacoast, sea-coast\| \|979 \| valley, vale\| \|980 \| volcano\| \|981 \| ballplayer, baseball player\| \|982 \| groom, bridegroom\| \|983 \| scuba diver\| \|984 \| rapeseed\| \|985 \| daisy\| \|986 \| yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum\| \|987 \| corn\| \|988 \| acorn\| \|989 \| hip, rose hip, rosehip\| \|990 \| buckeye, horse chestnut, conker\| \|991 \| coral fungus\| \|992 \| agaric\| \|993 \| gyromitra\| \|994 \| stinkhorn, carrion fungus\| \|995 \| earthstar\| \|996 \| hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa\| \|997 \| bolete\| \|998 \| ear, spike, capitulum\| \|999 \| toilet tissue, toilet paper, bathroom tissue\| </details> ### Data Splits This dataset is a validation-only set. ## Dataset Creation ### Source Data This dataset is sourced from ImageNet, ImageNet-ReaL, ImageNet-V2, ImageNet-A, ImageNet-C, ImageNet-R, ImageNet-Sketch, and ObjectNet. ## Citation Information ``` @article{taesiri2023zoom, title={ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification}, author={Taesiri, Mohammad Reza and Nguyen, Giang and Habchi, Sarra and Bezemer, Cor-Paul and Nguyen, Anh}, journal={arXiv preprint arXiv:2304.05538}, year={2023} } ```
philikai/spider_SQL_PALM_Prompt	--- license: cc-by-sa-4.0 --- Dataset for creating prompts for fine-tuning on Spider Dataset with Foreign and Primary Key Information as well as Schema information.
veroinesc/test1	--- license: unknown ---
isaiahbjork/alpaca-function-calling-json	--- license: mit ---
silviaarellano/heightmaps	--- license: mit task_categories: - image-to-image tags: - maps - heightmaps ---
rastogi/FNS	--- language: - en ---
Chris126/guanaco-llama2-1k	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 0 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "guanaco-llama2-1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
thangvip/luat-2020-2023	--- dataset_info: features: - name: content dtype: string - name: citation dtype: string - name: meta struct: - name: effective_date dtype: string - name: issuing_agency dtype: string - name: promulgation_date dtype: string - name: sign_number dtype: string - name: signer dtype: string - name: type dtype: string - name: url dtype: string - name: text dtype: string splits: - name: luat num_bytes: 7414708.290523045 num_examples: 2698 download_size: 3681024 dataset_size: 7414708.290523045 configs: - config_name: default data_files: - split: luat path: data/luat-* ---
infinilabs/app-downloading-logs-nginx-dataset	--- license: apache-2.0 --- # Summary This dataset can be freely used for AI research. ``` root@infini:/# cat infini-release.log \|wc -l 1550474 root@infini:/# head -n 10 infini-release.log 175.10.73.78 - - [16/Mar/2022:15:36:35 +0800] "GET / HTTP/1.1" 200 331 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:36 +0800] "GET / HTTP/1.1" 200 331 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:36 +0800] "GET / HTTP/1.1" 200 331 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:37 +0800] "GET /gateway/ HTTP/1.1" 200 331 "http://release.infinilabs.com/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:37 +0800] "GET /gateway/stable/ HTTP/1.1" 200 319 "http://release.infinilabs.com/gateway/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:38 +0800] "GET /gateway/stable/archive/ HTTP/1.1" 200 345 "http://release.infinilabs.com/gateway/stable/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:39 +0800] "GET /gateway/stable/ HTTP/1.1" 200 319 "http://release.infinilabs.com/gateway/stable/archive/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:39 +0800] "GET /gateway/ HTTP/1.1" 200 331 "http://release.infinilabs.com/gateway/stable/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:40 +0800] "GET /gateway/snapshot/ HTTP/1.1" 200 567 "http://release.infinilabs.com/gateway/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:41 +0800] "GET /gateway/ HTTP/1.1" 200 331 "http://release.infinilabs.com/gateway/snapshot/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" ``` # License The dataset is licensed under the Apache 2.0 license agreement. # Contact - [http://infinilabs.com](http://infinilabs.com) - hello#infini.ltd
jinho8345/funsd-bioes	--- dataset_info: features: - name: img dtype: image - name: labels sequence: string - name: words sequence: string - name: bboxes sequence: sequence: int64 - name: filename dtype: string splits: - name: train num_bytes: 13281297.0 num_examples: 149 - name: val num_bytes: 4777640.0 num_examples: 50 download_size: 16636452 dataset_size: 18058937.0 --- # Dataset Card for "funsd-bies" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Team-PIXEL/PIXELSum_uk_wiki_for_TA	--- license: apache-2.0 dataset_info: features: - name: text struct: - name: bytes dtype: binary - name: path dtype: 'null' - name: target dtype: string - name: num_text_patches dtype: int64 splits: - name: train num_bytes: 40401004873 num_examples: 3968117 download_size: 38963135270 dataset_size: 40401004873 configs: - config_name: default data_files: - split: train path: data/train-* ---
Norod78/cartoon-blip-captions	--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 190959102.953 num_examples: 3141 download_size: 190279356 dataset_size: 190959102.953 pretty_name: 'Cartoon BLIP captions' size_categories: - n<1K tags: [] task_categories: - text-to-image license: cc-by-nc-sa-4.0 annotations_creators: - machine-generated language: - en language_creators: - other multilinguality: - monolingual --- # Dataset Card for "cartoon-blip-captions"
torchgeo/l7irish	--- task_categories: - image-segmentation tags: - climate pretty_name: L7 Irish size_categories: - n<1K license: cc0-1.0 --- Redistribution of data from https://www.sciencebase.gov/catalog/item/573ccf18e4b0dae0d5e4b109. Some files renamed for consistency. Corrupted or missing files replaced with data from https://landsat.usgs.gov/landsat-7-cloud-cover-assessment-validation-data. Landsat Data Distribution Policy: https://www.usgs.gov/media/files/landsat-data-distribution-policy
japanese-asr/whisper_transcriptions.reazonspeech.large.wer_10.0.vectorized	--- dataset_info: config_name: large features: - name: input_length dtype: int64 - name: labels sequence: int64 - name: input_features sequence: sequence: float32 splits: - name: train num_bytes: 1602595794864 num_examples: 1042883 download_size: 296247756094 dataset_size: 1602595794864 configs: - config_name: large data_files: - split: train path: large/train-* ---
Dmenorsz/mckevin	--- license: openrail ---
chloeliu/reddit_nosleep_posts	--- license: unknown ---
jungledude23/llama-subtitle-mini	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 980853 num_examples: 447 download_size: 184428 dataset_size: 980853 configs: - config_name: default data_files: - split: train path: data/train-* ---
sayakpaul/ucf101-subset	--- license: apache-2.0 --- This dataset repository contains a subset of the UCF-101 dataset [1]. The subset archive was obtained using the code from [this guide](https://www.tensorflow.org/tutorials/load_data/video). ### References [1] UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild, https://arxiv.org/abs/1212.0402.
abhishek-mungoli/srk_wittiness	--- license: cc --- # Shah Rukh Khan Wittiness Reply DataSet Shah Rukh Khan is known for his wit, humor, and charm. I have carefully crafted some questions and imagined how SRK would have replied to them using Chat-GPT. You can use this data to train a smaller open-source language model or for any other use case you have in mind.
BatsResearch/sib200-LexC-Gen	--- language: - tum - ee - ln - fj - ts - bm - sg - ak - lus - gn multilinguality: - multilingual size_categories: - 10K<n<100K task_categories: - text-classification task_ids: - topic-classification tags: - news-topic - sib-200 - sib200 - synthetic dataset_info: - config_name: ak_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3587478 num_examples: 22062 - name: validation num_bytes: 14755 num_examples: 99 download_size: 2185047 dataset_size: 3602233 - config_name: ak_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 370304 num_examples: 2271 - name: validation num_bytes: 14755 num_examples: 99 download_size: 239976 dataset_size: 385059 - config_name: ak_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 36361 num_examples: 229 - name: validation num_bytes: 14755 num_examples: 99 download_size: 37326 dataset_size: 51116 - config_name: bm_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3796341 num_examples: 19972 - name: validation num_bytes: 15791 num_examples: 99 download_size: 2248093 dataset_size: 3812132 - config_name: bm_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 385755 num_examples: 2257 - name: validation num_bytes: 15791 num_examples: 99 download_size: 245275 dataset_size: 401546 - config_name: bm_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 39450 num_examples: 201 - name: validation num_bytes: 15791 num_examples: 99 download_size: 39023 dataset_size: 55241 - config_name: ee_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3845466 num_examples: 22352 - name: validation num_bytes: 15477 num_examples: 99 download_size: 2312846 dataset_size: 3860943 - config_name: ee_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 385266 num_examples: 2230 - name: validation num_bytes: 15477 num_examples: 99 download_size: 245696 dataset_size: 400743 - config_name: ee_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 43044 num_examples: 252 - name: validation num_bytes: 15477 num_examples: 99 download_size: 41559 dataset_size: 58521 - config_name: fj_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3720751 num_examples: 22343 - name: validation num_bytes: 15135 num_examples: 99 download_size: 2211095 dataset_size: 3735886 - config_name: fj_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 367761 num_examples: 2224 - name: validation num_bytes: 15135 num_examples: 99 download_size: 231436 dataset_size: 382896 - config_name: fj_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 37902 num_examples: 228 - name: validation num_bytes: 15135 num_examples: 99 download_size: 38113 dataset_size: 53037 - config_name: gn_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 4493339 num_examples: 22231 - name: validation num_bytes: 17407 num_examples: 99 download_size: 2430340 dataset_size: 4510746 - config_name: gn_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 453561 num_examples: 2229 - name: validation num_bytes: 17407 num_examples: 99 download_size: 258889 dataset_size: 470968 - config_name: gn_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 45320 num_examples: 217 - name: validation num_bytes: 17407 num_examples: 99 download_size: 40876 dataset_size: 62727 - config_name: ln_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3925088 num_examples: 22445 - name: validation num_bytes: 15683 num_examples: 99 download_size: 2255900 dataset_size: 3940771 - config_name: ln_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 393944 num_examples: 2231 - name: validation num_bytes: 15683 num_examples: 99 download_size: 240507 dataset_size: 409627 - config_name: ln_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 38076 num_examples: 223 - name: validation num_bytes: 15683 num_examples: 99 download_size: 37096 dataset_size: 53759 - config_name: lus_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3807289 num_examples: 22331 - name: validation num_bytes: 15417 num_examples: 99 download_size: 2266155 dataset_size: 3822706 - config_name: lus_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 386103 num_examples: 2266 - name: validation num_bytes: 15417 num_examples: 99 download_size: 244118 dataset_size: 401520 - config_name: lus_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 37926 num_examples: 218 - name: validation num_bytes: 15417 num_examples: 99 download_size: 37815 dataset_size: 53343 - config_name: sg_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3843121 num_examples: 21752 - name: validation num_bytes: 15569 num_examples: 99 download_size: 2211613 dataset_size: 3858690 - config_name: sg_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 387784 num_examples: 2203 - name: validation num_bytes: 15569 num_examples: 99 download_size: 237669 dataset_size: 403353 - config_name: sg_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 37561 num_examples: 212 - name: validation num_bytes: 15569 num_examples: 99 download_size: 37004 dataset_size: 53130 - config_name: ts_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3661185 num_examples: 20069 - name: validation num_bytes: 15126 num_examples: 99 download_size: 2290947 dataset_size: 3676311 - config_name: ts_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 377366 num_examples: 2079 - name: validation num_bytes: 15126 num_examples: 99 download_size: 251583 dataset_size: 392492 - config_name: ts_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 35059 num_examples: 188 - name: validation num_bytes: 15126 num_examples: 99 download_size: 37964 dataset_size: 50185 - config_name: tum_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 4117789 num_examples: 21667 - name: validation num_bytes: 15922 num_examples: 99 download_size: 2480890 dataset_size: 4133711 - config_name: tum_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 415921 num_examples: 2344 - name: validation num_bytes: 15922 num_examples: 99 download_size: 262403 dataset_size: 431843 - config_name: tum_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 39665 num_examples: 209 - name: validation num_bytes: 15922 num_examples: 99 download_size: 39937 dataset_size: 55587 configs: - config_name: ak_100k data_files: - split: train path: ak_100k/train-* - split: validation path: ak_100k/validation-* - config_name: ak_10k data_files: - split: train path: ak_10k/train-* - split: validation path: ak_10k/validation-* - config_name: ak_1k data_files: - split: train path: ak_1k/train-* - split: validation path: ak_1k/validation-* - config_name: bm_100k data_files: - split: train path: bm_100k/train-* - split: validation path: bm_100k/validation-* - config_name: bm_10k data_files: - split: train path: bm_10k/train-* - split: validation path: bm_10k/validation-* - config_name: bm_1k data_files: - split: train path: bm_1k/train-* - split: validation path: bm_1k/validation-* - config_name: ee_100k data_files: - split: train path: ee_100k/train-* - split: validation path: ee_100k/validation-* - config_name: ee_10k data_files: - split: train path: ee_10k/train-* - split: validation path: ee_10k/validation-* - config_name: ee_1k data_files: - split: train path: ee_1k/train-* - split: validation path: ee_1k/validation-* - config_name: fj_100k data_files: - split: train path: fj_100k/train-* - split: validation path: fj_100k/validation-* - config_name: fj_10k data_files: - split: train path: fj_10k/train-* - split: validation path: fj_10k/validation-* - config_name: fj_1k data_files: - split: train path: fj_1k/train-* - split: validation path: fj_1k/validation-* - config_name: gn_100k data_files: - split: train path: gn_100k/train-* - split: validation path: gn_100k/validation-* - config_name: gn_10k data_files: - split: train path: gn_10k/train-* - split: validation path: gn_10k/validation-* - config_name: gn_1k data_files: - split: train path: gn_1k/train-* - split: validation path: gn_1k/validation-* - config_name: ln_100k data_files: - split: train path: ln_100k/train-* - split: validation path: ln_100k/validation-* - config_name: ln_10k data_files: - split: train path: ln_10k/train-* - split: validation path: ln_10k/validation-* - config_name: ln_1k data_files: - split: train path: ln_1k/train-* - split: validation path: ln_1k/validation-* - config_name: lus_100k data_files: - split: train path: lus_100k/train-* - split: validation path: lus_100k/validation-* - config_name: lus_10k data_files: - split: train path: lus_10k/train-* - split: validation path: lus_10k/validation-* - config_name: lus_1k data_files: - split: train path: lus_1k/train-* - split: validation path: lus_1k/validation-* - config_name: sg_100k data_files: - split: train path: sg_100k/train-* - split: validation path: sg_100k/validation-* - config_name: sg_10k data_files: - split: train path: sg_10k/train-* - split: validation path: sg_10k/validation-* - config_name: sg_1k data_files: - split: train path: sg_1k/train-* - split: validation path: sg_1k/validation-* - config_name: ts_100k data_files: - split: train path: ts_100k/train-* - split: validation path: ts_100k/validation-* - config_name: ts_10k data_files: - split: train path: ts_10k/train-* - split: validation path: ts_10k/validation-* - config_name: ts_1k data_files: - split: train path: ts_1k/train-* - split: validation path: ts_1k/validation-* - config_name: tum_100k data_files: - split: train path: tum_100k/train-* - split: validation path: tum_100k/validation-* - config_name: tum_10k data_files: - split: train path: tum_10k/train-* - split: validation path: tum_10k/validation-* - config_name: tum_1k data_files: - split: train path: tum_1k/train-* - split: validation path: tum_1k/validation-* pretty_name: LexC-Gen generated data for SIB-200 --- # Dataset Card for sib200-LexC-Gen ## 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) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: [Project Page](https://batsresearch.github.io/lexcgen/) - Repository: [Github Repo](https://github.com/BatsResearch/LexC-Gen) - Paper: [Arxiv](https://arxiv.org/abs/2402.14086) - Point of Contact: [Zheng-Xin Yong](mailto:contact.yong@brown.edu) ### Dataset Summary The LexC-Gen dataset for [SIB-200 topic classification](https://huggingface.co/datasets/Davlan/sib200) task is a dataset generated for low-resource languages at scale with Large Language Models ([BLOOMZ-7.1B](https://arxiv.org/abs/2211.01786)) and [Gatitos bilingual lexicons](https://aclanthology.org/2023.emnlp-main.26/). ```python3 from datasets import load_dataset dataset = load_dataset("BatsResearch/sib200-LexC-Gen", "gn_100k") ``` ### Supported Tasks and Leaderboards - `text-classification`, `topic-classification`: The dataset can be used to train a model for topic classification. The model performance is evaluated based on the accuracy of the predicted labels as compared to the given labels in the dataset. ### Languages The text cover 10 extremely low-resource languages: - Tumbuka (`tum`) - Ewe (`ee`) - Lingala (`ln`) - Fijian (`fj`) - Tsonga (`ts`) - Bambara (`bm`) - Sango (`sg`) - Twi (`ak`) - Mizo (`lus`) - Guarani (`gn`) ## Dataset Structure ### Data Instances Each data instance contains the following features: _id_, _text_ and _label_. The _label_ has 7 possible values (0 to 6), which respectively correspond to ``` ["science/technology", "travel", "politics", "sports", "health", "entertainment", "geography"] ``` An example from the LexC-Gen train set looks like the following: ``` {'id': '1', 'text': 'Mr. Smith ( ha'e narrator ) says péva peteĩva yvypóra jepy'amongeta péva taking drugs ikatu japo hikuái "" ñandu iporã "" . He ends rupi saying péva drugs oĩ iñangave'ỹva , ha opaite arapygua va'erã ha'ã g̃uarã-hag̃ua jehekýi using hikuái .' 'label': 4} ``` ### Data Fields - 'id': unique id - 'text': generated text from LLMs - 'label': an integer. ### Data Splits The LexC-Gen dataset requires config name in the format of `{lang}_{size}`. The `lang` refers to the language code, and the `size` refers to the size of LexC-Gen dataset before input-label consistency filtering, which takes values of `1k`, `10k`, or `100k`. The LexC-Gen dataset has 2 splits: _train_, _validation_. The _train_ split refers to the generated LexC-Gen task training data. The _validation_ split refers to the SIB-200 validation data that has been word translated. ## Dataset Creation ### Curation Rationale Extremely low-resource languages have virtually no labeled data. We explore generating data at scale for these languages using high-resource-language task data, LLMs, and bilingual lexicons to overcome the data bottleneck. We upload the dataset to Huggingface as an artifact of our research and to ensure reproducibility of our results in our paper. ## Considerations for Using the Data Our dataset is a synthetic dataset generated in English by LLMs and then translated into low-resource languages through word-to-word translation with bilingual lexicons. It may contain English words due to imperfect translation, and it uses English syntax such as SVO word order, which is not necessarily representative of the syntax of the low-resource languages. ## Additional Information ### Dataset Curators The LexC-Gen synthetic dataset is created by Zheng-Xin Yong. ### Licensing Information Our dataset is generated from BLOOMZ models, which uses the [BigScience RAIL License v1.0](https://huggingface.co/spaces/bigscience/license). Therefore, the RAIL license would apply to classifiers that are finetuned on our LexC-Gen dataset. ### Citation Information ``` @misc{yong2024lexcgen, title={LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons}, author={Zheng-Xin Yong and Cristina Menghini and Stephen H. Bach}, year={2024}, eprint={2402.14086}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```
result-kand2-sdxl-wuerst-karlo/9e7f6f37	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 152 num_examples: 10 download_size: 1303 dataset_size: 152 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "9e7f6f37" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ikorbiak/my_first_dataset	--- license: apache-2.0 ---
davanstrien/ia-loaded-embedded-gpu	--- dataset_info: features: - name: crawl_date dtype: int64 - name: last_modified_date dtype: float64 - name: url dtype: string - name: filename dtype: string - name: extension dtype: string - name: mime_type_web_server dtype: string - name: mime_type_tika dtype: string - name: width dtype: int64 - name: height dtype: int64 - name: md5 dtype: string - name: sha1 dtype: string - name: image dtype: image - name: embedding sequence: float32 splits: - name: train num_bytes: 1542994483.25 num_examples: 4582 download_size: 1515373521 dataset_size: 1542994483.25 --- # Dataset Card for "ia-loaded-embedded-gpu" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
bunkalab/topic_based_chatml_dpo_pairs	--- license: apache-2.0 language: - en --- # DPO Pairs This is a preprocessed version of [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs) using [Bunkatopics](https://github.com/charlesdedampierre/BunkaTopics) to extract meaningful Topics that help models converge with less data. The objective was to create a smaller dataset than the original but buy keeping its efficiecency.To achieve this, we compared the two datasets used to train the reward model in [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs): the rejected Llama answers and the accepted ChatGPT answers from the DPO dataset. We then conducted topic modeling on both datasets, keeping only the topics that existed in the accepted dataset but not in the rejected one. Our hypothesis is that these topics encapsulate the main differences between the two answering styles. This method allows for quicker convergence with significantly less data (around 1/6 of the initial dataset). See the page of the model test [here](https://huggingface.co/charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B) # Topic Analysis We applied the topic modeling method to both datasets, extracting 30 topics from each. These topics were characterized using the 10 most specific unigrams or bigrams. We then compared the two sets of topics (30 from each dataset) and retained those in the accepted dataset that shared fewer than 2 terms with any topic in the rejected dataset We found the 13 distincitve following topics described by 10 terms each: Emotional Dynamics: feelings, Quinn, Austin, minority women, teaching, schools, individual, personality, backgrounds, triggers. Global Knowledge Queries: question, information, geography, news articles, Step, answer, capital city, pipeline system, country, analogy. Digital Interactions and Queries: questions, question, PersonX, modem, answers, effect relationship, Quora, browser, answer, e-commerce. Business and Cybersecurity: email, businesses, initiatives, innovation, advertising papers, spam, breaches, antivirus, payments, prospects. Lifestyle and Wellness: sleep, exercise, gifts, shopping, Casey, stores, stress, headaches, options, mood. Wildlife Ecology: birds, prey, animals, species, infection, nest, eggs, bacteria, insects, kitty condo. Environmental Science and Climate: temperature, gases, greenhouse, emissions, perturbation, sulfur, dioxide, climate change, water, heat. Maritime and Mechanical Engineering: ship, bowling, propulsion, beam width, Filing cabinet, LED, lane, containment area, lawnmower, rotors. Cultural and Social Dynamics: Lindsey, museum, Kate, Rachel, Jason, Alex, Erin, conversation, Laura, exhibits. Political Media Analysis: media platforms, election, politics, teenagers, elections, White House, Barack Obama, nation, Confederate, depression. International Relations and Policy: cooperation, EU, nations, alliance, NATO, European Union, member states, policy, monarch, Brexit. Astrophysics and Physical Sciences: electrons, km, Moon, acceleration, orbit, friction, current, asteroid, electron, collector emitter. Film Critique and Analysis: movie review, film, reviewer, sentiment, critic, flaws, DVD, plot, opinion, originality. While those topics are not domain-specific, they did not appear right away in the rejected dataset. Further research need to undersand the reason behind the prominence of those topics in the accepted dataset. # Load Dataset ```python dataset = load_dataset("bunkalab/topic_based_chatml_dpo_pairs")['train'] ```
shreyasharma/ret_sentence_eval	--- dataset_info: features: - name: sentences dtype: string - name: label dtype: int64 - name: docs dtype: string splits: - name: test num_bytes: 1973426 num_examples: 6104 - name: train num_bytes: 3753896 num_examples: 11528 - name: val num_bytes: 528670 num_examples: 1632 download_size: 2499468 dataset_size: 6255992 --- # Dataset Card for "ret_sentence_eval" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
fxmeng/mmlu_one_line	--- configs: - config_name: default data_files: - split: dev path: data/dev-* - split: val path: data/val-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: dev num_bytes: 119303 num_examples: 285 - name: val num_bytes: 730743 num_examples: 1531 - name: test num_bytes: 6667440 num_examples: 14042 download_size: 3474542 dataset_size: 7517486 --- # Dataset Card for "mmlu_one_line" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mindcraft-nl/github-issues	--- dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: labels list: - name: id dtype: int64 - name: node_id dtype: string - name: url dtype: string - name: name dtype: string - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: assignees list: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: milestone struct: - name: url dtype: string - name: html_url dtype: string - name: labels_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: description dtype: string - name: creator struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: open_issues dtype: int64 - name: closed_issues dtype: int64 - name: state dtype: string - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: due_on dtype: 'null' - name: closed_at dtype: 'null' - name: comments sequence: string - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: closed_at dtype: timestamp[s] - name: author_association dtype: string - name: active_lock_reason dtype: 'null' - name: body dtype: string - name: reactions struct: - name: url dtype: string - name: total_count dtype: int64 - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: laugh dtype: int64 - name: hooray dtype: int64 - name: confused dtype: int64 - name: heart dtype: int64 - name: rocket dtype: int64 - name: eyes dtype: int64 - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: draft dtype: bool - name: pull_request struct: - name: url dtype: string - name: html_url dtype: string - name: diff_url dtype: string - name: patch_url dtype: string - name: merged_at dtype: timestamp[s] - name: is_pull_request dtype: bool splits: - name: train num_bytes: 16600004 num_examples: 3000 download_size: 4692861 dataset_size: 16600004 --- # Dataset Card for "github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/makigumo_kantaicollection	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of makigumo/巻雲 (Kantai Collection) This is the dataset of makigumo/巻雲 (Kantai Collection), containing 500 images and their tags. The core tags of this character are `pink_hair, glasses, ahoge, twintails, long_hair, yellow_eyes, hair_bun, double_bun`, 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 \| 540.81 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 500 \| 318.86 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1134 \| 655.01 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 500 \| 483.81 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1134 \| 903.34 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/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/makigumo_kantaicollection', 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 \| 31 \| ![](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, school_uniform, solo, sleeves_past_fingers, skirt, pantyhose, looking_at_viewer, open_mouth, long_sleeves, boots, blush, smile \| \| 1 \| 17 \| ![](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, long_sleeves, sleeves_past_fingers, solo, white_shirt, bowtie, halterneck, school_uniform, dress, grey_pantyhose, looking_at_viewer, simple_background, white_background, full_body, lace-up_boots, open_mouth, smile, cowboy_shot, standing \| \| 2 \| 14 \| ![](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, blazer, long_sleeves, solo, grey_thighhighs, school_uniform, looking_at_viewer, halterneck, smile, purple_dress, blue-framed_eyewear, cowboy_shot, crown_braid, open_mouth, aqua_bowtie \| \| 3 \| 6 \| ![](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, alternate_costume, blue_buruma, full_body, gym_shirt, gym_uniform, looking_at_viewer, short_sleeves, simple_background, solo, uwabaki, white_background, white_shirt, white_socks, from_behind, kneehighs, t-shirt, ass, looking_back, standing \| \| 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, alternate_costume, blue-framed_eyewear, blue_buruma, cowboy_shot, gym_uniform, looking_at_viewer, short_sleeves, simple_background, solo, t-shirt, white_shirt, standing, white_background, gym_shirt, open_mouth, smile \| \| 5 \| 7 \| ![](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, casual_one-piece_swimsuit, looking_at_viewer, simple_background, solo, tied_shirt, white_shirt, floral_print, full_body, grey_background, sandals, standing, swimsuit_under_clothes, t-shirt, white_background, barefoot \| \| 6 \| 6 \| ![](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, casual_one-piece_swimsuit, looking_at_viewer, solo, tied_shirt, white_shirt, beachball, cowboy_shot, open_mouth, smile, simple_background, t-shirt, white_background \| \| 7 \| 19 \| ![](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, competition_school_swimsuit, looking_at_viewer, alternate_costume, solo, blue_one-piece_swimsuit, simple_background, smile, white_background, open_mouth, cowboy_shot, sidelocks, blue-framed_eyewear, flat_chest \| \| 8 \| 11 \| ![](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) \| side-tie_bikini_bottom, 1girl, looking_at_viewer, solo, frilled_bikini, hair_flower, navel, floral_print, mismatched_bikini, open_mouth, cowboy_shot, blue-framed_eyewear, crown_braid, open_shirt, purple_bikini, sandals, simple_background, white_background \| \| 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, alternate_costume, bowtie, detached_collar, fake_animal_ears, full_body, looking_at_viewer, playboy_bunny, rabbit_ears, simple_background, solo, strapless_leotard, wrist_cuffs, high_heels, open_mouth, rabbit_tail, white_background, breasts, grey_pantyhose, red_leotard, black_footwear, black_leotard, black_pantyhose, kneeling, smile \| \| 10 \| 8 \| ![](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) \| 1girl, enmaided, maid_bikini, maid_headdress, small_breasts, waist_apron, looking_at_viewer, solo, white_thighhighs, black_bikini, simple_background, wrist_cuffs, bowtie, detached_collar, black_footwear, mary_janes, bangs, blue-framed_eyewear, blush, frills, full_body, white_apron, white_background \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| school_uniform \| solo \| sleeves_past_fingers \| skirt \| pantyhose \| looking_at_viewer \| open_mouth \| long_sleeves \| boots \| blush \| smile \| white_shirt \| bowtie \| halterneck \| dress \| grey_pantyhose \| simple_background \| white_background \| full_body \| lace-up_boots \| cowboy_shot \| standing \| blazer \| grey_thighhighs \| purple_dress \| blue-framed_eyewear \| crown_braid \| aqua_bowtie \| alternate_costume \| blue_buruma \| gym_shirt \| gym_uniform \| short_sleeves \| uwabaki \| white_socks \| from_behind \| kneehighs \| t-shirt \| ass \| looking_back \| casual_one-piece_swimsuit \| tied_shirt \| floral_print \| grey_background \| sandals \| swimsuit_under_clothes \| barefoot \| beachball \| competition_school_swimsuit \| blue_one-piece_swimsuit \| sidelocks \| flat_chest \| side-tie_bikini_bottom \| frilled_bikini \| hair_flower \| navel \| mismatched_bikini \| open_shirt \| purple_bikini \| detached_collar \| fake_animal_ears \| playboy_bunny \| rabbit_ears \| strapless_leotard \| wrist_cuffs \| high_heels \| rabbit_tail \| breasts \| red_leotard \| black_footwear \| black_leotard \| black_pantyhose \| kneeling \| enmaided \| maid_bikini \| maid_headdress \| small_breasts \| waist_apron \| white_thighhighs \| black_bikini \| mary_janes \| bangs \| frills \| white_apron \| \|----:\|----------:\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:--------\|:-----------------\|:-------\|:-----------------------\|:--------\|:------------\|:--------------------\|:-------------\|:---------------\|:--------\|:--------\|:--------\|:--------------\|:---------\|:-------------\|:--------\|:-----------------\|:--------------------\|:-------------------\|:------------\|:----------------\|:--------------\|:-----------\|:---------\|:------------------\|:---------------\|:----------------------\|:--------------\|:--------------\|:--------------------\|:--------------\|:------------\|:--------------\|:----------------\|:----------\|:--------------\|:--------------\|:------------\|:----------\|:------\|:---------------\|:----------------------------\|:-------------\|:---------------\|:------------------\|:----------\|:-------------------------\|:-----------\|:------------\|:------------------------------\|:--------------------------\|:------------\|:-------------\|:-------------------------\|:-----------------\|:--------------\|:--------\|:--------------------\|:-------------\|:----------------\|:------------------\|:-------------------\|:----------------\|:--------------\|:--------------------\|:--------------\|:-------------\|:--------------\|:----------\|:--------------\|:-----------------\|:----------------\|:------------------\|:-----------\|:-----------\|:--------------\|:-----------------\|:----------------\|:--------------\|:-------------------\|:---------------\|:-------------\|:--------\|:---------\|:--------------\| \| 0 \| 31 \| ![](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 \| 17 \| ![](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 \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 2 \| 14 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 6 \| ![](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 \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 5 \| 7 \| ![](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 \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 6 \| 6 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 7 \| 19 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 8 \| 11 \| ![](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 \| \| \| \| \| \| \| \| \| \| X \| X \| \| \| X \| \| \| \| \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| X \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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) \| X \| \| X \| \| \| \| X \| X \| \| \| \| X \| \| X \| \| \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| 10 \| 8 \| ![](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 \| X \| X \| X \| X \| X \| X \| X \|
liuyanchen1015/MULTI_VALUE_mnli_reflex_number	--- dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: score dtype: int64 splits: - name: dev_matched num_bytes: 20356 num_examples: 92 - name: dev_mismatched num_bytes: 27643 num_examples: 112 - name: test_matched num_bytes: 22153 num_examples: 88 - name: test_mismatched num_bytes: 23549 num_examples: 102 - name: train num_bytes: 1047688 num_examples: 4272 download_size: 636372 dataset_size: 1141389 --- # Dataset Card for "MULTI_VALUE_mnli_reflex_number" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ	--- pretty_name: Evaluation run of TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ)\ \ 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_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-22T10:53:17.967443](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ/blob/main/results_2023-10-22T10-53-17.967443.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\": 0.004823825503355705,\n\ \ \"em_stderr\": 0.0007095539645563046,\n \"f1\": 0.08351929530201369,\n\ \ \"f1_stderr\": 0.0017605531187545353,\n \"acc\": 0.4477247418430049,\n\ \ \"acc_stderr\": 0.010448120593026917\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.004823825503355705,\n \"em_stderr\": 0.0007095539645563046,\n\ \ \"f1\": 0.08351929530201369,\n \"f1_stderr\": 0.0017605531187545353\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.1243366186504928,\n \ \ \"acc_stderr\": 0.009088880962028442\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.771112865035517,\n \"acc_stderr\": 0.011807360224025395\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ 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_30T22_06_48.097340 path: - '/details_harness\|arc:challenge\|25_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-30T22:06:48.097340.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_22T10_53_17.967443 path: - '/details_harness\|drop\|3_2023-10-22T10-53-17.967443.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-22T10-53-17.967443.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_22T10_53_17.967443 path: - '/details_harness\|gsm8k\|5_2023-10-22T10-53-17.967443.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-22T10-53-17.967443.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hellaswag\|10_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T22:06:48.097340.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_30T22_06_48.097340 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-30T22:06:48.097340.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_22T10_53_17.967443 path: - '/details_harness\|winogrande\|5_2023-10-22T10-53-17.967443.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-22T10-53-17.967443.parquet' - config_name: results data_files: - split: 2023_08_30T22_06_48.097340 path: - results_2023-08-30T22:06:48.097340.parquet - split: 2023_10_22T10_53_17.967443 path: - results_2023-10-22T10-53-17.967443.parquet - split: latest path: - results_2023-10-22T10-53-17.967443.parquet --- # Dataset Card for Evaluation run of TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ ## Dataset Description - Homepage: - Repository: https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ - 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 [TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ) 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_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-22T10:53:17.967443](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ/blob/main/results_2023-10-22T10-53-17.967443.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": 0.004823825503355705, "em_stderr": 0.0007095539645563046, "f1": 0.08351929530201369, "f1_stderr": 0.0017605531187545353, "acc": 0.4477247418430049, "acc_stderr": 0.010448120593026917 }, "harness\|drop\|3": { "em": 0.004823825503355705, "em_stderr": 0.0007095539645563046, "f1": 0.08351929530201369, "f1_stderr": 0.0017605531187545353 }, "harness\|gsm8k\|5": { "acc": 0.1243366186504928, "acc_stderr": 0.009088880962028442 }, "harness\|winogrande\|5": { "acc": 0.771112865035517, "acc_stderr": 0.011807360224025395 } } ``` ### 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]
Aeala/ShareGPT_Vicuna_unfiltered	--- license: apache-2.0 language: - en --- ## Dataset Card This is a reupload of [this dataset](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) that was further cleaned by gozfarb.
blastwind/github-code-haskell-file	--- dataset_info: features: - name: code dtype: string - name: repo_name dtype: string - name: path dtype: string - name: license dtype: string - name: size dtype: int64 - name: n_ast_errors dtype: int64 - name: ast_max_depth dtype: int64 - name: n_whitespaces dtype: int64 - name: n_ast_nodes dtype: int64 - name: n_ast_terminals dtype: int64 - name: n_ast_nonterminals dtype: int64 - name: loc dtype: int64 - name: cycloplexity dtype: int64 splits: - name: train num_bytes: 2024779946 num_examples: 339895 download_size: 805998536 dataset_size: 2024779946 task_categories: - text-generation tags: - code - haskell size_categories: - 100K<n<1M --- # Dataset Card for "github-code-haskell-file" Rows: 339k Download Size: 806M This dataset is extracted from [github-code-clean](https://huggingface.co/datasets/codeparrot/github-code-clean). Each row also contains attribute values for my personal analysis project. 12.6% (43k) of the rows have cyclomatic complexity and LOC valued at `-1` because [`homplexity`](https://github.com/BlastWind/homplexity) failed in parsing the row's `uncommented_code`.
joey234/mmlu-high_school_european_history-verbal-neg-prepend	--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 315227 num_examples: 165 download_size: 168253 dataset_size: 315227 --- # Dataset Card for "mmlu-high_school_european_history-verbal-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
showchen/jiaobaoyu	--- license: apache-2.0 ---
medric49/dolly-rag-pythia-410m	--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string - name: res:airedefined/pythia-410m-dolly-rag dtype: string splits: - name: train num_bytes: 6006042 num_examples: 3588 download_size: 3742391 dataset_size: 6006042 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "dpo-dolly-rag-pythia-410m" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
gsstein/75-baseline-dataset-llama	--- dataset_info: features: - name: id dtype: string - name: url dtype: string - name: title dtype: string - name: summary dtype: string - name: text dtype: string - name: prompt dtype: string - name: generated dtype: bool - name: raw_summary dtype: string splits: - name: train num_bytes: 129433124 num_examples: 15326 - name: test num_bytes: 4635338 num_examples: 576 - name: validation num_bytes: 4920271 num_examples: 576 download_size: 85078773 dataset_size: 138988733 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---
beyond-repair/dataset_smart_contract	--- license: mit ---
open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7_b	--- pretty_name: Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [NExtNewChattingAI/shark_tank_ai_7_b](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b)\ \ 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_NExtNewChattingAI__shark_tank_ai_7_b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-18T08:22:45.276136](https://huggingface.co/datasets/open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7_b/blob/main/results_2023-12-18T08-22-45.276136.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\": 0.65556501715169,\n\ \ \"acc_stderr\": 0.031845412531981275,\n \"acc_norm\": 0.6565753714833046,\n\ \ \"acc_norm_stderr\": 0.0324927894891608,\n \"mc1\": 0.4259485924112607,\n\ \ \"mc1_stderr\": 0.01731047190407654,\n \"mc2\": 0.6019434535176705,\n\ \ \"mc2_stderr\": 0.015061482204205485\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6313993174061433,\n \"acc_stderr\": 0.014097810678042194,\n\ \ \"acc_norm\": 0.6689419795221843,\n \"acc_norm_stderr\": 0.013752062419817836\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.678550089623581,\n\ \ \"acc_stderr\": 0.004660785616933751,\n \"acc_norm\": 0.8660625373431587,\n\ \ \"acc_norm_stderr\": 0.0033988905252297008\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-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\": 0.6710526315789473,\n \"acc_stderr\": 0.038234289699266046,\n\ \ \"acc_norm\": 0.6710526315789473,\n \"acc_norm_stderr\": 0.038234289699266046\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7569444444444444,\n\ \ \"acc_stderr\": 0.03586879280080341,\n \"acc_norm\": 0.7569444444444444,\n\ \ \"acc_norm_stderr\": 0.03586879280080341\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"\ acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_mathematics\|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-college_medicine\|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247078,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247078\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726367,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726367\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.77,\n\ \ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6042553191489362,\n \"acc_stderr\": 0.031967586978353627,\n\ \ \"acc_norm\": 0.6042553191489362,\n \"acc_norm_stderr\": 0.031967586978353627\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.04697085136647863,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.04697085136647863\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6206896551724138,\n \"acc_stderr\": 0.040434618619167466,\n\ \ \"acc_norm\": 0.6206896551724138,\n \"acc_norm_stderr\": 0.040434618619167466\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4417989417989418,\n \"acc_stderr\": 0.025576257061253833,\n \"\ acc_norm\": 0.4417989417989418,\n \"acc_norm_stderr\": 0.025576257061253833\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\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\": 0.7903225806451613,\n\ \ \"acc_stderr\": 0.023157879349083525,\n \"acc_norm\": 0.7903225806451613,\n\ \ \"acc_norm_stderr\": 0.023157879349083525\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\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\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586825,\n \"\ acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586825\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.020986854593289733,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.020986854593289733\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6923076923076923,\n \"acc_stderr\": 0.02340092891831049,\n \ \ \"acc_norm\": 0.6923076923076923,\n \"acc_norm_stderr\": 0.02340092891831049\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251972,\n \ \ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251972\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7184873949579832,\n \"acc_stderr\": 0.029213549414372177,\n\ \ \"acc_norm\": 0.7184873949579832,\n \"acc_norm_stderr\": 0.029213549414372177\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8385321100917431,\n \"acc_stderr\": 0.015776239256163248,\n \"\ acc_norm\": 0.8385321100917431,\n \"acc_norm_stderr\": 0.015776239256163248\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5694444444444444,\n \"acc_stderr\": 0.03376922151252335,\n \"\ acc_norm\": 0.5694444444444444,\n \"acc_norm_stderr\": 0.03376922151252335\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8186274509803921,\n \"acc_stderr\": 0.027044621719474082,\n \"\ acc_norm\": 0.8186274509803921,\n \"acc_norm_stderr\": 0.027044621719474082\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621115,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621115\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6995515695067265,\n\ \ \"acc_stderr\": 0.030769352008229146,\n \"acc_norm\": 0.6995515695067265,\n\ \ \"acc_norm_stderr\": 0.030769352008229146\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8320610687022901,\n \"acc_stderr\": 0.032785485373431386,\n\ \ \"acc_norm\": 0.8320610687022901,\n \"acc_norm_stderr\": 0.032785485373431386\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098825,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098825\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8055555555555556,\n\ \ \"acc_stderr\": 0.038260763248848646,\n \"acc_norm\": 0.8055555555555556,\n\ \ \"acc_norm_stderr\": 0.038260763248848646\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615624,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615624\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5178571428571429,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.5178571428571429,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8390804597701149,\n\ \ \"acc_stderr\": 0.013140225515611724,\n \"acc_norm\": 0.8390804597701149,\n\ \ \"acc_norm_stderr\": 0.013140225515611724\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7312138728323699,\n \"acc_stderr\": 0.023868003262500107,\n\ \ \"acc_norm\": 0.7312138728323699,\n \"acc_norm_stderr\": 0.023868003262500107\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.44581005586592176,\n\ \ \"acc_stderr\": 0.01662399851333311,\n \"acc_norm\": 0.44581005586592176,\n\ \ \"acc_norm_stderr\": 0.01662399851333311\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7516339869281046,\n \"acc_stderr\": 0.02473998135511359,\n\ \ \"acc_norm\": 0.7516339869281046,\n \"acc_norm_stderr\": 0.02473998135511359\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7202572347266881,\n\ \ \"acc_stderr\": 0.02549425935069491,\n \"acc_norm\": 0.7202572347266881,\n\ \ \"acc_norm_stderr\": 0.02549425935069491\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.02438366553103545,\n\ \ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.02438366553103545\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.01272570165695364,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.01272570165695364\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7022058823529411,\n \"acc_stderr\": 0.027778298701545443,\n\ \ \"acc_norm\": 0.7022058823529411,\n \"acc_norm_stderr\": 0.027778298701545443\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6944444444444444,\n \"acc_stderr\": 0.01863559403442397,\n \ \ \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.01863559403442397\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8656716417910447,\n\ \ \"acc_stderr\": 0.02411267824090083,\n \"acc_norm\": 0.8656716417910447,\n\ \ \"acc_norm_stderr\": 0.02411267824090083\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.9,\n \"acc_stderr\": 0.030151134457776334,\n \ \ \"acc_norm\": 0.9,\n \"acc_norm_stderr\": 0.030151134457776334\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160893,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160893\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4259485924112607,\n\ \ \"mc1_stderr\": 0.01731047190407654,\n \"mc2\": 0.6019434535176705,\n\ \ \"mc2_stderr\": 0.015061482204205485\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.819258089976322,\n \"acc_stderr\": 0.010814911009613983\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6573161485974223,\n \ \ \"acc_stderr\": 0.01307303023082791\n }\n}\n```" repo_url: https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b 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_12_18T08_22_45.276136 path: - '/details_harness\|arc:challenge\|25_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-18T08-22-45.276136.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|gsm8k\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hellaswag\|10_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-18T08-22-45.276136.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-18T08-22-45.276136.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '/details_harness\|winogrande\|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-18T08-22-45.276136.parquet' - config_name: results data_files: - split: 2023_12_18T08_22_45.276136 path: - results_2023-12-18T08-22-45.276136.parquet - split: latest path: - results_2023-12-18T08-22-45.276136.parquet --- # Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [NExtNewChattingAI/shark_tank_ai_7_b](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b) 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_NExtNewChattingAI__shark_tank_ai_7_b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-18T08:22:45.276136](https://huggingface.co/datasets/open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7_b/blob/main/results_2023-12-18T08-22-45.276136.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": 0.65556501715169, "acc_stderr": 0.031845412531981275, "acc_norm": 0.6565753714833046, "acc_norm_stderr": 0.0324927894891608, "mc1": 0.4259485924112607, "mc1_stderr": 0.01731047190407654, "mc2": 0.6019434535176705, "mc2_stderr": 0.015061482204205485 }, "harness\|arc:challenge\|25": { "acc": 0.6313993174061433, "acc_stderr": 0.014097810678042194, "acc_norm": 0.6689419795221843, "acc_norm_stderr": 0.013752062419817836 }, "harness\|hellaswag\|10": { "acc": 0.678550089623581, "acc_stderr": 0.004660785616933751, "acc_norm": 0.8660625373431587, "acc_norm_stderr": 0.0033988905252297008 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "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": 0.6710526315789473, "acc_stderr": 0.038234289699266046, "acc_norm": 0.6710526315789473, "acc_norm_stderr": 0.038234289699266046 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6981132075471698, "acc_stderr": 0.02825420034443866, "acc_norm": 0.6981132075471698, "acc_norm_stderr": 0.02825420034443866 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7569444444444444, "acc_stderr": 0.03586879280080341, "acc_norm": 0.7569444444444444, "acc_norm_stderr": 0.03586879280080341 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247078, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247078 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4117647058823529, "acc_stderr": 0.04897104952726367, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726367 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.77, "acc_stderr": 0.04229525846816506, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816506 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6042553191489362, "acc_stderr": 0.031967586978353627, "acc_norm": 0.6042553191489362, "acc_norm_stderr": 0.031967586978353627 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.47368421052631576, "acc_stderr": 0.04697085136647863, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.04697085136647863 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6206896551724138, "acc_stderr": 0.040434618619167466, "acc_norm": 0.6206896551724138, "acc_norm_stderr": 0.040434618619167466 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4417989417989418, "acc_stderr": 0.025576257061253833, "acc_norm": 0.4417989417989418, "acc_norm_stderr": 0.025576257061253833 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "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": 0.7903225806451613, "acc_stderr": 0.023157879349083525, "acc_norm": 0.7903225806451613, "acc_norm_stderr": 0.023157879349083525 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "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": 0.7696969696969697, "acc_stderr": 0.0328766675860349, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.0328766675860349 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7878787878787878, "acc_stderr": 0.029126522834586825, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.029126522834586825 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9067357512953368, "acc_stderr": 0.020986854593289733, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.020986854593289733 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6923076923076923, "acc_stderr": 0.02340092891831049, "acc_norm": 0.6923076923076923, "acc_norm_stderr": 0.02340092891831049 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3592592592592593, "acc_stderr": 0.029252905927251972, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.029252905927251972 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7184873949579832, "acc_stderr": 0.029213549414372177, "acc_norm": 0.7184873949579832, "acc_norm_stderr": 0.029213549414372177 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33774834437086093, "acc_stderr": 0.03861557546255169, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.03861557546255169 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8385321100917431, "acc_stderr": 0.015776239256163248, "acc_norm": 0.8385321100917431, "acc_norm_stderr": 0.015776239256163248 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5694444444444444, "acc_stderr": 0.03376922151252335, "acc_norm": 0.5694444444444444, "acc_norm_stderr": 0.03376922151252335 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8186274509803921, "acc_stderr": 0.027044621719474082, "acc_norm": 0.8186274509803921, "acc_norm_stderr": 0.027044621719474082 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8016877637130801, "acc_stderr": 0.025955020841621115, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.025955020841621115 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6995515695067265, "acc_stderr": 0.030769352008229146, "acc_norm": 0.6995515695067265, "acc_norm_stderr": 0.030769352008229146 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8320610687022901, "acc_stderr": 0.032785485373431386, "acc_norm": 0.8320610687022901, "acc_norm_stderr": 0.032785485373431386 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098825, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098825 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8055555555555556, "acc_stderr": 0.038260763248848646, "acc_norm": 0.8055555555555556, "acc_norm_stderr": 0.038260763248848646 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615624, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615624 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5178571428571429, "acc_stderr": 0.047427623612430116, "acc_norm": 0.5178571428571429, "acc_norm_stderr": 0.047427623612430116 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8717948717948718, "acc_stderr": 0.02190190511507333, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.02190190511507333 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8390804597701149, "acc_stderr": 0.013140225515611724, "acc_norm": 0.8390804597701149, "acc_norm_stderr": 0.013140225515611724 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7312138728323699, "acc_stderr": 0.023868003262500107, "acc_norm": 0.7312138728323699, "acc_norm_stderr": 0.023868003262500107 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.44581005586592176, "acc_stderr": 0.01662399851333311, "acc_norm": 0.44581005586592176, "acc_norm_stderr": 0.01662399851333311 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7516339869281046, "acc_stderr": 0.02473998135511359, "acc_norm": 0.7516339869281046, "acc_norm_stderr": 0.02473998135511359 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7202572347266881, "acc_stderr": 0.02549425935069491, "acc_norm": 0.7202572347266881, "acc_norm_stderr": 0.02549425935069491 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7407407407407407, "acc_stderr": 0.02438366553103545, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.02438366553103545 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.48936170212765956, "acc_stderr": 0.029820747191422473, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.029820747191422473 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.45827900912646674, "acc_stderr": 0.01272570165695364, "acc_norm": 0.45827900912646674, "acc_norm_stderr": 0.01272570165695364 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7022058823529411, "acc_stderr": 0.027778298701545443, "acc_norm": 0.7022058823529411, "acc_norm_stderr": 0.027778298701545443 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6944444444444444, "acc_stderr": 0.01863559403442397, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.01863559403442397 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7, "acc_stderr": 0.04389311454644287, "acc_norm": 0.7, "acc_norm_stderr": 0.04389311454644287 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8656716417910447, "acc_stderr": 0.02411267824090083, "acc_norm": 0.8656716417910447, "acc_norm_stderr": 0.02411267824090083 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.9, "acc_stderr": 0.030151134457776334, "acc_norm": 0.9, "acc_norm_stderr": 0.030151134457776334 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.536144578313253, "acc_stderr": 0.038823108508905954, "acc_norm": 0.536144578313253, "acc_norm_stderr": 0.038823108508905954 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8421052631578947, "acc_stderr": 0.027966785859160893, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160893 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4259485924112607, "mc1_stderr": 0.01731047190407654, "mc2": 0.6019434535176705, "mc2_stderr": 0.015061482204205485 }, "harness\|winogrande\|5": { "acc": 0.819258089976322, "acc_stderr": 0.010814911009613983 }, "harness\|gsm8k\|5": { "acc": 0.6573161485974223, "acc_stderr": 0.01307303023082791 } } ``` ## 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]
rocailler/test_prod_lab	--- license: cc dataset_info: features: - name: product_name dtype: string - name: labels dtype: string splits: - name: train num_bytes: 19643 num_examples: 99 download_size: 0 dataset_size: 19643 configs: - config_name: default data_files: - split: train path: data/train-* ---
tj-solergibert/Europarl-ST-processed-mt-fr	--- dataset_info: features: - name: source_text dtype: string - name: dest_text dtype: string - name: dest_lang dtype: class_label: names: '0': de '1': en '2': es '3': fr '4': it '5': nl '6': pl '7': pt '8': ro splits: - name: train num_bytes: 199700180 num_examples: 560866 - name: valid num_bytes: 27382683 num_examples: 74712 - name: test num_bytes: 28363822 num_examples: 77906 download_size: 95095990 dataset_size: 255446685 --- # Dataset Card for "Europarl-ST-processed-mt-fr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
TheFinAI/fiqa-sentiment-classification	--- language: en license: mit dataset_info: features: - name: _id dtype: string - name: sentence dtype: string - name: target dtype: string - name: aspect dtype: string - name: score dtype: float64 - name: type dtype: string splits: - name: train num_bytes: 119567 num_examples: 822 - name: valid num_bytes: 17184 num_examples: 117 - name: test num_bytes: 33728 num_examples: 234 download_size: 102225 dataset_size: 170479 --- # Dataset Name ## Dataset Description This dataset is based on the task 1 of the Financial Sentiment Analysis in the Wild (FiQA) challenge. It follows the same settings as described in the paper 'A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News'. The dataset is split into three subsets: train, valid, test with sizes 822, 117, 234 respectively. ## Dataset Structure - `_id`: ID of the data point - `sentence`: The sentence - `target`: The target of the sentiment - `aspect`: The aspect of the sentiment - `score`: The sentiment score - `type`: The type of the data point (headline or post) ## Additional Information - Homepage: [FiQA Challenge](https://sites.google.com/view/fiqa/home) - Citation: [A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News](https://arxiv.org/pdf/2211.00083.pdf) ## Downloading CSV ```python from datasets import load_dataset # Load the dataset from the hub dataset = load_dataset("ChanceFocus/fiqa-sentiment-classification") # Save the dataset to a CSV file dataset["train"].to_csv("train.csv") dataset["valid"].to_csv("valid.csv") dataset["test"].to_csv("test.csv") ```
alanila/autotrain-data-mm	--- task_categories: - conditional-text-generation --- # AutoTrain Dataset for project: mm ## Dataset Description This dataset has been automatically processed by AutoTrain for project mm. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "text": "Email from attorney A Dutkanych regarding executed Settlement Agreement", "target": "Email from attorney A Dutkanych regarding executed Settlement Agreement" }, { "text": "Telephone conference with A Royer regarding additional factual background information relating to O Stapletons Charge of Discrimination allegations", "target": "Telephone conference with A Royer regarding additional factual background information as to O Stapletons Charge of Discrimination allegations" } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "text": "Value(dtype='string', id=None)", "target": "Value(dtype='string', id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: \| Split name \| Num samples \| \| ------------ \| ------------------- \| \| train \| 88 \| \| valid \| 22 \|
open-llm-leaderboard/details_kevin009__babyllama-v0.6	--- pretty_name: Evaluation run of kevin009/babyllama-v0.6 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [kevin009/babyllama-v0.6](https://huggingface.co/kevin009/babyllama-v0.6) 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_kevin009__babyllama-v0.6\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-13T10:06:30.565512](https://huggingface.co/datasets/open-llm-leaderboard/details_kevin009__babyllama-v0.6/blob/main/results_2024-02-13T10-06-30.565512.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\": 0.26066347798834766,\n\ \ \"acc_stderr\": 0.030904794820091792,\n \"acc_norm\": 0.26161932329960463,\n\ \ \"acc_norm_stderr\": 0.0316608342460649,\n \"mc1\": 0.22031823745410037,\n\ \ \"mc1_stderr\": 0.014509045171487295,\n \"mc2\": 0.3584100057903431,\n\ \ \"mc2_stderr\": 0.013776314892170112\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.35238907849829354,\n \"acc_stderr\": 0.013960142600598677,\n\ \ \"acc_norm\": 0.3609215017064846,\n \"acc_norm_stderr\": 0.014034761386175458\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.46335391356303524,\n\ \ \"acc_stderr\": 0.004976361454341339,\n \"acc_norm\": 0.6159131647082254,\n\ \ \"acc_norm_stderr\": 0.0048538457503921415\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909284,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909284\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.17777777777777778,\n\ \ \"acc_stderr\": 0.03302789859901717,\n \"acc_norm\": 0.17777777777777778,\n\ \ \"acc_norm_stderr\": 0.03302789859901717\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.17105263157894737,\n \"acc_stderr\": 0.030643607071677077,\n\ \ \"acc_norm\": 0.17105263157894737,\n \"acc_norm_stderr\": 0.030643607071677077\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.24,\n\ \ \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.24,\n \ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2830188679245283,\n \"acc_stderr\": 0.027724236492700904,\n\ \ \"acc_norm\": 0.2830188679245283,\n \"acc_norm_stderr\": 0.027724236492700904\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.24305555555555555,\n\ \ \"acc_stderr\": 0.035868792800803406,\n \"acc_norm\": 0.24305555555555555,\n\ \ \"acc_norm_stderr\": 0.035868792800803406\n },\n \"harness\|hendrycksTest-college_chemistry\|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-college_computer_science\|5\": {\n \"acc\"\ : 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \"acc_norm\": 0.27,\n\ \ \"acc_norm_stderr\": 0.0446196043338474\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.19653179190751446,\n\ \ \"acc_stderr\": 0.030299574664788147,\n \"acc_norm\": 0.19653179190751446,\n\ \ \"acc_norm_stderr\": 0.030299574664788147\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.19607843137254902,\n \"acc_stderr\": 0.03950581861179961,\n\ \ \"acc_norm\": 0.19607843137254902,\n \"acc_norm_stderr\": 0.03950581861179961\n\ \ },\n \"harness\|hendrycksTest-computer_security\|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-conceptual_physics\|5\"\ : {\n \"acc\": 0.28085106382978725,\n \"acc_stderr\": 0.02937917046412482,\n\ \ \"acc_norm\": 0.28085106382978725,\n \"acc_norm_stderr\": 0.02937917046412482\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.2631578947368421,\n\ \ \"acc_stderr\": 0.041424397194893624,\n \"acc_norm\": 0.2631578947368421,\n\ \ \"acc_norm_stderr\": 0.041424397194893624\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.23448275862068965,\n \"acc_stderr\": 0.035306258743465914,\n\ \ \"acc_norm\": 0.23448275862068965,\n \"acc_norm_stderr\": 0.035306258743465914\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.25925925925925924,\n \"acc_stderr\": 0.022569897074918417,\n \"\ acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.022569897074918417\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.1984126984126984,\n\ \ \"acc_stderr\": 0.03567016675276864,\n \"acc_norm\": 0.1984126984126984,\n\ \ \"acc_norm_stderr\": 0.03567016675276864\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.2645161290322581,\n\ \ \"acc_stderr\": 0.025091892378859275,\n \"acc_norm\": 0.2645161290322581,\n\ \ \"acc_norm_stderr\": 0.025091892378859275\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03010833071801162,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03010833071801162\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.22,\n \"acc_stderr\": 0.041633319989322695,\n \"acc_norm\"\ : 0.22,\n \"acc_norm_stderr\": 0.041633319989322695\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.2909090909090909,\n \"acc_stderr\": 0.03546563019624336,\n\ \ \"acc_norm\": 0.2909090909090909,\n \"acc_norm_stderr\": 0.03546563019624336\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.2222222222222222,\n \"acc_stderr\": 0.029620227874790486,\n \"\ acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.029620227874790486\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.22279792746113988,\n \"acc_stderr\": 0.03003114797764154,\n\ \ \"acc_norm\": 0.22279792746113988,\n \"acc_norm_stderr\": 0.03003114797764154\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.24615384615384617,\n \"acc_stderr\": 0.021840866990423088,\n\ \ \"acc_norm\": 0.24615384615384617,\n \"acc_norm_stderr\": 0.021840866990423088\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.26666666666666666,\n \"acc_stderr\": 0.02696242432507384,\n \ \ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.02696242432507384\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.027553614467863818,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.027553614467863818\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.2052980132450331,\n \"acc_stderr\": 0.03297986648473836,\n \"\ acc_norm\": 0.2052980132450331,\n \"acc_norm_stderr\": 0.03297986648473836\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.24036697247706423,\n \"acc_stderr\": 0.01832060732096407,\n \"\ acc_norm\": 0.24036697247706423,\n \"acc_norm_stderr\": 0.01832060732096407\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.38425925925925924,\n \"acc_stderr\": 0.03317354514310742,\n \"\ acc_norm\": 0.38425925925925924,\n \"acc_norm_stderr\": 0.03317354514310742\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.24019607843137256,\n \"acc_stderr\": 0.02998373305591362,\n \"\ acc_norm\": 0.24019607843137256,\n \"acc_norm_stderr\": 0.02998373305591362\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.25316455696202533,\n \"acc_stderr\": 0.0283046579430353,\n \ \ \"acc_norm\": 0.25316455696202533,\n \"acc_norm_stderr\": 0.0283046579430353\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.3632286995515695,\n\ \ \"acc_stderr\": 0.03227790442850499,\n \"acc_norm\": 0.3632286995515695,\n\ \ \"acc_norm_stderr\": 0.03227790442850499\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.2366412213740458,\n \"acc_stderr\": 0.037276735755969195,\n\ \ \"acc_norm\": 0.2366412213740458,\n \"acc_norm_stderr\": 0.037276735755969195\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.256198347107438,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.256198347107438,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.25925925925925924,\n\ \ \"acc_stderr\": 0.04236511258094633,\n \"acc_norm\": 0.25925925925925924,\n\ \ \"acc_norm_stderr\": 0.04236511258094633\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.22085889570552147,\n \"acc_stderr\": 0.032591773927421776,\n\ \ \"acc_norm\": 0.22085889570552147,\n \"acc_norm_stderr\": 0.032591773927421776\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.29464285714285715,\n\ \ \"acc_stderr\": 0.04327040932578728,\n \"acc_norm\": 0.29464285714285715,\n\ \ \"acc_norm_stderr\": 0.04327040932578728\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.2621359223300971,\n \"acc_stderr\": 0.04354631077260597,\n\ \ \"acc_norm\": 0.2621359223300971,\n \"acc_norm_stderr\": 0.04354631077260597\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.28205128205128205,\n\ \ \"acc_stderr\": 0.029480360549541194,\n \"acc_norm\": 0.28205128205128205,\n\ \ \"acc_norm_stderr\": 0.029480360549541194\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.280970625798212,\n\ \ \"acc_stderr\": 0.01607312785122125,\n \"acc_norm\": 0.280970625798212,\n\ \ \"acc_norm_stderr\": 0.01607312785122125\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.2254335260115607,\n \"acc_stderr\": 0.022497230190967547,\n\ \ \"acc_norm\": 0.2254335260115607,\n \"acc_norm_stderr\": 0.022497230190967547\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.22681564245810057,\n\ \ \"acc_stderr\": 0.014005843570897897,\n \"acc_norm\": 0.22681564245810057,\n\ \ \"acc_norm_stderr\": 0.014005843570897897\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.24183006535947713,\n \"acc_stderr\": 0.024518195641879334,\n\ \ \"acc_norm\": 0.24183006535947713,\n \"acc_norm_stderr\": 0.024518195641879334\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.26688102893890675,\n\ \ \"acc_stderr\": 0.02512263760881665,\n \"acc_norm\": 0.26688102893890675,\n\ \ \"acc_norm_stderr\": 0.02512263760881665\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.2654320987654321,\n \"acc_stderr\": 0.024569223600460845,\n\ \ \"acc_norm\": 0.2654320987654321,\n \"acc_norm_stderr\": 0.024569223600460845\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.25886524822695034,\n \"acc_stderr\": 0.026129572527180848,\n \ \ \"acc_norm\": 0.25886524822695034,\n \"acc_norm_stderr\": 0.026129572527180848\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.23859191655801826,\n\ \ \"acc_stderr\": 0.0108859297420022,\n \"acc_norm\": 0.23859191655801826,\n\ \ \"acc_norm_stderr\": 0.0108859297420022\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.20220588235294118,\n \"acc_stderr\": 0.02439819298665492,\n\ \ \"acc_norm\": 0.20220588235294118,\n \"acc_norm_stderr\": 0.02439819298665492\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.26633986928104575,\n \"acc_stderr\": 0.017883188134667192,\n \ \ \"acc_norm\": 0.26633986928104575,\n \"acc_norm_stderr\": 0.017883188134667192\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.3181818181818182,\n\ \ \"acc_stderr\": 0.04461272175910507,\n \"acc_norm\": 0.3181818181818182,\n\ \ \"acc_norm_stderr\": 0.04461272175910507\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.17142857142857143,\n \"acc_stderr\": 0.02412746346265015,\n\ \ \"acc_norm\": 0.17142857142857143,\n \"acc_norm_stderr\": 0.02412746346265015\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.23383084577114427,\n\ \ \"acc_stderr\": 0.029929415408348384,\n \"acc_norm\": 0.23383084577114427,\n\ \ \"acc_norm_stderr\": 0.029929415408348384\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.3192771084337349,\n\ \ \"acc_stderr\": 0.03629335329947861,\n \"acc_norm\": 0.3192771084337349,\n\ \ \"acc_norm_stderr\": 0.03629335329947861\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.2807017543859649,\n \"acc_stderr\": 0.034462962170884265,\n\ \ \"acc_norm\": 0.2807017543859649,\n \"acc_norm_stderr\": 0.034462962170884265\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.22031823745410037,\n\ \ \"mc1_stderr\": 0.014509045171487295,\n \"mc2\": 0.3584100057903431,\n\ \ \"mc2_stderr\": 0.013776314892170112\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6101026045777427,\n \"acc_stderr\": 0.013707547317008463\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.01592115238817286,\n \ \ \"acc_stderr\": 0.0034478192723890015\n }\n}\n```" repo_url: https://huggingface.co/kevin009/babyllama-v0.6 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_02_13T10_06_30.565512 path: - '/details_harness\|arc:challenge\|25_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-13T10-06-30.565512.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|gsm8k\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hellaswag\|10_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-13T10-06-30.565512.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-13T10-06-30.565512.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '/details_harness\|winogrande\|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-13T10-06-30.565512.parquet' - config_name: results data_files: - split: 2024_02_13T10_06_30.565512 path: - results_2024-02-13T10-06-30.565512.parquet - split: latest path: - results_2024-02-13T10-06-30.565512.parquet --- # Dataset Card for Evaluation run of kevin009/babyllama-v0.6 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [kevin009/babyllama-v0.6](https://huggingface.co/kevin009/babyllama-v0.6) 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_kevin009__babyllama-v0.6", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-13T10:06:30.565512](https://huggingface.co/datasets/open-llm-leaderboard/details_kevin009__babyllama-v0.6/blob/main/results_2024-02-13T10-06-30.565512.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": 0.26066347798834766, "acc_stderr": 0.030904794820091792, "acc_norm": 0.26161932329960463, "acc_norm_stderr": 0.0316608342460649, "mc1": 0.22031823745410037, "mc1_stderr": 0.014509045171487295, "mc2": 0.3584100057903431, "mc2_stderr": 0.013776314892170112 }, "harness\|arc:challenge\|25": { "acc": 0.35238907849829354, "acc_stderr": 0.013960142600598677, "acc_norm": 0.3609215017064846, "acc_norm_stderr": 0.014034761386175458 }, "harness\|hellaswag\|10": { "acc": 0.46335391356303524, "acc_stderr": 0.004976361454341339, "acc_norm": 0.6159131647082254, "acc_norm_stderr": 0.0048538457503921415 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.17777777777777778, "acc_stderr": 0.03302789859901717, "acc_norm": 0.17777777777777778, "acc_norm_stderr": 0.03302789859901717 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.17105263157894737, "acc_stderr": 0.030643607071677077, "acc_norm": 0.17105263157894737, "acc_norm_stderr": 0.030643607071677077 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2830188679245283, "acc_stderr": 0.027724236492700904, "acc_norm": 0.2830188679245283, "acc_norm_stderr": 0.027724236492700904 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.24305555555555555, "acc_stderr": 0.035868792800803406, "acc_norm": 0.24305555555555555, "acc_norm_stderr": 0.035868792800803406 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.19653179190751446, "acc_stderr": 0.030299574664788147, "acc_norm": 0.19653179190751446, "acc_norm_stderr": 0.030299574664788147 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179961, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179961 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.28085106382978725, "acc_stderr": 0.02937917046412482, "acc_norm": 0.28085106382978725, "acc_norm_stderr": 0.02937917046412482 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.2631578947368421, "acc_stderr": 0.041424397194893624, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.041424397194893624 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.23448275862068965, "acc_stderr": 0.035306258743465914, "acc_norm": 0.23448275862068965, "acc_norm_stderr": 0.035306258743465914 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.25925925925925924, "acc_stderr": 0.022569897074918417, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.022569897074918417 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.1984126984126984, "acc_stderr": 0.03567016675276864, "acc_norm": 0.1984126984126984, "acc_norm_stderr": 0.03567016675276864 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.2645161290322581, "acc_stderr": 0.025091892378859275, "acc_norm": 0.2645161290322581, "acc_norm_stderr": 0.025091892378859275 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03010833071801162, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03010833071801162 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.2909090909090909, "acc_stderr": 0.03546563019624336, "acc_norm": 0.2909090909090909, "acc_norm_stderr": 0.03546563019624336 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.2222222222222222, "acc_stderr": 0.029620227874790486, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.029620227874790486 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.22279792746113988, "acc_stderr": 0.03003114797764154, "acc_norm": 0.22279792746113988, "acc_norm_stderr": 0.03003114797764154 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423088, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.021840866990423088 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.26666666666666666, "acc_stderr": 0.02696242432507384, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.02696242432507384 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.23529411764705882, "acc_stderr": 0.027553614467863818, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.027553614467863818 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.2052980132450331, "acc_stderr": 0.03297986648473836, "acc_norm": 0.2052980132450331, "acc_norm_stderr": 0.03297986648473836 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.24036697247706423, "acc_stderr": 0.01832060732096407, "acc_norm": 0.24036697247706423, "acc_norm_stderr": 0.01832060732096407 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.38425925925925924, "acc_stderr": 0.03317354514310742, "acc_norm": 0.38425925925925924, "acc_norm_stderr": 0.03317354514310742 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.24019607843137256, "acc_stderr": 0.02998373305591362, "acc_norm": 0.24019607843137256, "acc_norm_stderr": 0.02998373305591362 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.25316455696202533, "acc_stderr": 0.0283046579430353, "acc_norm": 0.25316455696202533, "acc_norm_stderr": 0.0283046579430353 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.3632286995515695, "acc_stderr": 0.03227790442850499, "acc_norm": 0.3632286995515695, "acc_norm_stderr": 0.03227790442850499 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.2366412213740458, "acc_stderr": 0.037276735755969195, "acc_norm": 0.2366412213740458, "acc_norm_stderr": 0.037276735755969195 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.256198347107438, "acc_stderr": 0.03984979653302871, "acc_norm": 0.256198347107438, "acc_norm_stderr": 0.03984979653302871 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.25925925925925924, "acc_stderr": 0.04236511258094633, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.04236511258094633 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.22085889570552147, "acc_stderr": 0.032591773927421776, "acc_norm": 0.22085889570552147, "acc_norm_stderr": 0.032591773927421776 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.29464285714285715, "acc_stderr": 0.04327040932578728, "acc_norm": 0.29464285714285715, "acc_norm_stderr": 0.04327040932578728 }, "harness\|hendrycksTest-management\|5": { "acc": 0.2621359223300971, "acc_stderr": 0.04354631077260597, "acc_norm": 0.2621359223300971, "acc_norm_stderr": 0.04354631077260597 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.28205128205128205, "acc_stderr": 0.029480360549541194, "acc_norm": 0.28205128205128205, "acc_norm_stderr": 0.029480360549541194 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.280970625798212, "acc_stderr": 0.01607312785122125, "acc_norm": 0.280970625798212, "acc_norm_stderr": 0.01607312785122125 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.2254335260115607, "acc_stderr": 0.022497230190967547, "acc_norm": 0.2254335260115607, "acc_norm_stderr": 0.022497230190967547 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.22681564245810057, "acc_stderr": 0.014005843570897897, "acc_norm": 0.22681564245810057, "acc_norm_stderr": 0.014005843570897897 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.24183006535947713, "acc_stderr": 0.024518195641879334, "acc_norm": 0.24183006535947713, "acc_norm_stderr": 0.024518195641879334 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.26688102893890675, "acc_stderr": 0.02512263760881665, "acc_norm": 0.26688102893890675, "acc_norm_stderr": 0.02512263760881665 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.2654320987654321, "acc_stderr": 0.024569223600460845, "acc_norm": 0.2654320987654321, "acc_norm_stderr": 0.024569223600460845 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.25886524822695034, "acc_stderr": 0.026129572527180848, "acc_norm": 0.25886524822695034, "acc_norm_stderr": 0.026129572527180848 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.23859191655801826, "acc_stderr": 0.0108859297420022, "acc_norm": 0.23859191655801826, "acc_norm_stderr": 0.0108859297420022 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.20220588235294118, "acc_stderr": 0.02439819298665492, "acc_norm": 0.20220588235294118, "acc_norm_stderr": 0.02439819298665492 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.26633986928104575, "acc_stderr": 0.017883188134667192, "acc_norm": 0.26633986928104575, "acc_norm_stderr": 0.017883188134667192 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.3181818181818182, "acc_stderr": 0.04461272175910507, "acc_norm": 0.3181818181818182, "acc_norm_stderr": 0.04461272175910507 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.17142857142857143, "acc_stderr": 0.02412746346265015, "acc_norm": 0.17142857142857143, "acc_norm_stderr": 0.02412746346265015 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.23383084577114427, "acc_stderr": 0.029929415408348384, "acc_norm": 0.23383084577114427, "acc_norm_stderr": 0.029929415408348384 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.3192771084337349, "acc_stderr": 0.03629335329947861, "acc_norm": 0.3192771084337349, "acc_norm_stderr": 0.03629335329947861 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.2807017543859649, "acc_stderr": 0.034462962170884265, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.034462962170884265 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.22031823745410037, "mc1_stderr": 0.014509045171487295, "mc2": 0.3584100057903431, "mc2_stderr": 0.013776314892170112 }, "harness\|winogrande\|5": { "acc": 0.6101026045777427, "acc_stderr": 0.013707547317008463 }, "harness\|gsm8k\|5": { "acc": 0.01592115238817286, "acc_stderr": 0.0034478192723890015 } } ``` ## 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]
chan127ck/temp-dataset	--- license: mit ---
dkshjn/MedpromptCoT	--- dataset_info: features: - name: question dtype: string - name: options dtype: string - name: context dtype: string - name: answer dtype: string splits: - name: train num_bytes: 33862 num_examples: 100 download_size: 0 dataset_size: 33862 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "MedpromptCoT" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
dmrau/cqudupstack-tex	--- configs: - config_name: default data_files: - split: queries path: data/queries-* - split: corpus path: data/corpus-* dataset_info: features: - name: _id dtype: string - name: text dtype: string - name: title dtype: string splits: - name: queries num_bytes: 186934 num_examples: 2906 - name: corpus num_bytes: 86600423 num_examples: 68184 download_size: 43424126 dataset_size: 86787357 --- # Dataset Card for "cqudupstack-tex" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
quan246/MultiMed_News	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: dev path: data/dev-* - split: test path: data/test-* dataset_info: features: - name: translation struct: - name: en dtype: string - name: vi dtype: string splits: - name: train num_bytes: 189631 num_examples: 1000 - name: dev num_bytes: 22160 num_examples: 100 - name: test num_bytes: 628165 num_examples: 2352 download_size: 483746 dataset_size: 839956 --- # Dataset Card for "MultiMed_News" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Tejagoud/sample2testforqa	--- dataset_info: features: - name: image dtype: image - name: id dtype: string - name: query dtype: string - name: answer dtype: string splits: - name: train num_bytes: 3143730.0 num_examples: 7 download_size: 614598 dataset_size: 3143730.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
atgarcia/trainDataset3	--- dataset_info: features: - name: text dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: emg sequence: sequence: float64 splits: - name: train num_bytes: 809926972 num_examples: 548 download_size: 306448547 dataset_size: 809926972 configs: - config_name: default data_files: - split: train path: data/train-* ---
hdeldar/Persian-Text-llama2-1k	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1830325 num_examples: 1000 download_size: 1841325 dataset_size: 1830325 dataset_name: json configs: - config_name: default data_files: - split: train path: data/data-* --- # Persian-Text-QA: Lazy Llama 2 Formatting This is a subset (1k samples) of the [`SeyedAli/Persian-Text-QA`](https://huggingface.co/datasets/SeyedAli/Persian-Text-QA) dataset, processed to match Llama 2's prompt format as described [in this article](https://huggingface.co/blog/llama2#how-to-prompt-llama-2). It was created using the following [colab notebook](https://colab.research.google.com/drive/1Ad7a9zMmkxuXTOh1Z7-rNSICA4dybpM2?usp=sharing). Useful if you don't want to reformat it by yourself (e.g., using a script). It was designed for [this article](https://mlabonne.github.io/blog/posts/Fine_Tune_Your_Own_Llama_2_Model_in_a_Colab_Notebook.html) about fine-tuning a Llama 2 (chat) model in a Google Colab.
gaygaaa/LINKS	--- license: mit ---
Rasi1610/Deathce502merged_series2_3	--- dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 172807217.0 num_examples: 317 - name: val num_bytes: 43245725.0 num_examples: 80 download_size: 215970660 dataset_size: 216052942.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* ---
cmu-lti/sotopia-pi	--- license: cc-by-sa-4.0 --- For details on how the dataset is used, please refer to https://arxiv.org/pdf/2403.08715. ## inspirational_prompt.csv This csv stores full inspirational prompts from three data sources - `social\_iqa`, `social\_chem`, `normbank`. The prompts are used to generate social tasks used in Sotopia-pi. Each inspirational prompt would generate an "Environment" object in Sotopia-pi that specifies the background of the social task. Each environment would be combined with different agent profiles and relationship to generate a comprehensive Compared to Sotopia's inspirational prompts that include cherry-pick a few examples from 6 datasets (`social\_iqa`, `social\_chem`, `normbank`, `deal-or-no-deal`, `persuation_for_good`, `mindcraft`), we does not include `deal-or-no-deal` and `mindcraft` because we think those inspirational prompt is too similar within one dataset and would cause some leakage if we train on them and test on sotopia ones. We also exclude `persuation_for_good` because we cannnot find the exact form of inspirational prompt that is the same with sotopia's inspirational prompt and the previous mentioed three datasets already provide enough inspirational prompts. ## used_prompt.csv This csv stores all used inspirational prompts, their source dataset, and the corresponding environment object id each prompt generated. To refer to the detail content of the environment by prompt, simply use this csv and find the "pk" of the inspirational prompt. ## experiment_episodes.json This json file store the detailed information for all sotopia-pi conversations. Each conversation is a dictionary with: 1. epsiode_id: the unique id of the conversation 2. scenario: the social environment of which the conversation happens under 3. codename: type of the scenario 4. agents_background: a set of two agent's social profile, including age, secret, personality, etc 5. social_goals: a set of two agent's social goal that each aims to achieve in the conversation 6. social_interactions: a list of turn-based conversations between two agents
enryu43/twitter100m_tweets	--- dataset_info: features: - name: user dtype: string - name: id dtype: int64 - name: tweet dtype: string - name: replies dtype: int64 - name: retweets dtype: int64 - name: likes dtype: int64 - name: quotes dtype: int64 - name: date dtype: string splits: - name: train num_bytes: 20356236942 num_examples: 88084332 download_size: 9614694227 dataset_size: 20356236942 --- # Dataset Card for "twitter100m_tweets" Dataset with tweets for [this post](https://medium.com/@enryu9000/fun-with-large-scale-tweet-analysis-783c96b45df4).
CyberHarem/a2_nikke	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of a2/A2/A2/A2 (Nikke: Goddess of Victory) This is the dataset of a2/A2/A2/A2 (Nikke: Goddess of Victory), containing 476 images and their tags. The core tags of this character are `long_hair, breasts, blue_eyes, mole, mole_under_mouth, white_hair, hair_between_eyes, medium_breasts`, 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 \| 476 \| 679.01 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 476 \| 387.98 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1038 \| 742.67 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 476 \| 604.67 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1038 \| 1.03 GiB \| [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/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/a2_nikke', 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 \| 23 \| ![](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, android, armlet, bare_shoulders, black_gloves, elbow_gloves, robot_joints, solo, tank_top, black_shorts, short_shorts, looking_at_viewer, black_thighhighs \| \| 1 \| 35 \| ![](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, android, black_gloves, elbow_gloves, robot_joints, solo, holding_sword, bare_shoulders, black_shorts, short_shorts, tank_top, looking_at_viewer, armlet, black_thighhighs \| \| 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, android, bare_shoulders, black_gloves, black_shorts, elbow_gloves, holding_sword, looking_at_viewer, robot_joints, short_shorts, solo, tank_top, armlet, closed_mouth, collarbone, pink_lips, standing, very_long_hair, black_thighhighs, cowboy_shot, bangs, katana, grey_eyes \| \| 3 \| 7 \| ![](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, android, bare_shoulders, black_gloves, elbow_gloves, looking_at_viewer, robot_joints, simple_background, solo, tank_top, upper_body, white_background, armlet, parted_lips \| \| 4 \| 6 \| ![](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, android, bare_shoulders, black_gloves, collarbone, elbow_gloves, looking_at_viewer, robot_joints, solo, upper_body, closed_mouth, armlet, pink_lips, black_tank_top \| \| 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, android, ass, bare_shoulders, black_gloves, black_shorts, black_thighhighs, elbow_gloves, from_behind, robot_joints, short_shorts, solo, high_heels, holding_sword, looking_back, standing, full_body, looking_at_viewer, thighs \| \| 6 \| 6 \| ![](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, black_dress, black_hairband, black_thighhighs, cleavage_cutout, katana, black_gloves, feather-trimmed_sleeves, holding_sword, juliet_sleeves, looking_at_viewer, short_hair, solo, thigh_boots \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| android \| armlet \| bare_shoulders \| black_gloves \| elbow_gloves \| robot_joints \| solo \| tank_top \| black_shorts \| short_shorts \| looking_at_viewer \| black_thighhighs \| holding_sword \| closed_mouth \| collarbone \| pink_lips \| standing \| very_long_hair \| cowboy_shot \| bangs \| katana \| grey_eyes \| simple_background \| upper_body \| white_background \| parted_lips \| black_tank_top \| ass \| from_behind \| high_heels \| looking_back \| full_body \| thighs \| black_dress \| black_hairband \| cleavage_cutout \| feather-trimmed_sleeves \| juliet_sleeves \| short_hair \| thigh_boots \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:----------\|:---------\|:-----------------\|:---------------\|:---------------\|:---------------\|:-------\|:-----------\|:---------------\|:---------------\|:--------------------\|:-------------------\|:----------------\|:---------------\|:-------------\|:------------\|:-----------\|:-----------------\|:--------------\|:--------\|:---------\|:------------\|:--------------------\|:-------------\|:-------------------\|:--------------\|:-----------------\|:------\|:--------------\|:-------------\|:---------------\|:------------\|:---------\|:--------------\|:-----------------\|:------------------\|:--------------------------\|:-----------------\|:-------------\|:--------------\| \| 0 \| 23 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 35 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 7 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 6 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| 6 \| 6 \| ![](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 \|
stoddur/med_chat_7	--- dataset_info: features: - name: input_ids sequence: int32 - name: labels sequence: int64 splits: - name: train num_bytes: 174024240.0 num_examples: 112710 download_size: 4105947 dataset_size: 174024240.0 --- # Dataset Card for "med_chat_7" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_macadeliccc__Laser-WestLake-2x7b	--- pretty_name: Evaluation run of macadeliccc/Laser-WestLake-2x7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [macadeliccc/Laser-WestLake-2x7b](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b)\ \ 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_macadeliccc__Laser-WestLake-2x7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-27T21:37:13.080453](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Laser-WestLake-2x7b/blob/main/results_2024-01-27T21-37-13.080453.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\": 0.6524530392737511,\n\ \ \"acc_stderr\": 0.032031171056502564,\n \"acc_norm\": 0.6524349886456735,\n\ \ \"acc_norm_stderr\": 0.03269889548892183,\n \"mc1\": 0.5471236230110159,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6924615568479368,\n\ \ \"mc2_stderr\": 0.015144126921968178\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.7005119453924915,\n \"acc_stderr\": 0.01338502163731357,\n\ \ \"acc_norm\": 0.7226962457337884,\n \"acc_norm_stderr\": 0.013082095839059374\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7192790280820553,\n\ \ \"acc_stderr\": 0.004484330827465553,\n \"acc_norm\": 0.8843855805616411,\n\ \ \"acc_norm_stderr\": 0.0031910847927931548\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6444444444444445,\n\ \ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.6444444444444445,\n\ \ \"acc_norm_stderr\": 0.04135176749720385\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\": 0.7094339622641509,\n \"acc_stderr\": 0.027943219989337135,\n\ \ \"acc_norm\": 0.7094339622641509,\n \"acc_norm_stderr\": 0.027943219989337135\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_computer_science\|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness\|hendrycksTest-college_mathematics\|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_medicine\|5\"\ : {\n \"acc\": 0.6705202312138728,\n \"acc_stderr\": 0.03583901754736412,\n\ \ \"acc_norm\": 0.6705202312138728,\n \"acc_norm_stderr\": 0.03583901754736412\n\ \ },\n \"harness\|hendrycksTest-college_physics\|5\": {\n \"acc\": 0.39215686274509803,\n\ \ \"acc_stderr\": 0.048580835742663454,\n \"acc_norm\": 0.39215686274509803,\n\ \ \"acc_norm_stderr\": 0.048580835742663454\n },\n \"harness\|hendrycksTest-computer_security\|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness\|hendrycksTest-conceptual_physics\|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.03202563076101737,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.03202563076101737\n },\n \"harness\|hendrycksTest-econometrics\|5\"\ : {\n \"acc\": 0.5087719298245614,\n \"acc_stderr\": 0.04702880432049615,\n\ \ \"acc_norm\": 0.5087719298245614,\n \"acc_norm_stderr\": 0.04702880432049615\n\ \ },\n \"harness\|hendrycksTest-electrical_engineering\|5\": {\n \"acc\"\ : 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n \"\ acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\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\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\"\ : 0.7838709677419354,\n \"acc_stderr\": 0.02341529343356852,\n \"\ acc_norm\": 0.7838709677419354,\n \"acc_norm_stderr\": 0.02341529343356852\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.49261083743842365,\n \"acc_stderr\": 0.035176035403610084,\n \"\ acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.035176035403610084\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\ : 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.803030303030303,\n \"acc_stderr\": 0.028335609732463362,\n \"\ acc_norm\": 0.803030303030303,\n \"acc_norm_stderr\": 0.028335609732463362\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.02098685459328973,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.02098685459328973\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6692307692307692,\n \"acc_stderr\": 0.02385479568097112,\n \ \ \"acc_norm\": 0.6692307692307692,\n \"acc_norm_stderr\": 0.02385479568097112\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3333333333333333,\n \"acc_stderr\": 0.028742040903948475,\n \ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.028742040903948475\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\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8440366972477065,\n \"acc_stderr\": 0.01555580271359017,\n \"\ acc_norm\": 0.8440366972477065,\n \"acc_norm_stderr\": 0.01555580271359017\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.8382352941176471,\n \"acc_stderr\": 0.025845017986926917,\n\ \ \"acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.025845017986926917\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601446,\n \ \ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601446\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\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\": 0.7962962962962963,\n\ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4375,\n\ \ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \ \ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406957,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406957\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.01354741565866226,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.01354741565866226\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.02370309952525818,\n\ \ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.02370309952525818\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.4435754189944134,\n\ \ \"acc_stderr\": 0.01661568040100372,\n \"acc_norm\": 0.4435754189944134,\n\ \ \"acc_norm_stderr\": 0.01661568040100372\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7091503267973857,\n \"acc_stderr\": 0.02600480036395213,\n\ \ \"acc_norm\": 0.7091503267973857,\n \"acc_norm_stderr\": 0.02600480036395213\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.707395498392283,\n\ \ \"acc_stderr\": 0.02583989833487798,\n \"acc_norm\": 0.707395498392283,\n\ \ \"acc_norm_stderr\": 0.02583989833487798\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7314814814814815,\n \"acc_stderr\": 0.02465968518596728,\n\ \ \"acc_norm\": 0.7314814814814815,\n \"acc_norm_stderr\": 0.02465968518596728\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4680573663624511,\n\ \ \"acc_stderr\": 0.012744149704869649,\n \"acc_norm\": 0.4680573663624511,\n\ \ \"acc_norm_stderr\": 0.012744149704869649\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\": 0.6699346405228758,\n \"acc_stderr\": 0.019023726160724553,\n \ \ \"acc_norm\": 0.6699346405228758,\n \"acc_norm_stderr\": 0.019023726160724553\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\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.845771144278607,\n\ \ \"acc_stderr\": 0.025538433368578334,\n \"acc_norm\": 0.845771144278607,\n\ \ \"acc_norm_stderr\": 0.025538433368578334\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5471236230110159,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6924615568479368,\n\ \ \"mc2_stderr\": 0.015144126921968178\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8579321231254933,\n \"acc_stderr\": 0.009812000391679364\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6353297952994693,\n \ \ \"acc_stderr\": 0.013258428375662247\n }\n}\n```" repo_url: https://huggingface.co/macadeliccc/Laser-WestLake-2x7b 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_27T21_37_13.080453 path: - '/details_harness\|arc:challenge\|25_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-01-27T21-37-13.080453.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|gsm8k\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hellaswag\|10_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-27T21-37-13.080453.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-01-27T21-37-13.080453.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '/details_harness\|winogrande\|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-01-27T21-37-13.080453.parquet' - config_name: results data_files: - split: 2024_01_27T21_37_13.080453 path: - results_2024-01-27T21-37-13.080453.parquet - split: latest path: - results_2024-01-27T21-37-13.080453.parquet --- # Dataset Card for Evaluation run of macadeliccc/Laser-WestLake-2x7b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [macadeliccc/Laser-WestLake-2x7b](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b) 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_macadeliccc__Laser-WestLake-2x7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-27T21:37:13.080453](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Laser-WestLake-2x7b/blob/main/results_2024-01-27T21-37-13.080453.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": 0.6524530392737511, "acc_stderr": 0.032031171056502564, "acc_norm": 0.6524349886456735, "acc_norm_stderr": 0.03269889548892183, "mc1": 0.5471236230110159, "mc1_stderr": 0.01742558984831402, "mc2": 0.6924615568479368, "mc2_stderr": 0.015144126921968178 }, "harness\|arc:challenge\|25": { "acc": 0.7005119453924915, "acc_stderr": 0.01338502163731357, "acc_norm": 0.7226962457337884, "acc_norm_stderr": 0.013082095839059374 }, "harness\|hellaswag\|10": { "acc": 0.7192790280820553, "acc_stderr": 0.004484330827465553, "acc_norm": 0.8843855805616411, "acc_norm_stderr": 0.0031910847927931548 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720385, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720385 }, "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": 0.7094339622641509, "acc_stderr": 0.027943219989337135, "acc_norm": 0.7094339622641509, "acc_norm_stderr": 0.027943219989337135 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.39215686274509803, "acc_stderr": 0.048580835742663454, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.048580835742663454 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6, "acc_stderr": 0.03202563076101737, "acc_norm": 0.6, "acc_norm_stderr": 0.03202563076101737 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "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": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7838709677419354, "acc_stderr": 0.02341529343356852, "acc_norm": 0.7838709677419354, "acc_norm_stderr": 0.02341529343356852 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.49261083743842365, "acc_stderr": 0.035176035403610084, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.035176035403610084 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7757575757575758, "acc_stderr": 0.03256866661681102, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.03256866661681102 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.803030303030303, "acc_stderr": 0.028335609732463362, "acc_norm": 0.803030303030303, "acc_norm_stderr": 0.028335609732463362 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9067357512953368, "acc_stderr": 0.02098685459328973, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.02098685459328973 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6692307692307692, "acc_stderr": 0.02385479568097112, "acc_norm": 0.6692307692307692, "acc_norm_stderr": 0.02385479568097112 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.028742040903948475, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.028742040903948475 }, "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": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8440366972477065, "acc_stderr": 0.01555580271359017, "acc_norm": 0.8440366972477065, "acc_norm_stderr": 0.01555580271359017 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8382352941176471, "acc_stderr": 0.025845017986926917, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.025845017986926917 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7974683544303798, "acc_stderr": 0.026160568246601446, "acc_norm": 0.7974683544303798, "acc_norm_stderr": 0.026160568246601446 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8015267175572519, "acc_stderr": 0.03498149385462472, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.03498149385462472 }, "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": 0.7962962962962963, "acc_stderr": 0.03893542518824847, "acc_norm": 0.7962962962962963, "acc_norm_stderr": 0.03893542518824847 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7668711656441718, "acc_stderr": 0.0332201579577674, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.0332201579577674 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4375, "acc_stderr": 0.04708567521880525, "acc_norm": 0.4375, "acc_norm_stderr": 0.04708567521880525 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406957, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406957 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8263090676883781, "acc_stderr": 0.01354741565866226, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.01354741565866226 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7369942196531792, "acc_stderr": 0.02370309952525818, "acc_norm": 0.7369942196531792, "acc_norm_stderr": 0.02370309952525818 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.4435754189944134, "acc_stderr": 0.01661568040100372, "acc_norm": 0.4435754189944134, "acc_norm_stderr": 0.01661568040100372 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7091503267973857, "acc_stderr": 0.02600480036395213, "acc_norm": 0.7091503267973857, "acc_norm_stderr": 0.02600480036395213 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.707395498392283, "acc_stderr": 0.02583989833487798, "acc_norm": 0.707395498392283, "acc_norm_stderr": 0.02583989833487798 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7314814814814815, "acc_stderr": 0.02465968518596728, "acc_norm": 0.7314814814814815, "acc_norm_stderr": 0.02465968518596728 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4929078014184397, "acc_stderr": 0.02982449855912901, "acc_norm": 0.4929078014184397, "acc_norm_stderr": 0.02982449855912901 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4680573663624511, "acc_stderr": 0.012744149704869649, "acc_norm": 0.4680573663624511, "acc_norm_stderr": 0.012744149704869649 }, "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": 0.6699346405228758, "acc_stderr": 0.019023726160724553, "acc_norm": 0.6699346405228758, "acc_norm_stderr": 0.019023726160724553 }, "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": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.845771144278607, "acc_stderr": 0.025538433368578334, "acc_norm": 0.845771144278607, "acc_norm_stderr": 0.025538433368578334 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685516, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685516 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5471236230110159, "mc1_stderr": 0.01742558984831402, "mc2": 0.6924615568479368, "mc2_stderr": 0.015144126921968178 }, "harness\|winogrande\|5": { "acc": 0.8579321231254933, "acc_stderr": 0.009812000391679364 }, "harness\|gsm8k\|5": { "acc": 0.6353297952994693, "acc_stderr": 0.013258428375662247 } } ``` ## 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 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abideen/lex-0.1	--- dataset_info: features: - name: questions dtype: string - name: answers dtype: string splits: - name: train num_bytes: 824214090 num_examples: 378246 download_size: 435250193 dataset_size: 824214090 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_linlinlin__zephy_SFT_Hermes	--- pretty_name: Evaluation run of linlinlin/zephy_SFT_Hermes dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [linlinlin/zephy_SFT_Hermes](https://huggingface.co/linlinlin/zephy_SFT_Hermes)\ \ 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_linlinlin__zephy_SFT_Hermes\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-11T19:07:56.840567](https://huggingface.co/datasets/open-llm-leaderboard/details_linlinlin__zephy_SFT_Hermes/blob/main/results_2024-03-11T19-07-56.840567.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\": 0.6347543492968393,\n\ \ \"acc_stderr\": 0.03219682236802622,\n \"acc_norm\": 0.6408300570930421,\n\ \ \"acc_norm_stderr\": 0.032843811369361584,\n \"mc1\": 0.2827417380660955,\n\ \ \"mc1_stderr\": 0.015764770836777308,\n \"mc2\": 0.42171719347199227,\n\ \ \"mc2_stderr\": 0.014135019592668293\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5674061433447098,\n \"acc_stderr\": 0.014478005694182528,\n\ \ \"acc_norm\": 0.6032423208191127,\n \"acc_norm_stderr\": 0.014296513020180644\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6292571200955985,\n\ \ \"acc_stderr\": 0.004820166002253078,\n \"acc_norm\": 0.833698466440948,\n\ \ \"acc_norm_stderr\": 0.0037159010850549893\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6222222222222222,\n\ \ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\ \ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316091,\n\ \ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316091\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.028637235639800893,\n\ \ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.028637235639800893\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7291666666666666,\n\ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.7291666666666666,\n\ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n\ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-college_mathematics\|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-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\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201942,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201942\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5787234042553191,\n \"acc_stderr\": 0.03227834510146268,\n\ \ \"acc_norm\": 0.5787234042553191,\n \"acc_norm_stderr\": 0.03227834510146268\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\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\": 0.3888888888888889,\n\ \ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ \ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7774193548387097,\n\ \ \"acc_stderr\": 0.023664216671642514,\n \"acc_norm\": 0.7774193548387097,\n\ \ \"acc_norm_stderr\": 0.023664216671642514\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.032250781083062896,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.032250781083062896\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.0303137105381989,\n \"acc_norm\"\ : 0.7626262626262627,\n \"acc_norm_stderr\": 0.0303137105381989\n },\n\ \ \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n \ \ \"acc\": 0.8652849740932642,\n \"acc_stderr\": 0.02463978909770944,\n\ \ \"acc_norm\": 0.8652849740932642,\n \"acc_norm_stderr\": 0.02463978909770944\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313036,\n\ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313036\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.35185185185185186,\n \"acc_stderr\": 0.02911661760608301,\n \ \ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.02911661760608301\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6680672268907563,\n \"acc_stderr\": 0.03058869701378364,\n \ \ \"acc_norm\": 0.6680672268907563,\n \"acc_norm_stderr\": 0.03058869701378364\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8220183486238533,\n \"acc_stderr\": 0.016399436366612924,\n \"\ acc_norm\": 0.8220183486238533,\n \"acc_norm_stderr\": 0.016399436366612924\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5555555555555556,\n \"acc_stderr\": 0.03388857118502325,\n \"\ acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.03388857118502325\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7941176470588235,\n \"acc_stderr\": 0.028379449451588667,\n \"\ acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.028379449451588667\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7637130801687764,\n \"acc_stderr\": 0.02765215314415927,\n \ \ \"acc_norm\": 0.7637130801687764,\n \"acc_norm_stderr\": 0.02765215314415927\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159463,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159463\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7914110429447853,\n \"acc_stderr\": 0.031921934489347235,\n\ \ \"acc_norm\": 0.7914110429447853,\n \"acc_norm_stderr\": 0.031921934489347235\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5178571428571429,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.5178571428571429,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.036756688322331886,\n\ \ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.036756688322331886\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077823,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077823\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.8186462324393359,\n\ \ \"acc_stderr\": 0.013778693778464076,\n \"acc_norm\": 0.8186462324393359,\n\ \ \"acc_norm_stderr\": 0.013778693778464076\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7167630057803468,\n \"acc_stderr\": 0.024257901705323378,\n\ \ \"acc_norm\": 0.7167630057803468,\n \"acc_norm_stderr\": 0.024257901705323378\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.31620111731843575,\n\ \ \"acc_stderr\": 0.015551673652172552,\n \"acc_norm\": 0.31620111731843575,\n\ \ \"acc_norm_stderr\": 0.015551673652172552\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.02463004897982478,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.02463004897982478\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6881028938906752,\n\ \ \"acc_stderr\": 0.02631185807185416,\n \"acc_norm\": 0.6881028938906752,\n\ \ \"acc_norm_stderr\": 0.02631185807185416\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7345679012345679,\n \"acc_stderr\": 0.024569223600460845,\n\ \ \"acc_norm\": 0.7345679012345679,\n \"acc_norm_stderr\": 0.024569223600460845\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.475177304964539,\n \"acc_stderr\": 0.02979071924382972,\n \ \ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.02979071924382972\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.01272570165695364,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.01272570165695364\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.0286619962023353,\n\ \ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.0286619962023353\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6813725490196079,\n \"acc_stderr\": 0.01885008469646872,\n \ \ \"acc_norm\": 0.6813725490196079,\n \"acc_norm_stderr\": 0.01885008469646872\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.026508590656233264,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.026508590656233264\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.038695433234721015,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.038695433234721015\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160896,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160896\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2827417380660955,\n\ \ \"mc1_stderr\": 0.015764770836777308,\n \"mc2\": 0.42171719347199227,\n\ \ \"mc2_stderr\": 0.014135019592668293\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7805840568271507,\n \"acc_stderr\": 0.01163126836060778\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3707354056103108,\n \ \ \"acc_stderr\": 0.013304267705458431\n }\n}\n```" repo_url: https://huggingface.co/linlinlin/zephy_SFT_Hermes 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_11T19_07_56.840567 path: - '/details_harness\|arc:challenge\|25_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-11T19-07-56.840567.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|gsm8k\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hellaswag\|10_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-11T19-07-56.840567.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-11T19-07-56.840567.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '/details_harness\|winogrande\|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-11T19-07-56.840567.parquet' - config_name: results data_files: - split: 2024_03_11T19_07_56.840567 path: - results_2024-03-11T19-07-56.840567.parquet - split: latest path: - results_2024-03-11T19-07-56.840567.parquet --- # Dataset Card for Evaluation run of linlinlin/zephy_SFT_Hermes <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [linlinlin/zephy_SFT_Hermes](https://huggingface.co/linlinlin/zephy_SFT_Hermes) 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_linlinlin__zephy_SFT_Hermes", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-11T19:07:56.840567](https://huggingface.co/datasets/open-llm-leaderboard/details_linlinlin__zephy_SFT_Hermes/blob/main/results_2024-03-11T19-07-56.840567.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": 0.6347543492968393, "acc_stderr": 0.03219682236802622, "acc_norm": 0.6408300570930421, "acc_norm_stderr": 0.032843811369361584, "mc1": 0.2827417380660955, "mc1_stderr": 0.015764770836777308, "mc2": 0.42171719347199227, "mc2_stderr": 0.014135019592668293 }, "harness\|arc:challenge\|25": { "acc": 0.5674061433447098, "acc_stderr": 0.014478005694182528, "acc_norm": 0.6032423208191127, "acc_norm_stderr": 0.014296513020180644 }, "harness\|hellaswag\|10": { "acc": 0.6292571200955985, "acc_stderr": 0.004820166002253078, "acc_norm": 0.833698466440948, "acc_norm_stderr": 0.0037159010850549893 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6222222222222222, "acc_stderr": 0.04188307537595852, "acc_norm": 0.6222222222222222, "acc_norm_stderr": 0.04188307537595852 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6578947368421053, "acc_stderr": 0.03860731599316091, "acc_norm": 0.6578947368421053, "acc_norm_stderr": 0.03860731599316091 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6830188679245283, "acc_stderr": 0.028637235639800893, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.028637235639800893 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7291666666666666, "acc_stderr": 0.03716177437566017, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.03716177437566017 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "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": 0.3333333333333333, "acc_stderr": 0.04690650298201942, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04690650298201942 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5787234042553191, "acc_stderr": 0.03227834510146268, "acc_norm": 0.5787234042553191, "acc_norm_stderr": 0.03227834510146268 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "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": 0.3888888888888889, "acc_stderr": 0.04360314860077459, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04360314860077459 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642514, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642514 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5024630541871922, "acc_stderr": 0.035179450386910616, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.035179450386910616 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7818181818181819, "acc_stderr": 0.032250781083062896, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.032250781083062896 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7626262626262627, "acc_stderr": 0.0303137105381989, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.0303137105381989 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8652849740932642, "acc_stderr": 0.02463978909770944, "acc_norm": 0.8652849740932642, "acc_norm_stderr": 0.02463978909770944 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6615384615384615, "acc_stderr": 0.023991500500313036, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.023991500500313036 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.35185185185185186, "acc_stderr": 0.02911661760608301, "acc_norm": 0.35185185185185186, "acc_norm_stderr": 0.02911661760608301 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6680672268907563, "acc_stderr": 0.03058869701378364, "acc_norm": 0.6680672268907563, "acc_norm_stderr": 0.03058869701378364 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8220183486238533, "acc_stderr": 0.016399436366612924, "acc_norm": 0.8220183486238533, "acc_norm_stderr": 0.016399436366612924 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5555555555555556, "acc_stderr": 0.03388857118502325, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.03388857118502325 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7941176470588235, "acc_stderr": 0.028379449451588667, "acc_norm": 0.7941176470588235, "acc_norm_stderr": 0.028379449451588667 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7637130801687764, "acc_stderr": 0.02765215314415927, "acc_norm": 0.7637130801687764, "acc_norm_stderr": 0.02765215314415927 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159463, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159463 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7914110429447853, "acc_stderr": 0.031921934489347235, "acc_norm": 0.7914110429447853, "acc_norm_stderr": 0.031921934489347235 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5178571428571429, "acc_stderr": 0.047427623612430116, "acc_norm": 0.5178571428571429, "acc_norm_stderr": 0.047427623612430116 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8349514563106796, "acc_stderr": 0.036756688322331886, "acc_norm": 0.8349514563106796, "acc_norm_stderr": 0.036756688322331886 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077823, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077823 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8186462324393359, "acc_stderr": 0.013778693778464076, "acc_norm": 0.8186462324393359, "acc_norm_stderr": 0.013778693778464076 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7167630057803468, "acc_stderr": 0.024257901705323378, "acc_norm": 0.7167630057803468, "acc_norm_stderr": 0.024257901705323378 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.31620111731843575, "acc_stderr": 0.015551673652172552, "acc_norm": 0.31620111731843575, "acc_norm_stderr": 0.015551673652172552 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7549019607843137, "acc_stderr": 0.02463004897982478, "acc_norm": 0.7549019607843137, "acc_norm_stderr": 0.02463004897982478 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6881028938906752, "acc_stderr": 0.02631185807185416, "acc_norm": 0.6881028938906752, "acc_norm_stderr": 0.02631185807185416 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7345679012345679, "acc_stderr": 0.024569223600460845, "acc_norm": 0.7345679012345679, "acc_norm_stderr": 0.024569223600460845 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.475177304964539, "acc_stderr": 0.02979071924382972, "acc_norm": 0.475177304964539, "acc_norm_stderr": 0.02979071924382972 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.45827900912646674, "acc_stderr": 0.01272570165695364, "acc_norm": 0.45827900912646674, "acc_norm_stderr": 0.01272570165695364 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6654411764705882, "acc_stderr": 0.0286619962023353, "acc_norm": 0.6654411764705882, "acc_norm_stderr": 0.0286619962023353 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6813725490196079, "acc_stderr": 0.01885008469646872, "acc_norm": 0.6813725490196079, "acc_norm_stderr": 0.01885008469646872 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302506, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302506 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8308457711442786, "acc_stderr": 0.026508590656233264, "acc_norm": 0.8308457711442786, "acc_norm_stderr": 0.026508590656233264 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5542168674698795, "acc_stderr": 0.038695433234721015, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.038695433234721015 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8421052631578947, "acc_stderr": 0.027966785859160896, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160896 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2827417380660955, "mc1_stderr": 0.015764770836777308, "mc2": 0.42171719347199227, "mc2_stderr": 0.014135019592668293 }, "harness\|winogrande\|5": { "acc": 0.7805840568271507, "acc_stderr": 0.01163126836060778 }, "harness\|gsm8k\|5": { "acc": 0.3707354056103108, "acc_stderr": 0.013304267705458431 } } ``` ## 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]
justinsiow/fathomnet-test	--- dataset_info: features: - name: image dtype: image - name: image_id dtype: int64 - name: width dtype: int64 - name: height dtype: int64 splits: - name: test num_bytes: 22257603152.424 num_examples: 10744 download_size: 22919610639 dataset_size: 22257603152.424 --- # Dataset Card for "fathomnet-test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/kamado_nezuko_demonslayer	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of kamado_nezuko (Kimetsu no Yaiba) This is the dataset of kamado_nezuko (Kimetsu no Yaiba), containing 200 images and their tags. 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)).
KentoTsu/EliseRato	--- license: openrail ---
tarudesu/ViHealthQA	--- task_categories: - question-answering language: - vi tags: - medical pretty_name: Vietnamese Healthcare Question Answering Dataset size_categories: - 10K<n<100K --- ## Disclaimer: The dataset may contain personal information crawled along with the contents of various sources. Please make a filter in pre-processing data before starting your research training. # SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts This is the official repository for the ViHealthQA dataset from the paper [SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts](https://arxiv.org/pdf/2206.09600.pdf), which was accepted at the [KSEM-2022](https://ksem22.smart-conf.net/index.html). # Citation Information The provided dataset is only used for research purposes! ``` @InProceedings{nguyen2022viheathqa, author="Nguyen, Nhung Thi-Hong and Ha, Phuong Phan-Dieu and Nguyen, Luan Thanh and Van Nguyen, Kiet and Nguyen, Ngan Luu-Thuy", title="SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts", booktitle="Knowledge Science, Engineering and Management", year="2022", publisher="Springer International Publishing", address="Cham", pages="371--382", isbn="978-3-031-10986-7" } ``` # Abstract Question answering (QA) systems have gained explosive attention in recent years. However, QA tasks in Vietnamese do not have many datasets. Significantly, there is mostly no dataset in the medical domain. Therefore, we built a Vietnamese Healthcare Question Answering dataset (ViHealthQA), including 10,015 question-answer passage pairs for this task, in which questions from health-interested users were asked on prestigious health websites and answers from highly qualified experts. This paper proposes a two-stage QA system based on Sentence-BERT (SBERT) using multiple negatives ranking (MNR) loss combined with BM25. Then, we conduct diverse experiments with many bag-of-words models to assess our system’s performance. With the obtained results, this system achieves better performance than traditional methods. # Dataset The ViHealthQA dataset is consist of 10,015 question-answer passage pairs. Note that questions are from health-interested users asked on prestigious health websites and answers are from highly qualified experts. The dataset is divided into three parts as below: 1. Train set: 7.01K question-answer pairs 2. Valid set: 2.01 question-answer pairs 3. Test set: 993 question-answer pairs # Contact Please feel free to contact us by email luannt@uit.edu.vn if you have any further information!
dim/ru_turbo_alpaca_evol_instruct_3k	--- license: mit dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: iteration dtype: int64 splits: - name: train num_bytes: 6677510 num_examples: 3000 download_size: 3214805 dataset_size: 6677510 ---
argilla/databricks-dolly-15k-curated-multilingual	--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string - name: instruction_original_en dtype: string - name: context_original_en dtype: string - name: response_original_en dtype: string - name: id dtype: int64 splits: - name: de num_bytes: 25985140 num_examples: 15015 - name: en num_bytes: 24125109 num_examples: 15015 - name: es num_bytes: 25902709 num_examples: 15015 - name: fr num_bytes: 26704314 num_examples: 15015 download_size: 65586669 dataset_size: 102717272 license: cc-by-sa-3.0 task_categories: - text-generation - text2text-generation language: - es - de - fr tags: - machine-translated - instruction-following pretty_name: Databrick Dolly Instructions Multilingual size_categories: - 10K<n<100K --- # Dataset Card for "databricks-dolly-15k-curated-multilingual" A curated and multilingual version of the Databricks Dolly instructions dataset. It includes a programmatically and manually corrected version of the original `en` dataset. See below. STATUS: Currently, the original Dolly v2 English version has been curated combining automatic processing and collaborative human curation using Argilla (~400 records have been manually edited and fixed). The following graph shows a summary about the number of edited fields. ![Edited records](edited_records.png) ## 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: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/ - Repository: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/ - Paper: - Leaderboard: - Point of Contact: contact@argilla.io, https://github.com/argilla-io/argilla ### Dataset Summary This dataset collection is a curated and machine-translated version of the `databricks-dolly-15k` [dataset](https://github.com/databrickslabs/dolly/tree/master/data) originally created by Databricks, Inc. in 2023. The goal is to give practitioners a starting point for training open-source instruction-following models with better-quality English data and translated data beyond English. However, as the translation quality will not be perfect, we highly recommend dedicating time to curate and fix translation issues. Below we explain how to load the datasets into [Argilla for data curation and fixing](https://github.com/argilla-io/argilla). Additionally, we'll be improving the datasets made available here, with the help of different communities. Currently, the original English version has been curated combining automatic processing and collaborative human curation using Argilla (~400 records have been manually edited and fixed). The following graph shows a summary of the number of edited fields. The main issues (likely many issues still remaining) are the following: 1. Some labelers misunderstood the usage of the `context` field. This `context` field is used as part of the prompt for instruction-tuning and in other works it's called `input` (e.g., Alpaca). Likely, the name context, has led to some labelers using it to provide the full context of where they have extracted the response. This is problematic for some types of tasks (summarization, closed-qa or information-extraction) because sometimes the context is shorter than or unrelated to summaries, or the information cannot be extracted from the context (closed-qa, information-extraction). 2. Some labelers misunderstood the way to give instructions for summarization or closed-qa, for example, they ask: Who is Thomas Jefferson? then provide a very long context and a response equally long. We programmatically identified records with these potential issues and ran a campaign to fix it and as a result more than 400 records have been adapted. See below for statistics: ![Edited records](edited_records.png) As a result of this curation process the content of the fields has been reduced, counted in number of tokens, especially for the responses: ![Edited records](tokens_diff.png) If you want to browse and curate your dataset with Argilla, you can: 1. [Duplicate this Space](https://huggingface.co/spaces/argilla/dolly-multilingual-curation/settings?duplicate=true). IMPORTANT: The Space's Visibility need to be Public, but you can setup your own password and API KEYS [following this guide](https://docs.argilla.io/en/latest/getting_started/installation/deployments/huggingface-spaces.html#setting-up-secret-environment-variables). 2. Setup two secrets: `HF_TOKEN` and `LANG` for indicating the language split 3. Login with `admin`/`12345678` and start browsing and labelling. 4. Start labeling. Every 5 min the validations will be stored on a Hub dataset in your personal HF space. 5. Please get in touch to contribute fixes and improvements to the source datasets. There's one split per language: ```python from datasets import load_dataset # loads all splits load_dataset("argilla/databricks-dolly-15k-curate-multilingual") # loads Spanish splits load_dataset("argilla/databricks-dolly-15k-curated-multilingual", split="es") ``` ### Supported Tasks and Leaderboards As described in the README of the original dataset, this dataset can be used for: * Training LLMs * Synthetic Data Generation * Data Augmentation ### Languages Currently: `es`, `fr`, `de`, `en` Join Argilla [Slack community](https://join.slack.com/t/rubrixworkspace/shared_invite/zt-whigkyjn-a3IUJLD7gDbTZ0rKlvcJ5g) if you want to help us include other languages. ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits There's one split per language: ```python from datasets import load_dataset # loads all splits load_dataset("argilla/databricks-dolly-15k-multilingual") # loads Spanish splits load_dataset("argilla/databricks-dolly-15k-multilingual", split="es") ``` ## Dataset Creation These datasets have been translated using the DeepL API from the original English dataset between the 13th and 14th of April ### Curation Logbook * 28/04/23: Removed references from Wikipedia copy pastes for 8113 rows. Applied to context and response fields with the following regex: `r'\[[\w]+\]'` ### Source Data #### Initial Data Collection and Normalization Refer to the [original dataset](https://github.com/databrickslabs/dolly/tree/master/data) for more information. #### Who are the source language producers? [More Information Needed] ### Annotations Annotations are planned but not performed yet. #### 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 This dataset can be used for any purpose, whether academic or commercial, under the terms of the [Creative Commons Attribution-ShareAlike 3.0 Unported License](https://creativecommons.org/licenses/by-sa/3.0/legalcode). Original dataset Owner: Databricks, Inc. ### Citation Information [More Information Needed]
NathanRoll/TalkBank_CA_CABNC_5	--- dataset_info: features: - name: audio sequence: float32 - name: __index_level_0__ dtype: string splits: - name: train num_bytes: 17917023985 num_examples: 99 download_size: 17934314304 dataset_size: 17917023985 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "TalkBank_CA_CABNC_5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ongknsro/nekos-nonnekos	--- task_categories: - image-classification pretty_name: neko or non_neko size_categories: - 1K<n<10K --- A dataset of SD-generated images of anime neko characters vs. non_neko characters.
open-llm-leaderboard/details_LLMs__WizardLM-30B-V1.0	--- pretty_name: Evaluation run of LLMs/WizardLM-30B-V1.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [LLMs/WizardLM-30B-V1.0](https://huggingface.co/LLMs/WizardLM-30B-V1.0) 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 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_LLMs__WizardLM-30B-V1.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-30T02:37:12.561310](https://huggingface.co/datasets/open-llm-leaderboard/details_LLMs__WizardLM-30B-V1.0/blob/main/results_2023-10-30T02-37-12.561310.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\": 0.286493288590604,\n\ \ \"em_stderr\": 0.0046301590416793666,\n \"f1\": 0.3621350671140946,\n\ \ \"f1_stderr\": 0.00452241220066869,\n \"acc\": 0.4967032138503913,\n\ \ \"acc_stderr\": 0.011557270415432395\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.286493288590604,\n \"em_stderr\": 0.0046301590416793666,\n\ \ \"f1\": 0.3621350671140946,\n \"f1_stderr\": 0.00452241220066869\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.21834723275208492,\n \ \ \"acc_stderr\": 0.011379497266738049\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7750591949486977,\n \"acc_stderr\": 0.011735043564126742\n\ \ }\n}\n```" repo_url: https://huggingface.co/LLMs/WizardLM-30B-V1.0 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_36_33.189763 path: - '/details_harness\|arc:challenge\|25_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-22T13:36:33.189763.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_17T07_27_45.879930 path: - '/details_harness\|drop\|3_2023-10-17T07-27-45.879930.parquet' - split: 2023_10_30T02_37_12.561310 path: - '/details_harness\|drop\|3_2023-10-30T02-37-12.561310.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-30T02-37-12.561310.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_17T07_27_45.879930 path: - '/details_harness\|gsm8k\|5_2023-10-17T07-27-45.879930.parquet' - split: 2023_10_30T02_37_12.561310 path: - '/details_harness\|gsm8k\|5_2023-10-30T02-37-12.561310.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-30T02-37-12.561310.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hellaswag\|10_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:36:33.189763.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_22T13_36_33.189763 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-22T13:36:33.189763.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_17T07_27_45.879930 path: - '/details_harness\|winogrande\|5_2023-10-17T07-27-45.879930.parquet' - split: 2023_10_30T02_37_12.561310 path: - '/details_harness\|winogrande\|5_2023-10-30T02-37-12.561310.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-30T02-37-12.561310.parquet' - config_name: results data_files: - split: 2023_10_17T07_27_45.879930 path: - results_2023-10-17T07-27-45.879930.parquet - split: 2023_10_30T02_37_12.561310 path: - results_2023-10-30T02-37-12.561310.parquet - split: latest path: - results_2023-10-30T02-37-12.561310.parquet --- # Dataset Card for Evaluation run of LLMs/WizardLM-30B-V1.0 ## Dataset Description - Homepage: - Repository: https://huggingface.co/LLMs/WizardLM-30B-V1.0 - 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 [LLMs/WizardLM-30B-V1.0](https://huggingface.co/LLMs/WizardLM-30B-V1.0) 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 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_LLMs__WizardLM-30B-V1.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-30T02:37:12.561310](https://huggingface.co/datasets/open-llm-leaderboard/details_LLMs__WizardLM-30B-V1.0/blob/main/results_2023-10-30T02-37-12.561310.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": 0.286493288590604, "em_stderr": 0.0046301590416793666, "f1": 0.3621350671140946, "f1_stderr": 0.00452241220066869, "acc": 0.4967032138503913, "acc_stderr": 0.011557270415432395 }, "harness\|drop\|3": { "em": 0.286493288590604, "em_stderr": 0.0046301590416793666, "f1": 0.3621350671140946, "f1_stderr": 0.00452241220066869 }, "harness\|gsm8k\|5": { "acc": 0.21834723275208492, "acc_stderr": 0.011379497266738049 }, "harness\|winogrande\|5": { "acc": 0.7750591949486977, "acc_stderr": 0.011735043564126742 } } ``` ### 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]
Zexuan/soc_data	--- license: apache-2.0 task_categories: - text-classification tags: - finance pretty_name: job posting occupation classification size_categories: - 10M<n<100M ---
boborr/twil	--- license: openrail ---
open-llm-leaderboard/details_hongzoh__Yi-6B_Open-Orca	--- pretty_name: Evaluation run of hongzoh/Yi-6B_Open-Orca dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [hongzoh/Yi-6B_Open-Orca](https://huggingface.co/hongzoh/Yi-6B_Open-Orca) 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_hongzoh__Yi-6B_Open-Orca\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-30T16:23:51.884120](https://huggingface.co/datasets/open-llm-leaderboard/details_hongzoh__Yi-6B_Open-Orca/blob/main/results_2024-03-30T16-23-51.884120.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\": 0.5717858475028725,\n\ \ \"acc_stderr\": 0.033155143858099624,\n \"acc_norm\": 0.5813524540566153,\n\ \ \"acc_norm_stderr\": 0.033897650897487565,\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38629872708898366,\n\ \ \"mc2_stderr\": 0.013894111895665723\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.45819112627986347,\n \"acc_stderr\": 0.014560220308714695,\n\ \ \"acc_norm\": 0.5119453924914675,\n \"acc_norm_stderr\": 0.014607220340597167\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.4929296952798247,\n\ \ \"acc_stderr\": 0.004989282516055395,\n \"acc_norm\": 0.6959768970324637,\n\ \ \"acc_norm_stderr\": 0.0045905235720580155\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.5037037037037037,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.5037037037037037,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.5921052631578947,\n \"acc_stderr\": 0.039993097127774734,\n\ \ \"acc_norm\": 0.5921052631578947,\n \"acc_norm_stderr\": 0.039993097127774734\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6150943396226415,\n \"acc_stderr\": 0.02994649856769995,\n\ \ \"acc_norm\": 0.6150943396226415,\n \"acc_norm_stderr\": 0.02994649856769995\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6597222222222222,\n\ \ \"acc_stderr\": 0.039621355734862175,\n \"acc_norm\": 0.6597222222222222,\n\ \ \"acc_norm_stderr\": 0.039621355734862175\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.43,\n\ \ \"acc_norm_stderr\": 0.049756985195624284\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\": 0.5722543352601156,\n\ \ \"acc_stderr\": 0.037724468575180276,\n \"acc_norm\": 0.5722543352601156,\n\ \ \"acc_norm_stderr\": 0.037724468575180276\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062947,\n\ \ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062947\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.502127659574468,\n \"acc_stderr\": 0.03268572658667492,\n\ \ \"acc_norm\": 0.502127659574468,\n \"acc_norm_stderr\": 0.03268572658667492\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.044346007015849245,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.044346007015849245\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.041546596717075474,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.041546596717075474\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.35714285714285715,\n \"acc_stderr\": 0.024677862841332783,\n \"\ acc_norm\": 0.35714285714285715,\n \"acc_norm_stderr\": 0.024677862841332783\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.38095238095238093,\n\ \ \"acc_stderr\": 0.04343525428949097,\n \"acc_norm\": 0.38095238095238093,\n\ \ \"acc_norm_stderr\": 0.04343525428949097\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.7516129032258064,\n\ \ \"acc_stderr\": 0.02458002892148101,\n \"acc_norm\": 0.7516129032258064,\n\ \ \"acc_norm_stderr\": 0.02458002892148101\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.03517603540361008,\n\ \ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.03517603540361008\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \"acc_norm\"\ : 0.58,\n \"acc_norm_stderr\": 0.04960449637488583\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.6909090909090909,\n \"acc_stderr\": 0.036085410115739666,\n\ \ \"acc_norm\": 0.6909090909090909,\n \"acc_norm_stderr\": 0.036085410115739666\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586804,\n \"\ acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586804\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.7875647668393783,\n \"acc_stderr\": 0.029519282616817227,\n\ \ \"acc_norm\": 0.7875647668393783,\n \"acc_norm_stderr\": 0.029519282616817227\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5794871794871795,\n \"acc_stderr\": 0.02502861027671086,\n \ \ \"acc_norm\": 0.5794871794871795,\n \"acc_norm_stderr\": 0.02502861027671086\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.25925925925925924,\n \"acc_stderr\": 0.02671924078371216,\n \ \ \"acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.02671924078371216\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.03068473711513537,\n \ \ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.03068473711513537\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7944954128440367,\n \"acc_stderr\": 0.017324352325016022,\n \"\ acc_norm\": 0.7944954128440367,\n \"acc_norm_stderr\": 0.017324352325016022\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.47685185185185186,\n \"acc_stderr\": 0.03406315360711507,\n \"\ acc_norm\": 0.47685185185185186,\n \"acc_norm_stderr\": 0.03406315360711507\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7107843137254902,\n \"acc_stderr\": 0.031822318676475524,\n \"\ acc_norm\": 0.7107843137254902,\n \"acc_norm_stderr\": 0.031822318676475524\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7215189873417721,\n \"acc_stderr\": 0.029178682304842548,\n \ \ \"acc_norm\": 0.7215189873417721,\n \"acc_norm_stderr\": 0.029178682304842548\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6367713004484304,\n\ \ \"acc_stderr\": 0.032277904428505,\n \"acc_norm\": 0.6367713004484304,\n\ \ \"acc_norm_stderr\": 0.032277904428505\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864907,\n\ \ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864907\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7177914110429447,\n \"acc_stderr\": 0.03536117886664743,\n\ \ \"acc_norm\": 0.7177914110429447,\n \"acc_norm_stderr\": 0.03536117886664743\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.044642857142857116,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.044642857142857116\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531772,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531772\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8418803418803419,\n\ \ \"acc_stderr\": 0.023902325549560396,\n \"acc_norm\": 0.8418803418803419,\n\ \ \"acc_norm_stderr\": 0.023902325549560396\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\": 0.7177522349936143,\n\ \ \"acc_stderr\": 0.01609530296987855,\n \"acc_norm\": 0.7177522349936143,\n\ \ \"acc_norm_stderr\": 0.01609530296987855\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6676300578034682,\n \"acc_stderr\": 0.02536116874968823,\n\ \ \"acc_norm\": 0.6676300578034682,\n \"acc_norm_stderr\": 0.02536116874968823\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.3463687150837989,\n\ \ \"acc_stderr\": 0.015913546784020117,\n \"acc_norm\": 0.3463687150837989,\n\ \ \"acc_norm_stderr\": 0.015913546784020117\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6339869281045751,\n \"acc_stderr\": 0.027582811415159617,\n\ \ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.027582811415159617\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6688102893890675,\n\ \ \"acc_stderr\": 0.026730620728004913,\n \"acc_norm\": 0.6688102893890675,\n\ \ \"acc_norm_stderr\": 0.026730620728004913\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6327160493827161,\n \"acc_stderr\": 0.026822801759507894,\n\ \ \"acc_norm\": 0.6327160493827161,\n \"acc_norm_stderr\": 0.026822801759507894\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291488,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291488\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4335071707953064,\n\ \ \"acc_stderr\": 0.012656810383983969,\n \"acc_norm\": 0.4335071707953064,\n\ \ \"acc_norm_stderr\": 0.012656810383983969\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.4963235294117647,\n \"acc_stderr\": 0.030372015885428195,\n\ \ \"acc_norm\": 0.4963235294117647,\n \"acc_norm_stderr\": 0.030372015885428195\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6078431372549019,\n \"acc_stderr\": 0.019751726508762637,\n \ \ \"acc_norm\": 0.6078431372549019,\n \"acc_norm_stderr\": 0.019751726508762637\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.5727272727272728,\n\ \ \"acc_stderr\": 0.04738198703545483,\n \"acc_norm\": 0.5727272727272728,\n\ \ \"acc_norm_stderr\": 0.04738198703545483\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\": 0.7711442786069652,\n\ \ \"acc_stderr\": 0.029705284056772436,\n \"acc_norm\": 0.7711442786069652,\n\ \ \"acc_norm_stderr\": 0.029705284056772436\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.42771084337349397,\n\ \ \"acc_stderr\": 0.038515976837185335,\n \"acc_norm\": 0.42771084337349397,\n\ \ \"acc_norm_stderr\": 0.038515976837185335\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7719298245614035,\n \"acc_stderr\": 0.032180937956023566,\n\ \ \"acc_norm\": 0.7719298245614035,\n \"acc_norm_stderr\": 0.032180937956023566\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38629872708898366,\n\ \ \"mc2_stderr\": 0.013894111895665723\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7040252565114443,\n \"acc_stderr\": 0.012829348226339006\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.13191811978771797,\n \ \ \"acc_stderr\": 0.009321265253857517\n }\n}\n```" repo_url: https://huggingface.co/hongzoh/Yi-6B_Open-Orca 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_30T15_24_31.081696 path: - '/details_harness\|arc:challenge\|25_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|arc:challenge\|25_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-30T16-23-51.884120.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|gsm8k\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|gsm8k\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hellaswag\|10_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hellaswag\|10_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-30T15-24-31.081696.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-30T16-23-51.884120.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-30T16-23-51.884120.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '/details_harness\|winogrande\|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '/details_harness\|winogrande\|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-30T16-23-51.884120.parquet' - config_name: results data_files: - split: 2024_03_30T15_24_31.081696 path: - results_2024-03-30T15-24-31.081696.parquet - split: 2024_03_30T16_23_51.884120 path: - results_2024-03-30T16-23-51.884120.parquet - split: latest path: - results_2024-03-30T16-23-51.884120.parquet --- # Dataset Card for Evaluation run of hongzoh/Yi-6B_Open-Orca <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [hongzoh/Yi-6B_Open-Orca](https://huggingface.co/hongzoh/Yi-6B_Open-Orca) 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_hongzoh__Yi-6B_Open-Orca", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-30T16:23:51.884120](https://huggingface.co/datasets/open-llm-leaderboard/details_hongzoh__Yi-6B_Open-Orca/blob/main/results_2024-03-30T16-23-51.884120.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": 0.5717858475028725, "acc_stderr": 0.033155143858099624, "acc_norm": 0.5813524540566153, "acc_norm_stderr": 0.033897650897487565, "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38629872708898366, "mc2_stderr": 0.013894111895665723 }, "harness\|arc:challenge\|25": { "acc": 0.45819112627986347, "acc_stderr": 0.014560220308714695, "acc_norm": 0.5119453924914675, "acc_norm_stderr": 0.014607220340597167 }, "harness\|hellaswag\|10": { "acc": 0.4929296952798247, "acc_stderr": 0.004989282516055395, "acc_norm": 0.6959768970324637, "acc_norm_stderr": 0.0045905235720580155 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5037037037037037, "acc_stderr": 0.04319223625811331, "acc_norm": 0.5037037037037037, "acc_norm_stderr": 0.04319223625811331 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.5921052631578947, "acc_stderr": 0.039993097127774734, "acc_norm": 0.5921052631578947, "acc_norm_stderr": 0.039993097127774734 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6150943396226415, "acc_stderr": 0.02994649856769995, "acc_norm": 0.6150943396226415, "acc_norm_stderr": 0.02994649856769995 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6597222222222222, "acc_stderr": 0.039621355734862175, "acc_norm": 0.6597222222222222, "acc_norm_stderr": 0.039621355734862175 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "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": 0.5722543352601156, "acc_stderr": 0.037724468575180276, "acc_norm": 0.5722543352601156, "acc_norm_stderr": 0.037724468575180276 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.35294117647058826, "acc_stderr": 0.04755129616062947, "acc_norm": 0.35294117647058826, "acc_norm_stderr": 0.04755129616062947 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.502127659574468, "acc_stderr": 0.03268572658667492, "acc_norm": 0.502127659574468, "acc_norm_stderr": 0.03268572658667492 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.044346007015849245, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.044346007015849245 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5379310344827586, "acc_stderr": 0.041546596717075474, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.041546596717075474 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.35714285714285715, "acc_stderr": 0.024677862841332783, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.024677862841332783 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949097, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949097 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7516129032258064, "acc_stderr": 0.02458002892148101, "acc_norm": 0.7516129032258064, "acc_norm_stderr": 0.02458002892148101 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.49261083743842365, "acc_stderr": 0.03517603540361008, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.03517603540361008 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.58, "acc_stderr": 0.04960449637488583, "acc_norm": 0.58, "acc_norm_stderr": 0.04960449637488583 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.6909090909090909, "acc_stderr": 0.036085410115739666, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.036085410115739666 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7878787878787878, "acc_stderr": 0.029126522834586804, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.029126522834586804 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.7875647668393783, "acc_stderr": 0.029519282616817227, "acc_norm": 0.7875647668393783, "acc_norm_stderr": 0.029519282616817227 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5794871794871795, "acc_stderr": 0.02502861027671086, "acc_norm": 0.5794871794871795, "acc_norm_stderr": 0.02502861027671086 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.25925925925925924, "acc_stderr": 0.02671924078371216, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.02671924078371216 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6638655462184874, "acc_stderr": 0.03068473711513537, "acc_norm": 0.6638655462184874, "acc_norm_stderr": 0.03068473711513537 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7944954128440367, "acc_stderr": 0.017324352325016022, "acc_norm": 0.7944954128440367, "acc_norm_stderr": 0.017324352325016022 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.47685185185185186, "acc_stderr": 0.03406315360711507, "acc_norm": 0.47685185185185186, "acc_norm_stderr": 0.03406315360711507 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7107843137254902, "acc_stderr": 0.031822318676475524, "acc_norm": 0.7107843137254902, "acc_norm_stderr": 0.031822318676475524 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7215189873417721, "acc_stderr": 0.029178682304842548, "acc_norm": 0.7215189873417721, "acc_norm_stderr": 0.029178682304842548 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6367713004484304, "acc_stderr": 0.032277904428505, "acc_norm": 0.6367713004484304, "acc_norm_stderr": 0.032277904428505 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6412213740458015, "acc_stderr": 0.04206739313864907, "acc_norm": 0.6412213740458015, "acc_norm_stderr": 0.04206739313864907 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302871, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302871 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7177914110429447, "acc_stderr": 0.03536117886664743, "acc_norm": 0.7177914110429447, "acc_norm_stderr": 0.03536117886664743 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.33035714285714285, "acc_stderr": 0.044642857142857116, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.044642857142857116 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.03989139859531772, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.03989139859531772 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8418803418803419, "acc_stderr": 0.023902325549560396, "acc_norm": 0.8418803418803419, "acc_norm_stderr": 0.023902325549560396 }, "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": 0.7177522349936143, "acc_stderr": 0.01609530296987855, "acc_norm": 0.7177522349936143, "acc_norm_stderr": 0.01609530296987855 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6676300578034682, "acc_stderr": 0.02536116874968823, "acc_norm": 0.6676300578034682, "acc_norm_stderr": 0.02536116874968823 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.3463687150837989, "acc_stderr": 0.015913546784020117, "acc_norm": 0.3463687150837989, "acc_norm_stderr": 0.015913546784020117 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6339869281045751, "acc_stderr": 0.027582811415159617, "acc_norm": 0.6339869281045751, "acc_norm_stderr": 0.027582811415159617 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6688102893890675, "acc_stderr": 0.026730620728004913, "acc_norm": 0.6688102893890675, "acc_norm_stderr": 0.026730620728004913 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6327160493827161, "acc_stderr": 0.026822801759507894, "acc_norm": 0.6327160493827161, "acc_norm_stderr": 0.026822801759507894 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291488, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291488 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4335071707953064, "acc_stderr": 0.012656810383983969, "acc_norm": 0.4335071707953064, "acc_norm_stderr": 0.012656810383983969 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.4963235294117647, "acc_stderr": 0.030372015885428195, "acc_norm": 0.4963235294117647, "acc_norm_stderr": 0.030372015885428195 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6078431372549019, "acc_stderr": 0.019751726508762637, "acc_norm": 0.6078431372549019, "acc_norm_stderr": 0.019751726508762637 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.5727272727272728, "acc_stderr": 0.04738198703545483, "acc_norm": 0.5727272727272728, "acc_norm_stderr": 0.04738198703545483 }, "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": 0.7711442786069652, "acc_stderr": 0.029705284056772436, "acc_norm": 0.7711442786069652, "acc_norm_stderr": 0.029705284056772436 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.86, "acc_stderr": 0.03487350880197769, "acc_norm": 0.86, "acc_norm_stderr": 0.03487350880197769 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.42771084337349397, "acc_stderr": 0.038515976837185335, "acc_norm": 0.42771084337349397, "acc_norm_stderr": 0.038515976837185335 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7719298245614035, "acc_stderr": 0.032180937956023566, "acc_norm": 0.7719298245614035, "acc_norm_stderr": 0.032180937956023566 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38629872708898366, "mc2_stderr": 0.013894111895665723 }, "harness\|winogrande\|5": { "acc": 0.7040252565114443, "acc_stderr": 0.012829348226339006 }, "harness\|gsm8k\|5": { "acc": 0.13191811978771797, "acc_stderr": 0.009321265253857517 } } ``` ## 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]
Ammar-Azman/shinjiru-blog	--- license: mit ---
CyberHarem/anzu_pokemon	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of anzu/アンズ (Pokémon) This is the dataset of anzu/アンズ (Pokémon), containing 82 images and their tags. The core tags of this character are `purple_hair, purple_eyes, breasts`, 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 \| 82 \| 52.99 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 82 \| 37.47 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 138 \| 62.31 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 82 \| 48.61 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 138 \| 77.30 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/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/anzu_pokemon', 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, blush, ninja, closed_mouth, looking_at_viewer, solo, purple_scarf, smile \| \| 1 \| 7 \| ![](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, ninja, scarf, fishnets, ponytail, black_hair, japanese_clothes, pokemon_(creature) \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| blush \| ninja \| closed_mouth \| looking_at_viewer \| solo \| purple_scarf \| smile \| scarf \| fishnets \| ponytail \| black_hair \| japanese_clothes \| pokemon_(creature) \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:--------\|:--------\|:---------------\|:--------------------\|:-------\|:---------------\|:--------\|:--------\|:-----------\|:-----------\|:-------------\|:-------------------\|:---------------------\| \| 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 \| \| \| \| \| \| \| \| 1 \| 7 \| ![](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 \|
carnival13/massive_val_DA2_tokenized	--- dataset_info: features: - name: pass_label dtype: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 16518290 num_examples: 24160 download_size: 3770585 dataset_size: 16518290 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "massive_val_DA2_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Fredithefish/GPTeacher-for-RedPajama-Chat	--- license: apache-2.0 ---
dvinagre/euskera-speaker-embeddings	--- dataset_info: features: - name: speaker_embeddings sequence: float64 splits: - name: train num_bytes: 40286600 num_examples: 9826 download_size: 33659727 dataset_size: 40286600 --- # Dataset Card for "euskera-speaker-embeddings" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
pszemraj/fleece2instructions	--- license: cc-by-4.0 source_datasets: tatsu-lab/alpaca task_categories: - text-generation - text2text-generation language: - en tags: - alpaca - instruction generation size_categories: - 10K<n<100K --- # The [`tatsu-lab/alpaca` dataset](https://huggingface.co/datasets/tatsu-lab/alpaca) was split into train/test/val with the goal of training text-to-text generation models to generate instruction prompts corresponding to arbitrary text. To do this, you would use - `output` as the text2text model input column - `instruction` as the text2text model target/output column ## modifications & filtering Rows that used the column `input` in the original dataset, and rows where the `output` column contains less than 8 words were dropped. Link to [function used to filter](https://gist.github.com/pszemraj/3633acb0cf3288d49b7bee550e756839) the original dataset after splitting - The filter_dataset function reads datasets, counts tokens in specified columns, filters rows based on a minimum number of tokens, drops specified columns and/or rows with non-NaN values, and saves the modified datasets to a new directory. It returns summary statistics of the modified records. ## dataset info Output of loading the dataset: ```python DatasetDict({ train: Dataset({ features: ['instruction', 'output'], num_rows: 23167 }) test: Dataset({ features: ['instruction', 'output'], num_rows: 2822 }) validation: Dataset({ features: ['instruction', 'output'], num_rows: 2866 }) }) ``` ## token counts in the `output` column t5 ![output-tokens](https://i.imgur.com/cOCeBmA.png) bart-base ![output-tokens](https://i.imgur.com/y5CZiMa.png) ---
kayteekay/jordan-generator-dataset	--- dataset_info: features: - name: image dtype: image - name: 'Unnamed: 0' dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 605426023.284 num_examples: 2317 download_size: 509156922 dataset_size: 605426023.284 --- # Dataset Card for "jordan-generator-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AppleHarem/vanilla_arknights	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of vanilla (Arknights) This is the dataset of vanilla (Arknights), containing 30 images and their tags. 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)). This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI)) \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 30 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 65 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 68 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 30 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 30 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 30 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 65 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 65 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 31 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 68 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 68 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|
ganader-ia-developers/cowdb	--- dataset_info: - config_name: default features: - name: image dtype: image - name: cow_id dtype: int64 - name: weight dtype: float64 - name: source dtype: string - name: breed dtype: string - name: sex dtype: string - name: orientation dtype: string - name: id dtype: string splits: - name: train num_bytes: 2999177241.0 num_examples: 876 download_size: 2991378426 dataset_size: 2999177241.0 - config_name: resized features: - name: image dtype: image - name: cow_id dtype: int64 - name: weight dtype: float64 - name: source dtype: string - name: breed dtype: string - name: sex dtype: string - name: orientation dtype: string - name: id dtype: string splits: - name: train num_bytes: 871009194.0 num_examples: 876 download_size: 871019789 dataset_size: 871009194.0 configs: - config_name: default data_files: - split: train path: data/train-* - config_name: resized data_files: - split: train path: resized/train-* ---
open-llm-leaderboard/details_ashercn97__giraffe-7b	--- pretty_name: Evaluation run of ashercn97/giraffe-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ashercn97/giraffe-7b](https://huggingface.co/ashercn97/giraffe-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 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_ashercn97__giraffe-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T20:53:47.065964](https://huggingface.co/datasets/open-llm-leaderboard/details_ashercn97__giraffe-7b/blob/main/results_2023-09-22T20-53-47.065964.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\": 0.00388003355704698,\n\ \ \"em_stderr\": 0.0006366682825520032,\n \"f1\": 0.06388317953020159,\n\ \ \"f1_stderr\": 0.0014760537495948263,\n \"acc\": 0.3581768614021409,\n\ \ \"acc_stderr\": 0.008713750066062537\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.00388003355704698,\n \"em_stderr\": 0.0006366682825520032,\n\ \ \"f1\": 0.06388317953020159,\n \"f1_stderr\": 0.0014760537495948263\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.026535253980288095,\n \ \ \"acc_stderr\": 0.004427045987265172\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6898184688239937,\n \"acc_stderr\": 0.013000454144859902\n\ \ }\n}\n```" repo_url: https://huggingface.co/ashercn97/giraffe-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_08_02T15_44_19.746565 path: - '/details_harness\|arc:challenge\|25_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-02T15:44:19.746565.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T20_53_47.065964 path: - '/details_harness\|drop\|3_2023-09-22T20-53-47.065964.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-22T20-53-47.065964.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T20_53_47.065964 path: - '/details_harness\|gsm8k\|5_2023-09-22T20-53-47.065964.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-22T20-53-47.065964.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hellaswag\|10_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:44:19.746565.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_02T15_44_19.746565 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-02T15:44:19.746565.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T20_53_47.065964 path: - '/details_harness\|winogrande\|5_2023-09-22T20-53-47.065964.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-22T20-53-47.065964.parquet' - config_name: results data_files: - split: 2023_08_02T15_44_19.746565 path: - results_2023-08-02T15:44:19.746565.parquet - split: 2023_09_22T20_53_47.065964 path: - results_2023-09-22T20-53-47.065964.parquet - split: latest path: - results_2023-09-22T20-53-47.065964.parquet --- # Dataset Card for Evaluation run of ashercn97/giraffe-7b ## Dataset Description - Homepage: - Repository: https://huggingface.co/ashercn97/giraffe-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 [ashercn97/giraffe-7b](https://huggingface.co/ashercn97/giraffe-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 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_ashercn97__giraffe-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T20:53:47.065964](https://huggingface.co/datasets/open-llm-leaderboard/details_ashercn97__giraffe-7b/blob/main/results_2023-09-22T20-53-47.065964.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": 0.00388003355704698, "em_stderr": 0.0006366682825520032, "f1": 0.06388317953020159, "f1_stderr": 0.0014760537495948263, "acc": 0.3581768614021409, "acc_stderr": 0.008713750066062537 }, "harness\|drop\|3": { "em": 0.00388003355704698, "em_stderr": 0.0006366682825520032, "f1": 0.06388317953020159, "f1_stderr": 0.0014760537495948263 }, "harness\|gsm8k\|5": { "acc": 0.026535253980288095, "acc_stderr": 0.004427045987265172 }, "harness\|winogrande\|5": { "acc": 0.6898184688239937, "acc_stderr": 0.013000454144859902 } } ``` ### 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]
open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-4x7b-v5	--- pretty_name: Evaluation run of jsfs11/MixtureofMerges-MoE-4x7b-v5 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jsfs11/MixtureofMerges-MoE-4x7b-v5](https://huggingface.co/jsfs11/MixtureofMerges-MoE-4x7b-v5)\ \ 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_jsfs11__MixtureofMerges-MoE-4x7b-v5\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-01T04:07:58.931568](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-4x7b-v5/blob/main/results_2024-03-01T04-07-58.931568.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\": 0.653432343566328,\n\ \ \"acc_stderr\": 0.03198522504293209,\n \"acc_norm\": 0.6525554225781037,\n\ \ \"acc_norm_stderr\": 0.03265700882712598,\n \"mc1\": 0.594859241126071,\n\ \ \"mc1_stderr\": 0.01718561172775338,\n \"mc2\": 0.737297987613419,\n\ \ \"mc2_stderr\": 0.014526936687711855\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.7175767918088737,\n \"acc_stderr\": 0.013155456884097224,\n\ \ \"acc_norm\": 0.7389078498293515,\n \"acc_norm_stderr\": 0.01283552390947384\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7215694084843657,\n\ \ \"acc_stderr\": 0.004473104537026919,\n \"acc_norm\": 0.8899621589324835,\n\ \ \"acc_norm_stderr\": 0.003122973632039472\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7132075471698113,\n \"acc_stderr\": 0.02783491252754407,\n\ \ \"acc_norm\": 0.7132075471698113,\n \"acc_norm_stderr\": 0.02783491252754407\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7916666666666666,\n\ \ \"acc_stderr\": 0.033961162058453336,\n \"acc_norm\": 0.7916666666666666,\n\ \ \"acc_norm_stderr\": 0.033961162058453336\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \ \ \"acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_mathematics\|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-college_medicine\|5\": {\n \"acc\": 0.653179190751445,\n\ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ \ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107224,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107224\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.04292346959909282,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.04292346959909282\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.574468085106383,\n \"acc_stderr\": 0.03232146916224468,\n\ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.03232146916224468\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.02535574126305527,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.02535574126305527\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7838709677419354,\n\ \ \"acc_stderr\": 0.023415293433568525,\n \"acc_norm\": 0.7838709677419354,\n\ \ \"acc_norm_stderr\": 0.023415293433568525\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5320197044334976,\n \"acc_stderr\": 0.03510766597959215,\n\ \ \"acc_norm\": 0.5320197044334976,\n \"acc_norm_stderr\": 0.03510766597959215\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.917098445595855,\n \"acc_stderr\": 0.01989934131572178,\n\ \ \"acc_norm\": 0.917098445595855,\n \"acc_norm_stderr\": 0.01989934131572178\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402538,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402538\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.31851851851851853,\n \"acc_stderr\": 0.02840653309060846,\n \ \ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.02840653309060846\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6554621848739496,\n \"acc_stderr\": 0.030868682604121622,\n\ \ \"acc_norm\": 0.6554621848739496,\n \"acc_norm_stderr\": 0.030868682604121622\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242742,\n \"\ acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242742\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5324074074074074,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.5324074074074074,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8382352941176471,\n \"acc_stderr\": 0.025845017986926917,\n \"\ acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.025845017986926917\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7932489451476793,\n \"acc_stderr\": 0.0263616516683891,\n \ \ \"acc_norm\": 0.7932489451476793,\n \"acc_norm_stderr\": 0.0263616516683891\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159465,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159465\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\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.046695106638751906,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.046695106638751906\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\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834841,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834841\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7427745664739884,\n \"acc_stderr\": 0.023532925431044283,\n\ \ \"acc_norm\": 0.7427745664739884,\n \"acc_norm_stderr\": 0.023532925431044283\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.4324022346368715,\n\ \ \"acc_stderr\": 0.01656897123354861,\n \"acc_norm\": 0.4324022346368715,\n\ \ \"acc_norm_stderr\": 0.01656897123354861\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7254901960784313,\n \"acc_stderr\": 0.025553169991826524,\n\ \ \"acc_norm\": 0.7254901960784313,\n \"acc_norm_stderr\": 0.025553169991826524\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818763,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818763\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.024383665531035454,\n\ \ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.024383665531035454\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.49645390070921985,\n \"acc_stderr\": 0.02982674915328092,\n \ \ \"acc_norm\": 0.49645390070921985,\n \"acc_norm_stderr\": 0.02982674915328092\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.46870925684485004,\n\ \ \"acc_stderr\": 0.012745204626083135,\n \"acc_norm\": 0.46870925684485004,\n\ \ \"acc_norm_stderr\": 0.012745204626083135\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.028332959514031208,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.028332959514031208\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\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.02812342933514278,\n\ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.02812342933514278\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454115,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454115\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5481927710843374,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.5481927710843374,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.594859241126071,\n\ \ \"mc1_stderr\": 0.01718561172775338,\n \"mc2\": 0.737297987613419,\n\ \ \"mc2_stderr\": 0.014526936687711855\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.850828729281768,\n \"acc_stderr\": 0.010012598805627295\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6974981046247157,\n \ \ \"acc_stderr\": 0.012652544133186141\n }\n}\n```" repo_url: https://huggingface.co/jsfs11/MixtureofMerges-MoE-4x7b-v5 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_01T04_07_58.931568 path: - '/details_harness\|arc:challenge\|25_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-01T04-07-58.931568.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|gsm8k\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hellaswag\|10_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T04-07-58.931568.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-01T04-07-58.931568.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '/details_harness\|winogrande\|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-01T04-07-58.931568.parquet' - config_name: results data_files: - split: 2024_03_01T04_07_58.931568 path: - results_2024-03-01T04-07-58.931568.parquet - split: latest path: - results_2024-03-01T04-07-58.931568.parquet --- # Dataset Card for Evaluation run of jsfs11/MixtureofMerges-MoE-4x7b-v5 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [jsfs11/MixtureofMerges-MoE-4x7b-v5](https://huggingface.co/jsfs11/MixtureofMerges-MoE-4x7b-v5) 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_jsfs11__MixtureofMerges-MoE-4x7b-v5", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-01T04:07:58.931568](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-4x7b-v5/blob/main/results_2024-03-01T04-07-58.931568.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": 0.653432343566328, "acc_stderr": 0.03198522504293209, "acc_norm": 0.6525554225781037, "acc_norm_stderr": 0.03265700882712598, "mc1": 0.594859241126071, "mc1_stderr": 0.01718561172775338, "mc2": 0.737297987613419, "mc2_stderr": 0.014526936687711855 }, "harness\|arc:challenge\|25": { "acc": 0.7175767918088737, "acc_stderr": 0.013155456884097224, "acc_norm": 0.7389078498293515, "acc_norm_stderr": 0.01283552390947384 }, "harness\|hellaswag\|10": { "acc": 0.7215694084843657, "acc_stderr": 0.004473104537026919, "acc_norm": 0.8899621589324835, "acc_norm_stderr": 0.003122973632039472 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.04072314811876837, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.04072314811876837 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7132075471698113, "acc_stderr": 0.02783491252754407, "acc_norm": 0.7132075471698113, "acc_norm_stderr": 0.02783491252754407 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7916666666666666, "acc_stderr": 0.033961162058453336, "acc_norm": 0.7916666666666666, "acc_norm_stderr": 0.033961162058453336 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107224, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107224 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909282, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909282 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.574468085106383, "acc_stderr": 0.03232146916224468, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.03232146916224468 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4126984126984127, "acc_stderr": 0.02535574126305527, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.02535574126305527 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7838709677419354, "acc_stderr": 0.023415293433568525, "acc_norm": 0.7838709677419354, "acc_norm_stderr": 0.023415293433568525 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5320197044334976, "acc_stderr": 0.03510766597959215, "acc_norm": 0.5320197044334976, "acc_norm_stderr": 0.03510766597959215 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7757575757575758, "acc_stderr": 0.03256866661681102, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.03256866661681102 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8080808080808081, "acc_stderr": 0.028057791672989017, "acc_norm": 0.8080808080808081, "acc_norm_stderr": 0.028057791672989017 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.917098445595855, "acc_stderr": 0.01989934131572178, "acc_norm": 0.917098445595855, "acc_norm_stderr": 0.01989934131572178 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.023901157979402538, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.023901157979402538 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.31851851851851853, "acc_stderr": 0.02840653309060846, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.02840653309060846 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6554621848739496, "acc_stderr": 0.030868682604121622, "acc_norm": 0.6554621848739496, "acc_norm_stderr": 0.030868682604121622 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.36423841059602646, "acc_stderr": 0.03929111781242742, "acc_norm": 0.36423841059602646, "acc_norm_stderr": 0.03929111781242742 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5324074074074074, "acc_stderr": 0.03402801581358966, "acc_norm": 0.5324074074074074, "acc_norm_stderr": 0.03402801581358966 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8382352941176471, "acc_stderr": 0.025845017986926917, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.025845017986926917 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7932489451476793, "acc_stderr": 0.0263616516683891, "acc_norm": 0.7932489451476793, "acc_norm_stderr": 0.0263616516683891 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159465, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159465 }, "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": 0.7870370370370371, "acc_stderr": 0.0395783547198098, "acc_norm": 0.7870370370370371, "acc_norm_stderr": 0.0395783547198098 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7730061349693251, "acc_stderr": 0.03291099578615769, "acc_norm": 0.7730061349693251, "acc_norm_stderr": 0.03291099578615769 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4107142857142857, "acc_stderr": 0.046695106638751906, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.046695106638751906 }, "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": 0.8846153846153846, "acc_stderr": 0.02093019318517933, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.02093019318517933 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834841, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834841 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7427745664739884, "acc_stderr": 0.023532925431044283, "acc_norm": 0.7427745664739884, "acc_norm_stderr": 0.023532925431044283 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.4324022346368715, "acc_stderr": 0.01656897123354861, "acc_norm": 0.4324022346368715, "acc_norm_stderr": 0.01656897123354861 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7254901960784313, "acc_stderr": 0.025553169991826524, "acc_norm": 0.7254901960784313, "acc_norm_stderr": 0.025553169991826524 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818763, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818763 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7407407407407407, "acc_stderr": 0.024383665531035454, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.024383665531035454 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.49645390070921985, "acc_stderr": 0.02982674915328092, "acc_norm": 0.49645390070921985, "acc_norm_stderr": 0.02982674915328092 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.46870925684485004, "acc_stderr": 0.012745204626083135, "acc_norm": 0.46870925684485004, "acc_norm_stderr": 0.012745204626083135 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6801470588235294, "acc_stderr": 0.028332959514031208, "acc_norm": 0.6801470588235294, "acc_norm_stderr": 0.028332959514031208 }, "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": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7387755102040816, "acc_stderr": 0.02812342933514278, "acc_norm": 0.7387755102040816, "acc_norm_stderr": 0.02812342933514278 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454115, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454115 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.86, "acc_stderr": 0.0348735088019777, "acc_norm": 0.86, "acc_norm_stderr": 0.0348735088019777 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.594859241126071, "mc1_stderr": 0.01718561172775338, "mc2": 0.737297987613419, "mc2_stderr": 0.014526936687711855 }, "harness\|winogrande\|5": { "acc": 0.850828729281768, "acc_stderr": 0.010012598805627295 }, "harness\|gsm8k\|5": { "acc": 0.6974981046247157, "acc_stderr": 0.012652544133186141 } } ``` ## 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 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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.). 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liuyanchen1015/MULTI_VALUE_wnli_who_as	--- dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 1153 num_examples: 5 - name: test num_bytes: 4996 num_examples: 14 - name: train num_bytes: 6964 num_examples: 24 download_size: 14662 dataset_size: 13113 --- # Dataset Card for "MULTI_VALUE_wnli_who_as" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
asrtre/qrtdfga	--- license: apache-2.0 ---
open-llm-leaderboard/details_Locutusque__Hercules-4.0-Mistral-v0.2-7B	--- pretty_name: Evaluation run of Locutusque/Hercules-4.0-Mistral-v0.2-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)\ \ 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_Locutusque__Hercules-4.0-Mistral-v0.2-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-03T02:39:45.725937](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__Hercules-4.0-Mistral-v0.2-7B/blob/main/results_2024-04-03T02-39-45.725937.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\": 0.6251062879958064,\n\ \ \"acc_stderr\": 0.0326560611851356,\n \"acc_norm\": 0.6293901017858107,\n\ \ \"acc_norm_stderr\": 0.03331443063112672,\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.01559475363200653,\n \"mc2\": 0.40987376850150087,\n\ \ \"mc2_stderr\": 0.014140110026214792\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5520477815699659,\n \"acc_stderr\": 0.014532011498211676,\n\ \ \"acc_norm\": 0.5895904436860068,\n \"acc_norm_stderr\": 0.014374922192642666\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6215893248356901,\n\ \ \"acc_stderr\": 0.004839995745602318,\n \"acc_norm\": 0.8260306711810397,\n\ \ \"acc_norm_stderr\": 0.0037830836739860627\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6710526315789473,\n \"acc_stderr\": 0.03823428969926604,\n\ \ \"acc_norm\": 0.6710526315789473,\n \"acc_norm_stderr\": 0.03823428969926604\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\": {\n \"\ acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n \ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7361111111111112,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\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\": 0.04878317312145632,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6127167630057804,\n\ \ \"acc_stderr\": 0.03714325906302065,\n \"acc_norm\": 0.6127167630057804,\n\ \ \"acc_norm_stderr\": 0.03714325906302065\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.047240073523838876,\n\ \ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.047240073523838876\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5702127659574469,\n \"acc_stderr\": 0.03236214467715564,\n\ \ \"acc_norm\": 0.5702127659574469,\n \"acc_norm_stderr\": 0.03236214467715564\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5087719298245614,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.5087719298245614,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482758,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482758\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3968253968253968,\n \"acc_stderr\": 0.02519710107424649,\n \"\ acc_norm\": 0.3968253968253968,\n \"acc_norm_stderr\": 0.02519710107424649\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7580645161290323,\n\ \ \"acc_stderr\": 0.024362599693031086,\n \"acc_norm\": 0.7580645161290323,\n\ \ \"acc_norm_stderr\": 0.024362599693031086\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198896,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198896\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8601036269430051,\n \"acc_stderr\": 0.025033870583015178,\n\ \ \"acc_norm\": 0.8601036269430051,\n \"acc_norm_stderr\": 0.025033870583015178\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6102564102564103,\n \"acc_stderr\": 0.024726967886647074,\n\ \ \"acc_norm\": 0.6102564102564103,\n \"acc_norm_stderr\": 0.024726967886647074\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.02857834836547308,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.02857834836547308\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6554621848739496,\n \"acc_stderr\": 0.030868682604121622,\n\ \ \"acc_norm\": 0.6554621848739496,\n \"acc_norm_stderr\": 0.030868682604121622\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\"\ : 0.8238532110091743,\n \"acc_stderr\": 0.016332882393431367,\n \"\ acc_norm\": 0.8238532110091743,\n \"acc_norm_stderr\": 0.016332882393431367\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4398148148148148,\n \"acc_stderr\": 0.033851779760448106,\n \"\ acc_norm\": 0.4398148148148148,\n \"acc_norm_stderr\": 0.033851779760448106\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7941176470588235,\n \"acc_stderr\": 0.028379449451588663,\n \"\ acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.028379449451588663\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7890295358649789,\n \"acc_stderr\": 0.02655837250266192,\n \ \ \"acc_norm\": 0.7890295358649789,\n \"acc_norm_stderr\": 0.02655837250266192\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\ : 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7222222222222222,\n\ \ \"acc_stderr\": 0.04330043749650743,\n \"acc_norm\": 0.7222222222222222,\n\ \ \"acc_norm_stderr\": 0.04330043749650743\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.03408997886857529,\n\ \ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.03408997886857529\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165612,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165612\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.7918263090676884,\n\ \ \"acc_stderr\": 0.014518592248904033,\n \"acc_norm\": 0.7918263090676884,\n\ \ \"acc_norm_stderr\": 0.014518592248904033\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6965317919075145,\n \"acc_stderr\": 0.02475241196091721,\n\ \ \"acc_norm\": 0.6965317919075145,\n \"acc_norm_stderr\": 0.02475241196091721\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2581005586592179,\n\ \ \"acc_stderr\": 0.014635185616527824,\n \"acc_norm\": 0.2581005586592179,\n\ \ \"acc_norm_stderr\": 0.014635185616527824\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7418300653594772,\n \"acc_stderr\": 0.025058503316958147,\n\ \ \"acc_norm\": 0.7418300653594772,\n \"acc_norm_stderr\": 0.025058503316958147\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7138263665594855,\n\ \ \"acc_stderr\": 0.02567025924218893,\n \"acc_norm\": 0.7138263665594855,\n\ \ \"acc_norm_stderr\": 0.02567025924218893\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6851851851851852,\n \"acc_stderr\": 0.02584224870090217,\n\ \ \"acc_norm\": 0.6851851851851852,\n \"acc_norm_stderr\": 0.02584224870090217\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4485006518904824,\n\ \ \"acc_stderr\": 0.012702317490559802,\n \"acc_norm\": 0.4485006518904824,\n\ \ \"acc_norm_stderr\": 0.012702317490559802\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254184,\n\ \ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254184\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6650326797385621,\n \"acc_stderr\": 0.019094228167000318,\n \ \ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.019094228167000318\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302505,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302505\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.02892058322067561,\n\ \ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.02892058322067561\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8208955223880597,\n\ \ \"acc_stderr\": 0.027113286753111837,\n \"acc_norm\": 0.8208955223880597,\n\ \ \"acc_norm_stderr\": 0.027113286753111837\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263734,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263734\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5240963855421686,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.01559475363200653,\n \"mc2\": 0.40987376850150087,\n\ \ \"mc2_stderr\": 0.014140110026214792\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7853196527229677,\n \"acc_stderr\": 0.0115399127343454\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.4541319181197877,\n \ \ \"acc_stderr\": 0.01371441094526456\n }\n}\n```" repo_url: https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B 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: 2024_04_03T02_39_45.725937 path: - '/details_harness\|arc:challenge\|25_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-04-03T02-39-45.725937.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|gsm8k\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hellaswag\|10_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-03T02-39-45.725937.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-management\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|truthfulqa:mc\|0_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-04-03T02-39-45.725937.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '/details_harness\|winogrande\|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-04-03T02-39-45.725937.parquet' - config_name: results data_files: - split: 2024_04_03T02_39_45.725937 path: - results_2024-04-03T02-39-45.725937.parquet - split: latest path: - results_2024-04-03T02-39-45.725937.parquet --- # Dataset Card for Evaluation run of Locutusque/Hercules-4.0-Mistral-v0.2-7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B) 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_Locutusque__Hercules-4.0-Mistral-v0.2-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-03T02:39:45.725937](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__Hercules-4.0-Mistral-v0.2-7B/blob/main/results_2024-04-03T02-39-45.725937.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": 0.6251062879958064, "acc_stderr": 0.0326560611851356, "acc_norm": 0.6293901017858107, "acc_norm_stderr": 0.03331443063112672, "mc1": 0.2729498164014688, "mc1_stderr": 0.01559475363200653, "mc2": 0.40987376850150087, "mc2_stderr": 0.014140110026214792 }, "harness\|arc:challenge\|25": { "acc": 0.5520477815699659, "acc_stderr": 0.014532011498211676, "acc_norm": 0.5895904436860068, "acc_norm_stderr": 0.014374922192642666 }, "harness\|hellaswag\|10": { "acc": 0.6215893248356901, "acc_stderr": 0.004839995745602318, "acc_norm": 0.8260306711810397, "acc_norm_stderr": 0.0037830836739860627 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6710526315789473, "acc_stderr": 0.03823428969926604, "acc_norm": 0.6710526315789473, "acc_norm_stderr": 0.03823428969926604 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7361111111111112, "acc_stderr": 0.03685651095897532, "acc_norm": 0.7361111111111112, "acc_norm_stderr": 0.03685651095897532 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "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": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6127167630057804, "acc_stderr": 0.03714325906302065, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.03714325906302065 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.3431372549019608, "acc_stderr": 0.047240073523838876, "acc_norm": 0.3431372549019608, "acc_norm_stderr": 0.047240073523838876 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5702127659574469, "acc_stderr": 0.03236214467715564, "acc_norm": 0.5702127659574469, "acc_norm_stderr": 0.03236214467715564 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482758, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482758 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3968253968253968, "acc_stderr": 0.02519710107424649, "acc_norm": 0.3968253968253968, "acc_norm_stderr": 0.02519710107424649 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4444444444444444, "acc_stderr": 0.044444444444444495, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.044444444444444495 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7580645161290323, "acc_stderr": 0.024362599693031086, "acc_norm": 0.7580645161290323, "acc_norm_stderr": 0.024362599693031086 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5073891625615764, "acc_stderr": 0.035176035403610105, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.035176035403610105 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198896, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198896 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8601036269430051, "acc_stderr": 0.025033870583015178, "acc_norm": 0.8601036269430051, "acc_norm_stderr": 0.025033870583015178 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6102564102564103, "acc_stderr": 0.024726967886647074, "acc_norm": 0.6102564102564103, "acc_norm_stderr": 0.024726967886647074 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.32592592592592595, "acc_stderr": 0.02857834836547308, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.02857834836547308 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6554621848739496, "acc_stderr": 0.030868682604121622, "acc_norm": 0.6554621848739496, "acc_norm_stderr": 0.030868682604121622 }, "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": 0.8238532110091743, "acc_stderr": 0.016332882393431367, "acc_norm": 0.8238532110091743, "acc_norm_stderr": 0.016332882393431367 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4398148148148148, "acc_stderr": 0.033851779760448106, "acc_norm": 0.4398148148148148, "acc_norm_stderr": 0.033851779760448106 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7941176470588235, "acc_stderr": 0.028379449451588663, "acc_norm": 0.7941176470588235, "acc_norm_stderr": 0.028379449451588663 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7890295358649789, "acc_stderr": 0.02655837250266192, "acc_norm": 0.7890295358649789, "acc_norm_stderr": 0.02655837250266192 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.768595041322314, "acc_stderr": 0.03849856098794088, "acc_norm": 0.768595041322314, "acc_norm_stderr": 0.03849856098794088 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7222222222222222, "acc_stderr": 0.04330043749650743, "acc_norm": 0.7222222222222222, "acc_norm_stderr": 0.04330043749650743 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7484662576687117, "acc_stderr": 0.03408997886857529, "acc_norm": 0.7484662576687117, "acc_norm_stderr": 0.03408997886857529 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8058252427184466, "acc_stderr": 0.039166677628225836, "acc_norm": 0.8058252427184466, "acc_norm_stderr": 0.039166677628225836 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8675213675213675, "acc_stderr": 0.022209309073165612, "acc_norm": 0.8675213675213675, "acc_norm_stderr": 0.022209309073165612 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7918263090676884, "acc_stderr": 0.014518592248904033, "acc_norm": 0.7918263090676884, "acc_norm_stderr": 0.014518592248904033 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6965317919075145, "acc_stderr": 0.02475241196091721, "acc_norm": 0.6965317919075145, "acc_norm_stderr": 0.02475241196091721 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2581005586592179, "acc_stderr": 0.014635185616527824, "acc_norm": 0.2581005586592179, "acc_norm_stderr": 0.014635185616527824 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7418300653594772, "acc_stderr": 0.025058503316958147, "acc_norm": 0.7418300653594772, "acc_norm_stderr": 0.025058503316958147 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7138263665594855, "acc_stderr": 0.02567025924218893, "acc_norm": 0.7138263665594855, "acc_norm_stderr": 0.02567025924218893 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6851851851851852, "acc_stderr": 0.02584224870090217, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.02584224870090217 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4929078014184397, "acc_stderr": 0.02982449855912901, "acc_norm": 0.4929078014184397, "acc_norm_stderr": 0.02982449855912901 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4485006518904824, "acc_stderr": 0.012702317490559802, "acc_norm": 0.4485006518904824, "acc_norm_stderr": 0.012702317490559802 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6580882352941176, "acc_stderr": 0.028814722422254184, "acc_norm": 0.6580882352941176, "acc_norm_stderr": 0.028814722422254184 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6650326797385621, "acc_stderr": 0.019094228167000318, "acc_norm": 0.6650326797385621, "acc_norm_stderr": 0.019094228167000318 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302505, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302505 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7142857142857143, "acc_stderr": 0.02892058322067561, "acc_norm": 0.7142857142857143, "acc_norm_stderr": 0.02892058322067561 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8208955223880597, "acc_stderr": 0.027113286753111837, "acc_norm": 0.8208955223880597, "acc_norm_stderr": 0.027113286753111837 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.85, "acc_stderr": 0.035887028128263734, "acc_norm": 0.85, "acc_norm_stderr": 0.035887028128263734 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5240963855421686, "acc_stderr": 0.03887971849597264, "acc_norm": 0.5240963855421686, "acc_norm_stderr": 0.03887971849597264 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2729498164014688, "mc1_stderr": 0.01559475363200653, "mc2": 0.40987376850150087, "mc2_stderr": 0.014140110026214792 }, "harness\|winogrande\|5": { "acc": 0.7853196527229677, "acc_stderr": 0.0115399127343454 }, "harness\|gsm8k\|5": { "acc": 0.4541319181197877, "acc_stderr": 0.01371441094526456 } } ``` ## 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.). 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dnlpy/Stable-Diffusion	--- viewer: false ---
edbeeching/prj_gia_dataset_atari_2B_atari_gravitar_1111	--- library_name: gia tags: - deep-reinforcement-learning - reinforcement-learning - gia - multi-task - multi-modal - imitation-learning - offline-reinforcement-learning --- An imitation learning environment for the atari_gravitar environment, sample for the policy atari_2B_atari_gravitar_1111 This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia
open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2	--- pretty_name: Evaluation run of perlthoughts/Chupacabra-7B-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2)\ \ 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 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_perlthoughts__Chupacabra-7B-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-04T18:02:58.053786](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2/blob/main/results_2023-12-04T18-02-58.053786.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\": 0.6367599015709243,\n\ \ \"acc_stderr\": 0.03218025799515212,\n \"acc_norm\": 0.6396357428050704,\n\ \ \"acc_norm_stderr\": 0.0328187456646889,\n \"mc1\": 0.397796817625459,\n\ \ \"mc1_stderr\": 0.017133934248559635,\n \"mc2\": 0.5717077514762566,\n\ \ \"mc2_stderr\": 0.0156197692783717\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.613481228668942,\n \"acc_stderr\": 0.014230084761910478,\n\ \ \"acc_norm\": 0.6518771331058021,\n \"acc_norm_stderr\": 0.013921008595179342\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6473809998008365,\n\ \ \"acc_stderr\": 0.004768088918512182,\n \"acc_norm\": 0.8338976299541924,\n\ \ \"acc_norm_stderr\": 0.003714118884317389\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.03782728980865469,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.03782728980865469\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\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\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_computer_science\|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness\|hendrycksTest-college_mathematics\|5\": {\n \"acc\": 0.37,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.37,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-college_medicine\|5\"\ : {\n \"acc\": 0.6127167630057804,\n \"acc_stderr\": 0.03714325906302065,\n\ \ \"acc_norm\": 0.6127167630057804,\n \"acc_norm_stderr\": 0.03714325906302065\n\ \ },\n \"harness\|hendrycksTest-college_physics\|5\": {\n \"acc\": 0.38235294117647056,\n\ \ \"acc_stderr\": 0.04835503696107223,\n \"acc_norm\": 0.38235294117647056,\n\ \ \"acc_norm_stderr\": 0.04835503696107223\n },\n \"harness\|hendrycksTest-computer_security\|5\"\ : {\n \"acc\": 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \ \ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.04163331998932261\n \ \ },\n \"harness\|hendrycksTest-conceptual_physics\|5\": {\n \"acc\": 0.548936170212766,\n\ \ \"acc_stderr\": 0.03252909619613197,\n \"acc_norm\": 0.548936170212766,\n\ \ \"acc_norm_stderr\": 0.03252909619613197\n },\n \"harness\|hendrycksTest-econometrics\|5\"\ : {\n \"acc\": 0.5087719298245614,\n \"acc_stderr\": 0.047028804320496165,\n\ \ \"acc_norm\": 0.5087719298245614,\n \"acc_norm_stderr\": 0.047028804320496165\n\ \ },\n \"harness\|hendrycksTest-electrical_engineering\|5\": {\n \"acc\"\ : 0.5793103448275863,\n \"acc_stderr\": 0.0411391498118926,\n \"acc_norm\"\ : 0.5793103448275863,\n \"acc_norm_stderr\": 0.0411391498118926\n },\n\ \ \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\": 0.3994708994708995,\n\ \ \"acc_stderr\": 0.02522545028406788,\n \"acc_norm\": 0.3994708994708995,\n\ \ \"acc_norm_stderr\": 0.02522545028406788\n },\n \"harness\|hendrycksTest-formal_logic\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.04472135954999579,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.04472135954999579\n },\n\ \ \"harness\|hendrycksTest-global_facts\|5\": {\n \"acc\": 0.32,\n \ \ \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\": 0.32,\n \"\ acc_norm_stderr\": 0.04688261722621504\n },\n \"harness\|hendrycksTest-high_school_biology\|5\"\ : {\n \"acc\": 0.7709677419354839,\n \"acc_stderr\": 0.023904914311782658,\n\ \ \"acc_norm\": 0.7709677419354839,\n \"acc_norm_stderr\": 0.023904914311782658\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n \"\ acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7575757575757576,\n \"acc_stderr\": 0.030532892233932022,\n \"\ acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.030532892233932022\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033456,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033456\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062157,\n\ \ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062157\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3111111111111111,\n \"acc_stderr\": 0.028226446749683515,\n \ \ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.028226446749683515\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.03077805742293167,\n \ \ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.03077805742293167\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.2913907284768212,\n \"acc_stderr\": 0.037101857261199946,\n \"\ acc_norm\": 0.2913907284768212,\n \"acc_norm_stderr\": 0.037101857261199946\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8293577981651377,\n \"acc_stderr\": 0.016129271025099867,\n \"\ acc_norm\": 0.8293577981651377,\n \"acc_norm_stderr\": 0.016129271025099867\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.8333333333333334,\n \"acc_stderr\": 0.026156867523931045,\n\ \ \"acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.026156867523931045\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621126,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621126\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\ \ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7962962962962963,\n\ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.037601780060266196,\n\ \ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.037601780060266196\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8173690932311622,\n\ \ \"acc_stderr\": 0.013816335389973136,\n \"acc_norm\": 0.8173690932311622,\n\ \ \"acc_norm_stderr\": 0.013816335389973136\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6820809248554913,\n \"acc_stderr\": 0.025070713719153183,\n\ \ \"acc_norm\": 0.6820809248554913,\n \"acc_norm_stderr\": 0.025070713719153183\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.4033519553072626,\n\ \ \"acc_stderr\": 0.01640712303219525,\n \"acc_norm\": 0.4033519553072626,\n\ \ \"acc_norm_stderr\": 0.01640712303219525\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7058823529411765,\n \"acc_stderr\": 0.026090162504279056,\n\ \ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.026090162504279056\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6913183279742765,\n\ \ \"acc_stderr\": 0.026236965881153273,\n \"acc_norm\": 0.6913183279742765,\n\ \ \"acc_norm_stderr\": 0.026236965881153273\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7037037037037037,\n \"acc_stderr\": 0.025407197798890162,\n\ \ \"acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.025407197798890162\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \ \ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4602346805736636,\n\ \ \"acc_stderr\": 0.01272978538659856,\n \"acc_norm\": 0.4602346805736636,\n\ \ \"acc_norm_stderr\": 0.01272978538659856\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.028661996202335303,\n\ \ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.028661996202335303\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6519607843137255,\n \"acc_stderr\": 0.01927099870822398,\n \ \ \"acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.01927099870822398\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7551020408163265,\n \"acc_stderr\": 0.027529637440174923,\n\ \ \"acc_norm\": 0.7551020408163265,\n \"acc_norm_stderr\": 0.027529637440174923\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.02587064676616913,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.02587064676616913\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \ \ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\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\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.397796817625459,\n\ \ \"mc1_stderr\": 0.017133934248559635,\n \"mc2\": 0.5717077514762566,\n\ \ \"mc2_stderr\": 0.0156197692783717\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7813733228097869,\n \"acc_stderr\": 0.01161619821577323\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.5473843821076573,\n \ \ \"acc_stderr\": 0.013710499070935132\n }\n}\n```" repo_url: https://huggingface.co/perlthoughts/Chupacabra-7B-v2 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_11_23T09_06_05.823190 path: - '/details_harness\|arc:challenge\|25_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|arc:challenge\|25_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|arc:challenge\|25_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-04T18-02-58.053786.parquet' - config_name: harness_drop_3 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|drop\|3_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|drop\|3_2023-11-23T09-18-59.989572.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-11-23T09-18-59.989572.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|gsm8k\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|gsm8k\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_03T15_21_26.428024 path: - '/details_harness\|gsm8k\|5_2023-12-03T15-21-26.428024.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|gsm8k\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hellaswag\|10_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hellaswag\|10_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hellaswag\|10_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-11-23T09-06-05.823190.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-11-23T09-18-59.989572.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T18-02-58.053786.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-management\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-management\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-virology\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-virology\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|truthfulqa:mc\|0_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|truthfulqa:mc\|0_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-04T18-02-58.053786.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '/details_harness\|winogrande\|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '/details_harness\|winogrande\|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '/details_harness\|winogrande\|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-04T18-02-58.053786.parquet' - config_name: results data_files: - split: 2023_11_23T09_06_05.823190 path: - results_2023-11-23T09-06-05.823190.parquet - split: 2023_11_23T09_18_59.989572 path: - results_2023-11-23T09-18-59.989572.parquet - split: 2023_12_03T15_21_26.428024 path: - results_2023-12-03T15-21-26.428024.parquet - split: 2023_12_04T18_02_58.053786 path: - results_2023-12-04T18-02-58.053786.parquet - split: latest path: - results_2023-12-04T18-02-58.053786.parquet --- # Dataset Card for Evaluation run of perlthoughts/Chupacabra-7B-v2 ## Dataset Description - Homepage: - Repository: https://huggingface.co/perlthoughts/Chupacabra-7B-v2 - 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 [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2) 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 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_perlthoughts__Chupacabra-7B-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-04T18:02:58.053786](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2/blob/main/results_2023-12-04T18-02-58.053786.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": 0.6367599015709243, "acc_stderr": 0.03218025799515212, "acc_norm": 0.6396357428050704, "acc_norm_stderr": 0.0328187456646889, "mc1": 0.397796817625459, "mc1_stderr": 0.017133934248559635, "mc2": 0.5717077514762566, "mc2_stderr": 0.0156197692783717 }, "harness\|arc:challenge\|25": { "acc": 0.613481228668942, "acc_stderr": 0.014230084761910478, "acc_norm": 0.6518771331058021, "acc_norm_stderr": 0.013921008595179342 }, "harness\|hellaswag\|10": { "acc": 0.6473809998008365, "acc_stderr": 0.004768088918512182, "acc_norm": 0.8338976299541924, "acc_norm_stderr": 0.003714118884317389 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6842105263157895, "acc_stderr": 0.03782728980865469, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.03782728980865469 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "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": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6127167630057804, "acc_stderr": 0.03714325906302065, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.03714325906302065 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.548936170212766, "acc_stderr": 0.03252909619613197, "acc_norm": 0.548936170212766, "acc_norm_stderr": 0.03252909619613197 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5087719298245614, "acc_stderr": 0.047028804320496165, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.047028804320496165 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5793103448275863, "acc_stderr": 0.0411391498118926, "acc_norm": 0.5793103448275863, "acc_norm_stderr": 0.0411391498118926 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3994708994708995, "acc_stderr": 0.02522545028406788, "acc_norm": 0.3994708994708995, "acc_norm_stderr": 0.02522545028406788 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.5, "acc_stderr": 0.04472135954999579, "acc_norm": 0.5, "acc_norm_stderr": 0.04472135954999579 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7709677419354839, "acc_stderr": 0.023904914311782658, "acc_norm": 0.7709677419354839, "acc_norm_stderr": 0.023904914311782658 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4975369458128079, "acc_stderr": 0.03517945038691063, "acc_norm": 0.4975369458128079, "acc_norm_stderr": 0.03517945038691063 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7575757575757576, "acc_stderr": 0.030532892233932022, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.030532892233932022 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9015544041450777, "acc_stderr": 0.021500249576033456, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.021500249576033456 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6461538461538462, "acc_stderr": 0.024243783994062157, "acc_norm": 0.6461538461538462, "acc_norm_stderr": 0.024243783994062157 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3111111111111111, "acc_stderr": 0.028226446749683515, "acc_norm": 0.3111111111111111, "acc_norm_stderr": 0.028226446749683515 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6596638655462185, "acc_stderr": 0.03077805742293167, "acc_norm": 0.6596638655462185, "acc_norm_stderr": 0.03077805742293167 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.2913907284768212, "acc_stderr": 0.037101857261199946, "acc_norm": 0.2913907284768212, "acc_norm_stderr": 0.037101857261199946 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8293577981651377, "acc_stderr": 0.016129271025099867, "acc_norm": 0.8293577981651377, "acc_norm_stderr": 0.016129271025099867 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.026156867523931045, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.026156867523931045 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8016877637130801, "acc_stderr": 0.025955020841621126, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.025955020841621126 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6816143497757847, "acc_stderr": 0.03126580522513713, "acc_norm": 0.6816143497757847, "acc_norm_stderr": 0.03126580522513713 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7404580152671756, "acc_stderr": 0.03844876139785271, "acc_norm": 0.7404580152671756, "acc_norm_stderr": 0.03844876139785271 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8099173553719008, "acc_stderr": 0.03581796951709282, "acc_norm": 0.8099173553719008, "acc_norm_stderr": 0.03581796951709282 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7962962962962963, "acc_stderr": 0.03893542518824847, "acc_norm": 0.7962962962962963, "acc_norm_stderr": 0.03893542518824847 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.754601226993865, "acc_stderr": 0.03380939813943354, "acc_norm": 0.754601226993865, "acc_norm_stderr": 0.03380939813943354 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5089285714285714, "acc_stderr": 0.04745033255489123, "acc_norm": 0.5089285714285714, "acc_norm_stderr": 0.04745033255489123 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8252427184466019, "acc_stderr": 0.037601780060266196, "acc_norm": 0.8252427184466019, "acc_norm_stderr": 0.037601780060266196 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8717948717948718, "acc_stderr": 0.02190190511507333, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.02190190511507333 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8173690932311622, "acc_stderr": 0.013816335389973136, "acc_norm": 0.8173690932311622, "acc_norm_stderr": 0.013816335389973136 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6820809248554913, "acc_stderr": 0.025070713719153183, "acc_norm": 0.6820809248554913, "acc_norm_stderr": 0.025070713719153183 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.4033519553072626, "acc_stderr": 0.01640712303219525, "acc_norm": 0.4033519553072626, "acc_norm_stderr": 0.01640712303219525 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7058823529411765, "acc_stderr": 0.026090162504279056, "acc_norm": 0.7058823529411765, "acc_norm_stderr": 0.026090162504279056 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6913183279742765, "acc_stderr": 0.026236965881153273, "acc_norm": 0.6913183279742765, "acc_norm_stderr": 0.026236965881153273 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7037037037037037, "acc_stderr": 0.025407197798890162, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.025407197798890162 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4787234042553192, "acc_stderr": 0.029800481645628693, "acc_norm": 0.4787234042553192, "acc_norm_stderr": 0.029800481645628693 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4602346805736636, "acc_stderr": 0.01272978538659856, "acc_norm": 0.4602346805736636, "acc_norm_stderr": 0.01272978538659856 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6654411764705882, "acc_stderr": 0.028661996202335303, "acc_norm": 0.6654411764705882, "acc_norm_stderr": 0.028661996202335303 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6519607843137255, "acc_stderr": 0.01927099870822398, "acc_norm": 0.6519607843137255, "acc_norm_stderr": 0.01927099870822398 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7551020408163265, "acc_stderr": 0.027529637440174923, "acc_norm": 0.7551020408163265, "acc_norm_stderr": 0.027529637440174923 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8407960199004975, "acc_stderr": 0.02587064676616913, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.02587064676616913 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.88, "acc_stderr": 0.03265986323710906, "acc_norm": 0.88, "acc_norm_stderr": 0.03265986323710906 }, "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": 0.8128654970760234, "acc_stderr": 0.02991312723236804, "acc_norm": 0.8128654970760234, "acc_norm_stderr": 0.02991312723236804 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.397796817625459, "mc1_stderr": 0.017133934248559635, "mc2": 0.5717077514762566, "mc2_stderr": 0.0156197692783717 }, "harness\|winogrande\|5": { "acc": 0.7813733228097869, "acc_stderr": 0.01161619821577323 }, "harness\|gsm8k\|5": { "acc": 0.5473843821076573, "acc_stderr": 0.013710499070935132 } } ``` ### 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]
realshyfox/LazyLlama2	--- license: llama2 ---
medric49/test	--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: category dtype: string - name: response_1 dtype: string - name: response_2 dtype: string - name: response_3 dtype: string splits: - name: train num_bytes: 24320 num_examples: 10 download_size: 29608 dataset_size: 24320 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Tianzhou/auditor_sentiment	--- annotations_creators: - expert-generated language_creators: - found language: - en multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification task_ids: - multi-class-classification - sentiment-classification paperswithcode_id: null pretty_name: Auditor_Sentiment --- # Dataset Card for Auditor Sentiment ## 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) ## Dataset Description Auditor review sentiment collected by News Department - Point of Contact: Talked to COE for Auditing, currently sue@demo.org ### Dataset Summary Auditor sentiment dataset of sentences from financial news. The dataset consists of several thousand sentences from English language financial news categorized by sentiment. ### Supported Tasks and Leaderboards Sentiment Classification ### Languages English ## Dataset Structure ### Data Instances ``` "sentence": "Pharmaceuticals group Orion Corp reported a fall in its third-quarter earnings that were hit by larger expenditures on R&D and marketing .", "label": "negative" ``` ### Data Fields - sentence: a tokenized line from the dataset - label: a label corresponding to the class as a string: 'positive' - (2), 'neutral' - (1), or 'negative' - (0) ### Data Splits A train/test split was created randomly with a 75/25 split ## Dataset Creation ### Curation Rationale To gather our auditor evaluations into one dataset. Previous attempts using off-the-shelf sentiment had only 70% F1, this dataset was an attempt to improve upon that performance. ### Source Data #### Initial Data Collection and Normalization The corpus used in this paper is made out of English news reports. #### Who are the source language producers? The source data was written by various auditors. ### Annotations #### Annotation process This release of the auditor reviews covers a collection of 4840 sentences. The selected collection of phrases was annotated by 16 people with adequate background knowledge on financial markets. The subset here is where inter-annotation agreement was greater than 75%. #### Who are the annotators? They were pulled from the SME list, names are held by sue@demo.org ### Personal and Sensitive Information There is no personal or sensitive information in this dataset. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases All annotators were from the same institution and so interannotator agreement should be understood with this taken into account. ### Licensing Information License: Demo.Org Proprietary - DO NOT SHARE This dataset is based on the [financial phrasebank](https://huggingface.co/datasets/financial_phrasebank) dataset.

AlexFierro9/Kinetics400

--- license: cc-by-4.0 --- A collection of large-scale, high-quality datasets of URL links of up to 650,000 video clips that cover 400 human action classes. The videos include human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging. Each action class has at least 400. Each clip is human annotated with a single action class and lasts around 10 seconds. Originally created by Google Inc. and the dataset has been uploaded as is without any changes.

hdeldar/Persian-Text-llama2-9k

--- dataset_info: features: - name: answers dtype: string - name: question dtype: string splits: - name: train num_bytes: 17137852 num_examples: 9008 - name: validation num_bytes: 1753700 num_examples: 930 download_size: 1329768 dataset_size: 18891552 --- # Dataset Card for "Persian-Text-llama2-9k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_abhishek__hepu-o4zf-ravz-7-0

--- pretty_name: Evaluation run of abhishek/hepu-o4zf-ravz-7-0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [abhishek/hepu-o4zf-ravz-7-0](https://huggingface.co/abhishek/hepu-o4zf-ravz-7-0)\ \ 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_abhishek__hepu-o4zf-ravz-7-0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-13T15:35:44.454119](https://huggingface.co/datasets/open-llm-leaderboard/details_abhishek__hepu-o4zf-ravz-7-0/blob/main/results_2023-12-13T15-35-44.454119.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\": 0.23314538989180242,\n\ \ \"acc_stderr\": 0.029997889374526535,\n \"acc_norm\": 0.23329981822026483,\n\ \ \"acc_norm_stderr\": 0.03078927812586186,\n \"mc1\": 0.25458996328029376,\n\ \ \"mc1_stderr\": 0.015250117079156487,\n \"mc2\": 0.5166805857294422,\n\ \ \"mc2_stderr\": 0.016293087426390157\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.20477815699658702,\n \"acc_stderr\": 0.011792544338513412,\n\ \ \"acc_norm\": 0.24488054607508533,\n \"acc_norm_stderr\": 0.012566273985131358\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2584146584345748,\n\ \ \"acc_stderr\": 0.004368684255626194,\n \"acc_norm\": 0.25363473411670984,\n\ \ \"acc_norm_stderr\": 0.004342017709967956\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\": 0.1925925925925926,\n\ \ \"acc_stderr\": 0.03406542058502653,\n \"acc_norm\": 0.1925925925925926,\n\ \ \"acc_norm_stderr\": 0.03406542058502653\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\": 0.31,\n\ \ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.22264150943396227,\n \"acc_stderr\": 0.025604233470899098,\n\ \ \"acc_norm\": 0.22264150943396227,\n \"acc_norm_stderr\": 0.025604233470899098\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \ \ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\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\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\ \ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\ \ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ : {\n \"acc\": 0.2553191489361702,\n \"acc_stderr\": 0.028504856470514203,\n\ \ \"acc_norm\": 0.2553191489361702,\n \"acc_norm_stderr\": 0.028504856470514203\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\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135302,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135302\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.21693121693121692,\n \"acc_stderr\": 0.021227082449445073,\n \"\ acc_norm\": 0.21693121693121692,\n \"acc_norm_stderr\": 0.021227082449445073\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\ \ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\ \ \"acc_norm_stderr\": 0.04134913018303316\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\"\ : 0.17096774193548386,\n \"acc_stderr\": 0.02141724293632157,\n \"\ acc_norm\": 0.17096774193548386,\n \"acc_norm_stderr\": 0.02141724293632157\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.1477832512315271,\n \"acc_stderr\": 0.024969621333521274,\n \"\ acc_norm\": 0.1477832512315271,\n \"acc_norm_stderr\": 0.024969621333521274\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.24242424242424243,\n \"acc_stderr\": 0.03346409881055953,\n\ \ \"acc_norm\": 0.24242424242424243,\n \"acc_norm_stderr\": 0.03346409881055953\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.17676767676767677,\n \"acc_stderr\": 0.027178752639044915,\n \"\ acc_norm\": 0.17676767676767677,\n \"acc_norm_stderr\": 0.027178752639044915\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.20725388601036268,\n \"acc_stderr\": 0.02925282329180361,\n\ \ \"acc_norm\": 0.20725388601036268,\n \"acc_norm_stderr\": 0.02925282329180361\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.2,\n \"acc_stderr\": 0.020280805062535722,\n \"acc_norm\"\ : 0.2,\n \"acc_norm_stderr\": 0.020280805062535722\n },\n \"harness|hendrycksTest-high_school_mathematics|5\"\ : {\n \"acc\": 0.21851851851851853,\n \"acc_stderr\": 0.02519575225182379,\n\ \ \"acc_norm\": 0.21851851851851853,\n \"acc_norm_stderr\": 0.02519575225182379\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.18543046357615894,\n \"acc_stderr\": 0.03173284384294285,\n \"\ acc_norm\": 0.18543046357615894,\n \"acc_norm_stderr\": 0.03173284384294285\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.2,\n \"acc_stderr\": 0.017149858514250937,\n \"acc_norm\": 0.2,\n\ \ \"acc_norm_stderr\": 0.017149858514250937\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.14814814814814814,\n \"acc_stderr\": 0.02422762927372836,\n\ \ \"acc_norm\": 0.14814814814814814,\n \"acc_norm_stderr\": 0.02422762927372836\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\": 0.26582278481012656,\n \"acc_stderr\": 0.02875679962965834,\n\ \ \"acc_norm\": 0.26582278481012656,\n \"acc_norm_stderr\": 0.02875679962965834\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.31390134529147984,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.31390134529147984,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.25190839694656486,\n \"acc_stderr\": 0.03807387116306086,\n\ \ \"acc_norm\": 0.25190839694656486,\n \"acc_norm_stderr\": 0.03807387116306086\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.2396694214876033,\n \"acc_stderr\": 0.03896878985070417,\n \"\ acc_norm\": 0.2396694214876033,\n \"acc_norm_stderr\": 0.03896878985070417\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\": 0.22699386503067484,\n \"acc_stderr\": 0.032910995786157686,\n\ \ \"acc_norm\": 0.22699386503067484,\n \"acc_norm_stderr\": 0.032910995786157686\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.04464285714285714,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.04464285714285714\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\": 0.2948717948717949,\n\ \ \"acc_stderr\": 0.029872577708891148,\n \"acc_norm\": 0.2948717948717949,\n\ \ \"acc_norm_stderr\": 0.029872577708891148\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\": 0.23243933588761176,\n\ \ \"acc_stderr\": 0.015104550008905702,\n \"acc_norm\": 0.23243933588761176,\n\ \ \"acc_norm_stderr\": 0.015104550008905702\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\": 0.23798882681564246,\n\ \ \"acc_stderr\": 0.014242630070574915,\n \"acc_norm\": 0.23798882681564246,\n\ \ \"acc_norm_stderr\": 0.014242630070574915\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.22875816993464052,\n \"acc_stderr\": 0.02405102973991225,\n\ \ \"acc_norm\": 0.22875816993464052,\n \"acc_norm_stderr\": 0.02405102973991225\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.1864951768488746,\n\ \ \"acc_stderr\": 0.02212243977248077,\n \"acc_norm\": 0.1864951768488746,\n\ \ \"acc_norm_stderr\": 0.02212243977248077\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.21296296296296297,\n \"acc_stderr\": 0.0227797190887334,\n\ \ \"acc_norm\": 0.21296296296296297,\n \"acc_norm_stderr\": 0.0227797190887334\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.23404255319148937,\n \"acc_stderr\": 0.025257861359432417,\n \ \ \"acc_norm\": 0.23404255319148937,\n \"acc_norm_stderr\": 0.025257861359432417\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2457627118644068,\n\ \ \"acc_stderr\": 0.010996156635142692,\n \"acc_norm\": 0.2457627118644068,\n\ \ \"acc_norm_stderr\": 0.010996156635142692\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.2426470588235294,\n \"acc_stderr\": 0.026040662474201247,\n\ \ \"acc_norm\": 0.2426470588235294,\n \"acc_norm_stderr\": 0.026040662474201247\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\": 0.18775510204081633,\n\ \ \"acc_stderr\": 0.02500025603954621,\n \"acc_norm\": 0.18775510204081633,\n\ \ \"acc_norm_stderr\": 0.02500025603954621\n },\n \"harness|hendrycksTest-sociology|5\"\ : {\n \"acc\": 0.24378109452736318,\n \"acc_stderr\": 0.03036049015401465,\n\ \ \"acc_norm\": 0.24378109452736318,\n \"acc_norm_stderr\": 0.03036049015401465\n\ \ },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\":\ \ 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\": 0.28,\n\ \ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-virology|5\"\ : {\n \"acc\": 0.2710843373493976,\n \"acc_stderr\": 0.03460579907553027,\n\ \ \"acc_norm\": 0.2710843373493976,\n \"acc_norm_stderr\": 0.03460579907553027\n\ \ },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.26900584795321636,\n\ \ \"acc_stderr\": 0.0340105262010409,\n \"acc_norm\": 0.26900584795321636,\n\ \ \"acc_norm_stderr\": 0.0340105262010409\n },\n \"harness|truthfulqa:mc|0\"\ : {\n \"mc1\": 0.25458996328029376,\n \"mc1_stderr\": 0.015250117079156487,\n\ \ \"mc2\": 0.5166805857294422,\n \"mc2_stderr\": 0.016293087426390157\n\ \ },\n \"harness|winogrande|5\": {\n \"acc\": 0.4925019731649566,\n\ \ \"acc_stderr\": 0.014050905521228573\n },\n \"harness|gsm8k|5\":\ \ {\n \"acc\": 0.0,\n \"acc_stderr\": 0.0\n }\n}\n```" repo_url: https://huggingface.co/abhishek/hepu-o4zf-ravz-7-0 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_12_13T15_35_44.454119 path: - '**/details_harness|arc:challenge|25_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-13T15-35-44.454119.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|gsm8k|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hellaswag|10_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-13T15-35-44.454119.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-management|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-13T15-35-44.454119.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|truthfulqa:mc|0_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-13T15-35-44.454119.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_13T15_35_44.454119 path: - '**/details_harness|winogrande|5_2023-12-13T15-35-44.454119.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-13T15-35-44.454119.parquet' - config_name: results data_files: - split: 2023_12_13T15_35_44.454119 path: - results_2023-12-13T15-35-44.454119.parquet - split: latest path: - results_2023-12-13T15-35-44.454119.parquet --- # Dataset Card for Evaluation run of abhishek/hepu-o4zf-ravz-7-0  Dataset automatically created during the evaluation run of model [abhishek/hepu-o4zf-ravz-7-0](https://huggingface.co/abhishek/hepu-o4zf-ravz-7-0) 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_abhishek__hepu-o4zf-ravz-7-0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-13T15:35:44.454119](https://huggingface.co/datasets/open-llm-leaderboard/details_abhishek__hepu-o4zf-ravz-7-0/blob/main/results_2023-12-13T15-35-44.454119.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": 0.23314538989180242, "acc_stderr": 0.029997889374526535, "acc_norm": 0.23329981822026483, "acc_norm_stderr": 0.03078927812586186, "mc1": 0.25458996328029376, "mc1_stderr": 0.015250117079156487, "mc2": 0.5166805857294422, "mc2_stderr": 0.016293087426390157 }, "harness|arc:challenge|25": { "acc": 0.20477815699658702, "acc_stderr": 0.011792544338513412, "acc_norm": 0.24488054607508533, "acc_norm_stderr": 0.012566273985131358 }, "harness|hellaswag|10": { "acc": 0.2584146584345748, "acc_stderr": 0.004368684255626194, "acc_norm": 0.25363473411670984, "acc_norm_stderr": 0.004342017709967956 }, "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": 0.1925925925925926, "acc_stderr": 0.03406542058502653, "acc_norm": 0.1925925925925926, "acc_norm_stderr": 0.03406542058502653 }, "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": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.22264150943396227, "acc_stderr": 0.025604233470899098, "acc_norm": 0.22264150943396227, "acc_norm_stderr": 0.025604233470899098 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.25, "acc_stderr": 0.03621034121889507, "acc_norm": 0.25, "acc_norm_stderr": 0.03621034121889507 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "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": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2553191489361702, "acc_stderr": 0.028504856470514203, "acc_norm": 0.2553191489361702, "acc_norm_stderr": 0.028504856470514203 }, "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": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.21693121693121692, "acc_stderr": 0.021227082449445073, "acc_norm": 0.21693121693121692, "acc_norm_stderr": 0.021227082449445073 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30952380952380953, "acc_stderr": 0.04134913018303316, "acc_norm": 0.30952380952380953, "acc_norm_stderr": 0.04134913018303316 }, "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": 0.17096774193548386, "acc_stderr": 0.02141724293632157, "acc_norm": 0.17096774193548386, "acc_norm_stderr": 0.02141724293632157 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.1477832512315271, "acc_stderr": 0.024969621333521274, "acc_norm": 0.1477832512315271, "acc_norm_stderr": 0.024969621333521274 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24242424242424243, "acc_stderr": 0.03346409881055953, "acc_norm": 0.24242424242424243, "acc_norm_stderr": 0.03346409881055953 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.17676767676767677, "acc_stderr": 0.027178752639044915, "acc_norm": 0.17676767676767677, "acc_norm_stderr": 0.027178752639044915 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.20725388601036268, "acc_stderr": 0.02925282329180361, "acc_norm": 0.20725388601036268, "acc_norm_stderr": 0.02925282329180361 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2, "acc_stderr": 0.020280805062535722, "acc_norm": 0.2, "acc_norm_stderr": 0.020280805062535722 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.21851851851851853, "acc_stderr": 0.02519575225182379, "acc_norm": 0.21851851851851853, "acc_norm_stderr": 0.02519575225182379 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.21008403361344538, "acc_stderr": 0.026461398717471874, "acc_norm": 0.21008403361344538, "acc_norm_stderr": 0.026461398717471874 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.18543046357615894, "acc_stderr": 0.03173284384294285, "acc_norm": 0.18543046357615894, "acc_norm_stderr": 0.03173284384294285 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.2, "acc_stderr": 0.017149858514250937, "acc_norm": 0.2, "acc_norm_stderr": 0.017149858514250937 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.14814814814814814, "acc_stderr": 0.02422762927372836, "acc_norm": 0.14814814814814814, "acc_norm_stderr": 0.02422762927372836 }, "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": 0.26582278481012656, "acc_stderr": 0.02875679962965834, "acc_norm": 0.26582278481012656, "acc_norm_stderr": 0.02875679962965834 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.31390134529147984, "acc_stderr": 0.031146796482972465, "acc_norm": 0.31390134529147984, "acc_norm_stderr": 0.031146796482972465 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.25190839694656486, "acc_stderr": 0.03807387116306086, "acc_norm": 0.25190839694656486, "acc_norm_stderr": 0.03807387116306086 }, "harness|hendrycksTest-international_law|5": { "acc": 0.2396694214876033, "acc_stderr": 0.03896878985070417, "acc_norm": 0.2396694214876033, "acc_norm_stderr": 0.03896878985070417 }, "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": 0.22699386503067484, "acc_stderr": 0.032910995786157686, "acc_norm": 0.22699386503067484, "acc_norm_stderr": 0.032910995786157686 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.33035714285714285, "acc_stderr": 0.04464285714285714, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.04464285714285714 }, "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": 0.2948717948717949, "acc_stderr": 0.029872577708891148, "acc_norm": 0.2948717948717949, "acc_norm_stderr": 0.029872577708891148 }, "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": 0.23243933588761176, "acc_stderr": 0.015104550008905702, "acc_norm": 0.23243933588761176, "acc_norm_stderr": 0.015104550008905702 }, "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": 0.23798882681564246, "acc_stderr": 0.014242630070574915, "acc_norm": 0.23798882681564246, "acc_norm_stderr": 0.014242630070574915 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.22875816993464052, "acc_stderr": 0.02405102973991225, "acc_norm": 0.22875816993464052, "acc_norm_stderr": 0.02405102973991225 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.1864951768488746, "acc_stderr": 0.02212243977248077, "acc_norm": 0.1864951768488746, "acc_norm_stderr": 0.02212243977248077 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.21296296296296297, "acc_stderr": 0.0227797190887334, "acc_norm": 0.21296296296296297, "acc_norm_stderr": 0.0227797190887334 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.23404255319148937, "acc_stderr": 0.025257861359432417, "acc_norm": 0.23404255319148937, "acc_norm_stderr": 0.025257861359432417 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.2457627118644068, "acc_stderr": 0.010996156635142692, "acc_norm": 0.2457627118644068, "acc_norm_stderr": 0.010996156635142692 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.2426470588235294, "acc_stderr": 0.026040662474201247, "acc_norm": 0.2426470588235294, "acc_norm_stderr": 0.026040662474201247 }, "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": 0.18775510204081633, "acc_stderr": 0.02500025603954621, "acc_norm": 0.18775510204081633, "acc_norm_stderr": 0.02500025603954621 }, "harness|hendrycksTest-sociology|5": { "acc": 0.24378109452736318, "acc_stderr": 0.03036049015401465, "acc_norm": 0.24378109452736318, "acc_norm_stderr": 0.03036049015401465 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-virology|5": { "acc": 0.2710843373493976, "acc_stderr": 0.03460579907553027, "acc_norm": 0.2710843373493976, "acc_norm_stderr": 0.03460579907553027 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.26900584795321636, "acc_stderr": 0.0340105262010409, "acc_norm": 0.26900584795321636, "acc_norm_stderr": 0.0340105262010409 }, "harness|truthfulqa:mc|0": { "mc1": 0.25458996328029376, "mc1_stderr": 0.015250117079156487, "mc2": 0.5166805857294422, "mc2_stderr": 0.016293087426390157 }, "harness|winogrande|5": { "acc": 0.4925019731649566, "acc_stderr": 0.014050905521228573 }, "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 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[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]

CyberHarem/marseillaise_azurlane

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of marseillaise/マルセイエーズ/马赛曲 (Azur Lane) This is the dataset of marseillaise/マルセイエーズ/马赛曲 (Azur Lane), containing 23 images and their tags. The core tags of this character are `breasts, long_hair, red_eyes, large_breasts, bangs, white_hair, very_long_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 | 23 | 52.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 23 | 21.14 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 63 | 49.55 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 23 | 43.19 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 63 | 83.50 MiB | [Download](https://huggingface.co/datasets/CyberHarem/marseillaise_azurlane/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/marseillaise_azurlane', 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 | 8 | ![](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, blush, cleavage, detached_sleeves, looking_at_viewer, white_dress, black_thighhighs, navel, black_gloves, closed_mouth, hair_ornament, thighs, horns, smile, cowboy_shot, long_sleeves, panties, simple_background, white_background | | 1 | 6 | ![](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_pants, looking_at_viewer, solo, sports_bra, yoga_pants, ass, bare_shoulders, blush, no_shoes, sweat, sitting, closed_mouth, grey_hair, looking_back, white_socks | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | blush | cleavage | detached_sleeves | looking_at_viewer | white_dress | black_thighhighs | navel | black_gloves | closed_mouth | hair_ornament | thighs | horns | smile | cowboy_shot | long_sleeves | panties | simple_background | white_background | black_pants | sports_bra | yoga_pants | ass | bare_shoulders | no_shoes | sweat | sitting | grey_hair | looking_back | white_socks | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------|:-----------|:-------------------|:--------------------|:--------------|:-------------------|:--------|:---------------|:---------------|:----------------|:---------|:--------|:--------|:--------------|:---------------|:----------|:--------------------|:-------------------|:--------------|:-------------|:-------------|:------|:-----------------|:-----------|:--------|:----------|:------------|:---------------|:--------------| | 0 | 8 | ![](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 | X | X | X | | | | | | | | | | | | | 1 | 6 | ![](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 | X |

kaleemWaheed/twitter_dataset_1713134790

--- 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: 23978 num_examples: 57 download_size: 13683 dataset_size: 23978 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_Syed-Hasan-8503__openhermes-gemma-2b-it

--- pretty_name: Evaluation run of Syed-Hasan-8503/openhermes-gemma-2b-it dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Syed-Hasan-8503/openhermes-gemma-2b-it](https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it)\ \ 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_Syed-Hasan-8503__openhermes-gemma-2b-it\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-22T14:39:27.607922](https://huggingface.co/datasets/open-llm-leaderboard/details_Syed-Hasan-8503__openhermes-gemma-2b-it/blob/main/results_2024-02-22T14-39-27.607922.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\": 0.37696524742191334,\n\ \ \"acc_stderr\": 0.03381316358729798,\n \"acc_norm\": 0.3815378335823341,\n\ \ \"acc_norm_stderr\": 0.03461953317836164,\n \"mc1\": 0.29008567931456547,\n\ \ \"mc1_stderr\": 0.01588623687420952,\n \"mc2\": 0.458323806326475,\n\ \ \"mc2_stderr\": 0.015931044127458407\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.4044368600682594,\n \"acc_stderr\": 0.014342036483436172,\n\ \ \"acc_norm\": 0.439419795221843,\n \"acc_norm_stderr\": 0.01450374782358013\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.4810794662417845,\n\ \ \"acc_stderr\": 0.00498620758186293,\n \"acc_norm\": 0.627365066719777,\n\ \ \"acc_norm_stderr\": 0.004825179407757572\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.3851851851851852,\n\ \ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.3851851851851852,\n\ \ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.3355263157894737,\n \"acc_stderr\": 0.03842498559395269,\n\ \ \"acc_norm\": 0.3355263157894737,\n \"acc_norm_stderr\": 0.03842498559395269\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.48,\n\ \ \"acc_stderr\": 0.05021167315686779,\n \"acc_norm\": 0.48,\n \ \ \"acc_norm_stderr\": 0.05021167315686779\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.42641509433962266,\n \"acc_stderr\": 0.030437794342983042,\n\ \ \"acc_norm\": 0.42641509433962266,\n \"acc_norm_stderr\": 0.030437794342983042\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3402777777777778,\n\ \ \"acc_stderr\": 0.03962135573486219,\n \"acc_norm\": 0.3402777777777778,\n\ \ \"acc_norm_stderr\": 0.03962135573486219\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768077,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768077\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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_mathematics|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-college_medicine|5\": {\n \"acc\": 0.3583815028901734,\n\ \ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.3583815028901734,\n\ \ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.18627450980392157,\n \"acc_stderr\": 0.038739587141493524,\n\ \ \"acc_norm\": 0.18627450980392157,\n \"acc_norm_stderr\": 0.038739587141493524\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \"\ acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.35319148936170214,\n \"acc_stderr\": 0.031245325202761923,\n\ \ \"acc_norm\": 0.35319148936170214,\n \"acc_norm_stderr\": 0.031245325202761923\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2807017543859649,\n\ \ \"acc_stderr\": 0.042270544512322,\n \"acc_norm\": 0.2807017543859649,\n\ \ \"acc_norm_stderr\": 0.042270544512322\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.46206896551724136,\n \"acc_stderr\": 0.04154659671707546,\n\ \ \"acc_norm\": 0.46206896551724136,\n \"acc_norm_stderr\": 0.04154659671707546\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.24867724867724866,\n \"acc_stderr\": 0.022261817692400168,\n \"\ acc_norm\": 0.24867724867724866,\n \"acc_norm_stderr\": 0.022261817692400168\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.25396825396825395,\n\ \ \"acc_stderr\": 0.03893259610604674,\n \"acc_norm\": 0.25396825396825395,\n\ \ \"acc_norm_stderr\": 0.03893259610604674\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.3161290322580645,\n\ \ \"acc_stderr\": 0.02645087448904277,\n \"acc_norm\": 0.3161290322580645,\n\ \ \"acc_norm_stderr\": 0.02645087448904277\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\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.46060606060606063,\n \"acc_stderr\": 0.03892207016552012,\n\ \ \"acc_norm\": 0.46060606060606063,\n \"acc_norm_stderr\": 0.03892207016552012\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.4595959595959596,\n \"acc_stderr\": 0.035507024651313425,\n \"\ acc_norm\": 0.4595959595959596,\n \"acc_norm_stderr\": 0.035507024651313425\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.47668393782383417,\n \"acc_stderr\": 0.03604513672442207,\n\ \ \"acc_norm\": 0.47668393782383417,\n \"acc_norm_stderr\": 0.03604513672442207\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.3282051282051282,\n \"acc_stderr\": 0.023807633198657262,\n\ \ \"acc_norm\": 0.3282051282051282,\n \"acc_norm_stderr\": 0.023807633198657262\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2,\n \"acc_stderr\": 0.024388430433987664,\n \"acc_norm\"\ : 0.2,\n \"acc_norm_stderr\": 0.024388430433987664\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\ : {\n \"acc\": 0.3403361344537815,\n \"acc_stderr\": 0.030778057422931673,\n\ \ \"acc_norm\": 0.3403361344537815,\n \"acc_norm_stderr\": 0.030778057422931673\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2582781456953642,\n \"acc_stderr\": 0.035737053147634576,\n \"\ acc_norm\": 0.2582781456953642,\n \"acc_norm_stderr\": 0.035737053147634576\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.5100917431192661,\n \"acc_stderr\": 0.021432956203453316,\n \"\ acc_norm\": 0.5100917431192661,\n \"acc_norm_stderr\": 0.021432956203453316\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.2037037037037037,\n \"acc_stderr\": 0.027467401804057986,\n \"\ acc_norm\": 0.2037037037037037,\n \"acc_norm_stderr\": 0.027467401804057986\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.4215686274509804,\n \"acc_stderr\": 0.03465868196380758,\n \"\ acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.03465868196380758\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.5189873417721519,\n \"acc_stderr\": 0.03252375148090448,\n \ \ \"acc_norm\": 0.5189873417721519,\n \"acc_norm_stderr\": 0.03252375148090448\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3901345291479821,\n\ \ \"acc_stderr\": 0.03273766725459157,\n \"acc_norm\": 0.3901345291479821,\n\ \ \"acc_norm_stderr\": 0.03273766725459157\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.42748091603053434,\n \"acc_stderr\": 0.04338920305792401,\n\ \ \"acc_norm\": 0.42748091603053434,\n \"acc_norm_stderr\": 0.04338920305792401\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.5206611570247934,\n \"acc_stderr\": 0.04560456086387235,\n \"\ acc_norm\": 0.5206611570247934,\n \"acc_norm_stderr\": 0.04560456086387235\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.46296296296296297,\n\ \ \"acc_stderr\": 0.04820403072760627,\n \"acc_norm\": 0.46296296296296297,\n\ \ \"acc_norm_stderr\": 0.04820403072760627\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.3619631901840491,\n \"acc_stderr\": 0.037757007291414416,\n\ \ \"acc_norm\": 0.3619631901840491,\n \"acc_norm_stderr\": 0.037757007291414416\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.044642857142857116,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.044642857142857116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.44660194174757284,\n \"acc_stderr\": 0.04922424153458933,\n\ \ \"acc_norm\": 0.44660194174757284,\n \"acc_norm_stderr\": 0.04922424153458933\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.594017094017094,\n\ \ \"acc_stderr\": 0.03217180182641086,\n \"acc_norm\": 0.594017094017094,\n\ \ \"acc_norm_stderr\": 0.03217180182641086\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.46360153256704983,\n\ \ \"acc_stderr\": 0.01783252407959326,\n \"acc_norm\": 0.46360153256704983,\n\ \ \"acc_norm_stderr\": 0.01783252407959326\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.407514450867052,\n \"acc_stderr\": 0.0264545781469315,\n\ \ \"acc_norm\": 0.407514450867052,\n \"acc_norm_stderr\": 0.0264545781469315\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2536312849162011,\n\ \ \"acc_stderr\": 0.01455155365936992,\n \"acc_norm\": 0.2536312849162011,\n\ \ \"acc_norm_stderr\": 0.01455155365936992\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.02849199358617157,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.02849199358617157\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.40192926045016075,\n\ \ \"acc_stderr\": 0.027846476005930473,\n \"acc_norm\": 0.40192926045016075,\n\ \ \"acc_norm_stderr\": 0.027846476005930473\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.4074074074074074,\n \"acc_stderr\": 0.027339546640662727,\n\ \ \"acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.027339546640662727\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.3049645390070922,\n \"acc_stderr\": 0.027464708442022135,\n \ \ \"acc_norm\": 0.3049645390070922,\n \"acc_norm_stderr\": 0.027464708442022135\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.31877444589308995,\n\ \ \"acc_stderr\": 0.0119018956357861,\n \"acc_norm\": 0.31877444589308995,\n\ \ \"acc_norm_stderr\": 0.0119018956357861\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.20220588235294118,\n \"acc_stderr\": 0.024398192986654924,\n\ \ \"acc_norm\": 0.20220588235294118,\n \"acc_norm_stderr\": 0.024398192986654924\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.380718954248366,\n \"acc_stderr\": 0.019643801557924806,\n \ \ \"acc_norm\": 0.380718954248366,\n \"acc_norm_stderr\": 0.019643801557924806\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.41818181818181815,\n\ \ \"acc_stderr\": 0.0472457740573157,\n \"acc_norm\": 0.41818181818181815,\n\ \ \"acc_norm_stderr\": 0.0472457740573157\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.47346938775510206,\n \"acc_stderr\": 0.03196412734523272,\n\ \ \"acc_norm\": 0.47346938775510206,\n \"acc_norm_stderr\": 0.03196412734523272\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.43283582089552236,\n\ \ \"acc_stderr\": 0.03503490923673281,\n \"acc_norm\": 0.43283582089552236,\n\ \ \"acc_norm_stderr\": 0.03503490923673281\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.64,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.64,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4036144578313253,\n\ \ \"acc_stderr\": 0.038194861407583984,\n \"acc_norm\": 0.4036144578313253,\n\ \ \"acc_norm_stderr\": 0.038194861407583984\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.4444444444444444,\n \"acc_stderr\": 0.03811079669833531,\n\ \ \"acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03811079669833531\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.29008567931456547,\n\ \ \"mc1_stderr\": 0.01588623687420952,\n \"mc2\": 0.458323806326475,\n\ \ \"mc2_stderr\": 0.015931044127458407\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6093133385951065,\n \"acc_stderr\": 0.01371253603655665\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.056103108415466264,\n \ \ \"acc_stderr\": 0.006338668431321893\n }\n}\n```" repo_url: https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it 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_02_22T14_39_27.607922 path: - '**/details_harness|arc:challenge|25_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-22T14-39-27.607922.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|gsm8k|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hellaswag|10_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-22T14-39-27.607922.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-management|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-22T14-39-27.607922.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|truthfulqa:mc|0_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-22T14-39-27.607922.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_22T14_39_27.607922 path: - '**/details_harness|winogrande|5_2024-02-22T14-39-27.607922.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-22T14-39-27.607922.parquet' - config_name: results data_files: - split: 2024_02_22T14_39_27.607922 path: - results_2024-02-22T14-39-27.607922.parquet - split: latest path: - results_2024-02-22T14-39-27.607922.parquet --- # Dataset Card for Evaluation run of Syed-Hasan-8503/openhermes-gemma-2b-it  Dataset automatically created during the evaluation run of model [Syed-Hasan-8503/openhermes-gemma-2b-it](https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it) 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_Syed-Hasan-8503__openhermes-gemma-2b-it", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-22T14:39:27.607922](https://huggingface.co/datasets/open-llm-leaderboard/details_Syed-Hasan-8503__openhermes-gemma-2b-it/blob/main/results_2024-02-22T14-39-27.607922.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": 0.37696524742191334, "acc_stderr": 0.03381316358729798, "acc_norm": 0.3815378335823341, "acc_norm_stderr": 0.03461953317836164, "mc1": 0.29008567931456547, "mc1_stderr": 0.01588623687420952, "mc2": 0.458323806326475, "mc2_stderr": 0.015931044127458407 }, "harness|arc:challenge|25": { "acc": 0.4044368600682594, "acc_stderr": 0.014342036483436172, "acc_norm": 0.439419795221843, "acc_norm_stderr": 0.01450374782358013 }, "harness|hellaswag|10": { "acc": 0.4810794662417845, "acc_stderr": 0.00498620758186293, "acc_norm": 0.627365066719777, "acc_norm_stderr": 0.004825179407757572 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3851851851851852, "acc_stderr": 0.042039210401562783, "acc_norm": 0.3851851851851852, "acc_norm_stderr": 0.042039210401562783 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3355263157894737, "acc_stderr": 0.03842498559395269, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.03842498559395269 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.48, "acc_stderr": 0.05021167315686779, "acc_norm": 0.48, "acc_norm_stderr": 0.05021167315686779 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.42641509433962266, "acc_stderr": 0.030437794342983042, "acc_norm": 0.42641509433962266, "acc_norm_stderr": 0.030437794342983042 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3402777777777778, "acc_stderr": 0.03962135573486219, "acc_norm": 0.3402777777777778, "acc_norm_stderr": 0.03962135573486219 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.26, "acc_stderr": 0.04408440022768077, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768077 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, 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"harness|hendrycksTest-jurisprudence|5": { "acc": 0.46296296296296297, "acc_stderr": 0.04820403072760627, "acc_norm": 0.46296296296296297, "acc_norm_stderr": 0.04820403072760627 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.3619631901840491, "acc_stderr": 0.037757007291414416, "acc_norm": 0.3619631901840491, "acc_norm_stderr": 0.037757007291414416 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.33035714285714285, "acc_stderr": 0.044642857142857116, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.044642857142857116 }, "harness|hendrycksTest-management|5": { "acc": 0.44660194174757284, "acc_stderr": 0.04922424153458933, "acc_norm": 0.44660194174757284, "acc_norm_stderr": 0.04922424153458933 }, "harness|hendrycksTest-marketing|5": { "acc": 0.594017094017094, "acc_stderr": 0.03217180182641086, "acc_norm": 0.594017094017094, "acc_norm_stderr": 0.03217180182641086 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.46360153256704983, "acc_stderr": 0.01783252407959326, "acc_norm": 0.46360153256704983, "acc_norm_stderr": 0.01783252407959326 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.407514450867052, "acc_stderr": 0.0264545781469315, "acc_norm": 0.407514450867052, "acc_norm_stderr": 0.0264545781469315 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2536312849162011, "acc_stderr": 0.01455155365936992, "acc_norm": 0.2536312849162011, "acc_norm_stderr": 0.01455155365936992 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.45098039215686275, "acc_stderr": 0.02849199358617157, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.02849199358617157 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.40192926045016075, "acc_stderr": 0.027846476005930473, "acc_norm": 0.40192926045016075, "acc_norm_stderr": 0.027846476005930473 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.4074074074074074, "acc_stderr": 0.027339546640662727, "acc_norm": 0.4074074074074074, "acc_norm_stderr": 0.027339546640662727 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.3049645390070922, "acc_stderr": 0.027464708442022135, "acc_norm": 0.3049645390070922, "acc_norm_stderr": 0.027464708442022135 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.31877444589308995, "acc_stderr": 0.0119018956357861, "acc_norm": 0.31877444589308995, "acc_norm_stderr": 0.0119018956357861 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.20220588235294118, "acc_stderr": 0.024398192986654924, "acc_norm": 0.20220588235294118, "acc_norm_stderr": 0.024398192986654924 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.380718954248366, "acc_stderr": 0.019643801557924806, "acc_norm": 0.380718954248366, "acc_norm_stderr": 0.019643801557924806 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.41818181818181815, "acc_stderr": 0.0472457740573157, "acc_norm": 0.41818181818181815, "acc_norm_stderr": 0.0472457740573157 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.47346938775510206, "acc_stderr": 0.03196412734523272, "acc_norm": 0.47346938775510206, "acc_norm_stderr": 0.03196412734523272 }, "harness|hendrycksTest-sociology|5": { "acc": 0.43283582089552236, "acc_stderr": 0.03503490923673281, "acc_norm": 0.43283582089552236, "acc_norm_stderr": 0.03503490923673281 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-virology|5": { "acc": 0.4036144578313253, "acc_stderr": 0.038194861407583984, "acc_norm": 0.4036144578313253, "acc_norm_stderr": 0.038194861407583984 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.4444444444444444, "acc_stderr": 0.03811079669833531, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.03811079669833531 }, "harness|truthfulqa:mc|0": { "mc1": 0.29008567931456547, "mc1_stderr": 0.01588623687420952, "mc2": 0.458323806326475, "mc2_stderr": 0.015931044127458407 }, "harness|winogrande|5": { "acc": 0.6093133385951065, "acc_stderr": 0.01371253603655665 }, "harness|gsm8k|5": { "acc": 0.056103108415466264, "acc_stderr": 0.006338668431321893 } } ``` ## 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]

karpathy/tiny_shakespeare

--- paperswithcode_id: null pretty_name: TinyShakespeare dataset_info: features: - name: text dtype: string splits: - name: test num_bytes: 55780 num_examples: 1 - name: train num_bytes: 1003864 num_examples: 1 - name: validation num_bytes: 55780 num_examples: 1 download_size: 1115394 dataset_size: 1115424 --- # Dataset Card for "tiny_shakespeare" ## 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:** [https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt](https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt) - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of downloaded dataset files:** 1.11 MB - **Size of the generated dataset:** 1.11 MB - **Total amount of disk used:** 2.23 MB ### Dataset Summary 40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/. To use for e.g. character modelling: ``` d = datasets.load_dataset(name='tiny_shakespeare')['train'] d = d.map(lambda x: datasets.Value('strings').unicode_split(x['text'], 'UTF-8')) # train split includes vocabulary for other splits vocabulary = sorted(set(next(iter(d)).numpy())) d = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]}) d = d.unbatch() seq_len = 100 batch_size = 2 d = d.batch(seq_len) d = d.batch(batch_size) ``` ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Dataset Structure ### Data Instances #### default - **Size of downloaded dataset files:** 1.11 MB - **Size of the generated dataset:** 1.11 MB - **Total amount of disk used:** 2.23 MB An example of 'train' looks as follows. ``` { "text": "First Citizen:\nBefore we proceed any further, hear me " } ``` ### Data Fields The data fields are the same among all splits. #### default - `text`: a `string` feature. ### Data Splits | name |train|validation|test| |-------|----:|---------:|---:| |default| 1| 1| 1| ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @misc{ author={Karpathy, Andrej}, title={char-rnn}, year={2015}, howpublished={\url{https://github.com/karpathy/char-rnn}} } ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.

jmartin233/reading_comprehension_exercise_dataset_v2

--- dataset_info: features: - name: person dtype: string - name: location dtype: string - name: grammar dtype: string - name: level dtype: string - name: passage dtype: string splits: - name: train num_bytes: 104862 num_examples: 171 download_size: 53842 dataset_size: 104862 --- # Dataset Card for "reading_comprehension_exercise_dataset_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

jbilcke-hf/ai-tube-tensar-studios

--- license: cc-by-nc-sa-4.0 pretty_name: Tensar Studios --- ## Description Follow us to experience a new era of 3D AI-animated short films. ## Model SVD ## LoRA artificialguybr/3DRedmond-V1 ## Style - 3D Render Style - 3DRenderAF ## Voice Cloée ## Music Background cinematic music ## Prompt A video channel which produces short 3D films of fictional franchises. Stories should be short, about 1 minute or 2, but full of action and fun. It will NEVER create content from existing artists or studio. Instead it will create its own artistic stories, content, stories and characters. Characters should not be biased towards any specific gender, work, country, religion or culture. Some themes should be avoided in the stories, such as violence, sex, war, crimes etc. No nudity is tolerated. It should use animal characters whenever possible, but also human characters. Characters should be very cartoony / cute.

taesiri/imagenet-hard-4K

--- dataset_info: features: - name: id dtype: int64 - name: image dtype: image - name: label sequence: int64 - name: origin dtype: string - name: english_label sequence: string splits: - name: validation num_bytes: 70959420455.86 num_examples: 10980 download_size: 66129324319 dataset_size: 70959420455.86 license: mit task_categories: - image-classification language: - en tags: - OOD - ImageNet - Out Of Distribution pretty_name: ImageNet-Hard-4K size_categories: - 10K<n<100K --- # Dataset Card for "Imagenet-Hard-4K" [Project Page](https://taesiri.github.io/ZoomIsAllYouNeed/) - [Paper](https://arxiv.org/abs/2304.05538) - [Github](https://github.com/taesiri/ZoomIsAllYouNeed) **ImageNet-Hard-4K** is 4K version of the original [**ImageNet-Hard**](https://huggingface.co/datasets/taesiri/imagenet-hard) dataset, which is a new benchmark that comprises 10,980 images collected from various existing ImageNet-scale benchmarks (ImageNet, ImageNet-V2, ImageNet-Sketch, ImageNet-C, ImageNet-R, ImageNet-ReaL, ImageNet-A, and ObjectNet). This dataset poses a significant challenge to state-of-the-art vision models as merely zooming in often fails to improve their ability to classify images correctly. As a result, even the most advanced models, such as `CLIP-ViT-L/14@336px`, struggle to perform well on this dataset, achieving a mere `2.02%` accuracy. ## Upscaling Procedure We employed [GigaGAN](https://mingukkang.github.io/GigaGAN/) to upscale each image from the original ImageNet-Hard dataset to a resolution of 4K. ### Dataset Distribution ![Dataset Distribution](https://taesiri.github.io/ZoomIsAllYouNeed/static/svg/imagenet_hard_distribution.svg) ### Classifiers Performance | Model | Accuracy | | ------------------- | -------- | | AlexNet | 7.08 | | VGG-16 | 11.32 | | ResNet-18 | 10.42 | | ResNet-50 | 13.93 | | ViT-B/32 | 18.12 | | EfficientNet-B0 | 12.94 | | EfficientNet-B7 | 18.67 | | EfficientNet-L2-Ns | 28.42 | | CLIP-ViT-L/14@224px | 1.81 | | CLIP-ViT-L/14@336px | 1.88 | | OpenCLIP-ViT-bigG-14| 14.33 | | OpenCLIP-ViT-L-14 | 13.04 | **Evaluation Code** * CLIP <a target="_blank" href="https://colab.research.google.com/github/taesiri/ZoomIsAllYouNeed/blob/main/src/ImageNet_Hard/Prompt_Engineering_for_ImageNet_Hard.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> </a> * Other models <a target="_blank" href="https://colab.research.google.com/github/taesiri/ZoomIsAllYouNeed/blob/main/src/ImageNet_Hard/Benchmark_ImageNet_Hard.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/> </a> ## Supported Tasks - `image-classification`: The objective of this task is to classify an image into one or more classes, selected from 1000 ImageNet categories (allowing for multiple ground-truth labels per image). ## Languages The `english_label` field in the dataset are in English. ## Dataset Structure Data Instances An example looks like this: ```python { 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=575x409 at 0x7F09456B53A0>, 'label': [0], 'origin': 'imagenet_sketch', 'english_label': ['tench'] } ``` ### Data Fields The data instances have the following fields: - image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0]. - label: A List[int] collection containing the ground-truth ids. - origin: A string containing source dataset. - english_label: A List[str] collection containg the english labels for the ground-truth classes. <details> <summary> Click here to see the full list of ImageNet class labels mapping: </summary> |id|Class| |--|-----| |0 | tench, Tinca tinca| |1 | goldfish, Carassius auratus| |2 | great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias| |3 | tiger shark, Galeocerdo cuvieri| |4 | hammerhead, hammerhead shark| |5 | electric ray, crampfish, numbfish, torpedo| |6 | stingray| |7 | cock| |8 | hen| |9 | ostrich, Struthio camelus| |10 | brambling, Fringilla montifringilla| |11 | goldfinch, Carduelis carduelis| |12 | house finch, linnet, Carpodacus mexicanus| |13 | junco, snowbird| |14 | indigo bunting, indigo finch, indigo bird, Passerina cyanea| |15 | robin, American robin, Turdus migratorius| |16 | bulbul| |17 | jay| |18 | magpie| |19 | chickadee| |20 | water ouzel, dipper| |21 | kite| |22 | bald eagle, American eagle, Haliaeetus leucocephalus| |23 | vulture| |24 | great grey owl, great gray owl, Strix nebulosa| |25 | European fire salamander, Salamandra salamandra| |26 | common newt, Triturus vulgaris| |27 | eft| |28 | spotted salamander, Ambystoma maculatum| |29 | axolotl, mud puppy, Ambystoma mexicanum| |30 | bullfrog, Rana catesbeiana| |31 | tree frog, tree-frog| |32 | tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui| |33 | loggerhead, loggerhead turtle, Caretta caretta| |34 | leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea| |35 | mud turtle| |36 | terrapin| |37 | box turtle, box tortoise| |38 | banded gecko| |39 | common iguana, iguana, Iguana iguana| |40 | American chameleon, anole, Anolis carolinensis| |41 | whiptail, whiptail lizard| |42 | agama| |43 | frilled lizard, Chlamydosaurus kingi| |44 | alligator lizard| |45 | Gila monster, Heloderma suspectum| |46 | green lizard, Lacerta viridis| |47 | African chameleon, Chamaeleo chamaeleon| |48 | Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis| |49 | African crocodile, Nile crocodile, Crocodylus niloticus| |50 | American alligator, Alligator mississipiensis| |51 | triceratops| |52 | thunder snake, worm snake, Carphophis amoenus| |53 | ringneck snake, ring-necked snake, ring snake| |54 | hognose snake, puff adder, sand viper| |55 | green snake, grass snake| |56 | king snake, kingsnake| |57 | garter snake, grass snake| |58 | water snake| |59 | vine snake| |60 | night snake, Hypsiglena torquata| |61 | boa constrictor, Constrictor constrictor| |62 | rock python, rock snake, Python sebae| |63 | Indian cobra, Naja naja| |64 | green mamba| |65 | sea snake| |66 | horned viper, cerastes, sand viper, horned asp, Cerastes cornutus| |67 | diamondback, diamondback rattlesnake, Crotalus adamanteus| |68 | sidewinder, horned rattlesnake, Crotalus cerastes| |69 | trilobite| |70 | harvestman, daddy longlegs, Phalangium opilio| |71 | scorpion| |72 | black and gold garden spider, Argiope aurantia| |73 | barn spider, Araneus cavaticus| |74 | garden spider, Aranea diademata| |75 | black widow, Latrodectus mactans| |76 | tarantula| |77 | wolf spider, hunting spider| |78 | tick| |79 | centipede| |80 | black grouse| |81 | ptarmigan| |82 | ruffed grouse, partridge, Bonasa umbellus| |83 | prairie chicken, prairie grouse, prairie fowl| |84 | peacock| |85 | quail| |86 | partridge| |87 | African grey, African gray, Psittacus erithacus| |88 | macaw| |89 | sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita| |90 | lorikeet| |91 | coucal| |92 | bee eater| |93 | hornbill| |94 | hummingbird| |95 | jacamar| |96 | toucan| |97 | drake| |98 | red-breasted merganser, Mergus serrator| |99 | goose| |100 | black swan, Cygnus atratus| |101 | tusker| |102 | echidna, spiny anteater, anteater| |103 | platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus| |104 | wallaby, brush kangaroo| |105 | koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus| |106 | wombat| |107 | jellyfish| |108 | sea anemone, anemone| |109 | brain coral| |110 | flatworm, platyhelminth| |111 | nematode, nematode worm, roundworm| |112 | conch| |113 | snail| |114 | slug| |115 | sea slug, nudibranch| |116 | chiton, coat-of-mail shell, sea cradle, polyplacophore| |117 | chambered nautilus, pearly nautilus, nautilus| |118 | Dungeness crab, Cancer magister| |119 | rock crab, Cancer irroratus| |120 | fiddler crab| |121 | king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica| |122 | American lobster, Northern lobster, Maine lobster, Homarus americanus| |123 | spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish| |124 | crayfish, crawfish, crawdad, crawdaddy| |125 | hermit crab| |126 | isopod| |127 | white stork, Ciconia ciconia| |128 | black stork, Ciconia nigra| |129 | spoonbill| |130 | flamingo| |131 | little blue heron, Egretta caerulea| |132 | American egret, great white heron, Egretta albus| |133 | bittern| |134 | crane| |135 | limpkin, Aramus pictus| |136 | European gallinule, Porphyrio porphyrio| |137 | American coot, marsh hen, mud hen, water hen, Fulica americana| |138 | bustard| |139 | ruddy turnstone, Arenaria interpres| |140 | red-backed sandpiper, dunlin, Erolia alpina| |141 | redshank, Tringa totanus| |142 | dowitcher| |143 | oystercatcher, oyster catcher| |144 | pelican| |145 | king penguin, Aptenodytes patagonica| |146 | albatross, mollymawk| |147 | grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus| |148 | killer whale, killer, orca, grampus, sea wolf, Orcinus orca| |149 | dugong, Dugong dugon| |150 | sea lion| |151 | Chihuahua| |152 | Japanese spaniel| |153 | Maltese dog, Maltese terrier, Maltese| |154 | Pekinese, Pekingese, Peke| |155 | Shih-Tzu| |156 | Blenheim spaniel| |157 | papillon| |158 | toy terrier| |159 | Rhodesian ridgeback| |160 | Afghan hound, Afghan| |161 | basset, basset hound| |162 | beagle| |163 | bloodhound, sleuthhound| |164 | bluetick| |165 | black-and-tan coonhound| |166 | Walker hound, Walker foxhound| |167 | English foxhound| |168 | redbone| |169 | borzoi, Russian wolfhound| |170 | Irish wolfhound| |171 | Italian greyhound| |172 | whippet| |173 | Ibizan hound, Ibizan Podenco| |174 | Norwegian elkhound, elkhound| |175 | otterhound, otter hound| |176 | Saluki, gazelle hound| |177 | Scottish deerhound, deerhound| |178 | Weimaraner| |179 | Staffordshire bullterrier, Staffordshire bull terrier| |180 | American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier| |181 | Bedlington terrier| |182 | Border terrier| |183 | Kerry blue terrier| |184 | Irish terrier| |185 | Norfolk terrier| |186 | Norwich terrier| |187 | Yorkshire terrier| |188 | wire-haired fox terrier| |189 | Lakeland terrier| |190 | Sealyham terrier, Sealyham| |191 | Airedale, Airedale terrier| |192 | cairn, cairn terrier| |193 | Australian terrier| |194 | Dandie Dinmont, Dandie Dinmont terrier| |195 | Boston bull, Boston terrier| |196 | miniature schnauzer| |197 | giant schnauzer| |198 | standard schnauzer| |199 | Scotch terrier, Scottish terrier, Scottie| |200 | Tibetan terrier, chrysanthemum dog| |201 | silky terrier, Sydney silky| |202 | soft-coated wheaten terrier| |203 | West Highland white terrier| |204 | Lhasa, Lhasa apso| |205 | flat-coated retriever| |206 | curly-coated retriever| |207 | golden retriever| |208 | Labrador retriever| |209 | Chesapeake Bay retriever| |210 | German short-haired pointer| |211 | vizsla, Hungarian pointer| |212 | English setter| |213 | Irish setter, red setter| |214 | Gordon setter| |215 | Brittany spaniel| |216 | clumber, clumber spaniel| |217 | English springer, English springer spaniel| |218 | Welsh springer spaniel| |219 | cocker spaniel, English cocker spaniel, cocker| |220 | Sussex spaniel| |221 | Irish water spaniel| |222 | kuvasz| |223 | schipperke| |224 | groenendael| |225 | malinois| |226 | briard| |227 | kelpie| |228 | komondor| |229 | Old English sheepdog, bobtail| |230 | Shetland sheepdog, Shetland sheep dog, Shetland| |231 | collie| |232 | Border collie| |233 | Bouvier des Flandres, Bouviers des Flandres| |234 | Rottweiler| |235 | German shepherd, German shepherd dog, German police dog, alsatian| |236 | Doberman, Doberman pinscher| |237 | miniature pinscher| |238 | Greater Swiss Mountain dog| |239 | Bernese mountain dog| |240 | Appenzeller| |241 | EntleBucher| |242 | boxer| |243 | bull mastiff| |244 | Tibetan mastiff| |245 | French bulldog| |246 | Great Dane| |247 | Saint Bernard, St Bernard| |248 | Eskimo dog, husky| |249 | malamute, malemute, Alaskan malamute| |250 | Siberian husky| |251 | dalmatian, coach dog, carriage dog| |252 | affenpinscher, monkey pinscher, monkey dog| |253 | basenji| |254 | pug, pug-dog| |255 | Leonberg| |256 | Newfoundland, Newfoundland dog| |257 | Great Pyrenees| |258 | Samoyed, Samoyede| |259 | Pomeranian| |260 | chow, chow chow| |261 | keeshond| |262 | Brabancon griffon| |263 | Pembroke, Pembroke Welsh corgi| |264 | Cardigan, Cardigan Welsh corgi| |265 | toy poodle| |266 | miniature poodle| |267 | standard poodle| |268 | Mexican hairless| |269 | timber wolf, grey wolf, gray wolf, Canis lupus| |270 | white wolf, Arctic wolf, Canis lupus tundrarum| |271 | red wolf, maned wolf, Canis rufus, Canis niger| |272 | coyote, prairie wolf, brush wolf, Canis latrans| |273 | dingo, warrigal, warragal, Canis dingo| |274 | dhole, Cuon alpinus| |275 | African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus| |276 | hyena, hyaena| |277 | red fox, Vulpes vulpes| |278 | kit fox, Vulpes macrotis| |279 | Arctic fox, white fox, Alopex lagopus| |280 | grey fox, gray fox, Urocyon cinereoargenteus| |281 | tabby, tabby cat| |282 | tiger cat| |283 | Persian cat| |284 | Siamese cat, Siamese| |285 | Egyptian cat| |286 | cougar, puma, catamount, mountain lion, painter, panther, Felis concolor| |287 | lynx, catamount| |288 | leopard, Panthera pardus| |289 | snow leopard, ounce, Panthera uncia| |290 | jaguar, panther, Panthera onca, Felis onca| |291 | lion, king of beasts, Panthera leo| |292 | tiger, Panthera tigris| |293 | cheetah, chetah, Acinonyx jubatus| |294 | brown bear, bruin, Ursus arctos| |295 | American black bear, black bear, Ursus americanus, Euarctos americanus| |296 | ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus| |297 | sloth bear, Melursus ursinus, Ursus ursinus| |298 | mongoose| |299 | meerkat, mierkat| |300 | tiger beetle| |301 | ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle| |302 | ground beetle, carabid beetle| |303 | long-horned beetle, longicorn, longicorn beetle| |304 | leaf beetle, chrysomelid| |305 | dung beetle| |306 | rhinoceros beetle| |307 | weevil| |308 | fly| |309 | bee| |310 | ant, emmet, pismire| |311 | grasshopper, hopper| |312 | cricket| |313 | walking stick, walkingstick, stick insect| |314 | cockroach, roach| |315 | mantis, mantid| |316 | cicada, cicala| |317 | leafhopper| |318 | lacewing, lacewing fly| |319 | dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk| |320 | damselfly| |321 | admiral| |322 | ringlet, ringlet butterfly| |323 | monarch, monarch butterfly, milkweed butterfly, Danaus plexippus| |324 | cabbage butterfly| |325 | sulphur butterfly, sulfur butterfly| |326 | lycaenid, lycaenid butterfly| |327 | starfish, sea star| |328 | sea urchin| |329 | sea cucumber, holothurian| |330 | wood rabbit, cottontail, cottontail rabbit| |331 | hare| |332 | Angora, Angora rabbit| |333 | hamster| |334 | porcupine, hedgehog| |335 | fox squirrel, eastern fox squirrel, Sciurus niger| |336 | marmot| |337 | beaver| |338 | guinea pig, Cavia cobaya| |339 | sorrel| |340 | zebra| |341 | hog, pig, grunter, squealer, Sus scrofa| |342 | wild boar, boar, Sus scrofa| |343 | warthog| |344 | hippopotamus, hippo, river horse, Hippopotamus amphibius| |345 | ox| |346 | water buffalo, water ox, Asiatic buffalo, Bubalus bubalis| |347 | bison| |348 | ram, tup| |349 | bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis| |350 | ibex, Capra ibex| |351 | hartebeest| |352 | impala, Aepyceros melampus| |353 | gazelle| |354 | Arabian camel, dromedary, Camelus dromedarius| |355 | llama| |356 | weasel| |357 | mink| |358 | polecat, fitch, foulmart, foumart, Mustela putorius| |359 | black-footed ferret, ferret, Mustela nigripes| |360 | otter| |361 | skunk, polecat, wood pussy| |362 | badger| |363 | armadillo| |364 | three-toed sloth, ai, Bradypus tridactylus| |365 | orangutan, orang, orangutang, Pongo pygmaeus| |366 | gorilla, Gorilla gorilla| |367 | chimpanzee, chimp, Pan troglodytes| |368 | gibbon, Hylobates lar| |369 | siamang, Hylobates syndactylus, Symphalangus syndactylus| |370 | guenon, guenon monkey| |371 | patas, hussar monkey, Erythrocebus patas| |372 | baboon| |373 | macaque| |374 | langur| |375 | colobus, colobus monkey| |376 | proboscis monkey, Nasalis larvatus| |377 | marmoset| |378 | capuchin, ringtail, Cebus capucinus| |379 | howler monkey, howler| |380 | titi, titi monkey| |381 | spider monkey, Ateles geoffroyi| |382 | squirrel monkey, Saimiri sciureus| |383 | Madagascar cat, ring-tailed lemur, Lemur catta| |384 | indri, indris, Indri indri, Indri brevicaudatus| |385 | Indian elephant, Elephas maximus| |386 | African elephant, Loxodonta africana| |387 | lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens| |388 | giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca| |389 | barracouta, snoek| |390 | eel| |391 | coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch| |392 | rock beauty, Holocanthus tricolor| |393 | anemone fish| |394 | sturgeon| |395 | gar, garfish, garpike, billfish, Lepisosteus osseus| |396 | lionfish| |397 | puffer, pufferfish, blowfish, globefish| |398 | abacus| |399 | abaya| |400 | academic gown, academic robe, judge's robe| |401 | accordion, piano accordion, squeeze box| |402 | acoustic guitar| |403 | aircraft carrier, carrier, flattop, attack aircraft carrier| |404 | airliner| |405 | airship, dirigible| |406 | altar| |407 | ambulance| |408 | amphibian, amphibious vehicle| |409 | analog clock| |410 | apiary, bee house| |411 | apron| |412 | ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin| |413 | assault rifle, assault gun| |414 | backpack, back pack, knapsack, packsack, rucksack, haversack| |415 | bakery, bakeshop, bakehouse| |416 | balance beam, beam| |417 | balloon| |418 | ballpoint, ballpoint pen, ballpen, Biro| |419 | Band Aid| |420 | banjo| |421 | bannister, banister, balustrade, balusters, handrail| |422 | barbell| |423 | barber chair| |424 | barbershop| |425 | barn| |426 | barometer| |427 | barrel, cask| |428 | barrow, garden cart, lawn cart, wheelbarrow| |429 | baseball| |430 | basketball| |431 | bassinet| |432 | bassoon| |433 | bathing cap, swimming cap| |434 | bath towel| |435 | bathtub, bathing tub, bath, tub| |436 | beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon| |437 | beacon, lighthouse, beacon light, pharos| |438 | beaker| |439 | bearskin, busby, shako| |440 | beer bottle| |441 | beer glass| |442 | bell cote, bell cot| |443 | bib| |444 | bicycle-built-for-two, tandem bicycle, tandem| |445 | bikini, two-piece| |446 | binder, ring-binder| |447 | binoculars, field glasses, opera glasses| |448 | birdhouse| |449 | boathouse| |450 | bobsled, bobsleigh, bob| |451 | bolo tie, bolo, bola tie, bola| |452 | bonnet, poke bonnet| |453 | bookcase| |454 | bookshop, bookstore, bookstall| |455 | bottlecap| |456 | bow| |457 | bow tie, bow-tie, bowtie| |458 | brass, memorial tablet, plaque| |459 | brassiere, bra, bandeau| |460 | breakwater, groin, groyne, mole, bulwark, seawall, jetty| |461 | breastplate, aegis, egis| |462 | broom| |463 | bucket, pail| |464 | buckle| |465 | bulletproof vest| |466 | bullet train, bullet| |467 | butcher shop, meat market| |468 | cab, hack, taxi, taxicab| |469 | caldron, cauldron| |470 | candle, taper, wax light| |471 | cannon| |472 | canoe| |473 | can opener, tin opener| |474 | cardigan| |475 | car mirror| |476 | carousel, carrousel, merry-go-round, roundabout, whirligig| |477 | carpenter's kit, tool kit| |478 | carton| |479 | car wheel| |480 | cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM| |481 | cassette| |482 | cassette player| |483 | castle| |484 | catamaran| |485 | CD player| |486 | cello, violoncello| |487 | cellular telephone, cellular phone, cellphone, cell, mobile phone| |488 | chain| |489 | chainlink fence| |490 | chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour| |491 | chain saw, chainsaw| |492 | chest| |493 | chiffonier, commode| |494 | chime, bell, gong| |495 | china cabinet, china closet| |496 | Christmas stocking| |497 | church, church building| |498 | cinema, movie theater, movie theatre, movie house, picture palace| |499 | cleaver, meat cleaver, chopper| |500 | cliff dwelling| |501 | cloak| |502 | clog, geta, patten, sabot| |503 | cocktail shaker| |504 | coffee mug| |505 | coffeepot| |506 | coil, spiral, volute, whorl, helix| |507 | combination lock| |508 | computer keyboard, keypad| |509 | confectionery, confectionary, candy store| |510 | container ship, containership, container vessel| |511 | convertible| |512 | corkscrew, bottle screw| |513 | cornet, horn, trumpet, trump| |514 | cowboy boot| |515 | cowboy hat, ten-gallon hat| |516 | cradle| |517 | crane_1| |518 | crash helmet| |519 | crate| |520 | crib, cot| |521 | Crock Pot| |522 | croquet ball| |523 | crutch| |524 | cuirass| |525 | dam, dike, dyke| |526 | desk| |527 | desktop computer| |528 | dial telephone, dial phone| |529 | diaper, nappy, napkin| |530 | digital clock| |531 | digital watch| |532 | dining table, board| |533 | dishrag, dishcloth| |534 | dishwasher, dish washer, dishwashing machine| |535 | disk brake, disc brake| |536 | dock, dockage, docking facility| |537 | dogsled, dog sled, dog sleigh| |538 | dome| |539 | doormat, welcome mat| |540 | drilling platform, offshore rig| |541 | drum, membranophone, tympan| |542 | drumstick| |543 | dumbbell| |544 | Dutch oven| |545 | electric fan, blower| |546 | electric guitar| |547 | electric locomotive| |548 | entertainment center| |549 | envelope| |550 | espresso maker| |551 | face powder| |552 | feather boa, boa| |553 | file, file cabinet, filing cabinet| |554 | fireboat| |555 | fire engine, fire truck| |556 | fire screen, fireguard| |557 | flagpole, flagstaff| |558 | flute, transverse flute| |559 | folding chair| |560 | football helmet| |561 | forklift| |562 | fountain| |563 | fountain pen| |564 | four-poster| |565 | freight car| |566 | French horn, horn| |567 | frying pan, frypan, skillet| |568 | fur coat| |569 | garbage truck, dustcart| |570 | gasmask, respirator, gas helmet| |571 | gas pump, gasoline pump, petrol pump, island dispenser| |572 | goblet| |573 | go-kart| |574 | golf ball| |575 | golfcart, golf cart| |576 | gondola| |577 | gong, tam-tam| |578 | gown| |579 | grand piano, grand| |580 | greenhouse, nursery, glasshouse| |581 | grille, radiator grille| |582 | grocery store, grocery, food market, market| |583 | guillotine| |584 | hair slide| |585 | hair spray| |586 | half track| |587 | hammer| |588 | hamper| |589 | hand blower, blow dryer, blow drier, hair dryer, hair drier| |590 | hand-held computer, hand-held microcomputer| |591 | handkerchief, hankie, hanky, hankey| |592 | hard disc, hard disk, fixed disk| |593 | harmonica, mouth organ, harp, mouth harp| |594 | harp| |595 | harvester, reaper| |596 | hatchet| |597 | holster| |598 | home theater, home theatre| |599 | honeycomb| |600 | hook, claw| |601 | hoopskirt, crinoline| |602 | horizontal bar, high bar| |603 | horse cart, horse-cart| |604 | hourglass| |605 | iPod| |606 | iron, smoothing iron| |607 | jack-o'-lantern| |608 | jean, blue jean, denim| |609 | jeep, landrover| |610 | jersey, T-shirt, tee shirt| |611 | jigsaw puzzle| |612 | jinrikisha, ricksha, rickshaw| |613 | joystick| |614 | kimono| |615 | knee pad| |616 | knot| |617 | lab coat, laboratory coat| |618 | ladle| |619 | lampshade, lamp shade| |620 | laptop, laptop computer| |621 | lawn mower, mower| |622 | lens cap, lens cover| |623 | letter opener, paper knife, paperknife| |624 | library| |625 | lifeboat| |626 | lighter, light, igniter, ignitor| |627 | limousine, limo| |628 | liner, ocean liner| |629 | lipstick, lip rouge| |630 | Loafer| |631 | lotion| |632 | loudspeaker, speaker, speaker unit, loudspeaker system, speaker system| |633 | loupe, jeweler's loupe| |634 | lumbermill, sawmill| |635 | magnetic compass| |636 | mailbag, postbag| |637 | mailbox, letter box| |638 | maillot| |639 | maillot, tank suit| |640 | manhole cover| |641 | maraca| |642 | marimba, xylophone| |643 | mask| |644 | matchstick| |645 | maypole| |646 | maze, labyrinth| |647 | measuring cup| |648 | medicine chest, medicine cabinet| |649 | megalith, megalithic structure| |650 | microphone, mike| |651 | microwave, microwave oven| |652 | military uniform| |653 | milk can| |654 | minibus| |655 | miniskirt, mini| |656 | minivan| |657 | missile| |658 | mitten| |659 | mixing bowl| |660 | mobile home, manufactured home| |661 | Model T| |662 | modem| |663 | monastery| |664 | monitor| |665 | moped| |666 | mortar| |667 | mortarboard| |668 | mosque| |669 | mosquito net| |670 | motor scooter, scooter| |671 | mountain bike, all-terrain bike, off-roader| |672 | mountain tent| |673 | mouse, computer mouse| |674 | mousetrap| |675 | moving van| |676 | muzzle| |677 | nail| |678 | neck brace| |679 | necklace| |680 | nipple| |681 | notebook, notebook computer| |682 | obelisk| |683 | oboe, hautboy, hautbois| |684 | ocarina, sweet potato| |685 | odometer, hodometer, mileometer, milometer| |686 | oil filter| |687 | organ, pipe organ| |688 | oscilloscope, scope, cathode-ray oscilloscope, CRO| |689 | overskirt| |690 | oxcart| |691 | oxygen mask| |692 | packet| |693 | paddle, boat paddle| |694 | paddlewheel, paddle wheel| |695 | padlock| |696 | paintbrush| |697 | pajama, pyjama, pj's, jammies| |698 | palace| |699 | panpipe, pandean pipe, syrinx| |700 | paper towel| |701 | parachute, chute| |702 | parallel bars, bars| |703 | park bench| |704 | parking meter| |705 | passenger car, coach, carriage| |706 | patio, terrace| |707 | pay-phone, pay-station| |708 | pedestal, plinth, footstall| |709 | pencil box, pencil case| |710 | pencil sharpener| |711 | perfume, essence| |712 | Petri dish| |713 | photocopier| |714 | pick, plectrum, plectron| |715 | pickelhaube| |716 | picket fence, paling| |717 | pickup, pickup truck| |718 | pier| |719 | piggy bank, penny bank| |720 | pill bottle| |721 | pillow| |722 | ping-pong ball| |723 | pinwheel| |724 | pirate, pirate ship| |725 | pitcher, ewer| |726 | plane, carpenter's plane, woodworking plane| |727 | planetarium| |728 | plastic bag| |729 | plate rack| |730 | plow, plough| |731 | plunger, plumber's helper| |732 | Polaroid camera, Polaroid Land camera| |733 | pole| |734 | police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria| |735 | poncho| |736 | pool table, billiard table, snooker table| |737 | pop bottle, soda bottle| |738 | pot, flowerpot| |739 | potter's wheel| |740 | power drill| |741 | prayer rug, prayer mat| |742 | printer| |743 | prison, prison house| |744 | projectile, missile| |745 | projector| |746 | puck, hockey puck| |747 | punching bag, punch bag, punching ball, punchball| |748 | purse| |749 | quill, quill pen| |750 | quilt, comforter, comfort, puff| |751 | racer, race car, racing car| |752 | racket, racquet| |753 | radiator| |754 | radio, wireless| |755 | radio telescope, radio reflector| |756 | rain barrel| |757 | recreational vehicle, RV, R.V.| |758 | reel| |759 | reflex camera| |760 | refrigerator, icebox| |761 | remote control, remote| |762 | restaurant, eating house, eating place, eatery| |763 | revolver, six-gun, six-shooter| |764 | rifle| |765 | rocking chair, rocker| |766 | rotisserie| |767 | rubber eraser, rubber, pencil eraser| |768 | rugby ball| |769 | rule, ruler| |770 | running shoe| |771 | safe| |772 | safety pin| |773 | saltshaker, salt shaker| |774 | sandal| |775 | sarong| |776 | sax, saxophone| |777 | scabbard| |778 | scale, weighing machine| |779 | school bus| |780 | schooner| |781 | scoreboard| |782 | screen, CRT screen| |783 | screw| |784 | screwdriver| |785 | seat belt, seatbelt| |786 | sewing machine| |787 | shield, buckler| |788 | shoe shop, shoe-shop, shoe store| |789 | shoji| |790 | shopping basket| |791 | shopping cart| |792 | shovel| |793 | shower cap| |794 | shower curtain| |795 | ski| |796 | ski mask| |797 | sleeping bag| |798 | slide rule, slipstick| |799 | sliding door| |800 | slot, one-armed bandit| |801 | snorkel| |802 | snowmobile| |803 | snowplow, snowplough| |804 | soap dispenser| |805 | soccer ball| |806 | sock| |807 | solar dish, solar collector, solar furnace| |808 | sombrero| |809 | soup bowl| |810 | space bar| |811 | space heater| |812 | space shuttle| |813 | spatula| |814 | speedboat| |815 | spider web, spider's web| |816 | spindle| |817 | sports car, sport car| |818 | spotlight, spot| |819 | stage| |820 | steam locomotive| |821 | steel arch bridge| |822 | steel drum| |823 | stethoscope| |824 | stole| |825 | stone wall| |826 | stopwatch, stop watch| |827 | stove| |828 | strainer| |829 | streetcar, tram, tramcar, trolley, trolley car| |830 | stretcher| |831 | studio couch, day bed| |832 | stupa, tope| |833 | submarine, pigboat, sub, U-boat| |834 | suit, suit of clothes| |835 | sundial| |836 | sunglass| |837 | sunglasses, dark glasses, shades| |838 | sunscreen, sunblock, sun blocker| |839 | suspension bridge| |840 | swab, swob, mop| |841 | sweatshirt| |842 | swimming trunks, bathing trunks| |843 | swing| |844 | switch, electric switch, electrical switch| |845 | syringe| |846 | table lamp| |847 | tank, army tank, armored combat vehicle, armoured combat vehicle| |848 | tape player| |849 | teapot| |850 | teddy, teddy bear| |851 | television, television system| |852 | tennis ball| |853 | thatch, thatched roof| |854 | theater curtain, theatre curtain| |855 | thimble| |856 | thresher, thrasher, threshing machine| |857 | throne| |858 | tile roof| |859 | toaster| |860 | tobacco shop, tobacconist shop, tobacconist| |861 | toilet seat| |862 | torch| |863 | totem pole| |864 | tow truck, tow car, wrecker| |865 | toyshop| |866 | tractor| |867 | trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi| |868 | tray| |869 | trench coat| |870 | tricycle, trike, velocipede| |871 | trimaran| |872 | tripod| |873 | triumphal arch| |874 | trolleybus, trolley coach, trackless trolley| |875 | trombone| |876 | tub, vat| |877 | turnstile| |878 | typewriter keyboard| |879 | umbrella| |880 | unicycle, monocycle| |881 | upright, upright piano| |882 | vacuum, vacuum cleaner| |883 | vase| |884 | vault| |885 | velvet| |886 | vending machine| |887 | vestment| |888 | viaduct| |889 | violin, fiddle| |890 | volleyball| |891 | waffle iron| |892 | wall clock| |893 | wallet, billfold, notecase, pocketbook| |894 | wardrobe, closet, press| |895 | warplane, military plane| |896 | washbasin, handbasin, washbowl, lavabo, wash-hand basin| |897 | washer, automatic washer, washing machine| |898 | water bottle| |899 | water jug| |900 | water tower| |901 | whiskey jug| |902 | whistle| |903 | wig| |904 | window screen| |905 | window shade| |906 | Windsor tie| |907 | wine bottle| |908 | wing| |909 | wok| |910 | wooden spoon| |911 | wool, woolen, woollen| |912 | worm fence, snake fence, snake-rail fence, Virginia fence| |913 | wreck| |914 | yawl| |915 | yurt| |916 | web site, website, internet site, site| |917 | comic book| |918 | crossword puzzle, crossword| |919 | street sign| |920 | traffic light, traffic signal, stoplight| |921 | book jacket, dust cover, dust jacket, dust wrapper| |922 | menu| |923 | plate| |924 | guacamole| |925 | consomme| |926 | hot pot, hotpot| |927 | trifle| |928 | ice cream, icecream| |929 | ice lolly, lolly, lollipop, popsicle| |930 | French loaf| |931 | bagel, beigel| |932 | pretzel| |933 | cheeseburger| |934 | hotdog, hot dog, red hot| |935 | mashed potato| |936 | head cabbage| |937 | broccoli| |938 | cauliflower| |939 | zucchini, courgette| |940 | spaghetti squash| |941 | acorn squash| |942 | butternut squash| |943 | cucumber, cuke| |944 | artichoke, globe artichoke| |945 | bell pepper| |946 | cardoon| |947 | mushroom| |948 | Granny Smith| |949 | strawberry| |950 | orange| |951 | lemon| |952 | fig| |953 | pineapple, ananas| |954 | banana| |955 | jackfruit, jak, jack| |956 | custard apple| |957 | pomegranate| |958 | hay| |959 | carbonara| |960 | chocolate sauce, chocolate syrup| |961 | dough| |962 | meat loaf, meatloaf| |963 | pizza, pizza pie| |964 | potpie| |965 | burrito| |966 | red wine| |967 | espresso| |968 | cup| |969 | eggnog| |970 | alp| |971 | bubble| |972 | cliff, drop, drop-off| |973 | coral reef| |974 | geyser| |975 | lakeside, lakeshore| |976 | promontory, headland, head, foreland| |977 | sandbar, sand bar| |978 | seashore, coast, seacoast, sea-coast| |979 | valley, vale| |980 | volcano| |981 | ballplayer, baseball player| |982 | groom, bridegroom| |983 | scuba diver| |984 | rapeseed| |985 | daisy| |986 | yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum| |987 | corn| |988 | acorn| |989 | hip, rose hip, rosehip| |990 | buckeye, horse chestnut, conker| |991 | coral fungus| |992 | agaric| |993 | gyromitra| |994 | stinkhorn, carrion fungus| |995 | earthstar| |996 | hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa| |997 | bolete| |998 | ear, spike, capitulum| |999 | toilet tissue, toilet paper, bathroom tissue| </details> ### Data Splits This dataset is a validation-only set. ## Dataset Creation ### Source Data This dataset is sourced from ImageNet, ImageNet-ReaL, ImageNet-V2, ImageNet-A, ImageNet-C, ImageNet-R, ImageNet-Sketch, and ObjectNet. ## Citation Information ``` @article{taesiri2023zoom, title={ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification}, author={Taesiri, Mohammad Reza and Nguyen, Giang and Habchi, Sarra and Bezemer, Cor-Paul and Nguyen, Anh}, journal={arXiv preprint arXiv:2304.05538}, year={2023} } ```

philikai/spider_SQL_PALM_Prompt

--- license: cc-by-sa-4.0 --- Dataset for creating prompts for fine-tuning on Spider Dataset with Foreign and Primary Key Information as well as Schema information.

veroinesc/test1

--- license: unknown ---

isaiahbjork/alpaca-function-calling-json

--- license: mit ---

silviaarellano/heightmaps

--- license: mit task_categories: - image-to-image tags: - maps - heightmaps ---

rastogi/FNS

--- language: - en ---

Chris126/guanaco-llama2-1k

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 0 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "guanaco-llama2-1k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

thangvip/luat-2020-2023

--- dataset_info: features: - name: content dtype: string - name: citation dtype: string - name: meta struct: - name: effective_date dtype: string - name: issuing_agency dtype: string - name: promulgation_date dtype: string - name: sign_number dtype: string - name: signer dtype: string - name: type dtype: string - name: url dtype: string - name: text dtype: string splits: - name: luat num_bytes: 7414708.290523045 num_examples: 2698 download_size: 3681024 dataset_size: 7414708.290523045 configs: - config_name: default data_files: - split: luat path: data/luat-* ---

infinilabs/app-downloading-logs-nginx-dataset

--- license: apache-2.0 --- # Summary This dataset can be freely used for AI research. ``` root@infini:/# cat infini-release.log |wc -l 1550474 root@infini:/# head -n 10 infini-release.log 175.10.73.78 - - [16/Mar/2022:15:36:35 +0800] "GET / HTTP/1.1" 200 331 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:36 +0800] "GET / HTTP/1.1" 200 331 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:36 +0800] "GET / HTTP/1.1" 200 331 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:37 +0800] "GET /gateway/ HTTP/1.1" 200 331 "http://release.infinilabs.com/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:37 +0800] "GET /gateway/stable/ HTTP/1.1" 200 319 "http://release.infinilabs.com/gateway/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:38 +0800] "GET /gateway/stable/archive/ HTTP/1.1" 200 345 "http://release.infinilabs.com/gateway/stable/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:39 +0800] "GET /gateway/stable/ HTTP/1.1" 200 319 "http://release.infinilabs.com/gateway/stable/archive/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:39 +0800] "GET /gateway/ HTTP/1.1" 200 331 "http://release.infinilabs.com/gateway/stable/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:40 +0800] "GET /gateway/snapshot/ HTTP/1.1" 200 567 "http://release.infinilabs.com/gateway/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" 175.10.73.78 - - [16/Mar/2022:15:36:41 +0800] "GET /gateway/ HTTP/1.1" 200 331 "http://release.infinilabs.com/gateway/snapshot/" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36" ``` # License The dataset is licensed under the Apache 2.0 license agreement. # Contact - [http://infinilabs.com](http://infinilabs.com) - hello#infini.ltd

jinho8345/funsd-bioes

--- dataset_info: features: - name: img dtype: image - name: labels sequence: string - name: words sequence: string - name: bboxes sequence: sequence: int64 - name: filename dtype: string splits: - name: train num_bytes: 13281297.0 num_examples: 149 - name: val num_bytes: 4777640.0 num_examples: 50 download_size: 16636452 dataset_size: 18058937.0 --- # Dataset Card for "funsd-bies" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Team-PIXEL/PIXELSum_uk_wiki_for_TA

--- license: apache-2.0 dataset_info: features: - name: text struct: - name: bytes dtype: binary - name: path dtype: 'null' - name: target dtype: string - name: num_text_patches dtype: int64 splits: - name: train num_bytes: 40401004873 num_examples: 3968117 download_size: 38963135270 dataset_size: 40401004873 configs: - config_name: default data_files: - split: train path: data/train-* ---

Norod78/cartoon-blip-captions

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 190959102.953 num_examples: 3141 download_size: 190279356 dataset_size: 190959102.953 pretty_name: 'Cartoon BLIP captions' size_categories: - n<1K tags: [] task_categories: - text-to-image license: cc-by-nc-sa-4.0 annotations_creators: - machine-generated language: - en language_creators: - other multilinguality: - monolingual --- # Dataset Card for "cartoon-blip-captions"

torchgeo/l7irish

--- task_categories: - image-segmentation tags: - climate pretty_name: L7 Irish size_categories: - n<1K license: cc0-1.0 --- Redistribution of data from https://www.sciencebase.gov/catalog/item/573ccf18e4b0dae0d5e4b109. Some files renamed for consistency. Corrupted or missing files replaced with data from https://landsat.usgs.gov/landsat-7-cloud-cover-assessment-validation-data. Landsat Data Distribution Policy: https://www.usgs.gov/media/files/landsat-data-distribution-policy

japanese-asr/whisper_transcriptions.reazonspeech.large.wer_10.0.vectorized

--- dataset_info: config_name: large features: - name: input_length dtype: int64 - name: labels sequence: int64 - name: input_features sequence: sequence: float32 splits: - name: train num_bytes: 1602595794864 num_examples: 1042883 download_size: 296247756094 dataset_size: 1602595794864 configs: - config_name: large data_files: - split: train path: large/train-* ---

Dmenorsz/mckevin

--- license: openrail ---

chloeliu/reddit_nosleep_posts

--- license: unknown ---

jungledude23/llama-subtitle-mini

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 980853 num_examples: 447 download_size: 184428 dataset_size: 980853 configs: - config_name: default data_files: - split: train path: data/train-* ---

sayakpaul/ucf101-subset

--- license: apache-2.0 --- This dataset repository contains a subset of the UCF-101 dataset [1]. The subset archive was obtained using the code from [this guide](https://www.tensorflow.org/tutorials/load_data/video). ### References [1] UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild, https://arxiv.org/abs/1212.0402.

abhishek-mungoli/srk_wittiness

--- license: cc --- # Shah Rukh Khan Wittiness Reply DataSet Shah Rukh Khan is known for his wit, humor, and charm. I have carefully crafted some questions and imagined how SRK would have replied to them using Chat-GPT. You can use this data to train a smaller open-source language model or for any other use case you have in mind.

BatsResearch/sib200-LexC-Gen

--- language: - tum - ee - ln - fj - ts - bm - sg - ak - lus - gn multilinguality: - multilingual size_categories: - 10K<n<100K task_categories: - text-classification task_ids: - topic-classification tags: - news-topic - sib-200 - sib200 - synthetic dataset_info: - config_name: ak_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3587478 num_examples: 22062 - name: validation num_bytes: 14755 num_examples: 99 download_size: 2185047 dataset_size: 3602233 - config_name: ak_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 370304 num_examples: 2271 - name: validation num_bytes: 14755 num_examples: 99 download_size: 239976 dataset_size: 385059 - config_name: ak_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 36361 num_examples: 229 - name: validation num_bytes: 14755 num_examples: 99 download_size: 37326 dataset_size: 51116 - config_name: bm_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3796341 num_examples: 19972 - name: validation num_bytes: 15791 num_examples: 99 download_size: 2248093 dataset_size: 3812132 - config_name: bm_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 385755 num_examples: 2257 - name: validation num_bytes: 15791 num_examples: 99 download_size: 245275 dataset_size: 401546 - config_name: bm_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 39450 num_examples: 201 - name: validation num_bytes: 15791 num_examples: 99 download_size: 39023 dataset_size: 55241 - config_name: ee_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3845466 num_examples: 22352 - name: validation num_bytes: 15477 num_examples: 99 download_size: 2312846 dataset_size: 3860943 - config_name: ee_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 385266 num_examples: 2230 - name: validation num_bytes: 15477 num_examples: 99 download_size: 245696 dataset_size: 400743 - config_name: ee_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 43044 num_examples: 252 - name: validation num_bytes: 15477 num_examples: 99 download_size: 41559 dataset_size: 58521 - config_name: fj_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3720751 num_examples: 22343 - name: validation num_bytes: 15135 num_examples: 99 download_size: 2211095 dataset_size: 3735886 - config_name: fj_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 367761 num_examples: 2224 - name: validation num_bytes: 15135 num_examples: 99 download_size: 231436 dataset_size: 382896 - config_name: fj_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 37902 num_examples: 228 - name: validation num_bytes: 15135 num_examples: 99 download_size: 38113 dataset_size: 53037 - config_name: gn_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 4493339 num_examples: 22231 - name: validation num_bytes: 17407 num_examples: 99 download_size: 2430340 dataset_size: 4510746 - config_name: gn_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 453561 num_examples: 2229 - name: validation num_bytes: 17407 num_examples: 99 download_size: 258889 dataset_size: 470968 - config_name: gn_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 45320 num_examples: 217 - name: validation num_bytes: 17407 num_examples: 99 download_size: 40876 dataset_size: 62727 - config_name: ln_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3925088 num_examples: 22445 - name: validation num_bytes: 15683 num_examples: 99 download_size: 2255900 dataset_size: 3940771 - config_name: ln_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 393944 num_examples: 2231 - name: validation num_bytes: 15683 num_examples: 99 download_size: 240507 dataset_size: 409627 - config_name: ln_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 38076 num_examples: 223 - name: validation num_bytes: 15683 num_examples: 99 download_size: 37096 dataset_size: 53759 - config_name: lus_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3807289 num_examples: 22331 - name: validation num_bytes: 15417 num_examples: 99 download_size: 2266155 dataset_size: 3822706 - config_name: lus_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 386103 num_examples: 2266 - name: validation num_bytes: 15417 num_examples: 99 download_size: 244118 dataset_size: 401520 - config_name: lus_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 37926 num_examples: 218 - name: validation num_bytes: 15417 num_examples: 99 download_size: 37815 dataset_size: 53343 - config_name: sg_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3843121 num_examples: 21752 - name: validation num_bytes: 15569 num_examples: 99 download_size: 2211613 dataset_size: 3858690 - config_name: sg_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 387784 num_examples: 2203 - name: validation num_bytes: 15569 num_examples: 99 download_size: 237669 dataset_size: 403353 - config_name: sg_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 37561 num_examples: 212 - name: validation num_bytes: 15569 num_examples: 99 download_size: 37004 dataset_size: 53130 - config_name: ts_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 3661185 num_examples: 20069 - name: validation num_bytes: 15126 num_examples: 99 download_size: 2290947 dataset_size: 3676311 - config_name: ts_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 377366 num_examples: 2079 - name: validation num_bytes: 15126 num_examples: 99 download_size: 251583 dataset_size: 392492 - config_name: ts_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 35059 num_examples: 188 - name: validation num_bytes: 15126 num_examples: 99 download_size: 37964 dataset_size: 50185 - config_name: tum_100k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 4117789 num_examples: 21667 - name: validation num_bytes: 15922 num_examples: 99 download_size: 2480890 dataset_size: 4133711 - config_name: tum_10k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 415921 num_examples: 2344 - name: validation num_bytes: 15922 num_examples: 99 download_size: 262403 dataset_size: 431843 - config_name: tum_1k features: - name: id dtype: int64 - name: text dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 39665 num_examples: 209 - name: validation num_bytes: 15922 num_examples: 99 download_size: 39937 dataset_size: 55587 configs: - config_name: ak_100k data_files: - split: train path: ak_100k/train-* - split: validation path: ak_100k/validation-* - config_name: ak_10k data_files: - split: train path: ak_10k/train-* - split: validation path: ak_10k/validation-* - config_name: ak_1k data_files: - split: train path: ak_1k/train-* - split: validation path: ak_1k/validation-* - config_name: bm_100k data_files: - split: train path: bm_100k/train-* - split: validation path: bm_100k/validation-* - config_name: bm_10k data_files: - split: train path: bm_10k/train-* - split: validation path: bm_10k/validation-* - config_name: bm_1k data_files: - split: train path: bm_1k/train-* - split: validation path: bm_1k/validation-* - config_name: ee_100k data_files: - split: train path: ee_100k/train-* - split: validation path: ee_100k/validation-* - config_name: ee_10k data_files: - split: train path: ee_10k/train-* - split: validation path: ee_10k/validation-* - config_name: ee_1k data_files: - split: train path: ee_1k/train-* - split: validation path: ee_1k/validation-* - config_name: fj_100k data_files: - split: train path: fj_100k/train-* - split: validation path: fj_100k/validation-* - config_name: fj_10k data_files: - split: train path: fj_10k/train-* - split: validation path: fj_10k/validation-* - config_name: fj_1k data_files: - split: train path: fj_1k/train-* - split: validation path: fj_1k/validation-* - config_name: gn_100k data_files: - split: train path: gn_100k/train-* - split: validation path: gn_100k/validation-* - config_name: gn_10k data_files: - split: train path: gn_10k/train-* - split: validation path: gn_10k/validation-* - config_name: gn_1k data_files: - split: train path: gn_1k/train-* - split: validation path: gn_1k/validation-* - config_name: ln_100k data_files: - split: train path: ln_100k/train-* - split: validation path: ln_100k/validation-* - config_name: ln_10k data_files: - split: train path: ln_10k/train-* - split: validation path: ln_10k/validation-* - config_name: ln_1k data_files: - split: train path: ln_1k/train-* - split: validation path: ln_1k/validation-* - config_name: lus_100k data_files: - split: train path: lus_100k/train-* - split: validation path: lus_100k/validation-* - config_name: lus_10k data_files: - split: train path: lus_10k/train-* - split: validation path: lus_10k/validation-* - config_name: lus_1k data_files: - split: train path: lus_1k/train-* - split: validation path: lus_1k/validation-* - config_name: sg_100k data_files: - split: train path: sg_100k/train-* - split: validation path: sg_100k/validation-* - config_name: sg_10k data_files: - split: train path: sg_10k/train-* - split: validation path: sg_10k/validation-* - config_name: sg_1k data_files: - split: train path: sg_1k/train-* - split: validation path: sg_1k/validation-* - config_name: ts_100k data_files: - split: train path: ts_100k/train-* - split: validation path: ts_100k/validation-* - config_name: ts_10k data_files: - split: train path: ts_10k/train-* - split: validation path: ts_10k/validation-* - config_name: ts_1k data_files: - split: train path: ts_1k/train-* - split: validation path: ts_1k/validation-* - config_name: tum_100k data_files: - split: train path: tum_100k/train-* - split: validation path: tum_100k/validation-* - config_name: tum_10k data_files: - split: train path: tum_10k/train-* - split: validation path: tum_10k/validation-* - config_name: tum_1k data_files: - split: train path: tum_1k/train-* - split: validation path: tum_1k/validation-* pretty_name: LexC-Gen generated data for SIB-200 --- # Dataset Card for sib200-LexC-Gen ## 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) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [Project Page](https://batsresearch.github.io/lexcgen/) - **Repository:** [Github Repo](https://github.com/BatsResearch/LexC-Gen) - **Paper:** [Arxiv](https://arxiv.org/abs/2402.14086) - **Point of Contact:** [Zheng-Xin Yong](mailto:contact.yong@brown.edu) ### Dataset Summary The LexC-Gen dataset for [SIB-200 topic classification](https://huggingface.co/datasets/Davlan/sib200) task is a dataset generated for low-resource languages at scale with Large Language Models ([BLOOMZ-7.1B](https://arxiv.org/abs/2211.01786)) and [Gatitos bilingual lexicons](https://aclanthology.org/2023.emnlp-main.26/). ```python3 from datasets import load_dataset dataset = load_dataset("BatsResearch/sib200-LexC-Gen", "gn_100k") ``` ### Supported Tasks and Leaderboards - `text-classification`, `topic-classification`: The dataset can be used to train a model for topic classification. The model performance is evaluated based on the accuracy of the predicted labels as compared to the given labels in the dataset. ### Languages The text cover 10 extremely low-resource languages: - Tumbuka (`tum`) - Ewe (`ee`) - Lingala (`ln`) - Fijian (`fj`) - Tsonga (`ts`) - Bambara (`bm`) - Sango (`sg`) - Twi (`ak`) - Mizo (`lus`) - Guarani (`gn`) ## Dataset Structure ### Data Instances Each data instance contains the following features: _id_, _text_ and _label_. The _label_ has 7 possible values (0 to 6), which respectively correspond to ``` ["science/technology", "travel", "politics", "sports", "health", "entertainment", "geography"] ``` An example from the LexC-Gen train set looks like the following: ``` {'id': '1', 'text': 'Mr. Smith ( ha'e narrator ) says péva peteĩva yvypóra jepy'amongeta péva taking drugs ikatu japo hikuái "" ñandu iporã "" . He ends rupi saying péva drugs oĩ iñangave'ỹva , ha opaite arapygua va'erã ha'ã g̃uarã-hag̃ua jehekýi using hikuái .' 'label': 4} ``` ### Data Fields - 'id': unique id - 'text': generated text from LLMs - 'label': an integer. ### Data Splits The LexC-Gen dataset requires config name in the format of `{lang}_{size}`. The `lang` refers to the language code, and the `size` refers to the size of LexC-Gen dataset before input-label consistency filtering, which takes values of `1k`, `10k`, or `100k`. The LexC-Gen dataset has 2 splits: _train_, _validation_. The _train_ split refers to the generated LexC-Gen task training data. The _validation_ split refers to the SIB-200 validation data that has been word translated. ## Dataset Creation ### Curation Rationale Extremely low-resource languages have virtually no labeled data. We explore generating data at scale for these languages using high-resource-language task data, LLMs, and bilingual lexicons to overcome the data bottleneck. We upload the dataset to Huggingface as an artifact of our research and to ensure reproducibility of our results in our paper. ## Considerations for Using the Data Our dataset is a synthetic dataset generated in English by LLMs and then translated into low-resource languages through word-to-word translation with bilingual lexicons. It may contain English words due to imperfect translation, and it uses English syntax such as SVO word order, which is not necessarily representative of the syntax of the low-resource languages. ## Additional Information ### Dataset Curators The LexC-Gen synthetic dataset is created by Zheng-Xin Yong. ### Licensing Information Our dataset is generated from BLOOMZ models, which uses the [BigScience RAIL License v1.0](https://huggingface.co/spaces/bigscience/license). Therefore, the RAIL license would apply to classifiers that are finetuned on our LexC-Gen dataset. ### Citation Information ``` @misc{yong2024lexcgen, title={LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons}, author={Zheng-Xin Yong and Cristina Menghini and Stephen H. Bach}, year={2024}, eprint={2402.14086}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```

result-kand2-sdxl-wuerst-karlo/9e7f6f37

--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 152 num_examples: 10 download_size: 1303 dataset_size: 152 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "9e7f6f37" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ikorbiak/my_first_dataset

--- license: apache-2.0 ---

davanstrien/ia-loaded-embedded-gpu

--- dataset_info: features: - name: crawl_date dtype: int64 - name: last_modified_date dtype: float64 - name: url dtype: string - name: filename dtype: string - name: extension dtype: string - name: mime_type_web_server dtype: string - name: mime_type_tika dtype: string - name: width dtype: int64 - name: height dtype: int64 - name: md5 dtype: string - name: sha1 dtype: string - name: image dtype: image - name: embedding sequence: float32 splits: - name: train num_bytes: 1542994483.25 num_examples: 4582 download_size: 1515373521 dataset_size: 1542994483.25 --- # Dataset Card for "ia-loaded-embedded-gpu" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

bunkalab/topic_based_chatml_dpo_pairs

--- license: apache-2.0 language: - en --- # DPO Pairs This is a preprocessed version of [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs) using [Bunkatopics](https://github.com/charlesdedampierre/BunkaTopics) to extract meaningful Topics that help models converge with less data. The objective was to create a smaller dataset than the original but buy keeping its efficiecency.To achieve this, we compared the two datasets used to train the reward model in [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs): the rejected Llama answers and the accepted ChatGPT answers from the DPO dataset. We then conducted topic modeling on both datasets, keeping only the topics that existed in the accepted dataset but not in the rejected one. Our hypothesis is that these topics encapsulate the main differences between the two answering styles. This method allows for quicker convergence with significantly less data (around 1/6 of the initial dataset). See the page of the model test [here](https://huggingface.co/charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B) # Topic Analysis We applied the topic modeling method to both datasets, extracting 30 topics from each. These topics were characterized using the 10 most specific unigrams or bigrams. We then compared the two sets of topics (30 from each dataset) and retained those in the accepted dataset that shared fewer than 2 terms with any topic in the rejected dataset We found the 13 distincitve following topics described by 10 terms each: **Emotional Dynamics**: feelings, Quinn, Austin, minority women, teaching, schools, individual, personality, backgrounds, triggers. **Global Knowledge Queries**: question, information, geography, news articles, Step, answer, capital city, pipeline system, country, analogy. **Digital Interactions and Queries**: questions, question, PersonX, modem, answers, effect relationship, Quora, browser, answer, e-commerce. **Business and Cybersecurity**: email, businesses, initiatives, innovation, advertising papers, spam, breaches, antivirus, payments, prospects. **Lifestyle and Wellness**: sleep, exercise, gifts, shopping, Casey, stores, stress, headaches, options, mood. **Wildlife Ecology**: birds, prey, animals, species, infection, nest, eggs, bacteria, insects, kitty condo. **Environmental Science and Climate**: temperature, gases, greenhouse, emissions, perturbation, sulfur, dioxide, climate change, water, heat. **Maritime and Mechanical Engineering**: ship, bowling, propulsion, beam width, Filing cabinet, LED, lane, containment area, lawnmower, rotors. **Cultural and Social Dynamics**: Lindsey, museum, Kate, Rachel, Jason, Alex, Erin, conversation, Laura, exhibits. **Political Media Analysis**: media platforms, election, politics, teenagers, elections, White House, Barack Obama, nation, Confederate, depression. **International Relations and Policy**: cooperation, EU, nations, alliance, NATO, European Union, member states, policy, monarch, Brexit. **Astrophysics and Physical Sciences**: electrons, km, Moon, acceleration, orbit, friction, current, asteroid, electron, collector emitter. **Film Critique and Analysis**: movie review, film, reviewer, sentiment, critic, flaws, DVD, plot, opinion, originality. While those topics are not domain-specific, they did not appear right away in the rejected dataset. Further research need to undersand the reason behind the prominence of those topics in the accepted dataset. # Load Dataset ```python dataset = load_dataset("bunkalab/topic_based_chatml_dpo_pairs")['train'] ```

shreyasharma/ret_sentence_eval

--- dataset_info: features: - name: sentences dtype: string - name: label dtype: int64 - name: docs dtype: string splits: - name: test num_bytes: 1973426 num_examples: 6104 - name: train num_bytes: 3753896 num_examples: 11528 - name: val num_bytes: 528670 num_examples: 1632 download_size: 2499468 dataset_size: 6255992 --- # Dataset Card for "ret_sentence_eval" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

fxmeng/mmlu_one_line

--- configs: - config_name: default data_files: - split: dev path: data/dev-* - split: val path: data/val-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: dev num_bytes: 119303 num_examples: 285 - name: val num_bytes: 730743 num_examples: 1531 - name: test num_bytes: 6667440 num_examples: 14042 download_size: 3474542 dataset_size: 7517486 --- # Dataset Card for "mmlu_one_line" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

mindcraft-nl/github-issues

--- dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: labels list: - name: id dtype: int64 - name: node_id dtype: string - name: url dtype: string - name: name dtype: string - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: assignees list: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: milestone struct: - name: url dtype: string - name: html_url dtype: string - name: labels_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: description dtype: string - name: creator struct: - name: login dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: avatar_url dtype: string - name: gravatar_id dtype: string - name: url dtype: string - name: html_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: organizations_url dtype: string - name: repos_url dtype: string - name: events_url dtype: string - name: received_events_url dtype: string - name: type dtype: string - name: site_admin dtype: bool - name: open_issues dtype: int64 - name: closed_issues dtype: int64 - name: state dtype: string - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: due_on dtype: 'null' - name: closed_at dtype: 'null' - name: comments sequence: string - name: created_at dtype: timestamp[s] - name: updated_at dtype: timestamp[s] - name: closed_at dtype: timestamp[s] - name: author_association dtype: string - name: active_lock_reason dtype: 'null' - name: body dtype: string - name: reactions struct: - name: url dtype: string - name: total_count dtype: int64 - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: laugh dtype: int64 - name: hooray dtype: int64 - name: confused dtype: int64 - name: heart dtype: int64 - name: rocket dtype: int64 - name: eyes dtype: int64 - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: draft dtype: bool - name: pull_request struct: - name: url dtype: string - name: html_url dtype: string - name: diff_url dtype: string - name: patch_url dtype: string - name: merged_at dtype: timestamp[s] - name: is_pull_request dtype: bool splits: - name: train num_bytes: 16600004 num_examples: 3000 download_size: 4692861 dataset_size: 16600004 --- # Dataset Card for "github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/makigumo_kantaicollection

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of makigumo/巻雲 (Kantai Collection) This is the dataset of makigumo/巻雲 (Kantai Collection), containing 500 images and their tags. The core tags of this character are `pink_hair, glasses, ahoge, twintails, long_hair, yellow_eyes, hair_bun, double_bun`, 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 | 540.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 318.86 MiB | [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1134 | 655.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 483.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1134 | 903.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/makigumo_kantaicollection/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/makigumo_kantaicollection', 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 | 31 | ![](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, school_uniform, solo, sleeves_past_fingers, skirt, pantyhose, looking_at_viewer, open_mouth, long_sleeves, boots, blush, smile | | 1 | 17 | ![](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, long_sleeves, sleeves_past_fingers, solo, white_shirt, bowtie, halterneck, school_uniform, dress, grey_pantyhose, looking_at_viewer, simple_background, white_background, full_body, lace-up_boots, open_mouth, smile, cowboy_shot, standing | | 2 | 14 | ![](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, blazer, long_sleeves, solo, grey_thighhighs, school_uniform, looking_at_viewer, halterneck, smile, purple_dress, blue-framed_eyewear, cowboy_shot, crown_braid, open_mouth, aqua_bowtie | | 3 | 6 | ![](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, alternate_costume, blue_buruma, full_body, gym_shirt, gym_uniform, looking_at_viewer, short_sleeves, simple_background, solo, uwabaki, white_background, white_shirt, white_socks, from_behind, kneehighs, t-shirt, ass, looking_back, standing | | 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, alternate_costume, blue-framed_eyewear, blue_buruma, cowboy_shot, gym_uniform, looking_at_viewer, short_sleeves, simple_background, solo, t-shirt, white_shirt, standing, white_background, gym_shirt, open_mouth, smile | | 5 | 7 | ![](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, casual_one-piece_swimsuit, looking_at_viewer, simple_background, solo, tied_shirt, white_shirt, floral_print, full_body, grey_background, sandals, standing, swimsuit_under_clothes, t-shirt, white_background, barefoot | | 6 | 6 | ![](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, casual_one-piece_swimsuit, looking_at_viewer, solo, tied_shirt, white_shirt, beachball, cowboy_shot, open_mouth, smile, simple_background, t-shirt, white_background | | 7 | 19 | ![](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, competition_school_swimsuit, looking_at_viewer, alternate_costume, solo, blue_one-piece_swimsuit, simple_background, smile, white_background, open_mouth, cowboy_shot, sidelocks, blue-framed_eyewear, flat_chest | | 8 | 11 | ![](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) | side-tie_bikini_bottom, 1girl, looking_at_viewer, solo, frilled_bikini, hair_flower, navel, floral_print, mismatched_bikini, open_mouth, cowboy_shot, blue-framed_eyewear, crown_braid, open_shirt, purple_bikini, sandals, simple_background, white_background | | 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, alternate_costume, bowtie, detached_collar, fake_animal_ears, full_body, looking_at_viewer, playboy_bunny, rabbit_ears, simple_background, solo, strapless_leotard, wrist_cuffs, high_heels, open_mouth, rabbit_tail, white_background, breasts, grey_pantyhose, red_leotard, black_footwear, black_leotard, black_pantyhose, kneeling, smile | | 10 | 8 | ![](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) | 1girl, enmaided, maid_bikini, maid_headdress, small_breasts, waist_apron, looking_at_viewer, solo, white_thighhighs, black_bikini, simple_background, wrist_cuffs, bowtie, detached_collar, black_footwear, mary_janes, bangs, blue-framed_eyewear, blush, frills, full_body, white_apron, white_background | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | school_uniform | solo | sleeves_past_fingers | skirt | pantyhose | looking_at_viewer | open_mouth | long_sleeves | boots | blush | smile | white_shirt | bowtie | halterneck | dress | grey_pantyhose | simple_background | white_background | full_body | lace-up_boots | cowboy_shot | standing | blazer | grey_thighhighs | purple_dress | blue-framed_eyewear | crown_braid | aqua_bowtie | alternate_costume | blue_buruma | gym_shirt | gym_uniform | short_sleeves | uwabaki | white_socks | from_behind | kneehighs | t-shirt | ass | looking_back | casual_one-piece_swimsuit | tied_shirt | floral_print | grey_background | sandals | swimsuit_under_clothes | barefoot | beachball | competition_school_swimsuit | blue_one-piece_swimsuit | sidelocks | flat_chest | side-tie_bikini_bottom | frilled_bikini | hair_flower | navel | mismatched_bikini | open_shirt | purple_bikini | detached_collar | fake_animal_ears | playboy_bunny | rabbit_ears | strapless_leotard | wrist_cuffs | high_heels | rabbit_tail | breasts | red_leotard | black_footwear | black_leotard | black_pantyhose | kneeling | enmaided | maid_bikini | maid_headdress | small_breasts | waist_apron | white_thighhighs | black_bikini | mary_janes | bangs | frills | white_apron | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------------|:-------|:-----------------------|:--------|:------------|:--------------------|:-------------|:---------------|:--------|:--------|:--------|:--------------|:---------|:-------------|:--------|:-----------------|:--------------------|:-------------------|:------------|:----------------|:--------------|:-----------|:---------|:------------------|:---------------|:----------------------|:--------------|:--------------|:--------------------|:--------------|:------------|:--------------|:----------------|:----------|:--------------|:--------------|:------------|:----------|:------|:---------------|:----------------------------|:-------------|:---------------|:------------------|:----------|:-------------------------|:-----------|:------------|:------------------------------|:--------------------------|:------------|:-------------|:-------------------------|:-----------------|:--------------|:--------|:--------------------|:-------------|:----------------|:------------------|:-------------------|:----------------|:--------------|:--------------------|:--------------|:-------------|:--------------|:----------|:--------------|:-----------------|:----------------|:------------------|:-----------|:-----------|:--------------|:-----------------|:----------------|:--------------|:-------------------|:---------------|:-------------|:--------|:---------|:--------------| | 0 | 31 | ![](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 | 17 | ![](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 | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 14 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 6 | ![](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 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 7 | ![](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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 6 | 6 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 7 | 19 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 8 | 11 | ![](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 | | | | | | | | | | X | X | | | X | | | | | X | X | | | | | | | | | | | | | | | | X | | X | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | 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) | X | | X | | | | X | X | | | | X | | X | | | X | X | X | X | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | 10 | 8 | ![](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 | X | X | X | X | X | X | X |

liuyanchen1015/MULTI_VALUE_mnli_reflex_number

--- dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: score dtype: int64 splits: - name: dev_matched num_bytes: 20356 num_examples: 92 - name: dev_mismatched num_bytes: 27643 num_examples: 112 - name: test_matched num_bytes: 22153 num_examples: 88 - name: test_mismatched num_bytes: 23549 num_examples: 102 - name: train num_bytes: 1047688 num_examples: 4272 download_size: 636372 dataset_size: 1141389 --- # Dataset Card for "MULTI_VALUE_mnli_reflex_number" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ

--- pretty_name: Evaluation run of TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ)\ \ 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_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-22T10:53:17.967443](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ/blob/main/results_2023-10-22T10-53-17.967443.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\": 0.004823825503355705,\n\ \ \"em_stderr\": 0.0007095539645563046,\n \"f1\": 0.08351929530201369,\n\ \ \"f1_stderr\": 0.0017605531187545353,\n \"acc\": 0.4477247418430049,\n\ \ \"acc_stderr\": 0.010448120593026917\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.004823825503355705,\n \"em_stderr\": 0.0007095539645563046,\n\ \ \"f1\": 0.08351929530201369,\n \"f1_stderr\": 0.0017605531187545353\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.1243366186504928,\n \ \ \"acc_stderr\": 0.009088880962028442\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.771112865035517,\n \"acc_stderr\": 0.011807360224025395\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ 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_30T22_06_48.097340 path: - '**/details_harness|arc:challenge|25_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-30T22:06:48.097340.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_22T10_53_17.967443 path: - '**/details_harness|drop|3_2023-10-22T10-53-17.967443.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-22T10-53-17.967443.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_22T10_53_17.967443 path: - '**/details_harness|gsm8k|5_2023-10-22T10-53-17.967443.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-22T10-53-17.967443.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hellaswag|10_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-30T22:06:48.097340.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-management|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-30T22:06:48.097340.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_30T22_06_48.097340 path: - '**/details_harness|truthfulqa:mc|0_2023-08-30T22:06:48.097340.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-30T22:06:48.097340.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_22T10_53_17.967443 path: - '**/details_harness|winogrande|5_2023-10-22T10-53-17.967443.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-22T10-53-17.967443.parquet' - config_name: results data_files: - split: 2023_08_30T22_06_48.097340 path: - results_2023-08-30T22:06:48.097340.parquet - split: 2023_10_22T10_53_17.967443 path: - results_2023-10-22T10-53-17.967443.parquet - split: latest path: - results_2023-10-22T10-53-17.967443.parquet --- # Dataset Card for Evaluation run of TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ - **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 [TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ](https://huggingface.co/TheBloke/OpenOrcaxOpenChat-Preview2-13B-GPTQ) 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_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-22T10:53:17.967443](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__OpenOrcaxOpenChat-Preview2-13B-GPTQ/blob/main/results_2023-10-22T10-53-17.967443.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": 0.004823825503355705, "em_stderr": 0.0007095539645563046, "f1": 0.08351929530201369, "f1_stderr": 0.0017605531187545353, "acc": 0.4477247418430049, "acc_stderr": 0.010448120593026917 }, "harness|drop|3": { "em": 0.004823825503355705, "em_stderr": 0.0007095539645563046, "f1": 0.08351929530201369, "f1_stderr": 0.0017605531187545353 }, "harness|gsm8k|5": { "acc": 0.1243366186504928, "acc_stderr": 0.009088880962028442 }, "harness|winogrande|5": { "acc": 0.771112865035517, "acc_stderr": 0.011807360224025395 } } ``` ### 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]

Aeala/ShareGPT_Vicuna_unfiltered

--- license: apache-2.0 language: - en --- ## Dataset Card This is a reupload of [this dataset](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) that was further cleaned by gozfarb.

blastwind/github-code-haskell-file

--- dataset_info: features: - name: code dtype: string - name: repo_name dtype: string - name: path dtype: string - name: license dtype: string - name: size dtype: int64 - name: n_ast_errors dtype: int64 - name: ast_max_depth dtype: int64 - name: n_whitespaces dtype: int64 - name: n_ast_nodes dtype: int64 - name: n_ast_terminals dtype: int64 - name: n_ast_nonterminals dtype: int64 - name: loc dtype: int64 - name: cycloplexity dtype: int64 splits: - name: train num_bytes: 2024779946 num_examples: 339895 download_size: 805998536 dataset_size: 2024779946 task_categories: - text-generation tags: - code - haskell size_categories: - 100K<n<1M --- # Dataset Card for "github-code-haskell-file" Rows: 339k Download Size: 806M This dataset is extracted from [github-code-clean](https://huggingface.co/datasets/codeparrot/github-code-clean). Each row also contains attribute values for my personal analysis project. 12.6% (43k) of the rows have cyclomatic complexity and LOC valued at `-1` because [`homplexity`](https://github.com/BlastWind/homplexity) failed in parsing the row's `uncommented_code`.

joey234/mmlu-high_school_european_history-verbal-neg-prepend

--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 315227 num_examples: 165 download_size: 168253 dataset_size: 315227 --- # Dataset Card for "mmlu-high_school_european_history-verbal-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

showchen/jiaobaoyu

--- license: apache-2.0 ---

medric49/dolly-rag-pythia-410m

--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string - name: res:airedefined/pythia-410m-dolly-rag dtype: string splits: - name: train num_bytes: 6006042 num_examples: 3588 download_size: 3742391 dataset_size: 6006042 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "dpo-dolly-rag-pythia-410m" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

gsstein/75-baseline-dataset-llama

--- dataset_info: features: - name: id dtype: string - name: url dtype: string - name: title dtype: string - name: summary dtype: string - name: text dtype: string - name: prompt dtype: string - name: generated dtype: bool - name: raw_summary dtype: string splits: - name: train num_bytes: 129433124 num_examples: 15326 - name: test num_bytes: 4635338 num_examples: 576 - name: validation num_bytes: 4920271 num_examples: 576 download_size: 85078773 dataset_size: 138988733 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

beyond-repair/dataset_smart_contract

--- license: mit ---

open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7_b

--- pretty_name: Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [NExtNewChattingAI/shark_tank_ai_7_b](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b)\ \ 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_NExtNewChattingAI__shark_tank_ai_7_b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-18T08:22:45.276136](https://huggingface.co/datasets/open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7_b/blob/main/results_2023-12-18T08-22-45.276136.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\": 0.65556501715169,\n\ \ \"acc_stderr\": 0.031845412531981275,\n \"acc_norm\": 0.6565753714833046,\n\ \ \"acc_norm_stderr\": 0.0324927894891608,\n \"mc1\": 0.4259485924112607,\n\ \ \"mc1_stderr\": 0.01731047190407654,\n \"mc2\": 0.6019434535176705,\n\ \ \"mc2_stderr\": 0.015061482204205485\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6313993174061433,\n \"acc_stderr\": 0.014097810678042194,\n\ \ \"acc_norm\": 0.6689419795221843,\n \"acc_norm_stderr\": 0.013752062419817836\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.678550089623581,\n\ \ \"acc_stderr\": 0.004660785616933751,\n \"acc_norm\": 0.8660625373431587,\n\ \ \"acc_norm_stderr\": 0.0033988905252297008\n },\n \"harness|hendrycksTest-abstract_algebra|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-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\": 0.6710526315789473,\n \"acc_stderr\": 0.038234289699266046,\n\ \ \"acc_norm\": 0.6710526315789473,\n \"acc_norm_stderr\": 0.038234289699266046\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7569444444444444,\n\ \ \"acc_stderr\": 0.03586879280080341,\n \"acc_norm\": 0.7569444444444444,\n\ \ \"acc_norm_stderr\": 0.03586879280080341\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"\ acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247078,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247078\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726367,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726367\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.77,\n\ \ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6042553191489362,\n \"acc_stderr\": 0.031967586978353627,\n\ \ \"acc_norm\": 0.6042553191489362,\n \"acc_norm_stderr\": 0.031967586978353627\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.04697085136647863,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.04697085136647863\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6206896551724138,\n \"acc_stderr\": 0.040434618619167466,\n\ \ \"acc_norm\": 0.6206896551724138,\n \"acc_norm_stderr\": 0.040434618619167466\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4417989417989418,\n \"acc_stderr\": 0.025576257061253833,\n \"\ acc_norm\": 0.4417989417989418,\n \"acc_norm_stderr\": 0.025576257061253833\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\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\": 0.7903225806451613,\n\ \ \"acc_stderr\": 0.023157879349083525,\n \"acc_norm\": 0.7903225806451613,\n\ \ \"acc_norm_stderr\": 0.023157879349083525\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\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\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586825,\n \"\ acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586825\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.020986854593289733,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.020986854593289733\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6923076923076923,\n \"acc_stderr\": 0.02340092891831049,\n \ \ \"acc_norm\": 0.6923076923076923,\n \"acc_norm_stderr\": 0.02340092891831049\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251972,\n \ \ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251972\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7184873949579832,\n \"acc_stderr\": 0.029213549414372177,\n\ \ \"acc_norm\": 0.7184873949579832,\n \"acc_norm_stderr\": 0.029213549414372177\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8385321100917431,\n \"acc_stderr\": 0.015776239256163248,\n \"\ acc_norm\": 0.8385321100917431,\n \"acc_norm_stderr\": 0.015776239256163248\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5694444444444444,\n \"acc_stderr\": 0.03376922151252335,\n \"\ acc_norm\": 0.5694444444444444,\n \"acc_norm_stderr\": 0.03376922151252335\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8186274509803921,\n \"acc_stderr\": 0.027044621719474082,\n \"\ acc_norm\": 0.8186274509803921,\n \"acc_norm_stderr\": 0.027044621719474082\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621115,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621115\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6995515695067265,\n\ \ \"acc_stderr\": 0.030769352008229146,\n \"acc_norm\": 0.6995515695067265,\n\ \ \"acc_norm_stderr\": 0.030769352008229146\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8320610687022901,\n \"acc_stderr\": 0.032785485373431386,\n\ \ \"acc_norm\": 0.8320610687022901,\n \"acc_norm_stderr\": 0.032785485373431386\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098825,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098825\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\ \ \"acc_stderr\": 0.038260763248848646,\n \"acc_norm\": 0.8055555555555556,\n\ \ \"acc_norm_stderr\": 0.038260763248848646\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615624,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615624\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5178571428571429,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.5178571428571429,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8390804597701149,\n\ \ \"acc_stderr\": 0.013140225515611724,\n \"acc_norm\": 0.8390804597701149,\n\ \ \"acc_norm_stderr\": 0.013140225515611724\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7312138728323699,\n \"acc_stderr\": 0.023868003262500107,\n\ \ \"acc_norm\": 0.7312138728323699,\n \"acc_norm_stderr\": 0.023868003262500107\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.44581005586592176,\n\ \ \"acc_stderr\": 0.01662399851333311,\n \"acc_norm\": 0.44581005586592176,\n\ \ \"acc_norm_stderr\": 0.01662399851333311\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7516339869281046,\n \"acc_stderr\": 0.02473998135511359,\n\ \ \"acc_norm\": 0.7516339869281046,\n \"acc_norm_stderr\": 0.02473998135511359\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7202572347266881,\n\ \ \"acc_stderr\": 0.02549425935069491,\n \"acc_norm\": 0.7202572347266881,\n\ \ \"acc_norm_stderr\": 0.02549425935069491\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.02438366553103545,\n\ \ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.02438366553103545\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.01272570165695364,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.01272570165695364\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7022058823529411,\n \"acc_stderr\": 0.027778298701545443,\n\ \ \"acc_norm\": 0.7022058823529411,\n \"acc_norm_stderr\": 0.027778298701545443\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6944444444444444,\n \"acc_stderr\": 0.01863559403442397,\n \ \ \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.01863559403442397\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8656716417910447,\n\ \ \"acc_stderr\": 0.02411267824090083,\n \"acc_norm\": 0.8656716417910447,\n\ \ \"acc_norm_stderr\": 0.02411267824090083\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.9,\n \"acc_stderr\": 0.030151134457776334,\n \ \ \"acc_norm\": 0.9,\n \"acc_norm_stderr\": 0.030151134457776334\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160893,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160893\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4259485924112607,\n\ \ \"mc1_stderr\": 0.01731047190407654,\n \"mc2\": 0.6019434535176705,\n\ \ \"mc2_stderr\": 0.015061482204205485\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.819258089976322,\n \"acc_stderr\": 0.010814911009613983\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6573161485974223,\n \ \ \"acc_stderr\": 0.01307303023082791\n }\n}\n```" repo_url: https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b 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_12_18T08_22_45.276136 path: - '**/details_harness|arc:challenge|25_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-18T08-22-45.276136.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|gsm8k|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hellaswag|10_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-18T08-22-45.276136.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-management|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-18T08-22-45.276136.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|truthfulqa:mc|0_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-18T08-22-45.276136.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_18T08_22_45.276136 path: - '**/details_harness|winogrande|5_2023-12-18T08-22-45.276136.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-18T08-22-45.276136.parquet' - config_name: results data_files: - split: 2023_12_18T08_22_45.276136 path: - results_2023-12-18T08-22-45.276136.parquet - split: latest path: - results_2023-12-18T08-22-45.276136.parquet --- # Dataset Card for Evaluation run of NExtNewChattingAI/shark_tank_ai_7_b  Dataset automatically created during the evaluation run of model [NExtNewChattingAI/shark_tank_ai_7_b](https://huggingface.co/NExtNewChattingAI/shark_tank_ai_7_b) 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_NExtNewChattingAI__shark_tank_ai_7_b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-18T08:22:45.276136](https://huggingface.co/datasets/open-llm-leaderboard/details_NExtNewChattingAI__shark_tank_ai_7_b/blob/main/results_2023-12-18T08-22-45.276136.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": 0.65556501715169, "acc_stderr": 0.031845412531981275, "acc_norm": 0.6565753714833046, "acc_norm_stderr": 0.0324927894891608, "mc1": 0.4259485924112607, "mc1_stderr": 0.01731047190407654, "mc2": 0.6019434535176705, "mc2_stderr": 0.015061482204205485 }, "harness|arc:challenge|25": { "acc": 0.6313993174061433, "acc_stderr": 0.014097810678042194, "acc_norm": 0.6689419795221843, "acc_norm_stderr": 0.013752062419817836 }, "harness|hellaswag|10": { "acc": 0.678550089623581, "acc_stderr": 0.004660785616933751, "acc_norm": 0.8660625373431587, "acc_norm_stderr": 0.0033988905252297008 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "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": 0.6710526315789473, "acc_stderr": 0.038234289699266046, "acc_norm": 0.6710526315789473, "acc_norm_stderr": 0.038234289699266046 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6981132075471698, "acc_stderr": 0.02825420034443866, "acc_norm": 0.6981132075471698, "acc_norm_stderr": 0.02825420034443866 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7569444444444444, "acc_stderr": 0.03586879280080341, "acc_norm": 0.7569444444444444, "acc_norm_stderr": 0.03586879280080341 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247078, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247078 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.04897104952726367, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726367 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.77, "acc_stderr": 0.04229525846816506, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6042553191489362, "acc_stderr": 0.031967586978353627, "acc_norm": 0.6042553191489362, "acc_norm_stderr": 0.031967586978353627 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.47368421052631576, "acc_stderr": 0.04697085136647863, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.04697085136647863 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6206896551724138, "acc_stderr": 0.040434618619167466, "acc_norm": 0.6206896551724138, "acc_norm_stderr": 0.040434618619167466 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4417989417989418, "acc_stderr": 0.025576257061253833, "acc_norm": 0.4417989417989418, "acc_norm_stderr": 0.025576257061253833 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "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": 0.7903225806451613, "acc_stderr": 0.023157879349083525, "acc_norm": 0.7903225806451613, "acc_norm_stderr": 0.023157879349083525 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "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": 0.7696969696969697, "acc_stderr": 0.0328766675860349, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.0328766675860349 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7878787878787878, "acc_stderr": 0.029126522834586825, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.029126522834586825 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9067357512953368, "acc_stderr": 0.020986854593289733, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.020986854593289733 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6923076923076923, "acc_stderr": 0.02340092891831049, "acc_norm": 0.6923076923076923, "acc_norm_stderr": 0.02340092891831049 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3592592592592593, "acc_stderr": 0.029252905927251972, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.029252905927251972 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7184873949579832, "acc_stderr": 0.029213549414372177, "acc_norm": 0.7184873949579832, "acc_norm_stderr": 0.029213549414372177 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33774834437086093, "acc_stderr": 0.03861557546255169, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.03861557546255169 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8385321100917431, "acc_stderr": 0.015776239256163248, "acc_norm": 0.8385321100917431, "acc_norm_stderr": 0.015776239256163248 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5694444444444444, "acc_stderr": 0.03376922151252335, "acc_norm": 0.5694444444444444, "acc_norm_stderr": 0.03376922151252335 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8186274509803921, "acc_stderr": 0.027044621719474082, "acc_norm": 0.8186274509803921, "acc_norm_stderr": 0.027044621719474082 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8016877637130801, "acc_stderr": 0.025955020841621115, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.025955020841621115 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6995515695067265, "acc_stderr": 0.030769352008229146, "acc_norm": 0.6995515695067265, "acc_norm_stderr": 0.030769352008229146 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8320610687022901, "acc_stderr": 0.032785485373431386, "acc_norm": 0.8320610687022901, "acc_norm_stderr": 0.032785485373431386 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098825, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098825 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8055555555555556, "acc_stderr": 0.038260763248848646, "acc_norm": 0.8055555555555556, "acc_norm_stderr": 0.038260763248848646 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615624, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615624 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5178571428571429, "acc_stderr": 0.047427623612430116, "acc_norm": 0.5178571428571429, "acc_norm_stderr": 0.047427623612430116 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8717948717948718, "acc_stderr": 0.02190190511507333, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.02190190511507333 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8390804597701149, "acc_stderr": 0.013140225515611724, "acc_norm": 0.8390804597701149, "acc_norm_stderr": 0.013140225515611724 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7312138728323699, "acc_stderr": 0.023868003262500107, "acc_norm": 0.7312138728323699, "acc_norm_stderr": 0.023868003262500107 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.44581005586592176, "acc_stderr": 0.01662399851333311, "acc_norm": 0.44581005586592176, "acc_norm_stderr": 0.01662399851333311 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7516339869281046, "acc_stderr": 0.02473998135511359, "acc_norm": 0.7516339869281046, "acc_norm_stderr": 0.02473998135511359 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7202572347266881, "acc_stderr": 0.02549425935069491, "acc_norm": 0.7202572347266881, "acc_norm_stderr": 0.02549425935069491 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7407407407407407, "acc_stderr": 0.02438366553103545, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.02438366553103545 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.48936170212765956, "acc_stderr": 0.029820747191422473, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.029820747191422473 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.45827900912646674, "acc_stderr": 0.01272570165695364, "acc_norm": 0.45827900912646674, "acc_norm_stderr": 0.01272570165695364 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7022058823529411, "acc_stderr": 0.027778298701545443, "acc_norm": 0.7022058823529411, "acc_norm_stderr": 0.027778298701545443 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6944444444444444, "acc_stderr": 0.01863559403442397, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.01863559403442397 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7, "acc_stderr": 0.04389311454644287, "acc_norm": 0.7, "acc_norm_stderr": 0.04389311454644287 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8656716417910447, "acc_stderr": 0.02411267824090083, "acc_norm": 0.8656716417910447, "acc_norm_stderr": 0.02411267824090083 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.9, "acc_stderr": 0.030151134457776334, "acc_norm": 0.9, "acc_norm_stderr": 0.030151134457776334 }, "harness|hendrycksTest-virology|5": { "acc": 0.536144578313253, "acc_stderr": 0.038823108508905954, "acc_norm": 0.536144578313253, "acc_norm_stderr": 0.038823108508905954 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8421052631578947, "acc_stderr": 0.027966785859160893, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160893 }, "harness|truthfulqa:mc|0": { "mc1": 0.4259485924112607, "mc1_stderr": 0.01731047190407654, "mc2": 0.6019434535176705, "mc2_stderr": 0.015061482204205485 }, "harness|winogrande|5": { "acc": 0.819258089976322, "acc_stderr": 0.010814911009613983 }, "harness|gsm8k|5": { "acc": 0.6573161485974223, "acc_stderr": 0.01307303023082791 } } ``` ## 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]

rocailler/test_prod_lab

--- license: cc dataset_info: features: - name: product_name dtype: string - name: labels dtype: string splits: - name: train num_bytes: 19643 num_examples: 99 download_size: 0 dataset_size: 19643 configs: - config_name: default data_files: - split: train path: data/train-* ---

tj-solergibert/Europarl-ST-processed-mt-fr

--- dataset_info: features: - name: source_text dtype: string - name: dest_text dtype: string - name: dest_lang dtype: class_label: names: '0': de '1': en '2': es '3': fr '4': it '5': nl '6': pl '7': pt '8': ro splits: - name: train num_bytes: 199700180 num_examples: 560866 - name: valid num_bytes: 27382683 num_examples: 74712 - name: test num_bytes: 28363822 num_examples: 77906 download_size: 95095990 dataset_size: 255446685 --- # Dataset Card for "Europarl-ST-processed-mt-fr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

TheFinAI/fiqa-sentiment-classification

--- language: en license: mit dataset_info: features: - name: _id dtype: string - name: sentence dtype: string - name: target dtype: string - name: aspect dtype: string - name: score dtype: float64 - name: type dtype: string splits: - name: train num_bytes: 119567 num_examples: 822 - name: valid num_bytes: 17184 num_examples: 117 - name: test num_bytes: 33728 num_examples: 234 download_size: 102225 dataset_size: 170479 --- # Dataset Name ## Dataset Description This dataset is based on the task 1 of the Financial Sentiment Analysis in the Wild (FiQA) challenge. It follows the same settings as described in the paper 'A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News'. The dataset is split into three subsets: train, valid, test with sizes 822, 117, 234 respectively. ## Dataset Structure - `_id`: ID of the data point - `sentence`: The sentence - `target`: The target of the sentiment - `aspect`: The aspect of the sentiment - `score`: The sentiment score - `type`: The type of the data point (headline or post) ## Additional Information - Homepage: [FiQA Challenge](https://sites.google.com/view/fiqa/home) - Citation: [A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News](https://arxiv.org/pdf/2211.00083.pdf) ## Downloading CSV ```python from datasets import load_dataset # Load the dataset from the hub dataset = load_dataset("ChanceFocus/fiqa-sentiment-classification") # Save the dataset to a CSV file dataset["train"].to_csv("train.csv") dataset["valid"].to_csv("valid.csv") dataset["test"].to_csv("test.csv") ```

alanila/autotrain-data-mm

--- task_categories: - conditional-text-generation --- # AutoTrain Dataset for project: mm ## Dataset Description This dataset has been automatically processed by AutoTrain for project mm. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "text": "Email from attorney A Dutkanych regarding executed Settlement Agreement", "target": "Email from attorney A Dutkanych regarding executed Settlement Agreement" }, { "text": "Telephone conference with A Royer regarding additional factual background information relating to O Stapletons Charge of Discrimination allegations", "target": "Telephone conference with A Royer regarding additional factual background information as to O Stapletons Charge of Discrimination allegations" } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "text": "Value(dtype='string', id=None)", "target": "Value(dtype='string', id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 88 | | valid | 22 |

open-llm-leaderboard/details_kevin009__babyllama-v0.6

--- pretty_name: Evaluation run of kevin009/babyllama-v0.6 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [kevin009/babyllama-v0.6](https://huggingface.co/kevin009/babyllama-v0.6) 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_kevin009__babyllama-v0.6\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-13T10:06:30.565512](https://huggingface.co/datasets/open-llm-leaderboard/details_kevin009__babyllama-v0.6/blob/main/results_2024-02-13T10-06-30.565512.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\": 0.26066347798834766,\n\ \ \"acc_stderr\": 0.030904794820091792,\n \"acc_norm\": 0.26161932329960463,\n\ \ \"acc_norm_stderr\": 0.0316608342460649,\n \"mc1\": 0.22031823745410037,\n\ \ \"mc1_stderr\": 0.014509045171487295,\n \"mc2\": 0.3584100057903431,\n\ \ \"mc2_stderr\": 0.013776314892170112\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.35238907849829354,\n \"acc_stderr\": 0.013960142600598677,\n\ \ \"acc_norm\": 0.3609215017064846,\n \"acc_norm_stderr\": 0.014034761386175458\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.46335391356303524,\n\ \ \"acc_stderr\": 0.004976361454341339,\n \"acc_norm\": 0.6159131647082254,\n\ \ \"acc_norm_stderr\": 0.0048538457503921415\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909284,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909284\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.17777777777777778,\n\ \ \"acc_stderr\": 0.03302789859901717,\n \"acc_norm\": 0.17777777777777778,\n\ \ \"acc_norm_stderr\": 0.03302789859901717\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.17105263157894737,\n \"acc_stderr\": 0.030643607071677077,\n\ \ \"acc_norm\": 0.17105263157894737,\n \"acc_norm_stderr\": 0.030643607071677077\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.24,\n\ \ \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.24,\n \ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.2830188679245283,\n \"acc_stderr\": 0.027724236492700904,\n\ \ \"acc_norm\": 0.2830188679245283,\n \"acc_norm_stderr\": 0.027724236492700904\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.24305555555555555,\n\ \ \"acc_stderr\": 0.035868792800803406,\n \"acc_norm\": 0.24305555555555555,\n\ \ \"acc_norm_stderr\": 0.035868792800803406\n },\n \"harness|hendrycksTest-college_chemistry|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-college_computer_science|5\": {\n \"acc\"\ : 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \"acc_norm\": 0.27,\n\ \ \"acc_norm_stderr\": 0.0446196043338474\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.19653179190751446,\n\ \ \"acc_stderr\": 0.030299574664788147,\n \"acc_norm\": 0.19653179190751446,\n\ \ \"acc_norm_stderr\": 0.030299574664788147\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.19607843137254902,\n \"acc_stderr\": 0.03950581861179961,\n\ \ \"acc_norm\": 0.19607843137254902,\n \"acc_norm_stderr\": 0.03950581861179961\n\ \ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ : {\n \"acc\": 0.28085106382978725,\n \"acc_stderr\": 0.02937917046412482,\n\ \ \"acc_norm\": 0.28085106382978725,\n \"acc_norm_stderr\": 0.02937917046412482\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2631578947368421,\n\ \ \"acc_stderr\": 0.041424397194893624,\n \"acc_norm\": 0.2631578947368421,\n\ \ \"acc_norm_stderr\": 0.041424397194893624\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.23448275862068965,\n \"acc_stderr\": 0.035306258743465914,\n\ \ \"acc_norm\": 0.23448275862068965,\n \"acc_norm_stderr\": 0.035306258743465914\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.25925925925925924,\n \"acc_stderr\": 0.022569897074918417,\n \"\ acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.022569897074918417\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.1984126984126984,\n\ \ \"acc_stderr\": 0.03567016675276864,\n \"acc_norm\": 0.1984126984126984,\n\ \ \"acc_norm_stderr\": 0.03567016675276864\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.2645161290322581,\n\ \ \"acc_stderr\": 0.025091892378859275,\n \"acc_norm\": 0.2645161290322581,\n\ \ \"acc_norm_stderr\": 0.025091892378859275\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03010833071801162,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03010833071801162\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.22,\n \"acc_stderr\": 0.041633319989322695,\n \"acc_norm\"\ : 0.22,\n \"acc_norm_stderr\": 0.041633319989322695\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.2909090909090909,\n \"acc_stderr\": 0.03546563019624336,\n\ \ \"acc_norm\": 0.2909090909090909,\n \"acc_norm_stderr\": 0.03546563019624336\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.2222222222222222,\n \"acc_stderr\": 0.029620227874790486,\n \"\ acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.029620227874790486\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.22279792746113988,\n \"acc_stderr\": 0.03003114797764154,\n\ \ \"acc_norm\": 0.22279792746113988,\n \"acc_norm_stderr\": 0.03003114797764154\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.24615384615384617,\n \"acc_stderr\": 0.021840866990423088,\n\ \ \"acc_norm\": 0.24615384615384617,\n \"acc_norm_stderr\": 0.021840866990423088\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.26666666666666666,\n \"acc_stderr\": 0.02696242432507384,\n \ \ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.02696242432507384\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.027553614467863818,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.027553614467863818\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2052980132450331,\n \"acc_stderr\": 0.03297986648473836,\n \"\ acc_norm\": 0.2052980132450331,\n \"acc_norm_stderr\": 0.03297986648473836\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.24036697247706423,\n \"acc_stderr\": 0.01832060732096407,\n \"\ acc_norm\": 0.24036697247706423,\n \"acc_norm_stderr\": 0.01832060732096407\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.38425925925925924,\n \"acc_stderr\": 0.03317354514310742,\n \"\ acc_norm\": 0.38425925925925924,\n \"acc_norm_stderr\": 0.03317354514310742\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.24019607843137256,\n \"acc_stderr\": 0.02998373305591362,\n \"\ acc_norm\": 0.24019607843137256,\n \"acc_norm_stderr\": 0.02998373305591362\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.25316455696202533,\n \"acc_stderr\": 0.0283046579430353,\n \ \ \"acc_norm\": 0.25316455696202533,\n \"acc_norm_stderr\": 0.0283046579430353\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3632286995515695,\n\ \ \"acc_stderr\": 0.03227790442850499,\n \"acc_norm\": 0.3632286995515695,\n\ \ \"acc_norm_stderr\": 0.03227790442850499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.2366412213740458,\n \"acc_stderr\": 0.037276735755969195,\n\ \ \"acc_norm\": 0.2366412213740458,\n \"acc_norm_stderr\": 0.037276735755969195\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.256198347107438,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.256198347107438,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25925925925925924,\n\ \ \"acc_stderr\": 0.04236511258094633,\n \"acc_norm\": 0.25925925925925924,\n\ \ \"acc_norm_stderr\": 0.04236511258094633\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.22085889570552147,\n \"acc_stderr\": 0.032591773927421776,\n\ \ \"acc_norm\": 0.22085889570552147,\n \"acc_norm_stderr\": 0.032591773927421776\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.29464285714285715,\n\ \ \"acc_stderr\": 0.04327040932578728,\n \"acc_norm\": 0.29464285714285715,\n\ \ \"acc_norm_stderr\": 0.04327040932578728\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.2621359223300971,\n \"acc_stderr\": 0.04354631077260597,\n\ \ \"acc_norm\": 0.2621359223300971,\n \"acc_norm_stderr\": 0.04354631077260597\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.28205128205128205,\n\ \ \"acc_stderr\": 0.029480360549541194,\n \"acc_norm\": 0.28205128205128205,\n\ \ \"acc_norm_stderr\": 0.029480360549541194\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.280970625798212,\n\ \ \"acc_stderr\": 0.01607312785122125,\n \"acc_norm\": 0.280970625798212,\n\ \ \"acc_norm_stderr\": 0.01607312785122125\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.2254335260115607,\n \"acc_stderr\": 0.022497230190967547,\n\ \ \"acc_norm\": 0.2254335260115607,\n \"acc_norm_stderr\": 0.022497230190967547\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.22681564245810057,\n\ \ \"acc_stderr\": 0.014005843570897897,\n \"acc_norm\": 0.22681564245810057,\n\ \ \"acc_norm_stderr\": 0.014005843570897897\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.24183006535947713,\n \"acc_stderr\": 0.024518195641879334,\n\ \ \"acc_norm\": 0.24183006535947713,\n \"acc_norm_stderr\": 0.024518195641879334\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.26688102893890675,\n\ \ \"acc_stderr\": 0.02512263760881665,\n \"acc_norm\": 0.26688102893890675,\n\ \ \"acc_norm_stderr\": 0.02512263760881665\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.2654320987654321,\n \"acc_stderr\": 0.024569223600460845,\n\ \ \"acc_norm\": 0.2654320987654321,\n \"acc_norm_stderr\": 0.024569223600460845\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.25886524822695034,\n \"acc_stderr\": 0.026129572527180848,\n \ \ \"acc_norm\": 0.25886524822695034,\n \"acc_norm_stderr\": 0.026129572527180848\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.23859191655801826,\n\ \ \"acc_stderr\": 0.0108859297420022,\n \"acc_norm\": 0.23859191655801826,\n\ \ \"acc_norm_stderr\": 0.0108859297420022\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.20220588235294118,\n \"acc_stderr\": 0.02439819298665492,\n\ \ \"acc_norm\": 0.20220588235294118,\n \"acc_norm_stderr\": 0.02439819298665492\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.26633986928104575,\n \"acc_stderr\": 0.017883188134667192,\n \ \ \"acc_norm\": 0.26633986928104575,\n \"acc_norm_stderr\": 0.017883188134667192\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.3181818181818182,\n\ \ \"acc_stderr\": 0.04461272175910507,\n \"acc_norm\": 0.3181818181818182,\n\ \ \"acc_norm_stderr\": 0.04461272175910507\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.17142857142857143,\n \"acc_stderr\": 0.02412746346265015,\n\ \ \"acc_norm\": 0.17142857142857143,\n \"acc_norm_stderr\": 0.02412746346265015\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.23383084577114427,\n\ \ \"acc_stderr\": 0.029929415408348384,\n \"acc_norm\": 0.23383084577114427,\n\ \ \"acc_norm_stderr\": 0.029929415408348384\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.3192771084337349,\n\ \ \"acc_stderr\": 0.03629335329947861,\n \"acc_norm\": 0.3192771084337349,\n\ \ \"acc_norm_stderr\": 0.03629335329947861\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.2807017543859649,\n \"acc_stderr\": 0.034462962170884265,\n\ \ \"acc_norm\": 0.2807017543859649,\n \"acc_norm_stderr\": 0.034462962170884265\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.22031823745410037,\n\ \ \"mc1_stderr\": 0.014509045171487295,\n \"mc2\": 0.3584100057903431,\n\ \ \"mc2_stderr\": 0.013776314892170112\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6101026045777427,\n \"acc_stderr\": 0.013707547317008463\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.01592115238817286,\n \ \ \"acc_stderr\": 0.0034478192723890015\n }\n}\n```" repo_url: https://huggingface.co/kevin009/babyllama-v0.6 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_02_13T10_06_30.565512 path: - '**/details_harness|arc:challenge|25_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-13T10-06-30.565512.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|gsm8k|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hellaswag|10_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-13T10-06-30.565512.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-management|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-13T10-06-30.565512.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|truthfulqa:mc|0_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-13T10-06-30.565512.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_13T10_06_30.565512 path: - '**/details_harness|winogrande|5_2024-02-13T10-06-30.565512.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-13T10-06-30.565512.parquet' - config_name: results data_files: - split: 2024_02_13T10_06_30.565512 path: - results_2024-02-13T10-06-30.565512.parquet - split: latest path: - results_2024-02-13T10-06-30.565512.parquet --- # Dataset Card for Evaluation run of kevin009/babyllama-v0.6  Dataset automatically created during the evaluation run of model [kevin009/babyllama-v0.6](https://huggingface.co/kevin009/babyllama-v0.6) 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_kevin009__babyllama-v0.6", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-13T10:06:30.565512](https://huggingface.co/datasets/open-llm-leaderboard/details_kevin009__babyllama-v0.6/blob/main/results_2024-02-13T10-06-30.565512.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": 0.26066347798834766, "acc_stderr": 0.030904794820091792, "acc_norm": 0.26161932329960463, "acc_norm_stderr": 0.0316608342460649, "mc1": 0.22031823745410037, "mc1_stderr": 0.014509045171487295, "mc2": 0.3584100057903431, "mc2_stderr": 0.013776314892170112 }, "harness|arc:challenge|25": { "acc": 0.35238907849829354, "acc_stderr": 0.013960142600598677, "acc_norm": 0.3609215017064846, "acc_norm_stderr": 0.014034761386175458 }, "harness|hellaswag|10": { "acc": 0.46335391356303524, "acc_stderr": 0.004976361454341339, "acc_norm": 0.6159131647082254, "acc_norm_stderr": 0.0048538457503921415 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.17777777777777778, "acc_stderr": 0.03302789859901717, "acc_norm": 0.17777777777777778, "acc_norm_stderr": 0.03302789859901717 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17105263157894737, "acc_stderr": 0.030643607071677077, "acc_norm": 0.17105263157894737, "acc_norm_stderr": 0.030643607071677077 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2830188679245283, "acc_stderr": 0.027724236492700904, "acc_norm": 0.2830188679245283, "acc_norm_stderr": 0.027724236492700904 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.24305555555555555, "acc_stderr": 0.035868792800803406, "acc_norm": 0.24305555555555555, "acc_norm_stderr": 0.035868792800803406 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.19653179190751446, "acc_stderr": 0.030299574664788147, "acc_norm": 0.19653179190751446, "acc_norm_stderr": 0.030299574664788147 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179961, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179961 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.28085106382978725, "acc_stderr": 0.02937917046412482, "acc_norm": 0.28085106382978725, "acc_norm_stderr": 0.02937917046412482 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.041424397194893624, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.041424397194893624 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.23448275862068965, "acc_stderr": 0.035306258743465914, "acc_norm": 0.23448275862068965, "acc_norm_stderr": 0.035306258743465914 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.022569897074918417, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.022569897074918417 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1984126984126984, "acc_stderr": 0.03567016675276864, "acc_norm": 0.1984126984126984, "acc_norm_stderr": 0.03567016675276864 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2645161290322581, "acc_stderr": 0.025091892378859275, "acc_norm": 0.2645161290322581, "acc_norm_stderr": 0.025091892378859275 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03010833071801162, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03010833071801162 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2909090909090909, "acc_stderr": 0.03546563019624336, "acc_norm": 0.2909090909090909, "acc_norm_stderr": 0.03546563019624336 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2222222222222222, "acc_stderr": 0.029620227874790486, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.029620227874790486 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22279792746113988, "acc_stderr": 0.03003114797764154, "acc_norm": 0.22279792746113988, "acc_norm_stderr": 0.03003114797764154 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423088, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.021840866990423088 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.02696242432507384, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.02696242432507384 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.027553614467863818, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.027553614467863818 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2052980132450331, "acc_stderr": 0.03297986648473836, "acc_norm": 0.2052980132450331, "acc_norm_stderr": 0.03297986648473836 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.24036697247706423, "acc_stderr": 0.01832060732096407, "acc_norm": 0.24036697247706423, "acc_norm_stderr": 0.01832060732096407 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.38425925925925924, "acc_stderr": 0.03317354514310742, "acc_norm": 0.38425925925925924, "acc_norm_stderr": 0.03317354514310742 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.24019607843137256, "acc_stderr": 0.02998373305591362, "acc_norm": 0.24019607843137256, "acc_norm_stderr": 0.02998373305591362 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.25316455696202533, "acc_stderr": 0.0283046579430353, "acc_norm": 0.25316455696202533, "acc_norm_stderr": 0.0283046579430353 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.3632286995515695, "acc_stderr": 0.03227790442850499, "acc_norm": 0.3632286995515695, "acc_norm_stderr": 0.03227790442850499 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.2366412213740458, "acc_stderr": 0.037276735755969195, "acc_norm": 0.2366412213740458, "acc_norm_stderr": 0.037276735755969195 }, "harness|hendrycksTest-international_law|5": { "acc": 0.256198347107438, "acc_stderr": 0.03984979653302871, "acc_norm": 0.256198347107438, "acc_norm_stderr": 0.03984979653302871 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.25925925925925924, "acc_stderr": 0.04236511258094633, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.04236511258094633 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.22085889570552147, "acc_stderr": 0.032591773927421776, "acc_norm": 0.22085889570552147, "acc_norm_stderr": 0.032591773927421776 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.29464285714285715, "acc_stderr": 0.04327040932578728, "acc_norm": 0.29464285714285715, "acc_norm_stderr": 0.04327040932578728 }, "harness|hendrycksTest-management|5": { "acc": 0.2621359223300971, "acc_stderr": 0.04354631077260597, "acc_norm": 0.2621359223300971, "acc_norm_stderr": 0.04354631077260597 }, "harness|hendrycksTest-marketing|5": { "acc": 0.28205128205128205, "acc_stderr": 0.029480360549541194, "acc_norm": 0.28205128205128205, "acc_norm_stderr": 0.029480360549541194 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.280970625798212, "acc_stderr": 0.01607312785122125, "acc_norm": 0.280970625798212, "acc_norm_stderr": 0.01607312785122125 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.2254335260115607, "acc_stderr": 0.022497230190967547, "acc_norm": 0.2254335260115607, "acc_norm_stderr": 0.022497230190967547 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.22681564245810057, "acc_stderr": 0.014005843570897897, "acc_norm": 0.22681564245810057, "acc_norm_stderr": 0.014005843570897897 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.24183006535947713, "acc_stderr": 0.024518195641879334, "acc_norm": 0.24183006535947713, "acc_norm_stderr": 0.024518195641879334 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.26688102893890675, "acc_stderr": 0.02512263760881665, "acc_norm": 0.26688102893890675, "acc_norm_stderr": 0.02512263760881665 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.2654320987654321, "acc_stderr": 0.024569223600460845, "acc_norm": 0.2654320987654321, "acc_norm_stderr": 0.024569223600460845 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.25886524822695034, "acc_stderr": 0.026129572527180848, "acc_norm": 0.25886524822695034, "acc_norm_stderr": 0.026129572527180848 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.23859191655801826, "acc_stderr": 0.0108859297420022, "acc_norm": 0.23859191655801826, "acc_norm_stderr": 0.0108859297420022 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.20220588235294118, "acc_stderr": 0.02439819298665492, "acc_norm": 0.20220588235294118, "acc_norm_stderr": 0.02439819298665492 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.26633986928104575, "acc_stderr": 0.017883188134667192, "acc_norm": 0.26633986928104575, "acc_norm_stderr": 0.017883188134667192 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.3181818181818182, "acc_stderr": 0.04461272175910507, "acc_norm": 0.3181818181818182, "acc_norm_stderr": 0.04461272175910507 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.17142857142857143, "acc_stderr": 0.02412746346265015, "acc_norm": 0.17142857142857143, "acc_norm_stderr": 0.02412746346265015 }, "harness|hendrycksTest-sociology|5": { "acc": 0.23383084577114427, "acc_stderr": 0.029929415408348384, "acc_norm": 0.23383084577114427, "acc_norm_stderr": 0.029929415408348384 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-virology|5": { "acc": 0.3192771084337349, "acc_stderr": 0.03629335329947861, "acc_norm": 0.3192771084337349, "acc_norm_stderr": 0.03629335329947861 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.2807017543859649, "acc_stderr": 0.034462962170884265, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.034462962170884265 }, "harness|truthfulqa:mc|0": { "mc1": 0.22031823745410037, "mc1_stderr": 0.014509045171487295, "mc2": 0.3584100057903431, "mc2_stderr": 0.013776314892170112 }, "harness|winogrande|5": { "acc": 0.6101026045777427, "acc_stderr": 0.013707547317008463 }, "harness|gsm8k|5": { "acc": 0.01592115238817286, "acc_stderr": 0.0034478192723890015 } } ``` ## 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]

chan127ck/temp-dataset

--- license: mit ---

dkshjn/MedpromptCoT

--- dataset_info: features: - name: question dtype: string - name: options dtype: string - name: context dtype: string - name: answer dtype: string splits: - name: train num_bytes: 33862 num_examples: 100 download_size: 0 dataset_size: 33862 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "MedpromptCoT" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

dmrau/cqudupstack-tex

--- configs: - config_name: default data_files: - split: queries path: data/queries-* - split: corpus path: data/corpus-* dataset_info: features: - name: _id dtype: string - name: text dtype: string - name: title dtype: string splits: - name: queries num_bytes: 186934 num_examples: 2906 - name: corpus num_bytes: 86600423 num_examples: 68184 download_size: 43424126 dataset_size: 86787357 --- # Dataset Card for "cqudupstack-tex" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

quan246/MultiMed_News

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: dev path: data/dev-* - split: test path: data/test-* dataset_info: features: - name: translation struct: - name: en dtype: string - name: vi dtype: string splits: - name: train num_bytes: 189631 num_examples: 1000 - name: dev num_bytes: 22160 num_examples: 100 - name: test num_bytes: 628165 num_examples: 2352 download_size: 483746 dataset_size: 839956 --- # Dataset Card for "MultiMed_News" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Tejagoud/sample2testforqa

--- dataset_info: features: - name: image dtype: image - name: id dtype: string - name: query dtype: string - name: answer dtype: string splits: - name: train num_bytes: 3143730.0 num_examples: 7 download_size: 614598 dataset_size: 3143730.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

atgarcia/trainDataset3

--- dataset_info: features: - name: text dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: emg sequence: sequence: float64 splits: - name: train num_bytes: 809926972 num_examples: 548 download_size: 306448547 dataset_size: 809926972 configs: - config_name: default data_files: - split: train path: data/train-* ---

hdeldar/Persian-Text-llama2-1k

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1830325 num_examples: 1000 download_size: 1841325 dataset_size: 1830325 dataset_name: json configs: - config_name: default data_files: - split: train path: data/data-* --- # Persian-Text-QA: Lazy Llama 2 Formatting This is a subset (1k samples) of the [`SeyedAli/Persian-Text-QA`](https://huggingface.co/datasets/SeyedAli/Persian-Text-QA) dataset, processed to match Llama 2's prompt format as described [in this article](https://huggingface.co/blog/llama2#how-to-prompt-llama-2). It was created using the following [colab notebook](https://colab.research.google.com/drive/1Ad7a9zMmkxuXTOh1Z7-rNSICA4dybpM2?usp=sharing). Useful if you don't want to reformat it by yourself (e.g., using a script). It was designed for [this article](https://mlabonne.github.io/blog/posts/Fine_Tune_Your_Own_Llama_2_Model_in_a_Colab_Notebook.html) about fine-tuning a Llama 2 (chat) model in a Google Colab.

gaygaaa/LINKS

--- license: mit ---

Rasi1610/Deathce502merged_series2_3

--- dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 172807217.0 num_examples: 317 - name: val num_bytes: 43245725.0 num_examples: 80 download_size: 215970660 dataset_size: 216052942.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* ---

cmu-lti/sotopia-pi

--- license: cc-by-sa-4.0 --- For details on how the dataset is used, please refer to https://arxiv.org/pdf/2403.08715. ## inspirational_prompt.csv This csv stores full inspirational prompts from three data sources - `social\_iqa`, `social\_chem`, `normbank`. The prompts are used to generate social tasks used in Sotopia-pi. Each inspirational prompt would generate an "Environment" object in Sotopia-pi that specifies the background of the social task. Each environment would be combined with different agent profiles and relationship to generate a comprehensive Compared to Sotopia's inspirational prompts that include cherry-pick a few examples from 6 datasets (`social\_iqa`, `social\_chem`, `normbank`, `deal-or-no-deal`, `persuation_for_good`, `mindcraft`), we does not include `deal-or-no-deal` and `mindcraft` because we think those inspirational prompt is too similar within one dataset and would cause some leakage if we train on them and test on sotopia ones. We also exclude `persuation_for_good` because we cannnot find the exact form of inspirational prompt that is the same with sotopia's inspirational prompt and the previous mentioed three datasets already provide enough inspirational prompts. ## used_prompt.csv This csv stores all used inspirational prompts, their source dataset, and the corresponding environment object id each prompt generated. To refer to the detail content of the environment by prompt, simply use this csv and find the "pk" of the inspirational prompt. ## experiment_episodes.json This json file store the detailed information for all sotopia-pi conversations. Each conversation is a dictionary with: 1. epsiode_id: the unique id of the conversation 2. scenario: the social environment of which the conversation happens under 3. codename: type of the scenario 4. agents_background: a set of two agent's social profile, including age, secret, personality, etc 5. social_goals: a set of two agent's social goal that each aims to achieve in the conversation 6. social_interactions: a list of turn-based conversations between two agents

enryu43/twitter100m_tweets

--- dataset_info: features: - name: user dtype: string - name: id dtype: int64 - name: tweet dtype: string - name: replies dtype: int64 - name: retweets dtype: int64 - name: likes dtype: int64 - name: quotes dtype: int64 - name: date dtype: string splits: - name: train num_bytes: 20356236942 num_examples: 88084332 download_size: 9614694227 dataset_size: 20356236942 --- # Dataset Card for "twitter100m_tweets" Dataset with tweets for [this post](https://medium.com/@enryu9000/fun-with-large-scale-tweet-analysis-783c96b45df4).

CyberHarem/a2_nikke

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of a2/A2/A2/A2 (Nikke: Goddess of Victory) This is the dataset of a2/A2/A2/A2 (Nikke: Goddess of Victory), containing 476 images and their tags. The core tags of this character are `long_hair, breasts, blue_eyes, mole, mole_under_mouth, white_hair, hair_between_eyes, medium_breasts`, 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 | 476 | 679.01 MiB | [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 476 | 387.98 MiB | [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1038 | 742.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 476 | 604.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1038 | 1.03 GiB | [Download](https://huggingface.co/datasets/CyberHarem/a2_nikke/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/a2_nikke', 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 | 23 | ![](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, android, armlet, bare_shoulders, black_gloves, elbow_gloves, robot_joints, solo, tank_top, black_shorts, short_shorts, looking_at_viewer, black_thighhighs | | 1 | 35 | ![](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, android, black_gloves, elbow_gloves, robot_joints, solo, holding_sword, bare_shoulders, black_shorts, short_shorts, tank_top, looking_at_viewer, armlet, black_thighhighs | | 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, android, bare_shoulders, black_gloves, black_shorts, elbow_gloves, holding_sword, looking_at_viewer, robot_joints, short_shorts, solo, tank_top, armlet, closed_mouth, collarbone, pink_lips, standing, very_long_hair, black_thighhighs, cowboy_shot, bangs, katana, grey_eyes | | 3 | 7 | ![](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, android, bare_shoulders, black_gloves, elbow_gloves, looking_at_viewer, robot_joints, simple_background, solo, tank_top, upper_body, white_background, armlet, parted_lips | | 4 | 6 | ![](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, android, bare_shoulders, black_gloves, collarbone, elbow_gloves, looking_at_viewer, robot_joints, solo, upper_body, closed_mouth, armlet, pink_lips, black_tank_top | | 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, android, ass, bare_shoulders, black_gloves, black_shorts, black_thighhighs, elbow_gloves, from_behind, robot_joints, short_shorts, solo, high_heels, holding_sword, looking_back, standing, full_body, looking_at_viewer, thighs | | 6 | 6 | ![](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, black_dress, black_hairband, black_thighhighs, cleavage_cutout, katana, black_gloves, feather-trimmed_sleeves, holding_sword, juliet_sleeves, looking_at_viewer, short_hair, solo, thigh_boots | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | android | armlet | bare_shoulders | black_gloves | elbow_gloves | robot_joints | solo | tank_top | black_shorts | short_shorts | looking_at_viewer | black_thighhighs | holding_sword | closed_mouth | collarbone | pink_lips | standing | very_long_hair | cowboy_shot | bangs | katana | grey_eyes | simple_background | upper_body | white_background | parted_lips | black_tank_top | ass | from_behind | high_heels | looking_back | full_body | thighs | black_dress | black_hairband | cleavage_cutout | feather-trimmed_sleeves | juliet_sleeves | short_hair | thigh_boots | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:----------|:---------|:-----------------|:---------------|:---------------|:---------------|:-------|:-----------|:---------------|:---------------|:--------------------|:-------------------|:----------------|:---------------|:-------------|:------------|:-----------|:-----------------|:--------------|:--------|:---------|:------------|:--------------------|:-------------|:-------------------|:--------------|:-----------------|:------|:--------------|:-------------|:---------------|:------------|:---------|:--------------|:-----------------|:------------------|:--------------------------|:-----------------|:-------------|:--------------| | 0 | 23 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 35 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | 3 | 7 | ![](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 | | | | | | | | | | | | | | | | 4 | 6 | ![](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 | | | | | | | | | | | | | | | 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 | X | X | X | X | | | | | | | | | 6 | 6 | ![](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 |

stoddur/med_chat_7

--- dataset_info: features: - name: input_ids sequence: int32 - name: labels sequence: int64 splits: - name: train num_bytes: 174024240.0 num_examples: 112710 download_size: 4105947 dataset_size: 174024240.0 --- # Dataset Card for "med_chat_7" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_macadeliccc__Laser-WestLake-2x7b

--- pretty_name: Evaluation run of macadeliccc/Laser-WestLake-2x7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [macadeliccc/Laser-WestLake-2x7b](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b)\ \ 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_macadeliccc__Laser-WestLake-2x7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-27T21:37:13.080453](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Laser-WestLake-2x7b/blob/main/results_2024-01-27T21-37-13.080453.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\": 0.6524530392737511,\n\ \ \"acc_stderr\": 0.032031171056502564,\n \"acc_norm\": 0.6524349886456735,\n\ \ \"acc_norm_stderr\": 0.03269889548892183,\n \"mc1\": 0.5471236230110159,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6924615568479368,\n\ \ \"mc2_stderr\": 0.015144126921968178\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.7005119453924915,\n \"acc_stderr\": 0.01338502163731357,\n\ \ \"acc_norm\": 0.7226962457337884,\n \"acc_norm_stderr\": 0.013082095839059374\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7192790280820553,\n\ \ \"acc_stderr\": 0.004484330827465553,\n \"acc_norm\": 0.8843855805616411,\n\ \ \"acc_norm_stderr\": 0.0031910847927931548\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6444444444444445,\n\ \ \"acc_stderr\": 0.04135176749720385,\n \"acc_norm\": 0.6444444444444445,\n\ \ \"acc_norm_stderr\": 0.04135176749720385\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\": 0.7094339622641509,\n \"acc_stderr\": 0.027943219989337135,\n\ \ \"acc_norm\": 0.7094339622641509,\n \"acc_norm_stderr\": 0.027943219989337135\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness|hendrycksTest-college_mathematics|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_medicine|5\"\ : {\n \"acc\": 0.6705202312138728,\n \"acc_stderr\": 0.03583901754736412,\n\ \ \"acc_norm\": 0.6705202312138728,\n \"acc_norm_stderr\": 0.03583901754736412\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.39215686274509803,\n\ \ \"acc_stderr\": 0.048580835742663454,\n \"acc_norm\": 0.39215686274509803,\n\ \ \"acc_norm_stderr\": 0.048580835742663454\n },\n \"harness|hendrycksTest-computer_security|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.6,\n\ \ \"acc_stderr\": 0.03202563076101737,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.03202563076101737\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.5087719298245614,\n \"acc_stderr\": 0.04702880432049615,\n\ \ \"acc_norm\": 0.5087719298245614,\n \"acc_norm_stderr\": 0.04702880432049615\n\ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n \"\ acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\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\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\ : 0.7838709677419354,\n \"acc_stderr\": 0.02341529343356852,\n \"\ acc_norm\": 0.7838709677419354,\n \"acc_norm_stderr\": 0.02341529343356852\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.49261083743842365,\n \"acc_stderr\": 0.035176035403610084,\n \"\ acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.035176035403610084\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\ : 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.803030303030303,\n \"acc_stderr\": 0.028335609732463362,\n \"\ acc_norm\": 0.803030303030303,\n \"acc_norm_stderr\": 0.028335609732463362\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.02098685459328973,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.02098685459328973\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6692307692307692,\n \"acc_stderr\": 0.02385479568097112,\n \ \ \"acc_norm\": 0.6692307692307692,\n \"acc_norm_stderr\": 0.02385479568097112\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3333333333333333,\n \"acc_stderr\": 0.028742040903948475,\n \ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.028742040903948475\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\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8440366972477065,\n \"acc_stderr\": 0.01555580271359017,\n \"\ acc_norm\": 0.8440366972477065,\n \"acc_norm_stderr\": 0.01555580271359017\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.8382352941176471,\n \"acc_stderr\": 0.025845017986926917,\n\ \ \"acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.025845017986926917\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601446,\n \ \ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601446\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\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\": 0.7962962962962963,\n\ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4375,\n\ \ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \ \ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406957,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406957\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.01354741565866226,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.01354741565866226\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.02370309952525818,\n\ \ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.02370309952525818\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4435754189944134,\n\ \ \"acc_stderr\": 0.01661568040100372,\n \"acc_norm\": 0.4435754189944134,\n\ \ \"acc_norm_stderr\": 0.01661568040100372\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7091503267973857,\n \"acc_stderr\": 0.02600480036395213,\n\ \ \"acc_norm\": 0.7091503267973857,\n \"acc_norm_stderr\": 0.02600480036395213\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.707395498392283,\n\ \ \"acc_stderr\": 0.02583989833487798,\n \"acc_norm\": 0.707395498392283,\n\ \ \"acc_norm_stderr\": 0.02583989833487798\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7314814814814815,\n \"acc_stderr\": 0.02465968518596728,\n\ \ \"acc_norm\": 0.7314814814814815,\n \"acc_norm_stderr\": 0.02465968518596728\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4680573663624511,\n\ \ \"acc_stderr\": 0.012744149704869649,\n \"acc_norm\": 0.4680573663624511,\n\ \ \"acc_norm_stderr\": 0.012744149704869649\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\": 0.6699346405228758,\n \"acc_stderr\": 0.019023726160724553,\n \ \ \"acc_norm\": 0.6699346405228758,\n \"acc_norm_stderr\": 0.019023726160724553\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\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\ \ \"acc_stderr\": 0.025538433368578334,\n \"acc_norm\": 0.845771144278607,\n\ \ \"acc_norm_stderr\": 0.025538433368578334\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5471236230110159,\n\ \ \"mc1_stderr\": 0.01742558984831402,\n \"mc2\": 0.6924615568479368,\n\ \ \"mc2_stderr\": 0.015144126921968178\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8579321231254933,\n \"acc_stderr\": 0.009812000391679364\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6353297952994693,\n \ \ \"acc_stderr\": 0.013258428375662247\n }\n}\n```" repo_url: https://huggingface.co/macadeliccc/Laser-WestLake-2x7b 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_27T21_37_13.080453 path: - '**/details_harness|arc:challenge|25_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-27T21-37-13.080453.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|gsm8k|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hellaswag|10_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-27T21-37-13.080453.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-management|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-27T21-37-13.080453.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|truthfulqa:mc|0_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-27T21-37-13.080453.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_27T21_37_13.080453 path: - '**/details_harness|winogrande|5_2024-01-27T21-37-13.080453.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-27T21-37-13.080453.parquet' - config_name: results data_files: - split: 2024_01_27T21_37_13.080453 path: - results_2024-01-27T21-37-13.080453.parquet - split: latest path: - results_2024-01-27T21-37-13.080453.parquet --- # Dataset Card for Evaluation run of macadeliccc/Laser-WestLake-2x7b  Dataset automatically created during the evaluation run of model [macadeliccc/Laser-WestLake-2x7b](https://huggingface.co/macadeliccc/Laser-WestLake-2x7b) 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_macadeliccc__Laser-WestLake-2x7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-27T21:37:13.080453](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Laser-WestLake-2x7b/blob/main/results_2024-01-27T21-37-13.080453.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": 0.6524530392737511, "acc_stderr": 0.032031171056502564, "acc_norm": 0.6524349886456735, "acc_norm_stderr": 0.03269889548892183, "mc1": 0.5471236230110159, "mc1_stderr": 0.01742558984831402, "mc2": 0.6924615568479368, "mc2_stderr": 0.015144126921968178 }, "harness|arc:challenge|25": { "acc": 0.7005119453924915, "acc_stderr": 0.01338502163731357, "acc_norm": 0.7226962457337884, "acc_norm_stderr": 0.013082095839059374 }, "harness|hellaswag|10": { "acc": 0.7192790280820553, "acc_stderr": 0.004484330827465553, "acc_norm": 0.8843855805616411, "acc_norm_stderr": 0.0031910847927931548 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720385, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720385 }, "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": 0.7094339622641509, "acc_stderr": 0.027943219989337135, "acc_norm": 0.7094339622641509, "acc_norm_stderr": 0.027943219989337135 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.048580835742663454, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.048580835742663454 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6, "acc_stderr": 0.03202563076101737, "acc_norm": 0.6, "acc_norm_stderr": 0.03202563076101737 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "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": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7838709677419354, "acc_stderr": 0.02341529343356852, "acc_norm": 0.7838709677419354, "acc_norm_stderr": 0.02341529343356852 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.49261083743842365, "acc_stderr": 0.035176035403610084, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.035176035403610084 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7757575757575758, "acc_stderr": 0.03256866661681102, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.03256866661681102 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.803030303030303, "acc_stderr": 0.028335609732463362, "acc_norm": 0.803030303030303, "acc_norm_stderr": 0.028335609732463362 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9067357512953368, "acc_stderr": 0.02098685459328973, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.02098685459328973 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6692307692307692, "acc_stderr": 0.02385479568097112, "acc_norm": 0.6692307692307692, "acc_norm_stderr": 0.02385479568097112 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.028742040903948475, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.028742040903948475 }, "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": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8440366972477065, "acc_stderr": 0.01555580271359017, "acc_norm": 0.8440366972477065, "acc_norm_stderr": 0.01555580271359017 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8382352941176471, "acc_stderr": 0.025845017986926917, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.025845017986926917 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7974683544303798, "acc_stderr": 0.026160568246601446, "acc_norm": 0.7974683544303798, "acc_norm_stderr": 0.026160568246601446 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8015267175572519, "acc_stderr": 0.03498149385462472, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.03498149385462472 }, "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": 0.7962962962962963, "acc_stderr": 0.03893542518824847, "acc_norm": 0.7962962962962963, "acc_norm_stderr": 0.03893542518824847 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7668711656441718, "acc_stderr": 0.0332201579577674, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.0332201579577674 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4375, "acc_stderr": 0.04708567521880525, "acc_norm": 0.4375, "acc_norm_stderr": 0.04708567521880525 }, "harness|hendrycksTest-management|5": { "acc": 0.7766990291262136, "acc_stderr": 0.04123553189891431, "acc_norm": 0.7766990291262136, "acc_norm_stderr": 0.04123553189891431 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406957, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406957 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8263090676883781, "acc_stderr": 0.01354741565866226, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.01354741565866226 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7369942196531792, "acc_stderr": 0.02370309952525818, "acc_norm": 0.7369942196531792, "acc_norm_stderr": 0.02370309952525818 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4435754189944134, "acc_stderr": 0.01661568040100372, "acc_norm": 0.4435754189944134, "acc_norm_stderr": 0.01661568040100372 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7091503267973857, "acc_stderr": 0.02600480036395213, "acc_norm": 0.7091503267973857, "acc_norm_stderr": 0.02600480036395213 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.707395498392283, "acc_stderr": 0.02583989833487798, "acc_norm": 0.707395498392283, "acc_norm_stderr": 0.02583989833487798 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7314814814814815, "acc_stderr": 0.02465968518596728, "acc_norm": 0.7314814814814815, "acc_norm_stderr": 0.02465968518596728 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4929078014184397, "acc_stderr": 0.02982449855912901, "acc_norm": 0.4929078014184397, "acc_norm_stderr": 0.02982449855912901 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4680573663624511, "acc_stderr": 0.012744149704869649, "acc_norm": 0.4680573663624511, "acc_norm_stderr": 0.012744149704869649 }, "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": 0.6699346405228758, "acc_stderr": 0.019023726160724553, "acc_norm": 0.6699346405228758, "acc_norm_stderr": 0.019023726160724553 }, "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": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.845771144278607, "acc_stderr": 0.025538433368578334, "acc_norm": 0.845771144278607, "acc_norm_stderr": 0.025538433368578334 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness|hendrycksTest-virology|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685516, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685516 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.5471236230110159, "mc1_stderr": 0.01742558984831402, "mc2": 0.6924615568479368, "mc2_stderr": 0.015144126921968178 }, "harness|winogrande|5": { "acc": 0.8579321231254933, "acc_stderr": 0.009812000391679364 }, "harness|gsm8k|5": { "acc": 0.6353297952994693, "acc_stderr": 0.013258428375662247 } } ``` ## 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]

abideen/lex-0.1

--- dataset_info: features: - name: questions dtype: string - name: answers dtype: string splits: - name: train num_bytes: 824214090 num_examples: 378246 download_size: 435250193 dataset_size: 824214090 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_linlinlin__zephy_SFT_Hermes

--- pretty_name: Evaluation run of linlinlin/zephy_SFT_Hermes dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [linlinlin/zephy_SFT_Hermes](https://huggingface.co/linlinlin/zephy_SFT_Hermes)\ \ 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_linlinlin__zephy_SFT_Hermes\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-11T19:07:56.840567](https://huggingface.co/datasets/open-llm-leaderboard/details_linlinlin__zephy_SFT_Hermes/blob/main/results_2024-03-11T19-07-56.840567.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\": 0.6347543492968393,\n\ \ \"acc_stderr\": 0.03219682236802622,\n \"acc_norm\": 0.6408300570930421,\n\ \ \"acc_norm_stderr\": 0.032843811369361584,\n \"mc1\": 0.2827417380660955,\n\ \ \"mc1_stderr\": 0.015764770836777308,\n \"mc2\": 0.42171719347199227,\n\ \ \"mc2_stderr\": 0.014135019592668293\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5674061433447098,\n \"acc_stderr\": 0.014478005694182528,\n\ \ \"acc_norm\": 0.6032423208191127,\n \"acc_norm_stderr\": 0.014296513020180644\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6292571200955985,\n\ \ \"acc_stderr\": 0.004820166002253078,\n \"acc_norm\": 0.833698466440948,\n\ \ \"acc_norm_stderr\": 0.0037159010850549893\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\ \ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\ \ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316091,\n\ \ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316091\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.028637235639800893,\n\ \ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.028637235639800893\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7291666666666666,\n\ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.7291666666666666,\n\ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n\ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|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-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\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201942,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201942\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5787234042553191,\n \"acc_stderr\": 0.03227834510146268,\n\ \ \"acc_norm\": 0.5787234042553191,\n \"acc_norm_stderr\": 0.03227834510146268\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\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\": 0.3888888888888889,\n\ \ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ \ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7774193548387097,\n\ \ \"acc_stderr\": 0.023664216671642514,\n \"acc_norm\": 0.7774193548387097,\n\ \ \"acc_norm_stderr\": 0.023664216671642514\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.032250781083062896,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.032250781083062896\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.0303137105381989,\n \"acc_norm\"\ : 0.7626262626262627,\n \"acc_norm_stderr\": 0.0303137105381989\n },\n\ \ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ \ \"acc\": 0.8652849740932642,\n \"acc_stderr\": 0.02463978909770944,\n\ \ \"acc_norm\": 0.8652849740932642,\n \"acc_norm_stderr\": 0.02463978909770944\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313036,\n\ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313036\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.35185185185185186,\n \"acc_stderr\": 0.02911661760608301,\n \ \ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.02911661760608301\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6680672268907563,\n \"acc_stderr\": 0.03058869701378364,\n \ \ \"acc_norm\": 0.6680672268907563,\n \"acc_norm_stderr\": 0.03058869701378364\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8220183486238533,\n \"acc_stderr\": 0.016399436366612924,\n \"\ acc_norm\": 0.8220183486238533,\n \"acc_norm_stderr\": 0.016399436366612924\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5555555555555556,\n \"acc_stderr\": 0.03388857118502325,\n \"\ acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.03388857118502325\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7941176470588235,\n \"acc_stderr\": 0.028379449451588667,\n \"\ acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.028379449451588667\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7637130801687764,\n \"acc_stderr\": 0.02765215314415927,\n \ \ \"acc_norm\": 0.7637130801687764,\n \"acc_norm_stderr\": 0.02765215314415927\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159463,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159463\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7914110429447853,\n \"acc_stderr\": 0.031921934489347235,\n\ \ \"acc_norm\": 0.7914110429447853,\n \"acc_norm_stderr\": 0.031921934489347235\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5178571428571429,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.5178571428571429,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.036756688322331886,\n\ \ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.036756688322331886\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077823,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077823\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8186462324393359,\n\ \ \"acc_stderr\": 0.013778693778464076,\n \"acc_norm\": 0.8186462324393359,\n\ \ \"acc_norm_stderr\": 0.013778693778464076\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7167630057803468,\n \"acc_stderr\": 0.024257901705323378,\n\ \ \"acc_norm\": 0.7167630057803468,\n \"acc_norm_stderr\": 0.024257901705323378\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.31620111731843575,\n\ \ \"acc_stderr\": 0.015551673652172552,\n \"acc_norm\": 0.31620111731843575,\n\ \ \"acc_norm_stderr\": 0.015551673652172552\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.02463004897982478,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.02463004897982478\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6881028938906752,\n\ \ \"acc_stderr\": 0.02631185807185416,\n \"acc_norm\": 0.6881028938906752,\n\ \ \"acc_norm_stderr\": 0.02631185807185416\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7345679012345679,\n \"acc_stderr\": 0.024569223600460845,\n\ \ \"acc_norm\": 0.7345679012345679,\n \"acc_norm_stderr\": 0.024569223600460845\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.475177304964539,\n \"acc_stderr\": 0.02979071924382972,\n \ \ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.02979071924382972\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.01272570165695364,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.01272570165695364\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.0286619962023353,\n\ \ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.0286619962023353\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6813725490196079,\n \"acc_stderr\": 0.01885008469646872,\n \ \ \"acc_norm\": 0.6813725490196079,\n \"acc_norm_stderr\": 0.01885008469646872\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.026508590656233264,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.026508590656233264\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.038695433234721015,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.038695433234721015\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160896,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160896\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2827417380660955,\n\ \ \"mc1_stderr\": 0.015764770836777308,\n \"mc2\": 0.42171719347199227,\n\ \ \"mc2_stderr\": 0.014135019592668293\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7805840568271507,\n \"acc_stderr\": 0.01163126836060778\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3707354056103108,\n \ \ \"acc_stderr\": 0.013304267705458431\n }\n}\n```" repo_url: https://huggingface.co/linlinlin/zephy_SFT_Hermes 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_11T19_07_56.840567 path: - '**/details_harness|arc:challenge|25_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-11T19-07-56.840567.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|gsm8k|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hellaswag|10_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-11T19-07-56.840567.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-management|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-11T19-07-56.840567.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|truthfulqa:mc|0_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-11T19-07-56.840567.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_11T19_07_56.840567 path: - '**/details_harness|winogrande|5_2024-03-11T19-07-56.840567.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-11T19-07-56.840567.parquet' - config_name: results data_files: - split: 2024_03_11T19_07_56.840567 path: - results_2024-03-11T19-07-56.840567.parquet - split: latest path: - results_2024-03-11T19-07-56.840567.parquet --- # Dataset Card for Evaluation run of linlinlin/zephy_SFT_Hermes  Dataset automatically created during the evaluation run of model [linlinlin/zephy_SFT_Hermes](https://huggingface.co/linlinlin/zephy_SFT_Hermes) 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_linlinlin__zephy_SFT_Hermes", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-11T19:07:56.840567](https://huggingface.co/datasets/open-llm-leaderboard/details_linlinlin__zephy_SFT_Hermes/blob/main/results_2024-03-11T19-07-56.840567.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": 0.6347543492968393, "acc_stderr": 0.03219682236802622, "acc_norm": 0.6408300570930421, "acc_norm_stderr": 0.032843811369361584, "mc1": 0.2827417380660955, "mc1_stderr": 0.015764770836777308, "mc2": 0.42171719347199227, "mc2_stderr": 0.014135019592668293 }, "harness|arc:challenge|25": { "acc": 0.5674061433447098, "acc_stderr": 0.014478005694182528, "acc_norm": 0.6032423208191127, "acc_norm_stderr": 0.014296513020180644 }, "harness|hellaswag|10": { "acc": 0.6292571200955985, "acc_stderr": 0.004820166002253078, "acc_norm": 0.833698466440948, "acc_norm_stderr": 0.0037159010850549893 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6222222222222222, "acc_stderr": 0.04188307537595852, "acc_norm": 0.6222222222222222, "acc_norm_stderr": 0.04188307537595852 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6578947368421053, "acc_stderr": 0.03860731599316091, "acc_norm": 0.6578947368421053, "acc_norm_stderr": 0.03860731599316091 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6830188679245283, "acc_stderr": 0.028637235639800893, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.028637235639800893 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7291666666666666, "acc_stderr": 0.03716177437566017, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.03716177437566017 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "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": 0.3333333333333333, "acc_stderr": 0.04690650298201942, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04690650298201942 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5787234042553191, "acc_stderr": 0.03227834510146268, "acc_norm": 0.5787234042553191, "acc_norm_stderr": 0.03227834510146268 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "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": 0.3888888888888889, "acc_stderr": 0.04360314860077459, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04360314860077459 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7774193548387097, "acc_stderr": 0.023664216671642514, "acc_norm": 0.7774193548387097, "acc_norm_stderr": 0.023664216671642514 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5024630541871922, "acc_stderr": 0.035179450386910616, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.035179450386910616 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7818181818181819, "acc_stderr": 0.032250781083062896, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.032250781083062896 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7626262626262627, "acc_stderr": 0.0303137105381989, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.0303137105381989 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8652849740932642, "acc_stderr": 0.02463978909770944, "acc_norm": 0.8652849740932642, "acc_norm_stderr": 0.02463978909770944 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6615384615384615, "acc_stderr": 0.023991500500313036, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.023991500500313036 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.35185185185185186, "acc_stderr": 0.02911661760608301, "acc_norm": 0.35185185185185186, "acc_norm_stderr": 0.02911661760608301 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6680672268907563, "acc_stderr": 0.03058869701378364, "acc_norm": 0.6680672268907563, "acc_norm_stderr": 0.03058869701378364 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8220183486238533, "acc_stderr": 0.016399436366612924, "acc_norm": 0.8220183486238533, "acc_norm_stderr": 0.016399436366612924 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5555555555555556, "acc_stderr": 0.03388857118502325, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.03388857118502325 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7941176470588235, "acc_stderr": 0.028379449451588667, "acc_norm": 0.7941176470588235, "acc_norm_stderr": 0.028379449451588667 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7637130801687764, "acc_stderr": 0.02765215314415927, "acc_norm": 0.7637130801687764, "acc_norm_stderr": 0.02765215314415927 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159463, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159463 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7914110429447853, "acc_stderr": 0.031921934489347235, "acc_norm": 0.7914110429447853, "acc_norm_stderr": 0.031921934489347235 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5178571428571429, "acc_stderr": 0.047427623612430116, "acc_norm": 0.5178571428571429, "acc_norm_stderr": 0.047427623612430116 }, "harness|hendrycksTest-management|5": { "acc": 0.8349514563106796, "acc_stderr": 0.036756688322331886, "acc_norm": 0.8349514563106796, "acc_norm_stderr": 0.036756688322331886 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077823, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077823 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8186462324393359, "acc_stderr": 0.013778693778464076, "acc_norm": 0.8186462324393359, "acc_norm_stderr": 0.013778693778464076 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7167630057803468, "acc_stderr": 0.024257901705323378, "acc_norm": 0.7167630057803468, "acc_norm_stderr": 0.024257901705323378 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.31620111731843575, "acc_stderr": 0.015551673652172552, "acc_norm": 0.31620111731843575, "acc_norm_stderr": 0.015551673652172552 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7549019607843137, "acc_stderr": 0.02463004897982478, "acc_norm": 0.7549019607843137, "acc_norm_stderr": 0.02463004897982478 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6881028938906752, "acc_stderr": 0.02631185807185416, "acc_norm": 0.6881028938906752, "acc_norm_stderr": 0.02631185807185416 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7345679012345679, "acc_stderr": 0.024569223600460845, "acc_norm": 0.7345679012345679, "acc_norm_stderr": 0.024569223600460845 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.475177304964539, "acc_stderr": 0.02979071924382972, "acc_norm": 0.475177304964539, "acc_norm_stderr": 0.02979071924382972 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.45827900912646674, "acc_stderr": 0.01272570165695364, "acc_norm": 0.45827900912646674, "acc_norm_stderr": 0.01272570165695364 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6654411764705882, "acc_stderr": 0.0286619962023353, "acc_norm": 0.6654411764705882, "acc_norm_stderr": 0.0286619962023353 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6813725490196079, "acc_stderr": 0.01885008469646872, "acc_norm": 0.6813725490196079, "acc_norm_stderr": 0.01885008469646872 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302506, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302506 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8308457711442786, "acc_stderr": 0.026508590656233264, "acc_norm": 0.8308457711442786, "acc_norm_stderr": 0.026508590656233264 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness|hendrycksTest-virology|5": { "acc": 0.5542168674698795, "acc_stderr": 0.038695433234721015, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.038695433234721015 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8421052631578947, "acc_stderr": 0.027966785859160896, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160896 }, "harness|truthfulqa:mc|0": { "mc1": 0.2827417380660955, "mc1_stderr": 0.015764770836777308, "mc2": 0.42171719347199227, "mc2_stderr": 0.014135019592668293 }, "harness|winogrande|5": { "acc": 0.7805840568271507, "acc_stderr": 0.01163126836060778 }, "harness|gsm8k|5": { "acc": 0.3707354056103108, "acc_stderr": 0.013304267705458431 } } ``` ## 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]

justinsiow/fathomnet-test

--- dataset_info: features: - name: image dtype: image - name: image_id dtype: int64 - name: width dtype: int64 - name: height dtype: int64 splits: - name: test num_bytes: 22257603152.424 num_examples: 10744 download_size: 22919610639 dataset_size: 22257603152.424 --- # Dataset Card for "fathomnet-test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/kamado_nezuko_demonslayer

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of kamado_nezuko (Kimetsu no Yaiba) This is the dataset of kamado_nezuko (Kimetsu no Yaiba), containing 200 images and their tags. 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)).

KentoTsu/EliseRato

--- license: openrail ---

tarudesu/ViHealthQA

--- task_categories: - question-answering language: - vi tags: - medical pretty_name: Vietnamese Healthcare Question Answering Dataset size_categories: - 10K<n<100K --- ## Disclaimer: The dataset may contain personal information crawled along with the contents of various sources. Please make a filter in pre-processing data before starting your research training. # SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts This is the official repository for the ViHealthQA dataset from the paper [SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts](https://arxiv.org/pdf/2206.09600.pdf), which was accepted at the [KSEM-2022](https://ksem22.smart-conf.net/index.html). # Citation Information The provided dataset is only used for research purposes! ``` @InProceedings{nguyen2022viheathqa, author="Nguyen, Nhung Thi-Hong and Ha, Phuong Phan-Dieu and Nguyen, Luan Thanh and Van Nguyen, Kiet and Nguyen, Ngan Luu-Thuy", title="SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts", booktitle="Knowledge Science, Engineering and Management", year="2022", publisher="Springer International Publishing", address="Cham", pages="371--382", isbn="978-3-031-10986-7" } ``` # Abstract Question answering (QA) systems have gained explosive attention in recent years. However, QA tasks in Vietnamese do not have many datasets. Significantly, there is mostly no dataset in the medical domain. Therefore, we built a Vietnamese Healthcare Question Answering dataset (ViHealthQA), including 10,015 question-answer passage pairs for this task, in which questions from health-interested users were asked on prestigious health websites and answers from highly qualified experts. This paper proposes a two-stage QA system based on Sentence-BERT (SBERT) using multiple negatives ranking (MNR) loss combined with BM25. Then, we conduct diverse experiments with many bag-of-words models to assess our system’s performance. With the obtained results, this system achieves better performance than traditional methods. # Dataset The ViHealthQA dataset is consist of 10,015 question-answer passage pairs. Note that questions are from health-interested users asked on prestigious health websites and answers are from highly qualified experts. The dataset is divided into three parts as below: 1. Train set: 7.01K question-answer pairs 2. Valid set: 2.01 question-answer pairs 3. Test set: 993 question-answer pairs # Contact Please feel free to contact us by email luannt@uit.edu.vn if you have any further information!

dim/ru_turbo_alpaca_evol_instruct_3k

--- license: mit dataset_info: features: - name: instruction dtype: string - name: output dtype: string - name: iteration dtype: int64 splits: - name: train num_bytes: 6677510 num_examples: 3000 download_size: 3214805 dataset_size: 6677510 ---

argilla/databricks-dolly-15k-curated-multilingual

--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string - name: instruction_original_en dtype: string - name: context_original_en dtype: string - name: response_original_en dtype: string - name: id dtype: int64 splits: - name: de num_bytes: 25985140 num_examples: 15015 - name: en num_bytes: 24125109 num_examples: 15015 - name: es num_bytes: 25902709 num_examples: 15015 - name: fr num_bytes: 26704314 num_examples: 15015 download_size: 65586669 dataset_size: 102717272 license: cc-by-sa-3.0 task_categories: - text-generation - text2text-generation language: - es - de - fr tags: - machine-translated - instruction-following pretty_name: Databrick Dolly Instructions Multilingual size_categories: - 10K<n<100K --- # Dataset Card for "databricks-dolly-15k-curated-multilingual" A curated and multilingual version of the Databricks Dolly instructions dataset. It includes a programmatically and manually corrected version of the original `en` dataset. See below. **STATUS**: Currently, the original Dolly v2 English version has been curated combining automatic processing and collaborative human curation using Argilla (~400 records have been manually edited and fixed). The following graph shows a summary about the number of edited fields. ![Edited records](edited_records.png) ## 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: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/** - **Repository: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/** - **Paper:** - **Leaderboard:** - **Point of Contact: contact@argilla.io, https://github.com/argilla-io/argilla** ### Dataset Summary This dataset collection is a curated and machine-translated version of the `databricks-dolly-15k` [dataset](https://github.com/databrickslabs/dolly/tree/master/data) originally created by Databricks, Inc. in 2023. The goal is to give practitioners a starting point for training open-source instruction-following models with better-quality English data and translated data beyond English. However, as the translation quality will not be perfect, we highly recommend dedicating time to curate and fix translation issues. Below we explain how to load the datasets into [Argilla for data curation and fixing](https://github.com/argilla-io/argilla). Additionally, we'll be improving the datasets made available here, with the help of different communities. Currently, the original English version has been curated combining automatic processing and collaborative human curation using Argilla (~400 records have been manually edited and fixed). The following graph shows a summary of the number of edited fields. The main issues (likely many issues still remaining) are the following: 1. Some labelers misunderstood the usage of the `context` field. This `context` field is used as part of the prompt for instruction-tuning and in other works it's called `input` (e.g., Alpaca). Likely, the name context, has led to some labelers using it to provide the full context of where they have extracted the response. This is problematic for some types of tasks (summarization, closed-qa or information-extraction) because sometimes the context is shorter than or unrelated to summaries, or the information cannot be extracted from the context (closed-qa, information-extraction). 2. Some labelers misunderstood the way to give instructions for summarization or closed-qa, for example, they ask: Who is Thomas Jefferson? then provide a very long context and a response equally long. We programmatically identified records with these potential issues and ran a campaign to fix it and as a result more than 400 records have been adapted. See below for statistics: ![Edited records](edited_records.png) As a result of this curation process the content of the fields has been reduced, counted in number of tokens, especially for the responses: ![Edited records](tokens_diff.png) If you want to browse and curate your dataset with Argilla, you can: 1. [Duplicate this Space](https://huggingface.co/spaces/argilla/dolly-multilingual-curation/settings?duplicate=true). IMPORTANT: The Space's Visibility need to be Public, but you can setup your own password and API KEYS [following this guide](https://docs.argilla.io/en/latest/getting_started/installation/deployments/huggingface-spaces.html#setting-up-secret-environment-variables). 2. Setup two secrets: `HF_TOKEN` and `LANG` for indicating the language split 3. Login with `admin`/`12345678` and start browsing and labelling. 4. Start labeling. Every 5 min the validations will be stored on a Hub dataset in your personal HF space. 5. Please get in touch to contribute fixes and improvements to the source datasets. There's one split per language: ```python from datasets import load_dataset # loads all splits load_dataset("argilla/databricks-dolly-15k-curate-multilingual") # loads Spanish splits load_dataset("argilla/databricks-dolly-15k-curated-multilingual", split="es") ``` ### Supported Tasks and Leaderboards As described in the README of the original dataset, this dataset can be used for: * Training LLMs * Synthetic Data Generation * Data Augmentation ### Languages Currently: `es`, `fr`, `de`, `en` Join Argilla [Slack community](https://join.slack.com/t/rubrixworkspace/shared_invite/zt-whigkyjn-a3IUJLD7gDbTZ0rKlvcJ5g) if you want to help us include other languages. ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits There's one split per language: ```python from datasets import load_dataset # loads all splits load_dataset("argilla/databricks-dolly-15k-multilingual") # loads Spanish splits load_dataset("argilla/databricks-dolly-15k-multilingual", split="es") ``` ## Dataset Creation These datasets have been translated using the DeepL API from the original English dataset between the 13th and 14th of April ### Curation Logbook * 28/04/23: Removed references from Wikipedia copy pastes for 8113 rows. Applied to context and response fields with the following regex: `r'\[[\w]+\]'` ### Source Data #### Initial Data Collection and Normalization Refer to the [original dataset](https://github.com/databrickslabs/dolly/tree/master/data) for more information. #### Who are the source language producers? [More Information Needed] ### Annotations Annotations are planned but not performed yet. #### 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 This dataset can be used for any purpose, whether academic or commercial, under the terms of the [Creative Commons Attribution-ShareAlike 3.0 Unported License](https://creativecommons.org/licenses/by-sa/3.0/legalcode). **Original dataset Owner: Databricks, Inc.** ### Citation Information [More Information Needed]

NathanRoll/TalkBank_CA_CABNC_5

--- dataset_info: features: - name: audio sequence: float32 - name: __index_level_0__ dtype: string splits: - name: train num_bytes: 17917023985 num_examples: 99 download_size: 17934314304 dataset_size: 17917023985 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "TalkBank_CA_CABNC_5" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ongknsro/nekos-nonnekos

--- task_categories: - image-classification pretty_name: neko or non_neko size_categories: - 1K<n<10K --- A dataset of SD-generated images of anime neko characters vs. non_neko characters.

open-llm-leaderboard/details_LLMs__WizardLM-30B-V1.0

--- pretty_name: Evaluation run of LLMs/WizardLM-30B-V1.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [LLMs/WizardLM-30B-V1.0](https://huggingface.co/LLMs/WizardLM-30B-V1.0) 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 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_LLMs__WizardLM-30B-V1.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-30T02:37:12.561310](https://huggingface.co/datasets/open-llm-leaderboard/details_LLMs__WizardLM-30B-V1.0/blob/main/results_2023-10-30T02-37-12.561310.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\": 0.286493288590604,\n\ \ \"em_stderr\": 0.0046301590416793666,\n \"f1\": 0.3621350671140946,\n\ \ \"f1_stderr\": 0.00452241220066869,\n \"acc\": 0.4967032138503913,\n\ \ \"acc_stderr\": 0.011557270415432395\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.286493288590604,\n \"em_stderr\": 0.0046301590416793666,\n\ \ \"f1\": 0.3621350671140946,\n \"f1_stderr\": 0.00452241220066869\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.21834723275208492,\n \ \ \"acc_stderr\": 0.011379497266738049\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7750591949486977,\n \"acc_stderr\": 0.011735043564126742\n\ \ }\n}\n```" repo_url: https://huggingface.co/LLMs/WizardLM-30B-V1.0 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_36_33.189763 path: - '**/details_harness|arc:challenge|25_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-22T13:36:33.189763.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_17T07_27_45.879930 path: - '**/details_harness|drop|3_2023-10-17T07-27-45.879930.parquet' - split: 2023_10_30T02_37_12.561310 path: - '**/details_harness|drop|3_2023-10-30T02-37-12.561310.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-30T02-37-12.561310.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_17T07_27_45.879930 path: - '**/details_harness|gsm8k|5_2023-10-17T07-27-45.879930.parquet' - split: 2023_10_30T02_37_12.561310 path: - '**/details_harness|gsm8k|5_2023-10-30T02-37-12.561310.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-30T02-37-12.561310.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hellaswag|10_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:36:33.189763.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-22T13:36:33.189763.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_22T13_36_33.189763 path: - '**/details_harness|truthfulqa:mc|0_2023-08-22T13:36:33.189763.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-22T13:36:33.189763.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_17T07_27_45.879930 path: - '**/details_harness|winogrande|5_2023-10-17T07-27-45.879930.parquet' - split: 2023_10_30T02_37_12.561310 path: - '**/details_harness|winogrande|5_2023-10-30T02-37-12.561310.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-30T02-37-12.561310.parquet' - config_name: results data_files: - split: 2023_10_17T07_27_45.879930 path: - results_2023-10-17T07-27-45.879930.parquet - split: 2023_10_30T02_37_12.561310 path: - results_2023-10-30T02-37-12.561310.parquet - split: latest path: - results_2023-10-30T02-37-12.561310.parquet --- # Dataset Card for Evaluation run of LLMs/WizardLM-30B-V1.0 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/LLMs/WizardLM-30B-V1.0 - **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 [LLMs/WizardLM-30B-V1.0](https://huggingface.co/LLMs/WizardLM-30B-V1.0) 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 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_LLMs__WizardLM-30B-V1.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-30T02:37:12.561310](https://huggingface.co/datasets/open-llm-leaderboard/details_LLMs__WizardLM-30B-V1.0/blob/main/results_2023-10-30T02-37-12.561310.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": 0.286493288590604, "em_stderr": 0.0046301590416793666, "f1": 0.3621350671140946, "f1_stderr": 0.00452241220066869, "acc": 0.4967032138503913, "acc_stderr": 0.011557270415432395 }, "harness|drop|3": { "em": 0.286493288590604, "em_stderr": 0.0046301590416793666, "f1": 0.3621350671140946, "f1_stderr": 0.00452241220066869 }, "harness|gsm8k|5": { "acc": 0.21834723275208492, "acc_stderr": 0.011379497266738049 }, "harness|winogrande|5": { "acc": 0.7750591949486977, "acc_stderr": 0.011735043564126742 } } ``` ### 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]

Zexuan/soc_data

--- license: apache-2.0 task_categories: - text-classification tags: - finance pretty_name: job posting occupation classification size_categories: - 10M<n<100M ---

boborr/twil

--- license: openrail ---

open-llm-leaderboard/details_hongzoh__Yi-6B_Open-Orca

--- pretty_name: Evaluation run of hongzoh/Yi-6B_Open-Orca dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [hongzoh/Yi-6B_Open-Orca](https://huggingface.co/hongzoh/Yi-6B_Open-Orca) 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_hongzoh__Yi-6B_Open-Orca\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-30T16:23:51.884120](https://huggingface.co/datasets/open-llm-leaderboard/details_hongzoh__Yi-6B_Open-Orca/blob/main/results_2024-03-30T16-23-51.884120.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\": 0.5717858475028725,\n\ \ \"acc_stderr\": 0.033155143858099624,\n \"acc_norm\": 0.5813524540566153,\n\ \ \"acc_norm_stderr\": 0.033897650897487565,\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38629872708898366,\n\ \ \"mc2_stderr\": 0.013894111895665723\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.45819112627986347,\n \"acc_stderr\": 0.014560220308714695,\n\ \ \"acc_norm\": 0.5119453924914675,\n \"acc_norm_stderr\": 0.014607220340597167\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.4929296952798247,\n\ \ \"acc_stderr\": 0.004989282516055395,\n \"acc_norm\": 0.6959768970324637,\n\ \ \"acc_norm_stderr\": 0.0045905235720580155\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5037037037037037,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.5037037037037037,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.5921052631578947,\n \"acc_stderr\": 0.039993097127774734,\n\ \ \"acc_norm\": 0.5921052631578947,\n \"acc_norm_stderr\": 0.039993097127774734\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6150943396226415,\n \"acc_stderr\": 0.02994649856769995,\n\ \ \"acc_norm\": 0.6150943396226415,\n \"acc_norm_stderr\": 0.02994649856769995\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6597222222222222,\n\ \ \"acc_stderr\": 0.039621355734862175,\n \"acc_norm\": 0.6597222222222222,\n\ \ \"acc_norm_stderr\": 0.039621355734862175\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.43,\n\ \ \"acc_norm_stderr\": 0.049756985195624284\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\": 0.5722543352601156,\n\ \ \"acc_stderr\": 0.037724468575180276,\n \"acc_norm\": 0.5722543352601156,\n\ \ \"acc_norm_stderr\": 0.037724468575180276\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062947,\n\ \ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062947\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.502127659574468,\n \"acc_stderr\": 0.03268572658667492,\n\ \ \"acc_norm\": 0.502127659574468,\n \"acc_norm_stderr\": 0.03268572658667492\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.044346007015849245,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.044346007015849245\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.041546596717075474,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.041546596717075474\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.35714285714285715,\n \"acc_stderr\": 0.024677862841332783,\n \"\ acc_norm\": 0.35714285714285715,\n \"acc_norm_stderr\": 0.024677862841332783\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.38095238095238093,\n\ \ \"acc_stderr\": 0.04343525428949097,\n \"acc_norm\": 0.38095238095238093,\n\ \ \"acc_norm_stderr\": 0.04343525428949097\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.7516129032258064,\n\ \ \"acc_stderr\": 0.02458002892148101,\n \"acc_norm\": 0.7516129032258064,\n\ \ \"acc_norm_stderr\": 0.02458002892148101\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.03517603540361008,\n\ \ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.03517603540361008\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \"acc_norm\"\ : 0.58,\n \"acc_norm_stderr\": 0.04960449637488583\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6909090909090909,\n \"acc_stderr\": 0.036085410115739666,\n\ \ \"acc_norm\": 0.6909090909090909,\n \"acc_norm_stderr\": 0.036085410115739666\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586804,\n \"\ acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586804\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7875647668393783,\n \"acc_stderr\": 0.029519282616817227,\n\ \ \"acc_norm\": 0.7875647668393783,\n \"acc_norm_stderr\": 0.029519282616817227\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5794871794871795,\n \"acc_stderr\": 0.02502861027671086,\n \ \ \"acc_norm\": 0.5794871794871795,\n \"acc_norm_stderr\": 0.02502861027671086\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.25925925925925924,\n \"acc_stderr\": 0.02671924078371216,\n \ \ \"acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.02671924078371216\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.03068473711513537,\n \ \ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.03068473711513537\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7944954128440367,\n \"acc_stderr\": 0.017324352325016022,\n \"\ acc_norm\": 0.7944954128440367,\n \"acc_norm_stderr\": 0.017324352325016022\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.47685185185185186,\n \"acc_stderr\": 0.03406315360711507,\n \"\ acc_norm\": 0.47685185185185186,\n \"acc_norm_stderr\": 0.03406315360711507\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7107843137254902,\n \"acc_stderr\": 0.031822318676475524,\n \"\ acc_norm\": 0.7107843137254902,\n \"acc_norm_stderr\": 0.031822318676475524\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7215189873417721,\n \"acc_stderr\": 0.029178682304842548,\n \ \ \"acc_norm\": 0.7215189873417721,\n \"acc_norm_stderr\": 0.029178682304842548\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6367713004484304,\n\ \ \"acc_stderr\": 0.032277904428505,\n \"acc_norm\": 0.6367713004484304,\n\ \ \"acc_norm_stderr\": 0.032277904428505\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864907,\n\ \ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864907\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7177914110429447,\n \"acc_stderr\": 0.03536117886664743,\n\ \ \"acc_norm\": 0.7177914110429447,\n \"acc_norm_stderr\": 0.03536117886664743\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.33035714285714285,\n\ \ \"acc_stderr\": 0.044642857142857116,\n \"acc_norm\": 0.33035714285714285,\n\ \ \"acc_norm_stderr\": 0.044642857142857116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531772,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531772\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8418803418803419,\n\ \ \"acc_stderr\": 0.023902325549560396,\n \"acc_norm\": 0.8418803418803419,\n\ \ \"acc_norm_stderr\": 0.023902325549560396\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\": 0.7177522349936143,\n\ \ \"acc_stderr\": 0.01609530296987855,\n \"acc_norm\": 0.7177522349936143,\n\ \ \"acc_norm_stderr\": 0.01609530296987855\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6676300578034682,\n \"acc_stderr\": 0.02536116874968823,\n\ \ \"acc_norm\": 0.6676300578034682,\n \"acc_norm_stderr\": 0.02536116874968823\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3463687150837989,\n\ \ \"acc_stderr\": 0.015913546784020117,\n \"acc_norm\": 0.3463687150837989,\n\ \ \"acc_norm_stderr\": 0.015913546784020117\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6339869281045751,\n \"acc_stderr\": 0.027582811415159617,\n\ \ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.027582811415159617\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6688102893890675,\n\ \ \"acc_stderr\": 0.026730620728004913,\n \"acc_norm\": 0.6688102893890675,\n\ \ \"acc_norm_stderr\": 0.026730620728004913\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6327160493827161,\n \"acc_stderr\": 0.026822801759507894,\n\ \ \"acc_norm\": 0.6327160493827161,\n \"acc_norm_stderr\": 0.026822801759507894\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291488,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291488\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4335071707953064,\n\ \ \"acc_stderr\": 0.012656810383983969,\n \"acc_norm\": 0.4335071707953064,\n\ \ \"acc_norm_stderr\": 0.012656810383983969\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.4963235294117647,\n \"acc_stderr\": 0.030372015885428195,\n\ \ \"acc_norm\": 0.4963235294117647,\n \"acc_norm_stderr\": 0.030372015885428195\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6078431372549019,\n \"acc_stderr\": 0.019751726508762637,\n \ \ \"acc_norm\": 0.6078431372549019,\n \"acc_norm_stderr\": 0.019751726508762637\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5727272727272728,\n\ \ \"acc_stderr\": 0.04738198703545483,\n \"acc_norm\": 0.5727272727272728,\n\ \ \"acc_norm_stderr\": 0.04738198703545483\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\": 0.7711442786069652,\n\ \ \"acc_stderr\": 0.029705284056772436,\n \"acc_norm\": 0.7711442786069652,\n\ \ \"acc_norm_stderr\": 0.029705284056772436\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42771084337349397,\n\ \ \"acc_stderr\": 0.038515976837185335,\n \"acc_norm\": 0.42771084337349397,\n\ \ \"acc_norm_stderr\": 0.038515976837185335\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7719298245614035,\n \"acc_stderr\": 0.032180937956023566,\n\ \ \"acc_norm\": 0.7719298245614035,\n \"acc_norm_stderr\": 0.032180937956023566\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.25091799265605874,\n\ \ \"mc1_stderr\": 0.015176985027707687,\n \"mc2\": 0.38629872708898366,\n\ \ \"mc2_stderr\": 0.013894111895665723\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7040252565114443,\n \"acc_stderr\": 0.012829348226339006\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.13191811978771797,\n \ \ \"acc_stderr\": 0.009321265253857517\n }\n}\n```" repo_url: https://huggingface.co/hongzoh/Yi-6B_Open-Orca 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_30T15_24_31.081696 path: - '**/details_harness|arc:challenge|25_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|arc:challenge|25_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-30T16-23-51.884120.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|gsm8k|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|gsm8k|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hellaswag|10_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hellaswag|10_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-30T15-24-31.081696.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-30T16-23-51.884120.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-management|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-management|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-30T16-23-51.884120.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|truthfulqa:mc|0_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|truthfulqa:mc|0_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-30T16-23-51.884120.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_30T15_24_31.081696 path: - '**/details_harness|winogrande|5_2024-03-30T15-24-31.081696.parquet' - split: 2024_03_30T16_23_51.884120 path: - '**/details_harness|winogrande|5_2024-03-30T16-23-51.884120.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-30T16-23-51.884120.parquet' - config_name: results data_files: - split: 2024_03_30T15_24_31.081696 path: - results_2024-03-30T15-24-31.081696.parquet - split: 2024_03_30T16_23_51.884120 path: - results_2024-03-30T16-23-51.884120.parquet - split: latest path: - results_2024-03-30T16-23-51.884120.parquet --- # Dataset Card for Evaluation run of hongzoh/Yi-6B_Open-Orca  Dataset automatically created during the evaluation run of model [hongzoh/Yi-6B_Open-Orca](https://huggingface.co/hongzoh/Yi-6B_Open-Orca) 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_hongzoh__Yi-6B_Open-Orca", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-30T16:23:51.884120](https://huggingface.co/datasets/open-llm-leaderboard/details_hongzoh__Yi-6B_Open-Orca/blob/main/results_2024-03-30T16-23-51.884120.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": 0.5717858475028725, "acc_stderr": 0.033155143858099624, "acc_norm": 0.5813524540566153, "acc_norm_stderr": 0.033897650897487565, "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38629872708898366, "mc2_stderr": 0.013894111895665723 }, "harness|arc:challenge|25": { "acc": 0.45819112627986347, "acc_stderr": 0.014560220308714695, "acc_norm": 0.5119453924914675, "acc_norm_stderr": 0.014607220340597167 }, "harness|hellaswag|10": { "acc": 0.4929296952798247, "acc_stderr": 0.004989282516055395, "acc_norm": 0.6959768970324637, "acc_norm_stderr": 0.0045905235720580155 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5037037037037037, "acc_stderr": 0.04319223625811331, "acc_norm": 0.5037037037037037, "acc_norm_stderr": 0.04319223625811331 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5921052631578947, "acc_stderr": 0.039993097127774734, "acc_norm": 0.5921052631578947, "acc_norm_stderr": 0.039993097127774734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6150943396226415, "acc_stderr": 0.02994649856769995, "acc_norm": 0.6150943396226415, "acc_norm_stderr": 0.02994649856769995 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6597222222222222, "acc_stderr": 0.039621355734862175, "acc_norm": 0.6597222222222222, "acc_norm_stderr": 0.039621355734862175 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "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": 0.5722543352601156, "acc_stderr": 0.037724468575180276, "acc_norm": 0.5722543352601156, "acc_norm_stderr": 0.037724468575180276 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.35294117647058826, "acc_stderr": 0.04755129616062947, "acc_norm": 0.35294117647058826, "acc_norm_stderr": 0.04755129616062947 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.502127659574468, "acc_stderr": 0.03268572658667492, "acc_norm": 0.502127659574468, "acc_norm_stderr": 0.03268572658667492 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.044346007015849245, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.044346007015849245 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.041546596717075474, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.041546596717075474 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.35714285714285715, "acc_stderr": 0.024677862841332783, "acc_norm": 0.35714285714285715, "acc_norm_stderr": 0.024677862841332783 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949097, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949097 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7516129032258064, "acc_stderr": 0.02458002892148101, "acc_norm": 0.7516129032258064, "acc_norm_stderr": 0.02458002892148101 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.49261083743842365, "acc_stderr": 0.03517603540361008, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.03517603540361008 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.58, "acc_stderr": 0.04960449637488583, "acc_norm": 0.58, "acc_norm_stderr": 0.04960449637488583 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6909090909090909, "acc_stderr": 0.036085410115739666, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.036085410115739666 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7878787878787878, "acc_stderr": 0.029126522834586804, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.029126522834586804 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7875647668393783, "acc_stderr": 0.029519282616817227, "acc_norm": 0.7875647668393783, "acc_norm_stderr": 0.029519282616817227 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5794871794871795, "acc_stderr": 0.02502861027671086, "acc_norm": 0.5794871794871795, "acc_norm_stderr": 0.02502861027671086 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.02671924078371216, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.02671924078371216 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6638655462184874, "acc_stderr": 0.03068473711513537, "acc_norm": 0.6638655462184874, "acc_norm_stderr": 0.03068473711513537 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7944954128440367, "acc_stderr": 0.017324352325016022, "acc_norm": 0.7944954128440367, "acc_norm_stderr": 0.017324352325016022 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.47685185185185186, "acc_stderr": 0.03406315360711507, "acc_norm": 0.47685185185185186, "acc_norm_stderr": 0.03406315360711507 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7107843137254902, "acc_stderr": 0.031822318676475524, "acc_norm": 0.7107843137254902, "acc_norm_stderr": 0.031822318676475524 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7215189873417721, "acc_stderr": 0.029178682304842548, "acc_norm": 0.7215189873417721, "acc_norm_stderr": 0.029178682304842548 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6367713004484304, "acc_stderr": 0.032277904428505, "acc_norm": 0.6367713004484304, "acc_norm_stderr": 0.032277904428505 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6412213740458015, "acc_stderr": 0.04206739313864907, "acc_norm": 0.6412213740458015, "acc_norm_stderr": 0.04206739313864907 }, "harness|hendrycksTest-international_law|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302871, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302871 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7177914110429447, "acc_stderr": 0.03536117886664743, "acc_norm": 0.7177914110429447, "acc_norm_stderr": 0.03536117886664743 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.33035714285714285, "acc_stderr": 0.044642857142857116, "acc_norm": 0.33035714285714285, "acc_norm_stderr": 0.044642857142857116 }, "harness|hendrycksTest-management|5": { "acc": 0.7961165048543689, "acc_stderr": 0.03989139859531772, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.03989139859531772 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8418803418803419, "acc_stderr": 0.023902325549560396, "acc_norm": 0.8418803418803419, "acc_norm_stderr": 0.023902325549560396 }, "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": 0.7177522349936143, "acc_stderr": 0.01609530296987855, "acc_norm": 0.7177522349936143, "acc_norm_stderr": 0.01609530296987855 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6676300578034682, "acc_stderr": 0.02536116874968823, "acc_norm": 0.6676300578034682, "acc_norm_stderr": 0.02536116874968823 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3463687150837989, "acc_stderr": 0.015913546784020117, "acc_norm": 0.3463687150837989, "acc_norm_stderr": 0.015913546784020117 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6339869281045751, "acc_stderr": 0.027582811415159617, "acc_norm": 0.6339869281045751, "acc_norm_stderr": 0.027582811415159617 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6688102893890675, "acc_stderr": 0.026730620728004913, "acc_norm": 0.6688102893890675, "acc_norm_stderr": 0.026730620728004913 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6327160493827161, "acc_stderr": 0.026822801759507894, "acc_norm": 0.6327160493827161, "acc_norm_stderr": 0.026822801759507894 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291488, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291488 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4335071707953064, "acc_stderr": 0.012656810383983969, "acc_norm": 0.4335071707953064, "acc_norm_stderr": 0.012656810383983969 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.4963235294117647, "acc_stderr": 0.030372015885428195, "acc_norm": 0.4963235294117647, "acc_norm_stderr": 0.030372015885428195 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6078431372549019, "acc_stderr": 0.019751726508762637, "acc_norm": 0.6078431372549019, "acc_norm_stderr": 0.019751726508762637 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.5727272727272728, "acc_stderr": 0.04738198703545483, "acc_norm": 0.5727272727272728, "acc_norm_stderr": 0.04738198703545483 }, "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": 0.7711442786069652, "acc_stderr": 0.029705284056772436, "acc_norm": 0.7711442786069652, "acc_norm_stderr": 0.029705284056772436 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.86, "acc_stderr": 0.03487350880197769, "acc_norm": 0.86, "acc_norm_stderr": 0.03487350880197769 }, "harness|hendrycksTest-virology|5": { "acc": 0.42771084337349397, "acc_stderr": 0.038515976837185335, "acc_norm": 0.42771084337349397, "acc_norm_stderr": 0.038515976837185335 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7719298245614035, "acc_stderr": 0.032180937956023566, "acc_norm": 0.7719298245614035, "acc_norm_stderr": 0.032180937956023566 }, "harness|truthfulqa:mc|0": { "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.38629872708898366, "mc2_stderr": 0.013894111895665723 }, "harness|winogrande|5": { "acc": 0.7040252565114443, "acc_stderr": 0.012829348226339006 }, "harness|gsm8k|5": { "acc": 0.13191811978771797, "acc_stderr": 0.009321265253857517 } } ``` ## 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]

Ammar-Azman/shinjiru-blog

--- license: mit ---

CyberHarem/anzu_pokemon

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of anzu/アンズ (Pokémon) This is the dataset of anzu/アンズ (Pokémon), containing 82 images and their tags. The core tags of this character are `purple_hair, purple_eyes, breasts`, 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 | 82 | 52.99 MiB | [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 82 | 37.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 138 | 62.31 MiB | [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 82 | 48.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 138 | 77.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/anzu_pokemon/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/anzu_pokemon', 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, blush, ninja, closed_mouth, looking_at_viewer, solo, purple_scarf, smile | | 1 | 7 | ![](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, ninja, scarf, fishnets, ponytail, black_hair, japanese_clothes, pokemon_(creature) | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | blush | ninja | closed_mouth | looking_at_viewer | solo | purple_scarf | smile | scarf | fishnets | ponytail | black_hair | japanese_clothes | pokemon_(creature) | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:--------|:---------------|:--------------------|:-------|:---------------|:--------|:--------|:-----------|:-----------|:-------------|:-------------------|:---------------------| | 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 | | | | | | | | 1 | 7 | ![](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 |

carnival13/massive_val_DA2_tokenized

--- dataset_info: features: - name: pass_label dtype: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 16518290 num_examples: 24160 download_size: 3770585 dataset_size: 16518290 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "massive_val_DA2_tokenized" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Fredithefish/GPTeacher-for-RedPajama-Chat

--- license: apache-2.0 ---

dvinagre/euskera-speaker-embeddings

--- dataset_info: features: - name: speaker_embeddings sequence: float64 splits: - name: train num_bytes: 40286600 num_examples: 9826 download_size: 33659727 dataset_size: 40286600 --- # Dataset Card for "euskera-speaker-embeddings" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

pszemraj/fleece2instructions

--- license: cc-by-4.0 source_datasets: tatsu-lab/alpaca task_categories: - text-generation - text2text-generation language: - en tags: - alpaca - instruction generation size_categories: - 10K<n<100K --- # The [`tatsu-lab/alpaca` dataset](https://huggingface.co/datasets/tatsu-lab/alpaca) was split into train/test/val with the goal of training text-to-text generation models to generate instruction prompts corresponding to arbitrary text. To do this, you would use - `output` as **the text2text model** input column - `instruction` as the text2text model target/output column ## modifications & filtering Rows that used the column `input` in the original dataset, and rows where the `output` column contains less than 8 words were dropped. Link to [function used to filter](https://gist.github.com/pszemraj/3633acb0cf3288d49b7bee550e756839) the original dataset after splitting - The filter_dataset function reads datasets, counts tokens in specified columns, filters rows based on a minimum number of tokens, drops specified columns and/or rows with non-NaN values, and saves the modified datasets to a new directory. It returns summary statistics of the modified records. ## dataset info Output of loading the dataset: ```python DatasetDict({ train: Dataset({ features: ['instruction', 'output'], num_rows: 23167 }) test: Dataset({ features: ['instruction', 'output'], num_rows: 2822 }) validation: Dataset({ features: ['instruction', 'output'], num_rows: 2866 }) }) ``` ## token counts in the `output` column t5 ![output-tokens](https://i.imgur.com/cOCeBmA.png) bart-base ![output-tokens](https://i.imgur.com/y5CZiMa.png) ---

kayteekay/jordan-generator-dataset

--- dataset_info: features: - name: image dtype: image - name: 'Unnamed: 0' dtype: int64 - name: text dtype: string splits: - name: train num_bytes: 605426023.284 num_examples: 2317 download_size: 509156922 dataset_size: 605426023.284 --- # Dataset Card for "jordan-generator-dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

AppleHarem/vanilla_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of vanilla (Arknights) This is the dataset of vanilla (Arknights), containing 30 images and their tags. 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)). This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI)) | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 30 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 65 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 68 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 30 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 30 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 30 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 65 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 65 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 31 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 68 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 68 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

ganader-ia-developers/cowdb

--- dataset_info: - config_name: default features: - name: image dtype: image - name: cow_id dtype: int64 - name: weight dtype: float64 - name: source dtype: string - name: breed dtype: string - name: sex dtype: string - name: orientation dtype: string - name: id dtype: string splits: - name: train num_bytes: 2999177241.0 num_examples: 876 download_size: 2991378426 dataset_size: 2999177241.0 - config_name: resized features: - name: image dtype: image - name: cow_id dtype: int64 - name: weight dtype: float64 - name: source dtype: string - name: breed dtype: string - name: sex dtype: string - name: orientation dtype: string - name: id dtype: string splits: - name: train num_bytes: 871009194.0 num_examples: 876 download_size: 871019789 dataset_size: 871009194.0 configs: - config_name: default data_files: - split: train path: data/train-* - config_name: resized data_files: - split: train path: resized/train-* ---

open-llm-leaderboard/details_ashercn97__giraffe-7b

--- pretty_name: Evaluation run of ashercn97/giraffe-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ashercn97/giraffe-7b](https://huggingface.co/ashercn97/giraffe-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 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_ashercn97__giraffe-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T20:53:47.065964](https://huggingface.co/datasets/open-llm-leaderboard/details_ashercn97__giraffe-7b/blob/main/results_2023-09-22T20-53-47.065964.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\": 0.00388003355704698,\n\ \ \"em_stderr\": 0.0006366682825520032,\n \"f1\": 0.06388317953020159,\n\ \ \"f1_stderr\": 0.0014760537495948263,\n \"acc\": 0.3581768614021409,\n\ \ \"acc_stderr\": 0.008713750066062537\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.00388003355704698,\n \"em_stderr\": 0.0006366682825520032,\n\ \ \"f1\": 0.06388317953020159,\n \"f1_stderr\": 0.0014760537495948263\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.026535253980288095,\n \ \ \"acc_stderr\": 0.004427045987265172\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6898184688239937,\n \"acc_stderr\": 0.013000454144859902\n\ \ }\n}\n```" repo_url: https://huggingface.co/ashercn97/giraffe-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_08_02T15_44_19.746565 path: - '**/details_harness|arc:challenge|25_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-02T15:44:19.746565.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T20_53_47.065964 path: - '**/details_harness|drop|3_2023-09-22T20-53-47.065964.parquet' - split: latest path: - '**/details_harness|drop|3_2023-09-22T20-53-47.065964.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T20_53_47.065964 path: - '**/details_harness|gsm8k|5_2023-09-22T20-53-47.065964.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-09-22T20-53-47.065964.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hellaswag|10_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-02T15:44:19.746565.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-management|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-02T15:44:19.746565.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_02T15_44_19.746565 path: - '**/details_harness|truthfulqa:mc|0_2023-08-02T15:44:19.746565.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-02T15:44:19.746565.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T20_53_47.065964 path: - '**/details_harness|winogrande|5_2023-09-22T20-53-47.065964.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-09-22T20-53-47.065964.parquet' - config_name: results data_files: - split: 2023_08_02T15_44_19.746565 path: - results_2023-08-02T15:44:19.746565.parquet - split: 2023_09_22T20_53_47.065964 path: - results_2023-09-22T20-53-47.065964.parquet - split: latest path: - results_2023-09-22T20-53-47.065964.parquet --- # Dataset Card for Evaluation run of ashercn97/giraffe-7b ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/ashercn97/giraffe-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 [ashercn97/giraffe-7b](https://huggingface.co/ashercn97/giraffe-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 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_ashercn97__giraffe-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T20:53:47.065964](https://huggingface.co/datasets/open-llm-leaderboard/details_ashercn97__giraffe-7b/blob/main/results_2023-09-22T20-53-47.065964.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": 0.00388003355704698, "em_stderr": 0.0006366682825520032, "f1": 0.06388317953020159, "f1_stderr": 0.0014760537495948263, "acc": 0.3581768614021409, "acc_stderr": 0.008713750066062537 }, "harness|drop|3": { "em": 0.00388003355704698, "em_stderr": 0.0006366682825520032, "f1": 0.06388317953020159, "f1_stderr": 0.0014760537495948263 }, "harness|gsm8k|5": { "acc": 0.026535253980288095, "acc_stderr": 0.004427045987265172 }, "harness|winogrande|5": { "acc": 0.6898184688239937, "acc_stderr": 0.013000454144859902 } } ``` ### 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]

open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-4x7b-v5

--- pretty_name: Evaluation run of jsfs11/MixtureofMerges-MoE-4x7b-v5 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [jsfs11/MixtureofMerges-MoE-4x7b-v5](https://huggingface.co/jsfs11/MixtureofMerges-MoE-4x7b-v5)\ \ 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_jsfs11__MixtureofMerges-MoE-4x7b-v5\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-01T04:07:58.931568](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-4x7b-v5/blob/main/results_2024-03-01T04-07-58.931568.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\": 0.653432343566328,\n\ \ \"acc_stderr\": 0.03198522504293209,\n \"acc_norm\": 0.6525554225781037,\n\ \ \"acc_norm_stderr\": 0.03265700882712598,\n \"mc1\": 0.594859241126071,\n\ \ \"mc1_stderr\": 0.01718561172775338,\n \"mc2\": 0.737297987613419,\n\ \ \"mc2_stderr\": 0.014526936687711855\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.7175767918088737,\n \"acc_stderr\": 0.013155456884097224,\n\ \ \"acc_norm\": 0.7389078498293515,\n \"acc_norm_stderr\": 0.01283552390947384\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7215694084843657,\n\ \ \"acc_stderr\": 0.004473104537026919,\n \"acc_norm\": 0.8899621589324835,\n\ \ \"acc_norm_stderr\": 0.003122973632039472\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7132075471698113,\n \"acc_stderr\": 0.02783491252754407,\n\ \ \"acc_norm\": 0.7132075471698113,\n \"acc_norm_stderr\": 0.02783491252754407\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7916666666666666,\n\ \ \"acc_stderr\": 0.033961162058453336,\n \"acc_norm\": 0.7916666666666666,\n\ \ \"acc_norm_stderr\": 0.033961162058453336\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \ \ \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ \ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107224,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107224\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.04292346959909282,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.04292346959909282\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.574468085106383,\n \"acc_stderr\": 0.03232146916224468,\n\ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.03232146916224468\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.02535574126305527,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.02535574126305527\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7838709677419354,\n\ \ \"acc_stderr\": 0.023415293433568525,\n \"acc_norm\": 0.7838709677419354,\n\ \ \"acc_norm_stderr\": 0.023415293433568525\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5320197044334976,\n \"acc_stderr\": 0.03510766597959215,\n\ \ \"acc_norm\": 0.5320197044334976,\n \"acc_norm_stderr\": 0.03510766597959215\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.917098445595855,\n \"acc_stderr\": 0.01989934131572178,\n\ \ \"acc_norm\": 0.917098445595855,\n \"acc_norm_stderr\": 0.01989934131572178\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402538,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402538\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.31851851851851853,\n \"acc_stderr\": 0.02840653309060846,\n \ \ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.02840653309060846\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6554621848739496,\n \"acc_stderr\": 0.030868682604121622,\n\ \ \"acc_norm\": 0.6554621848739496,\n \"acc_norm_stderr\": 0.030868682604121622\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242742,\n \"\ acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242742\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5324074074074074,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.5324074074074074,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8382352941176471,\n \"acc_stderr\": 0.025845017986926917,\n \"\ acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.025845017986926917\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7932489451476793,\n \"acc_stderr\": 0.0263616516683891,\n \ \ \"acc_norm\": 0.7932489451476793,\n \"acc_norm_stderr\": 0.0263616516683891\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\ \ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\ \ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159465,\n\ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159465\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\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7730061349693251,\n \"acc_stderr\": 0.03291099578615769,\n\ \ \"acc_norm\": 0.7730061349693251,\n \"acc_norm_stderr\": 0.03291099578615769\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.046695106638751906,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.046695106638751906\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\": 0.8846153846153846,\n\ \ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\ \ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834841,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834841\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7427745664739884,\n \"acc_stderr\": 0.023532925431044283,\n\ \ \"acc_norm\": 0.7427745664739884,\n \"acc_norm_stderr\": 0.023532925431044283\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4324022346368715,\n\ \ \"acc_stderr\": 0.01656897123354861,\n \"acc_norm\": 0.4324022346368715,\n\ \ \"acc_norm_stderr\": 0.01656897123354861\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7254901960784313,\n \"acc_stderr\": 0.025553169991826524,\n\ \ \"acc_norm\": 0.7254901960784313,\n \"acc_norm_stderr\": 0.025553169991826524\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818763,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818763\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.024383665531035454,\n\ \ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.024383665531035454\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.49645390070921985,\n \"acc_stderr\": 0.02982674915328092,\n \ \ \"acc_norm\": 0.49645390070921985,\n \"acc_norm_stderr\": 0.02982674915328092\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46870925684485004,\n\ \ \"acc_stderr\": 0.012745204626083135,\n \"acc_norm\": 0.46870925684485004,\n\ \ \"acc_norm_stderr\": 0.012745204626083135\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.028332959514031208,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.028332959514031208\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\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.02812342933514278,\n\ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.02812342933514278\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454115,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454115\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5481927710843374,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.5481927710843374,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.594859241126071,\n\ \ \"mc1_stderr\": 0.01718561172775338,\n \"mc2\": 0.737297987613419,\n\ \ \"mc2_stderr\": 0.014526936687711855\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.850828729281768,\n \"acc_stderr\": 0.010012598805627295\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6974981046247157,\n \ \ \"acc_stderr\": 0.012652544133186141\n }\n}\n```" repo_url: https://huggingface.co/jsfs11/MixtureofMerges-MoE-4x7b-v5 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_01T04_07_58.931568 path: - '**/details_harness|arc:challenge|25_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-01T04-07-58.931568.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|gsm8k|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hellaswag|10_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-01T04-07-58.931568.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-management|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-01T04-07-58.931568.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|truthfulqa:mc|0_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-01T04-07-58.931568.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_01T04_07_58.931568 path: - '**/details_harness|winogrande|5_2024-03-01T04-07-58.931568.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-01T04-07-58.931568.parquet' - config_name: results data_files: - split: 2024_03_01T04_07_58.931568 path: - results_2024-03-01T04-07-58.931568.parquet - split: latest path: - results_2024-03-01T04-07-58.931568.parquet --- # Dataset Card for Evaluation run of jsfs11/MixtureofMerges-MoE-4x7b-v5  Dataset automatically created during the evaluation run of model [jsfs11/MixtureofMerges-MoE-4x7b-v5](https://huggingface.co/jsfs11/MixtureofMerges-MoE-4x7b-v5) 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_jsfs11__MixtureofMerges-MoE-4x7b-v5", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-01T04:07:58.931568](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-4x7b-v5/blob/main/results_2024-03-01T04-07-58.931568.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": 0.653432343566328, "acc_stderr": 0.03198522504293209, "acc_norm": 0.6525554225781037, "acc_norm_stderr": 0.03265700882712598, "mc1": 0.594859241126071, "mc1_stderr": 0.01718561172775338, "mc2": 0.737297987613419, "mc2_stderr": 0.014526936687711855 }, "harness|arc:challenge|25": { "acc": 0.7175767918088737, "acc_stderr": 0.013155456884097224, "acc_norm": 0.7389078498293515, "acc_norm_stderr": 0.01283552390947384 }, "harness|hellaswag|10": { "acc": 0.7215694084843657, "acc_stderr": 0.004473104537026919, "acc_norm": 0.8899621589324835, "acc_norm_stderr": 0.003122973632039472 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6666666666666666, "acc_stderr": 0.04072314811876837, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.04072314811876837 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7132075471698113, "acc_stderr": 0.02783491252754407, "acc_norm": 0.7132075471698113, "acc_norm_stderr": 0.02783491252754407 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7916666666666666, "acc_stderr": 0.033961162058453336, "acc_norm": 0.7916666666666666, "acc_norm_stderr": 0.033961162058453336 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107224, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107224 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909282, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909282 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.574468085106383, "acc_stderr": 0.03232146916224468, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.03232146916224468 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4126984126984127, "acc_stderr": 0.02535574126305527, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.02535574126305527 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7838709677419354, "acc_stderr": 0.023415293433568525, "acc_norm": 0.7838709677419354, "acc_norm_stderr": 0.023415293433568525 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5320197044334976, "acc_stderr": 0.03510766597959215, "acc_norm": 0.5320197044334976, "acc_norm_stderr": 0.03510766597959215 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7757575757575758, "acc_stderr": 0.03256866661681102, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.03256866661681102 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8080808080808081, "acc_stderr": 0.028057791672989017, "acc_norm": 0.8080808080808081, "acc_norm_stderr": 0.028057791672989017 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.917098445595855, "acc_stderr": 0.01989934131572178, "acc_norm": 0.917098445595855, "acc_norm_stderr": 0.01989934131572178 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6666666666666666, "acc_stderr": 0.023901157979402538, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.023901157979402538 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.31851851851851853, "acc_stderr": 0.02840653309060846, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.02840653309060846 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6554621848739496, "acc_stderr": 0.030868682604121622, "acc_norm": 0.6554621848739496, "acc_norm_stderr": 0.030868682604121622 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.36423841059602646, "acc_stderr": 0.03929111781242742, "acc_norm": 0.36423841059602646, "acc_norm_stderr": 0.03929111781242742 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5324074074074074, "acc_stderr": 0.03402801581358966, "acc_norm": 0.5324074074074074, "acc_norm_stderr": 0.03402801581358966 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8382352941176471, "acc_stderr": 0.025845017986926917, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.025845017986926917 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7932489451476793, "acc_stderr": 0.0263616516683891, "acc_norm": 0.7932489451476793, "acc_norm_stderr": 0.0263616516683891 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.695067264573991, "acc_stderr": 0.030898610882477515, "acc_norm": 0.695067264573991, "acc_norm_stderr": 0.030898610882477515 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7938931297709924, "acc_stderr": 0.03547771004159465, "acc_norm": 0.7938931297709924, "acc_norm_stderr": 0.03547771004159465 }, "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": 0.7870370370370371, "acc_stderr": 0.0395783547198098, "acc_norm": 0.7870370370370371, "acc_norm_stderr": 0.0395783547198098 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7730061349693251, "acc_stderr": 0.03291099578615769, "acc_norm": 0.7730061349693251, "acc_norm_stderr": 0.03291099578615769 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4107142857142857, "acc_stderr": 0.046695106638751906, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.046695106638751906 }, "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": 0.8846153846153846, "acc_stderr": 0.02093019318517933, "acc_norm": 0.8846153846153846, "acc_norm_stderr": 0.02093019318517933 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834841, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834841 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7427745664739884, "acc_stderr": 0.023532925431044283, "acc_norm": 0.7427745664739884, "acc_norm_stderr": 0.023532925431044283 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4324022346368715, "acc_stderr": 0.01656897123354861, "acc_norm": 0.4324022346368715, "acc_norm_stderr": 0.01656897123354861 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7254901960784313, "acc_stderr": 0.025553169991826524, "acc_norm": 0.7254901960784313, "acc_norm_stderr": 0.025553169991826524 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818763, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818763 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7407407407407407, "acc_stderr": 0.024383665531035454, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.024383665531035454 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.49645390070921985, "acc_stderr": 0.02982674915328092, "acc_norm": 0.49645390070921985, "acc_norm_stderr": 0.02982674915328092 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.46870925684485004, "acc_stderr": 0.012745204626083135, "acc_norm": 0.46870925684485004, "acc_norm_stderr": 0.012745204626083135 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6801470588235294, "acc_stderr": 0.028332959514031208, "acc_norm": 0.6801470588235294, "acc_norm_stderr": 0.028332959514031208 }, "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": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7387755102040816, "acc_stderr": 0.02812342933514278, "acc_norm": 0.7387755102040816, "acc_norm_stderr": 0.02812342933514278 }, "harness|hendrycksTest-sociology|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454115, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454115 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.86, "acc_stderr": 0.0348735088019777, "acc_norm": 0.86, "acc_norm_stderr": 0.0348735088019777 }, "harness|hendrycksTest-virology|5": { "acc": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.594859241126071, "mc1_stderr": 0.01718561172775338, "mc2": 0.737297987613419, "mc2_stderr": 0.014526936687711855 }, "harness|winogrande|5": { "acc": 0.850828729281768, "acc_stderr": 0.010012598805627295 }, "harness|gsm8k|5": { "acc": 0.6974981046247157, "acc_stderr": 0.012652544133186141 } } ``` ## 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 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[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]

liuyanchen1015/MULTI_VALUE_wnli_who_as

--- dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 1153 num_examples: 5 - name: test num_bytes: 4996 num_examples: 14 - name: train num_bytes: 6964 num_examples: 24 download_size: 14662 dataset_size: 13113 --- # Dataset Card for "MULTI_VALUE_wnli_who_as" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

asrtre/qrtdfga

--- license: apache-2.0 ---

open-llm-leaderboard/details_Locutusque__Hercules-4.0-Mistral-v0.2-7B

--- pretty_name: Evaluation run of Locutusque/Hercules-4.0-Mistral-v0.2-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)\ \ 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_Locutusque__Hercules-4.0-Mistral-v0.2-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-03T02:39:45.725937](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__Hercules-4.0-Mistral-v0.2-7B/blob/main/results_2024-04-03T02-39-45.725937.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\": 0.6251062879958064,\n\ \ \"acc_stderr\": 0.0326560611851356,\n \"acc_norm\": 0.6293901017858107,\n\ \ \"acc_norm_stderr\": 0.03331443063112672,\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.01559475363200653,\n \"mc2\": 0.40987376850150087,\n\ \ \"mc2_stderr\": 0.014140110026214792\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5520477815699659,\n \"acc_stderr\": 0.014532011498211676,\n\ \ \"acc_norm\": 0.5895904436860068,\n \"acc_norm_stderr\": 0.014374922192642666\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6215893248356901,\n\ \ \"acc_stderr\": 0.004839995745602318,\n \"acc_norm\": 0.8260306711810397,\n\ \ \"acc_norm_stderr\": 0.0037830836739860627\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6710526315789473,\n \"acc_stderr\": 0.03823428969926604,\n\ \ \"acc_norm\": 0.6710526315789473,\n \"acc_norm_stderr\": 0.03823428969926604\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness|hendrycksTest-clinical_knowledge|5\": {\n \"\ acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n \ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7361111111111112,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\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\": 0.04878317312145632,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6127167630057804,\n\ \ \"acc_stderr\": 0.03714325906302065,\n \"acc_norm\": 0.6127167630057804,\n\ \ \"acc_norm_stderr\": 0.03714325906302065\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.047240073523838876,\n\ \ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.047240073523838876\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5702127659574469,\n \"acc_stderr\": 0.03236214467715564,\n\ \ \"acc_norm\": 0.5702127659574469,\n \"acc_norm_stderr\": 0.03236214467715564\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5087719298245614,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.5087719298245614,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482758,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482758\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3968253968253968,\n \"acc_stderr\": 0.02519710107424649,\n \"\ acc_norm\": 0.3968253968253968,\n \"acc_norm_stderr\": 0.02519710107424649\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7580645161290323,\n\ \ \"acc_stderr\": 0.024362599693031086,\n \"acc_norm\": 0.7580645161290323,\n\ \ \"acc_norm_stderr\": 0.024362599693031086\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198896,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198896\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8601036269430051,\n \"acc_stderr\": 0.025033870583015178,\n\ \ \"acc_norm\": 0.8601036269430051,\n \"acc_norm_stderr\": 0.025033870583015178\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6102564102564103,\n \"acc_stderr\": 0.024726967886647074,\n\ \ \"acc_norm\": 0.6102564102564103,\n \"acc_norm_stderr\": 0.024726967886647074\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.02857834836547308,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.02857834836547308\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6554621848739496,\n \"acc_stderr\": 0.030868682604121622,\n\ \ \"acc_norm\": 0.6554621848739496,\n \"acc_norm_stderr\": 0.030868682604121622\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\"\ : 0.8238532110091743,\n \"acc_stderr\": 0.016332882393431367,\n \"\ acc_norm\": 0.8238532110091743,\n \"acc_norm_stderr\": 0.016332882393431367\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4398148148148148,\n \"acc_stderr\": 0.033851779760448106,\n \"\ acc_norm\": 0.4398148148148148,\n \"acc_norm_stderr\": 0.033851779760448106\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7941176470588235,\n \"acc_stderr\": 0.028379449451588663,\n \"\ acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.028379449451588663\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7890295358649789,\n \"acc_stderr\": 0.02655837250266192,\n \ \ \"acc_norm\": 0.7890295358649789,\n \"acc_norm_stderr\": 0.02655837250266192\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\ : 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7222222222222222,\n\ \ \"acc_stderr\": 0.04330043749650743,\n \"acc_norm\": 0.7222222222222222,\n\ \ \"acc_norm_stderr\": 0.04330043749650743\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.03408997886857529,\n\ \ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.03408997886857529\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165612,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165612\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.7918263090676884,\n\ \ \"acc_stderr\": 0.014518592248904033,\n \"acc_norm\": 0.7918263090676884,\n\ \ \"acc_norm_stderr\": 0.014518592248904033\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6965317919075145,\n \"acc_stderr\": 0.02475241196091721,\n\ \ \"acc_norm\": 0.6965317919075145,\n \"acc_norm_stderr\": 0.02475241196091721\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2581005586592179,\n\ \ \"acc_stderr\": 0.014635185616527824,\n \"acc_norm\": 0.2581005586592179,\n\ \ \"acc_norm_stderr\": 0.014635185616527824\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7418300653594772,\n \"acc_stderr\": 0.025058503316958147,\n\ \ \"acc_norm\": 0.7418300653594772,\n \"acc_norm_stderr\": 0.025058503316958147\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\ \ \"acc_stderr\": 0.02567025924218893,\n \"acc_norm\": 0.7138263665594855,\n\ \ \"acc_norm_stderr\": 0.02567025924218893\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6851851851851852,\n \"acc_stderr\": 0.02584224870090217,\n\ \ \"acc_norm\": 0.6851851851851852,\n \"acc_norm_stderr\": 0.02584224870090217\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4485006518904824,\n\ \ \"acc_stderr\": 0.012702317490559802,\n \"acc_norm\": 0.4485006518904824,\n\ \ \"acc_norm_stderr\": 0.012702317490559802\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254184,\n\ \ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254184\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6650326797385621,\n \"acc_stderr\": 0.019094228167000318,\n \ \ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.019094228167000318\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302505,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302505\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.02892058322067561,\n\ \ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.02892058322067561\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8208955223880597,\n\ \ \"acc_stderr\": 0.027113286753111837,\n \"acc_norm\": 0.8208955223880597,\n\ \ \"acc_norm_stderr\": 0.027113286753111837\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263734,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263734\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5240963855421686,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.01559475363200653,\n \"mc2\": 0.40987376850150087,\n\ \ \"mc2_stderr\": 0.014140110026214792\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7853196527229677,\n \"acc_stderr\": 0.0115399127343454\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.4541319181197877,\n \ \ \"acc_stderr\": 0.01371441094526456\n }\n}\n```" repo_url: https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B 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: 2024_04_03T02_39_45.725937 path: - '**/details_harness|arc:challenge|25_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-03T02-39-45.725937.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|gsm8k|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hellaswag|10_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-03T02-39-45.725937.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-management|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-03T02-39-45.725937.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|truthfulqa:mc|0_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-03T02-39-45.725937.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_03T02_39_45.725937 path: - '**/details_harness|winogrande|5_2024-04-03T02-39-45.725937.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-03T02-39-45.725937.parquet' - config_name: results data_files: - split: 2024_04_03T02_39_45.725937 path: - results_2024-04-03T02-39-45.725937.parquet - split: latest path: - results_2024-04-03T02-39-45.725937.parquet --- # Dataset Card for Evaluation run of Locutusque/Hercules-4.0-Mistral-v0.2-7B  Dataset automatically created during the evaluation run of model [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B) 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_Locutusque__Hercules-4.0-Mistral-v0.2-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-03T02:39:45.725937](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__Hercules-4.0-Mistral-v0.2-7B/blob/main/results_2024-04-03T02-39-45.725937.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": 0.6251062879958064, "acc_stderr": 0.0326560611851356, "acc_norm": 0.6293901017858107, "acc_norm_stderr": 0.03331443063112672, "mc1": 0.2729498164014688, "mc1_stderr": 0.01559475363200653, "mc2": 0.40987376850150087, "mc2_stderr": 0.014140110026214792 }, "harness|arc:challenge|25": { "acc": 0.5520477815699659, "acc_stderr": 0.014532011498211676, "acc_norm": 0.5895904436860068, "acc_norm_stderr": 0.014374922192642666 }, "harness|hellaswag|10": { "acc": 0.6215893248356901, "acc_stderr": 0.004839995745602318, "acc_norm": 0.8260306711810397, "acc_norm_stderr": 0.0037830836739860627 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6710526315789473, "acc_stderr": 0.03823428969926604, "acc_norm": 0.6710526315789473, "acc_norm_stderr": 0.03823428969926604 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7361111111111112, "acc_stderr": 0.03685651095897532, "acc_norm": 0.7361111111111112, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "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": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6127167630057804, "acc_stderr": 0.03714325906302065, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.03714325906302065 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3431372549019608, "acc_stderr": 0.047240073523838876, "acc_norm": 0.3431372549019608, "acc_norm_stderr": 0.047240073523838876 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5702127659574469, "acc_stderr": 0.03236214467715564, "acc_norm": 0.5702127659574469, "acc_norm_stderr": 0.03236214467715564 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482758, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482758 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3968253968253968, "acc_stderr": 0.02519710107424649, "acc_norm": 0.3968253968253968, "acc_norm_stderr": 0.02519710107424649 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4444444444444444, "acc_stderr": 0.044444444444444495, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.044444444444444495 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7580645161290323, "acc_stderr": 0.024362599693031086, "acc_norm": 0.7580645161290323, "acc_norm_stderr": 0.024362599693031086 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5073891625615764, "acc_stderr": 0.035176035403610105, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.035176035403610105 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198896, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198896 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8601036269430051, "acc_stderr": 0.025033870583015178, "acc_norm": 0.8601036269430051, "acc_norm_stderr": 0.025033870583015178 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6102564102564103, "acc_stderr": 0.024726967886647074, "acc_norm": 0.6102564102564103, "acc_norm_stderr": 0.024726967886647074 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.32592592592592595, "acc_stderr": 0.02857834836547308, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.02857834836547308 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6554621848739496, "acc_stderr": 0.030868682604121622, "acc_norm": 0.6554621848739496, "acc_norm_stderr": 0.030868682604121622 }, "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": 0.8238532110091743, "acc_stderr": 0.016332882393431367, "acc_norm": 0.8238532110091743, "acc_norm_stderr": 0.016332882393431367 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4398148148148148, "acc_stderr": 0.033851779760448106, "acc_norm": 0.4398148148148148, "acc_norm_stderr": 0.033851779760448106 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7941176470588235, "acc_stderr": 0.028379449451588663, "acc_norm": 0.7941176470588235, "acc_norm_stderr": 0.028379449451588663 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7890295358649789, "acc_stderr": 0.02655837250266192, "acc_norm": 0.7890295358649789, "acc_norm_stderr": 0.02655837250266192 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness|hendrycksTest-international_law|5": { "acc": 0.768595041322314, "acc_stderr": 0.03849856098794088, "acc_norm": 0.768595041322314, "acc_norm_stderr": 0.03849856098794088 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7222222222222222, "acc_stderr": 0.04330043749650743, "acc_norm": 0.7222222222222222, "acc_norm_stderr": 0.04330043749650743 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7484662576687117, "acc_stderr": 0.03408997886857529, "acc_norm": 0.7484662576687117, "acc_norm_stderr": 0.03408997886857529 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness|hendrycksTest-management|5": { "acc": 0.8058252427184466, "acc_stderr": 0.039166677628225836, "acc_norm": 0.8058252427184466, "acc_norm_stderr": 0.039166677628225836 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8675213675213675, "acc_stderr": 0.022209309073165612, "acc_norm": 0.8675213675213675, "acc_norm_stderr": 0.022209309073165612 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7918263090676884, "acc_stderr": 0.014518592248904033, "acc_norm": 0.7918263090676884, "acc_norm_stderr": 0.014518592248904033 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6965317919075145, "acc_stderr": 0.02475241196091721, "acc_norm": 0.6965317919075145, "acc_norm_stderr": 0.02475241196091721 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2581005586592179, "acc_stderr": 0.014635185616527824, "acc_norm": 0.2581005586592179, "acc_norm_stderr": 0.014635185616527824 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7418300653594772, "acc_stderr": 0.025058503316958147, "acc_norm": 0.7418300653594772, "acc_norm_stderr": 0.025058503316958147 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7138263665594855, "acc_stderr": 0.02567025924218893, "acc_norm": 0.7138263665594855, "acc_norm_stderr": 0.02567025924218893 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6851851851851852, "acc_stderr": 0.02584224870090217, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.02584224870090217 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4929078014184397, "acc_stderr": 0.02982449855912901, "acc_norm": 0.4929078014184397, "acc_norm_stderr": 0.02982449855912901 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4485006518904824, "acc_stderr": 0.012702317490559802, "acc_norm": 0.4485006518904824, "acc_norm_stderr": 0.012702317490559802 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6580882352941176, "acc_stderr": 0.028814722422254184, "acc_norm": 0.6580882352941176, "acc_norm_stderr": 0.028814722422254184 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6650326797385621, "acc_stderr": 0.019094228167000318, "acc_norm": 0.6650326797385621, "acc_norm_stderr": 0.019094228167000318 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302505, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302505 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7142857142857143, "acc_stderr": 0.02892058322067561, "acc_norm": 0.7142857142857143, "acc_norm_stderr": 0.02892058322067561 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8208955223880597, "acc_stderr": 0.027113286753111837, "acc_norm": 0.8208955223880597, "acc_norm_stderr": 0.027113286753111837 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.85, "acc_stderr": 0.035887028128263734, "acc_norm": 0.85, "acc_norm_stderr": 0.035887028128263734 }, "harness|hendrycksTest-virology|5": { "acc": 0.5240963855421686, "acc_stderr": 0.03887971849597264, "acc_norm": 0.5240963855421686, "acc_norm_stderr": 0.03887971849597264 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.2729498164014688, "mc1_stderr": 0.01559475363200653, "mc2": 0.40987376850150087, "mc2_stderr": 0.014140110026214792 }, "harness|winogrande|5": { "acc": 0.7853196527229677, "acc_stderr": 0.0115399127343454 }, "harness|gsm8k|5": { "acc": 0.4541319181197877, "acc_stderr": 0.01371441094526456 } } ``` ## 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]

dnlpy/Stable-Diffusion

--- viewer: false ---

edbeeching/prj_gia_dataset_atari_2B_atari_gravitar_1111

--- library_name: gia tags: - deep-reinforcement-learning - reinforcement-learning - gia - multi-task - multi-modal - imitation-learning - offline-reinforcement-learning --- An imitation learning environment for the atari_gravitar environment, sample for the policy atari_2B_atari_gravitar_1111 This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia

open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2

--- pretty_name: Evaluation run of perlthoughts/Chupacabra-7B-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2)\ \ 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 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_perlthoughts__Chupacabra-7B-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-04T18:02:58.053786](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2/blob/main/results_2023-12-04T18-02-58.053786.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\": 0.6367599015709243,\n\ \ \"acc_stderr\": 0.03218025799515212,\n \"acc_norm\": 0.6396357428050704,\n\ \ \"acc_norm_stderr\": 0.0328187456646889,\n \"mc1\": 0.397796817625459,\n\ \ \"mc1_stderr\": 0.017133934248559635,\n \"mc2\": 0.5717077514762566,\n\ \ \"mc2_stderr\": 0.0156197692783717\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.613481228668942,\n \"acc_stderr\": 0.014230084761910478,\n\ \ \"acc_norm\": 0.6518771331058021,\n \"acc_norm_stderr\": 0.013921008595179342\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6473809998008365,\n\ \ \"acc_stderr\": 0.004768088918512182,\n \"acc_norm\": 0.8338976299541924,\n\ \ \"acc_norm_stderr\": 0.003714118884317389\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.03782728980865469,\n\ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.03782728980865469\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\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\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.37,\n\ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.37,\n \ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-college_medicine|5\"\ : {\n \"acc\": 0.6127167630057804,\n \"acc_stderr\": 0.03714325906302065,\n\ \ \"acc_norm\": 0.6127167630057804,\n \"acc_norm_stderr\": 0.03714325906302065\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.38235294117647056,\n\ \ \"acc_stderr\": 0.04835503696107223,\n \"acc_norm\": 0.38235294117647056,\n\ \ \"acc_norm_stderr\": 0.04835503696107223\n },\n \"harness|hendrycksTest-computer_security|5\"\ : {\n \"acc\": 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \ \ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.04163331998932261\n \ \ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.548936170212766,\n\ \ \"acc_stderr\": 0.03252909619613197,\n \"acc_norm\": 0.548936170212766,\n\ \ \"acc_norm_stderr\": 0.03252909619613197\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.5087719298245614,\n \"acc_stderr\": 0.047028804320496165,\n\ \ \"acc_norm\": 0.5087719298245614,\n \"acc_norm_stderr\": 0.047028804320496165\n\ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.5793103448275863,\n \"acc_stderr\": 0.0411391498118926,\n \"acc_norm\"\ : 0.5793103448275863,\n \"acc_norm_stderr\": 0.0411391498118926\n },\n\ \ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.3994708994708995,\n\ \ \"acc_stderr\": 0.02522545028406788,\n \"acc_norm\": 0.3994708994708995,\n\ \ \"acc_norm_stderr\": 0.02522545028406788\n },\n \"harness|hendrycksTest-formal_logic|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.04472135954999579,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.04472135954999579\n },\n\ \ \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.32,\n \ \ \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\": 0.32,\n \"\ acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-high_school_biology|5\"\ : {\n \"acc\": 0.7709677419354839,\n \"acc_stderr\": 0.023904914311782658,\n\ \ \"acc_norm\": 0.7709677419354839,\n \"acc_norm_stderr\": 0.023904914311782658\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n \"\ acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7575757575757576,\n \"acc_stderr\": 0.030532892233932022,\n \"\ acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.030532892233932022\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033456,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033456\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062157,\n\ \ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062157\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3111111111111111,\n \"acc_stderr\": 0.028226446749683515,\n \ \ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.028226446749683515\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.03077805742293167,\n \ \ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.03077805742293167\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2913907284768212,\n \"acc_stderr\": 0.037101857261199946,\n \"\ acc_norm\": 0.2913907284768212,\n \"acc_norm_stderr\": 0.037101857261199946\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8293577981651377,\n \"acc_stderr\": 0.016129271025099867,\n \"\ acc_norm\": 0.8293577981651377,\n \"acc_norm_stderr\": 0.016129271025099867\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ \ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.8333333333333334,\n \"acc_stderr\": 0.026156867523931045,\n\ \ \"acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.026156867523931045\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621126,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621126\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\ \ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.037601780060266196,\n\ \ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.037601780060266196\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\ \ \"acc_stderr\": 0.013816335389973136,\n \"acc_norm\": 0.8173690932311622,\n\ \ \"acc_norm_stderr\": 0.013816335389973136\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6820809248554913,\n \"acc_stderr\": 0.025070713719153183,\n\ \ \"acc_norm\": 0.6820809248554913,\n \"acc_norm_stderr\": 0.025070713719153183\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4033519553072626,\n\ \ \"acc_stderr\": 0.01640712303219525,\n \"acc_norm\": 0.4033519553072626,\n\ \ \"acc_norm_stderr\": 0.01640712303219525\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7058823529411765,\n \"acc_stderr\": 0.026090162504279056,\n\ \ \"acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.026090162504279056\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\ \ \"acc_stderr\": 0.026236965881153273,\n \"acc_norm\": 0.6913183279742765,\n\ \ \"acc_norm_stderr\": 0.026236965881153273\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7037037037037037,\n \"acc_stderr\": 0.025407197798890162,\n\ \ \"acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.025407197798890162\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \ \ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4602346805736636,\n\ \ \"acc_stderr\": 0.01272978538659856,\n \"acc_norm\": 0.4602346805736636,\n\ \ \"acc_norm_stderr\": 0.01272978538659856\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.028661996202335303,\n\ \ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.028661996202335303\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6519607843137255,\n \"acc_stderr\": 0.01927099870822398,\n \ \ \"acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.01927099870822398\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7551020408163265,\n \"acc_stderr\": 0.027529637440174923,\n\ \ \"acc_norm\": 0.7551020408163265,\n \"acc_norm_stderr\": 0.027529637440174923\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.02587064676616913,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.02587064676616913\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \ \ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\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\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.397796817625459,\n\ \ \"mc1_stderr\": 0.017133934248559635,\n \"mc2\": 0.5717077514762566,\n\ \ \"mc2_stderr\": 0.0156197692783717\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7813733228097869,\n \"acc_stderr\": 0.01161619821577323\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5473843821076573,\n \ \ \"acc_stderr\": 0.013710499070935132\n }\n}\n```" repo_url: https://huggingface.co/perlthoughts/Chupacabra-7B-v2 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_11_23T09_06_05.823190 path: - '**/details_harness|arc:challenge|25_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|arc:challenge|25_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|arc:challenge|25_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-04T18-02-58.053786.parquet' - config_name: harness_drop_3 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|drop|3_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|drop|3_2023-11-23T09-18-59.989572.parquet' - split: latest path: - '**/details_harness|drop|3_2023-11-23T09-18-59.989572.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|gsm8k|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|gsm8k|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_03T15_21_26.428024 path: - '**/details_harness|gsm8k|5_2023-12-03T15-21-26.428024.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|gsm8k|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hellaswag|10_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hellaswag|10_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hellaswag|10_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-management|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T09-06-05.823190.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T09-06-05.823190.parquet' - 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'**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-02-58.053786.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-international_law|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-international_law|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-management|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-management|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-management|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-marketing|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-marketing|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-sociology|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-sociology|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-virology|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-virology|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-02-58.053786.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|truthfulqa:mc|0_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|truthfulqa:mc|0_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|truthfulqa:mc|0_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-04T18-02-58.053786.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_11_23T09_06_05.823190 path: - '**/details_harness|winogrande|5_2023-11-23T09-06-05.823190.parquet' - split: 2023_11_23T09_18_59.989572 path: - '**/details_harness|winogrande|5_2023-11-23T09-18-59.989572.parquet' - split: 2023_12_04T18_02_58.053786 path: - '**/details_harness|winogrande|5_2023-12-04T18-02-58.053786.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-04T18-02-58.053786.parquet' - config_name: results data_files: - split: 2023_11_23T09_06_05.823190 path: - results_2023-11-23T09-06-05.823190.parquet - split: 2023_11_23T09_18_59.989572 path: - results_2023-11-23T09-18-59.989572.parquet - split: 2023_12_03T15_21_26.428024 path: - results_2023-12-03T15-21-26.428024.parquet - split: 2023_12_04T18_02_58.053786 path: - results_2023-12-04T18-02-58.053786.parquet - split: latest path: - results_2023-12-04T18-02-58.053786.parquet --- # Dataset Card for Evaluation run of perlthoughts/Chupacabra-7B-v2 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/perlthoughts/Chupacabra-7B-v2 - **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 [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2) 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 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_perlthoughts__Chupacabra-7B-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-04T18:02:58.053786](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-7B-v2/blob/main/results_2023-12-04T18-02-58.053786.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": 0.6367599015709243, "acc_stderr": 0.03218025799515212, "acc_norm": 0.6396357428050704, "acc_norm_stderr": 0.0328187456646889, "mc1": 0.397796817625459, "mc1_stderr": 0.017133934248559635, "mc2": 0.5717077514762566, "mc2_stderr": 0.0156197692783717 }, "harness|arc:challenge|25": { "acc": 0.613481228668942, "acc_stderr": 0.014230084761910478, "acc_norm": 0.6518771331058021, "acc_norm_stderr": 0.013921008595179342 }, "harness|hellaswag|10": { "acc": 0.6473809998008365, "acc_stderr": 0.004768088918512182, "acc_norm": 0.8338976299541924, "acc_norm_stderr": 0.003714118884317389 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.03782728980865469, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.03782728980865469 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "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": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6127167630057804, "acc_stderr": 0.03714325906302065, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.03714325906302065 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.548936170212766, "acc_stderr": 0.03252909619613197, "acc_norm": 0.548936170212766, "acc_norm_stderr": 0.03252909619613197 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5087719298245614, "acc_stderr": 0.047028804320496165, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.047028804320496165 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5793103448275863, "acc_stderr": 0.0411391498118926, "acc_norm": 0.5793103448275863, "acc_norm_stderr": 0.0411391498118926 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3994708994708995, "acc_stderr": 0.02522545028406788, "acc_norm": 0.3994708994708995, "acc_norm_stderr": 0.02522545028406788 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5, "acc_stderr": 0.04472135954999579, "acc_norm": 0.5, "acc_norm_stderr": 0.04472135954999579 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7709677419354839, "acc_stderr": 0.023904914311782658, "acc_norm": 0.7709677419354839, "acc_norm_stderr": 0.023904914311782658 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4975369458128079, "acc_stderr": 0.03517945038691063, "acc_norm": 0.4975369458128079, "acc_norm_stderr": 0.03517945038691063 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7575757575757576, "acc_stderr": 0.030532892233932022, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.030532892233932022 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9015544041450777, "acc_stderr": 0.021500249576033456, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.021500249576033456 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6461538461538462, "acc_stderr": 0.024243783994062157, "acc_norm": 0.6461538461538462, "acc_norm_stderr": 0.024243783994062157 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3111111111111111, "acc_stderr": 0.028226446749683515, "acc_norm": 0.3111111111111111, "acc_norm_stderr": 0.028226446749683515 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6596638655462185, "acc_stderr": 0.03077805742293167, "acc_norm": 0.6596638655462185, "acc_norm_stderr": 0.03077805742293167 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2913907284768212, "acc_stderr": 0.037101857261199946, "acc_norm": 0.2913907284768212, "acc_norm_stderr": 0.037101857261199946 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8293577981651377, "acc_stderr": 0.016129271025099867, "acc_norm": 0.8293577981651377, "acc_norm_stderr": 0.016129271025099867 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5, "acc_stderr": 0.034099716973523674, "acc_norm": 0.5, "acc_norm_stderr": 0.034099716973523674 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8333333333333334, "acc_stderr": 0.026156867523931045, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.026156867523931045 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8016877637130801, "acc_stderr": 0.025955020841621126, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.025955020841621126 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6816143497757847, "acc_stderr": 0.03126580522513713, "acc_norm": 0.6816143497757847, "acc_norm_stderr": 0.03126580522513713 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7404580152671756, "acc_stderr": 0.03844876139785271, "acc_norm": 0.7404580152671756, "acc_norm_stderr": 0.03844876139785271 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8099173553719008, "acc_stderr": 0.03581796951709282, "acc_norm": 0.8099173553719008, "acc_norm_stderr": 0.03581796951709282 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7962962962962963, "acc_stderr": 0.03893542518824847, "acc_norm": 0.7962962962962963, "acc_norm_stderr": 0.03893542518824847 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.754601226993865, "acc_stderr": 0.03380939813943354, "acc_norm": 0.754601226993865, "acc_norm_stderr": 0.03380939813943354 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5089285714285714, "acc_stderr": 0.04745033255489123, "acc_norm": 0.5089285714285714, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.8252427184466019, "acc_stderr": 0.037601780060266196, "acc_norm": 0.8252427184466019, "acc_norm_stderr": 0.037601780060266196 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8717948717948718, "acc_stderr": 0.02190190511507333, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.02190190511507333 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8173690932311622, "acc_stderr": 0.013816335389973136, "acc_norm": 0.8173690932311622, "acc_norm_stderr": 0.013816335389973136 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6820809248554913, "acc_stderr": 0.025070713719153183, "acc_norm": 0.6820809248554913, "acc_norm_stderr": 0.025070713719153183 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4033519553072626, "acc_stderr": 0.01640712303219525, "acc_norm": 0.4033519553072626, "acc_norm_stderr": 0.01640712303219525 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7058823529411765, "acc_stderr": 0.026090162504279056, "acc_norm": 0.7058823529411765, "acc_norm_stderr": 0.026090162504279056 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6913183279742765, "acc_stderr": 0.026236965881153273, "acc_norm": 0.6913183279742765, "acc_norm_stderr": 0.026236965881153273 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7037037037037037, "acc_stderr": 0.025407197798890162, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.025407197798890162 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4787234042553192, "acc_stderr": 0.029800481645628693, "acc_norm": 0.4787234042553192, "acc_norm_stderr": 0.029800481645628693 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4602346805736636, "acc_stderr": 0.01272978538659856, "acc_norm": 0.4602346805736636, "acc_norm_stderr": 0.01272978538659856 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6654411764705882, "acc_stderr": 0.028661996202335303, "acc_norm": 0.6654411764705882, "acc_norm_stderr": 0.028661996202335303 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6519607843137255, "acc_stderr": 0.01927099870822398, "acc_norm": 0.6519607843137255, "acc_norm_stderr": 0.01927099870822398 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7551020408163265, "acc_stderr": 0.027529637440174923, "acc_norm": 0.7551020408163265, "acc_norm_stderr": 0.027529637440174923 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8407960199004975, "acc_stderr": 0.02587064676616913, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.02587064676616913 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.88, "acc_stderr": 0.03265986323710906, "acc_norm": 0.88, "acc_norm_stderr": 0.03265986323710906 }, "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": 0.8128654970760234, "acc_stderr": 0.02991312723236804, "acc_norm": 0.8128654970760234, "acc_norm_stderr": 0.02991312723236804 }, "harness|truthfulqa:mc|0": { "mc1": 0.397796817625459, "mc1_stderr": 0.017133934248559635, "mc2": 0.5717077514762566, "mc2_stderr": 0.0156197692783717 }, "harness|winogrande|5": { "acc": 0.7813733228097869, "acc_stderr": 0.01161619821577323 }, "harness|gsm8k|5": { "acc": 0.5473843821076573, "acc_stderr": 0.013710499070935132 } } ``` ### 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]

realshyfox/LazyLlama2

--- license: llama2 ---

medric49/test

--- dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: category dtype: string - name: response_1 dtype: string - name: response_2 dtype: string - name: response_3 dtype: string splits: - name: train num_bytes: 24320 num_examples: 10 download_size: 29608 dataset_size: 24320 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Tianzhou/auditor_sentiment

--- annotations_creators: - expert-generated language_creators: - found language: - en multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original task_categories: - text-classification task_ids: - multi-class-classification - sentiment-classification paperswithcode_id: null pretty_name: Auditor_Sentiment --- # Dataset Card for Auditor Sentiment ## 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) ## Dataset Description Auditor review sentiment collected by News Department - **Point of Contact:** Talked to COE for Auditing, currently sue@demo.org ### Dataset Summary Auditor sentiment dataset of sentences from financial news. The dataset consists of several thousand sentences from English language financial news categorized by sentiment. ### Supported Tasks and Leaderboards Sentiment Classification ### Languages English ## Dataset Structure ### Data Instances ``` "sentence": "Pharmaceuticals group Orion Corp reported a fall in its third-quarter earnings that were hit by larger expenditures on R&D and marketing .", "label": "negative" ``` ### Data Fields - sentence: a tokenized line from the dataset - label: a label corresponding to the class as a string: 'positive' - (2), 'neutral' - (1), or 'negative' - (0) ### Data Splits A train/test split was created randomly with a 75/25 split ## Dataset Creation ### Curation Rationale To gather our auditor evaluations into one dataset. Previous attempts using off-the-shelf sentiment had only 70% F1, this dataset was an attempt to improve upon that performance. ### Source Data #### Initial Data Collection and Normalization The corpus used in this paper is made out of English news reports. #### Who are the source language producers? The source data was written by various auditors. ### Annotations #### Annotation process This release of the auditor reviews covers a collection of 4840 sentences. The selected collection of phrases was annotated by 16 people with adequate background knowledge on financial markets. The subset here is where inter-annotation agreement was greater than 75%. #### Who are the annotators? They were pulled from the SME list, names are held by sue@demo.org ### Personal and Sensitive Information There is no personal or sensitive information in this dataset. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases All annotators were from the same institution and so interannotator agreement should be understood with this taken into account. ### Licensing Information License: Demo.Org Proprietary - DO NOT SHARE This dataset is based on the [financial phrasebank](https://huggingface.co/datasets/financial_phrasebank) dataset.